Conference Schedule

by | Nov 5, 2021

December 7, 2021
  • PhD Panel December 7, 2021  14:00 - 18:30
    14:00 Opening Remarks  
    14:05 Keynote Speaker: Sibo Wang, The Chinese University of Hong Kong
        Title: Managing and Mining with Massive Graphs
        Session Chair: Lisi Chen
    15:00   (long) Jun Wang, Jinghua Tan, Jiujiu Chen, and Hanlei Jin, "A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation Derivation"
        (long) S23202: Tianyi LI, Philippe Goupil, Josiane Mothe, and Olivier Teste, "Early Detection of Atmospheric Turbulence for Civil Aircraft: A Data Driven Approach"
        (long) DM846: Bo Xiao, Wuguannan Yao, Xiang Zhou, and Xianhua Peng, "Optimal Option Hedging with Policy Gradient"
        (long) DM1111: Boris Belyakov and Dmitry Sizykh, "Deep Reinforcement Learning Task for Portfolio Construction"
        (long) S23201: Timo Spinde, "An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles"
        (short) S23206: Smilla Hinterreiter, "A Gamified Approach To Automatically Detect Biased Wording And Train Critical Reading"
        (short) S23205: Pierre Haritz, Lukas Pfahler, Thomas Liebig, and Helena Kotthaus, "Self-Supervised Source Code Annotation from Related Research Papers"
        (short) S23204: YongKyung Oh and Sungil Kim, "Multi-channel Convolution Neural Network for Gas Mixture Classification"
        Session Chair: Sibylle Hess and Meng-Fen Chiang 
    16:30 Coffee Break Gather Town 2hr Coffee Break
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  • Workshop 01 - NeuRec: Advanced Neural Algorithms and Theories for Recommender Systems December 7, 2021  14:00 - 21:00
    14:00 Opening Remarks Xiuzhen Zhang, Yan Wang
    14:10 Keynote Speaker: Guandong Xu, University of Technology Sydney, Australia
        Title:  Causal Learning for Recommender Systems
        Session Chair: Shoujin Wang
    15:05 Presentations S01201: Shaina Raza, Syed Raza Bashir, Dora D. Liu, and Usman Naseem, "Balanced News Neural Network for a News Recommender System" (15mins)
        S01202: Joonyoung Yi, Beomsu Kim, and Buru Chang, "Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate Prediction" (15mins)
        S01203: Shaoliang Zhang, Xuefeng Liu, Jianwei Niu, and Huiyong Li, "ContentHE: Content-enhanced Network Embedding for Hashtag Representation" (10mins)
        Session Chair:  Qi Zhang
    15:45 Coffee Break Gather Town 10mins Break
    15:55 Keynote Speaker: Fangzhao Wu, Microsoft Research Asia
        Title:  Personalized and Responsible News Recommendation
        Session Chair: Wenpeng Lu
    16:50 Presentations S01206: Tobias Koopmann, Konstantin Kobs, Konstantin Herud, and Andreas Hotho, "CoBERT: Scientific Collaboration Prediction viaSequential Recommendation" (15mins)
        DM395: Wenxiong Wu, Yongli Cheng, Hong Jiang, Fang Wang, Xianghao Xu, Dan He, and Jing Yu, "IBFM: An Instance-weight Balanced Factorization Machine for Sparse Prediction" (15mins)
        S01204: Junbeom Kim, Sihyun Jeong, Goeon Park, Kihoon Cha, Ilhyun Suh, and Byungkook Oh, "DynaPosGNN: Dynamic-Positional GNN for Next POI Recommendation" (10mins)
        Session Chair: Qi Zhang
    17:30 Coffee Break Gather Town 10mins Break
    17:40 Keynote Speaker: Jian Cao, Shanghai Jiaotong University, China
        Title:  Towards Building a Fair Recommender Systems
        Session Chair: Liang Hu
    18:35 Presentations DM554: Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, and Ziqiang Cui, "Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context" (15mins)
        DM914: Vladimir Provalov, Elizaveta Stavinova, and Petr Chunaev, "SynEvaRec: A Framework for Evaluating Recommender Systems on Synthetic Data Classes" (15mins)
        S01205: Domokos Miklós Kelen and András Benczúr, "A probabilistic perspective on nearest neighbor for implicit recommendation" (10mins)
        Session Chair: Liang Hu
    19:15 Coffee Break Gather Town 10mins Break
    19:25 Keynote Speaker: Dietmar Jannach, University of Klagenfurt, Austria
        Title:  Recommender Systems,  McNamara, and the Illusion of Progress
        Session Chair: Shoujin Wang
    20:20 Presentations DM970: Chuanyan Zhang and Xiaoguang Hong, "Challenging the Long Tail Recommendation on Heterogeneous Information Network" (15mins)
        S01209: Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, and Andreas Hotho, "Sequential Item Recommendation in the MOBA Game Dota 2" (10mins)
        DM1201: Minghao Chen and Jiale Zheng, "Incorporating Adjacent User Modeling into Session-based Recommendation with Graph Neural Networks" (10mins)
        Session Chair: Sunny Verma
    20:55 Closing Remarks Xiuzhen Zhang,Yan Wang
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  • Workshop 02 - SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction December 7, 2021  14:00 - 21:00
    14:00 Opening Remarks  
    14:15 Keynote Speaker: Dr Preslav Nakov, Qatar Computing Research Institute (QCRI)
        Title: Detecting the "Fake News" Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic
        Session Chair: Erik Cambria
    15:00 Presentations DM700 Maoyuan Zhang and Jieqiong Zhang, Modelling Context with Graph Convolutional Networks for Aspect-based Sentiment Analysis
        S02208 Jan Kocoń, Jarema Radom, Ewa Kaczmarz-Wawryk, Kamil Wabnic, Ada Zajączkowska, and Monika Zaśko-Zielińska, AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment Analysis
        S02205 Harsh Sakhrani, Saloni Parekh, and Pratik Ratadiya, Contexualized Embedding for Social Media-specific Sentiment Analysis
        DM578 David Chong, Erl Lee, Matthew Fan, Pavan Holur, Shadi Shahsavari, Timothy Tangherlini, and Vwani Roychowdhury, A real-time platform for contextualized conspiracy theory analysis
        S02207 Yixing Chen and JingTao Yao, Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough Sets
        DM862 Amirmohammad Kazemeini, Sudipta Singha Roy, Robert E Mercer, and Erik Cambria, Interpretable Representation for Personality Detection
        Session Chair: Erik Cambria
    16:45 Coffee Break Network Break
    17:15 Presentations S02210 Karol Gawron, Michał Pogoda, Norbert Ropiak, Michał Swędrowski, and Jan Kocoń, Deep Neural Language-agnostic Multi-task Text Classifier
        S02206 Atrik Das, Kushal Sai Gunturi, Aditya Chandrasekhar, Abhinandan Padhi, and Qian Liu, Automated Pipeline for Sentiment Analysis of Political Tweets
        S02215 Tonmoy Sarker, Md Jahedul Islam, Md Shubiour Shuvo, Mohammad Zavid Parvez, and Md Anisur Rahman, Sentiment Analysis Framework Using Data Driven Approach
        S02214 Dazhi Jiang, A Multitask Learning Framework for Multimodal Sentiment Analysis
        S02203 Ashok Kumar J, Erik Cambria, and Tina Esther Trueman, DUSE: A New Benchmark Dataset for Drug User Sentiment Extraction
        S02213 Harsh Patel, Xulang Zhang, and Qian Liu, Enhancing Negation Scope Detection using Multi-Task Learning
        Session Chair: Erik Cambria
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  • Workshop 03 - DMS: Data Mining for Service December 7, 2021  14:00 - 21:00
    14:00 Opening Remarks  
    14:05 Presentations DM680: Zhao Wang, Yuusuke Nakano, and Ken Nishimatsu, "The Vehicle Routing Problem with Time Windows and Time Costs"
        S03205: Hiun Kim, Jisu Jeong, Kyung-Min Kim, Dongjun Lee, Hyun Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, and Rak Yeong Kim, "Intent-based Product Collections for E-commerce using Pretrained Language Models"
        S03201: Momoko Fujita, Akari Yamada, Mao Susuki, Hiroya Makino, and Eisuke Kita, "Application of Machine Learning for Growth Environment Prediction in Agriculture"
        S03204: Amit Neil Ramkissoon and Wayne Goodridge, "Legitimacy: An Ensemble Learning Model for Credibility Based Fake News Detection"
        S03202: Ryo Matsui, Suguru Yaginuma, Taketo Naito, and Kazuhide Nakata, "Confident Collaborative Metric Learning"
        S03213: Giuliano Giuliani, Fabrizio Giuliani, and Summer Husband, "A data-driven approach to predict hourly bill rates for US contingent workers"
        Session Chair:  Katsutoshi Yada
    16:30 Coffee Break Networking Break
    17:30 Presentations S03210: Weizheng Zhao, Yi Zuo, Licheng Zhao, and Junhao Jiang, "Application of LSTM Models to Predict In-store Trajectory of Customers"
        DM894: Mahdi Tabassian, Robbert Verbeke, Tom Tourwe, and Elena Tsiporkova, "Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects"
        S03221: Yuta Kaneko, "A Time-series Analysis of How Google Trends Searches Affect Cryptocurrency Prices for Decentralized Finance and Non-Fungible Tokens"
        DM264: Hiroya Makino and Eisuke Kita, "Stochastic Schemata Exploiter-Based AutoML"
        S03203: Fengmei Sun, Licheng Zhao, Yi Zuo, and Yuta Kaneko, "Application of Fractal Analysis for Customer Classification Based on Path Data"
        S03211: Parag Agrawal, Priyadarshi., Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, and Maitreya Natu, "Prediction Diagnostics – Addressing data veracity in predicting batch processes"
        Session Chair:  Shusaku Tsumoto
    20:00 Closing Remarks  
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  • Workshop 04 - IncrLearn: Incremental classification and clustering, concept drift, novelty detection in big/fast data context December 7, 2021  14:00 - 21:00
    14:00 Opening Remarks  
    14:05 Keynote Speaker: Heitor Gomez, University of Waikato, New Zealand
          Title: Learning for Delayed Partially Labelled Data Streams
          Session Chair: Jean-Charles Lamirel
    15:00 Presentations S06205: Alessio Bernardo, Giacomo Ziffer, and Emanuele Della Valle, "IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data Streams"
          DM850: Deeksha Aggarwal, Senthilnath Jayavelu, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Ferdaus Md Meftahul, and Xiaoli Li, "SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification"
          DM464: Saulo Martiello Mastelini, Jacob Montiel, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer, and Andre C. P. L. F. de Carvalho, "Fast and lightweight binary and multi-branch Hoeffding Tree Regressors"
          S06203: Xihui Wang, Pascale Kuntz, Frank Meyer, and Vincent Lemaire, "Multi-Label kNN classifier with Online Dual Memory on data stream"
          DM882: Guangtao Zheng and Aidong Zhang, "Few-Shot Class-incremental Learning with Meta-Learned Class Structures"
          DM1110: Johannes Langguth, Aigars Tumanis, and Ariful Azad, "Incremental Clustering Algorithms for Massive Dynamic Graphs"
          Session Chair: Heitor Gomez
    15:45 Coffee Break Networking Break
    18:15 Keynote Speaker: Leandro Minku, University of Birningham, UK
          Title: Towards Robustness to Different Types of Concept Drift in Data Stream Learning
          Session Chair: Jean-Charles lamirel
    19:10 Presentations S06207: Tania Cerquitelli and Salvatore Greco, "DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions"
          S06206: Zhaohui Wang, Xiao Lin, Abhinav Mishra, and Ram Sriharsha, "Online Changepoint Detection on a Budget"
          S06201: Tung-Duong Mai, Kien Hoang, Aitolkyn Baigutanova, Gaukhartas Alina, and Sundong Kim, "Customs Fraud Detection in the Presence of Concept Drift"
          S06204: Philipp Scharpf, Chi Lap Hong, and Oliver Duerr, "Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations"
          DM253: Ruoyan Kong, Zhanlong Qiu, Yang Liu, and Qi Zhao, "NimbleLearn: A Scalable and Fast Batch-mode Active Learning Approach"
          DM318: Huiyu Mu, Ruizhi Sun, Gang Yuan, Jiayao Li, and Miao Wang, "Crowd behavior detection in videos using statistical physics"
          Session Chair: Leonardo Minku
    20:55 Closing Remarks  
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  • Workshop 05 - SSTDM: 16th International Workshop on Spatial and Spatiotemporal Data Mining and (WAIN)/SSTDM: 1st Workshop on AI for Nudging and Personalization December 7, 2021  14:00 - 21:00

    SSTDM: 16th International Workshop on Spatial and Spatiotemporal Data Mining


    14:00    		 Opening Remarks  
    14:05 Keynote Speaker: Prof. Alfredo Cuzzocrea
        Title: Scalable Joins over Big Data Streams: Actual and Future Trends
        Session Chair: Dr. Zhe Jiang
    14:35 Presentations DM922: Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, and Rosario Uceda-Sosa, "STONE: Signal Temporal Logic Neural Network for Time Series Classification"
        DM844: Seyed Navid Mohammadi Foumani, Chang Wei Tan, and Mahsa Salehi, "Disjoint-CNN for Multivariate Time Series Classification"
        S13204: Peter Van Hese, Henrique Cabral, Wouter Aerts, and Elena Tsiporkova, "Functional Foot Segmentation Based on Plantar Pressure Measurements for Profiling Subjects Performing a Running Exercise"
        Break Time
    15:31 Keynote Speaker: TBD
        Title: TBD
        Session Chair: Dr. Zhe Jiang
    16:01 Presentations S13205: Michiel Dhont, Elena Tsiporkova, and Nicolas González-Deleito, "Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation"
        S13201: Johanna Baro, and Mostepha Khouadjia, "Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal features"
    15:35 Lunch/Dinner Break Lunch Break

    (WAIN)/SSTDM: 1st Workshop on AI for Nudging and Personalization 

    17:30 Opening Remarks  
    17:35 Keynote Speaker: Dr. Amy Bucher
        Title: The Behavioral Design of Digital Interventions
        Session Chair: Dr. Raju Vatsavai
    18:30 Presentations S13206: Nicklas Sindlev Andersen, Marco Chiarandini , Panagiotis Tampakis, Arthur Zimek, and Stefan Jänicke, "Detecting Wandering Behavior of People with Dementia"
        S22202: Anton Dereventsov, Ranga Raju Vatsavai, and Clayton Webster, "On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks"
        Break time
    19:10 Keynote Speaker: TBD
        Title: TBD
        Session Chair: Dr. Chris Symons
    19:50 Closing Remarks Dr. Raju Vatsavai & Dr. Chris Symons
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  • Workshop 06 - IAAA: International Workshop on Intelligence-Augmented Anomaly Analytics December 7, 2021  14:00 - 21:00
    14:00 Opening Remarks  
    14:10 Keynote I Speaker: Professor Leman Akoglu, Carnegie Mellon University
        Title: Recent Trends in Outlier Mining: Automation and Fairness
        Session Chair: Charu Aggarwal
    14:45 Keynote II Speaker: Professor Christopher Leckie, University of Melbourne
        Title: Anomaly Detection in Hostile Environments
        Session Chair: Leman Akoglu
    15:20 Presentations S19202: Jing Ren, Feng Xia, Yemeng Liu, and Ivan Lee, "Deep Video Anomaly Detection: Opportunities and Challenges"
        S19207: Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, and Wen-Chih Peng, "Early Prediction of Hate Speech Propagation"
        S19211: Zhiyue Wu, Hongzuo Xu, Yijie Wang, and Yongjun Wang, "Surrogate Supervision-Based Deep Weakly-Supervised Anomaly Detection"
        S19212: Yiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiu Fang Ying, Wing Cheong Lau, Dah Ming Chiu, and Shou Zhi Chen, "Temporal Graph Representation Learning for Detecting Anomalies in E-payment Systems "
        Session Chair: Feng Xia
    16:30 Break Networking Break
    17:30 Keynote III Speaker: Professor Longbing Cao, University of Technology Sydney
        Title: Non-IID outlier detection: Learning abnormal couplings, interactions and heterogeneities
        Session Chair: Huan Liu
    18:05 Keynote IV Speaker: Professor Edwin Hancock, University of York
        Title: Entropic characterization of anomalies in financial time series
        Session Chair: Feng Xia
    18:40 Presentations S19216: Chakkrit Termritthikun, Lin Xu, Yemeng Liu, and Ivan Lee, "Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly Detection"
        S19214: Chen Cao, Shihao Li, Shuo Yu, and Zhikui Chen, "Fake Reviewer Group Detection in Online Review Systems"
        S19210: Mingliang Hou, Jing Ren, Falih Febrinanto, Ahsan Shehzad, and Feng Xia, "Cross Network Representation Matching with Outliers"
        S19201: Bernat Coma Puig and Josep Carmona, "A Human-in-the-Loop Approach based on Explainability to Improve NTL Detection"
        S19213: Andreas Lohrer, Jan Deller, Maximilian Hünemörder, and Peer Kröger, "OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data Sets"
        Session Chair: Feng Xia 
    20:05 Closing  
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  • Workshop 07 - UDML: Utility Driven Mining and Learning December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks UDML Organizing Chairs (Vincent S. Tseng, Philip S. Yu, Jerry Chun-Wei Lin, Philippe Forunier-Viger)
    14:05 Keynote Speaker: Tzung-Pei Hong, National University of Kaohsiung, Taiwan
        Title: Duality of Mining Problems
        Session Chair: Vincent S. Tseng
    14:50 Presentations DM368, Md. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam, and Carson Leung, "Mining High Utility Subgraphs"
        S10201, Cedric Kulbach and Steffen Thoma, "Personalized Neural Architecture Search"
        S10213, Uday Kiran Rage, Koji Zettsu, "A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal Databases"
        S10210, Wei Song, Caiyu Fang, and Wensheng Gan, "TopUMS: top-k utility mining in stream data"
        S10211, Mourad Nouioua, Philippe Fournier-Viger, Jun-Feng Qu, Jerry Chun-Wei Lin, Wensheng Gan, and Wei Song, "CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets"
        S10209, Chi-Jen Wu, Wei-Sheng Zeng, and Jan-Ming Ho, "Optimal Segmented Linear Regression for Financial Time Series Segmentation"
        S10202, Jerry Chun-Wei Lin, Youcef Djenouri, Gautam Srivastava, and Jimmy Ming-Tai Wu, "Large-Scale Closed High-Utility Itemset Mining"
        S10203, Yangming Chen, Philippe Fournier-Viger, Farid Nouioua, and Youxi Wu, "Sequence Prediction using Partially-Ordered Episode Rules"
        Session Chair: Philippe Forunier-Viger
    16:20 Closing Session Award and special issue announcement
        Session Chair: Jerry Chun-Wei Lin
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  • Workshop 08 - SFE-TSDM: Systematic Feature Engineering for Time-Series Data Mining December 7, 2021  14:00 - 17:00
    14:00 - 14:05 Opening Remarks  Andreas Kempa-Liehr and Ben Fulcher
    14:05 - 14:50 Keynote Speaker: Yanfei Kang
      Title:  "Feature-based time series forecasting"
        Session Chair: Ben Fulcher 
    14:50 - 15:50 Presentation Session 1 DM489: Shuyan Liu and Yue Chen, "Comparison of Variant Principle Component Analysis Using New RNN-based Framework for Stock Prediction"
        DM508:Xinye Chen and Stefan Güttel, "A fast sorting-based aggregation method for symbolic time series representation"
        S21201:Kang Gu, Soroush Vosoughi, and Temiloluwa Prioleau,"Feature Selection for Multivariate Time Series via Network Pruning"
        S21202:Trent Henderson and Ben Fulcher, "An Empirical Evaluation of Time-Series Feature Sets"
        Session Chair:  Andreas Kempa-Liehr 
    15:50 - 16:50 Presentation Session 2 S21203:Anton Kovantsev, Petr Chunaev, and Klavdiya Bochenina, "Evaluating time series predictability via transition graph analysis"
        S21204:Atharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M Sadykov, and Rafal A. Angryk, "Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods"
        S21206:Scott Simmons, Louis Jarvis, David Dempsey, and Andreas W. Kempa-Liehr, "Data Mining on Extremely Long Time-Series"
        S21207:Ali Hammadeh, Amin Zayani, and Andreas Kempa-Liehr, "Time Series Ordinal Regression for Supporting the Storage of Temperature Sensitive Medication in Domestic Refrigerators"
        Session Chair:  Ben Fulcher 
    16:50 - 17:00 Closing Session  Andreas Kempa-Liehr and Ben Fulcher
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  • Workshop 09 - DLC: Deep Learning and Clustering December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks
    14:05 Presentations S12201: Ioannis Nellas, Sotiris Tasoulis, and Vassilis Plagianakos, "Convolutional Variational Autoencoders for Image Clustering"
        DM677: Wengang Guo, Kaiyan Lin, and Wei Ye,"DeepKmeans: Deep Embedded K-means Clustering"
        S12202: Paul Riverain, Simon Fossier, and Mohamed Nadif, "Model-based Poisson co-clustering for Attributed Networks"
        DM1114: Jun Wang, Hanlei Jin, Jinghua Tan, and Shuo Qi, "Unsupervised graph-clustering learning framework for financial news summarization"
        S12203: Guojing cong and seung-hwan lim, "Versatile feature learning with graph convolutions and graph structures"
        DM1131: Da Sun Handason Tam, Siyue Xie, and Wing Cheong Lau, "Graph Representation Learning with Adaptive Mixtures"
        S12205: Abdoul Wahab Diallo, Ndèye Niang, and Mory Ouattara, "Sparse Subspace K-means"
        DM645: Xingyu Cai, Yuchen Bian, Jiaji Huang, Boxiang Liu, Jiahong Yuan, and Kenneth Church, "SSPF: a Simple and Scalable Parameter Free Clustering Method"
        Session Chair: Lazhar Labiod
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  • Workshop 10 - OEDM: Optimization Based Techniques for Emerging Data Mining Problems December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks  
    14:05 Presentations S18202: Xuchan Ju, Zhenghao Yan, and Tianhe Wang, "Overview of Optimization Algorithms for Large-scale Support Vector Machines"
        S18203: Ludwig Zellner, Janina Sontheim, Florian Richter, Gabriel Lindner, and Thomas Seidl, "SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap Size"
        S18204: Yong Shi, Xiaodong Xue, Yi Qu, Jiayu Xue, and Linzi Zhang, "Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A Survey"
        S18206: Ruijin Jiang and Zhaohui Cheng, "Mixture Gaussian Prototypes for Few-Shot Learning"
        Session Chair: Dr. Fan Meng
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  • Workshop 11 - EDMML: Evolutionary Data Mining and Machine Learning December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks Workshop chairs
      Keynote Speaker: Dr Bach Hoai Nguyen, Evolutionary Computation Research Group, Victoria University of Wellington
        Title: Evolutionary Computation for Feature Reduction
        Session Chair: Ying Bi
    15:10 Presentations DM466 Authors: Kaan Demir, Bach Nguyen, Bing Xue, Mengjie Zhang, "Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification"
        S16201: Harsh Sakhrani, Saloni Parekh, Pratik Ratadiya, "Transformer-based Hierarchical Encoder for Document Classification"
        DM570: Bach Nguyen, Bing Xue, Mengjie Zhang, "Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector"
        DM845: Juan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas, "Instance selection for multi-label learning based on a scalable evolutionary algorithm"
        Session Chair: Ying Bi
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  • Workshop 12 - LITSA: 2nd Workshop on Large-scale Industrial Time Series Analysis December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks/Presentation Session Chair: Florent FOREST
    14:30 Presentations S09202: Yogesh Kulkarni, Sayf Hussain, Krithi Ramamritham, Nivethitha Somu, "EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid"
        DM358: Topon Paul, Sreeharsha Raghavendra, Ken Ueno, Fang Ni, Hiromasa Shin, Kaneharu Nishino, Ryusei Shingaki, "Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine Learning"
        S09201: Susumu Naito, Yasunori Taguchi, Kouta Nakata, Yuichi Kato, "Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder"
        S09204: Sharath M Shankaranarayana, Davor Runje, "Attention Augmented Convolutional Transformer for Tabular Time-series"
        S09205: Patrick Owusu, Armelle Brun, Shengrui Wang, "Towards Dynamic Structure Changes Detection in Financial Series via Causal Analysis"
        Session Chair: Florent FOREST
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  • Workshop 13 - HDM: High Dimensional Data Mining December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks  
    14:05 Presentations S07205: Julian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, and Thomas Seidl, "Implicit Hough Transform Neural Networks for Subspace Clustering"
        DM576: Anna Beer, Lisa Stephan, and Thomas Seidl, "LUCKe- Connecting Clustering and Correlation Clustering"
        S07202: Juergen Prinzbach, Tobias Lauer, and Nicolas Kiefer, "Accelerating Density-Based Subspace Clustering in High-Dimensional Data"
        S07204: Yamonporn Thummanusarn and Ata Kaban, "Random Projection Through the Lens of Data Complexity Indicators"
    DM747: Chris Connell and Yang Wang, "TensorMode Algorithm for Network Embedding in Dynamic Environments"
        S07203: Yash Garg, "ReTriM: Recontructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series"
        S07201: Shuo Liu and Liwen Xu, "Anomaly Detection with Dual Adversarial Training"
        DM340: Jing Yang, Gaojin Fan, Anbo Shen, and Aiguo Wang, "Causal structure learning of nonlinear additive noise model based on streaming feature"
        Session Chair: Ata Kaban
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  • Workshop 14 - DMBIH: Data Mining in Biomedical Informatics and Healthcare December 7, 2021  14:00 - 17:00
    14:00 Opening Remarks  
    14:30 Presentations S08203: Berk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, and Maurice van Keulen, "Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture Patients"
        S08202: Yun Zhao, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, and Linda Petzold, "Empirical Quantitative Analysis of COVID-19 Forecasting"
        DM975: Sathyanarayanan Aakur, Sai Narayanan, Vineela Indla, Vennela Indla, Arunkumar Bagavathi, Akhilesh Ramachandran, and Vishalini Laguduva Ramnath, "Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis"
        Session Chair: Mohammed Siadat, Samah Fodeh 
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  • Workshop 15 - MLLD: Mining and Learning in the Legal Domain December 7, 2021  14:00 - 17:00
    14:00 - 14:10 Opening Remarks  
    14:10 - 15:05 Keynote Speaker: Dr. Sharad Goel, Harvard Kennedy School
        Title: Designing Equitable Algorithms for Criminal Justice and Beyond
        Session Chair: Ali Vahdat
    15:05 - 15:25 Best Paper Award Session Chair: Shohreh Shaghaghian
    15:25 - 16:25 Presentations S11202: Jason Lam, Yuhao Chen, Farhana Zulkernine, and Samuel Dahan, "Detection of Similar Legal Cases on Personal Injury"
        S11204: Corinna Coupette, Jyotsna Singh, and Holger Spamann, "Simplify Your Law: Using Information Theory to Deduplicate Legal Documents"
        S11205: Stavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, and Zac Kriegman, "Legal Entity Extraction using a Pointer Generator Network"
        S11207: Sourav Mukherjee, David Widmark, Vince DiMascio, and Tim Oates, "Determining Standard Occupational Classification Codes from Job Descriptions in Immigration Petitions"
        Session Chair: Fattane Zarrinkalam
    16:25 - 16:30 Closing Remarks  
    16:30 - 17:30 Panel (Pre-recorded) Title: The Future of AI and Law 
        Panelists: Ann Cavoukian, Samuel Dahan, Charles Morgan, 
        Session Chair: Rawia Ashraf
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  • Steering Committee Meeting (by invitation only) December 7, 2021  15:00 - 18:00
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  • Networking (Breakout rooms and speed networking) December 7, 2021  16:30 - 17:30
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  • Workshop 16 - CLEATED: Continual Learning and Adaptation for Time Evolving Data December 7, 2021  17:30 - 20:00
    17:30 Opening Remarks  Chair: Sokar, Ghada
    17:35 Keynote Speaker: Eric Eaton, University of Pennsylvania
    18:05 Presentations Paper ID: DM1194, Filip Guzy, Michal Wozniak, and Bartosz Krawczyk, "Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift"
    18:20 Keynote Speaker: Razvan Pascanu, DeepMind
    18:55 Presentations Paper ID: DM676, Chang How Tan, Vincent CS Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, and Dion Lucke,  "A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection Capability"
    19:10 Keynote Speaker: Vincenzo Lomonaco, University of Pisa
    19:40 Presentations Paper ID: DM697, Jesus L. Lobo, Javier Del Ser, and Eneko Osaba, "Lightweight Alternatives for Hyper-parameter Tuning in Drifting Data Streams"
    19:55 Closing Remarks  
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  • Workshop 17 - SDM: Social Data Mining in the Post-pandemic Era December 7, 2021  17:30 - 20:00
    17:30 Opening Remarks  
    17:35 Keynote Speaker: Cécile Paris, CSIRO’s Data61
        Title: Social Media and a pandemic
        Session Chair: Shuntaro Yada
    18:35 Break  
    18:45 Presentations S17204: Sudha Tushara Sadasivuni and Zhang Yanqing, "Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-Factors"
        S17208: Jiangshu Du, Yingtong Dou, Congying Xia, Limeng Cui, Jing M, and Philip Yu, "Cross-lingual COVID-19 Fake News Detection"
        DM821: Zachary Yang Anne Imouza, Kellin Pelrine, Sacha Lévy , Jiewen Liu, Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais, and Reihaneh Rabbany, "Online Partisan Polarization of COVID-19"
        S17207: Nidhi Mulay, Vikas Bishnoi, Yatin Katyal, Mohsen Bahrami, Esteban Moro, Ankur Saraswat, and Alex Pentland, "Effects of stimulus checks on spending patterns of different economic groups"
        S17203: Taisei Ninomiya, Fujio Toriumi, Hiroka Zaitsu, and Yusuke Miyake, "Analysis of User Behavior in a C2C Platform during COVID-19 Pandemic"
        S17201: Kenta Suzuki, Siriaraya Panote, Wan Jou She, Ryotaro Tanaka, Da Li, and Shinsuke Nakajima, "HappyRec: Evaluation of a “Happy Spot” Recommendation System Aimed at Improving Mental Well-Being"
        S17202: Da Li, Shiho Ishitsubo, Katsuyuki Yamauchi, Siriaraya Panote, Shinsuke Nakajima, and Yukiko Kawai, "A Sentiment-aware Delightful Walking Route Recommendation System Considering the Scenery and Season"
        S17206: Haridimos Kondylakis, Angelina Kouroubali, and Dimitrios Katehakis, "Patient Preferences: An Unexplored Area in the Post-Pandemic Era"
        Session Chairs: Christophe Claramunt and Shoko Wakamiya 
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  • Workshop 18 - DMC: Data Mining and Machine Learning in Cybersecurity December 7, 2021  17:30 - 20:00
    17:30 Opening Remarks  
    17:35 Keynote Speaker: Giovanni Russello, The University of Auckland
        Title: Human Centred Cyber Security
        Speaker: Ryan Ko, The University of Queensland
        Title: Data Provenance and Cybersecurity – Research Challenges and Opportunities
        Speaker: Xuyun (Sean) Zhang, Macquarie University
        Title (tentative): Recent Advances and Challenges in Membership Inference Attacks on Machine Learning
        Session Chair: Ranran (Monica) Bian
    18:40 Presentations S15201: Fares Meghdouri, Felix Iglesias Vazquez, and Tanja Zseby, "Shedding Light in the Tunnel: Counting Flows in Encrypted Network Traffic"
        S15202: Utkarsh Raghav, Elisa Martinez-Marroquin, and Wanli Ma, "Static Analysis for Android Malware detection with Document Vectors"
        DM763: Christina Ting, Nicholas Johnson, Uzoma Onunkwo, and James Derek Tucker, "Faster Classification Using Compression Analytics"
        DM1119: Xucan Chen, Wei Cheng, Marie Ouellet, Yuan Li, David Maimon, and Yubao Wu, "Identifying Darknet Vendor Wallets by Matching Feedback Reviews with Bitcoin Transactions"
        Session Chair: Sagar Samtani
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December 8, 2021
  • Opening Ceremony December 8, 2021  14:00 - 15:00
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  • Keynote: Towards Robust Machine Learning: Weak Supervision, Noisy Labels, and Beyond December 8, 2021  15:00 - 16:00

    Speaker: Prof Masashi Sugiyama. Session Chair: Prof Dacheng Tao

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  • Session 1A: Data Mining Foundations and Frontiers (Stream A) December 8, 2021  16:00 - 17:30

    Session Chair: Sumeet Katariya

    16:00 DM455 Highly Scalable and Provably Accurate Classification in Poincaré Balls Eli Chien, Chao Pan, Puoya Tabaghi, and Olgica Milenkovic
    16:17 DM942 Deep Incremental RNN for Learning Sequential Data: A Lyapunov Stable Dynamical System Ziming Zhang, Guojun Wu, Yun Yue, Yanhua Li, and Xun Zhou
    16:34 DM1055 Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective Jie Huang, Liu Qi, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Chen Enhong, Yu Su, and Shijin Wang
    16:51 DM632 Isolation Kernel Density Estimation Kai Ming Ting, Takashi Washio, Jonathan Wells, and Hang Zhang
    17:08 DM947 FGC-Stream: A novel joint miner for frequent generators and closed itemsets in data streams Louis-Romain Roux, Tomas Martin, and Petko Valtchev
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  • Session 1B: Graph Mining and Learning (Stream B) December 8, 2021  16:00 - 17:30

    Session Chair: Nikhil Rao

    16:00 DM462 Graph Transfer Learning Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer Dy, and Stratis Ioannidis
    16:17 DM752 A Regularized Wasserstein Framework for Graph Kernels Asiri Wijesinghe, Qing Wang, and Stephen Gould
    16:34 DM943 THyMe+: Temporal Hypergraph Motifs and Fast Algorithms for Exact Counting Geon Lee and Kijung Shin
    16:51 DM818 An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, and Huaming Wu
    17:03 DM825 Graph Neighborhood Routing and Random Walk for Session-based Recommendation Zizhuo Zhang and Bang Wang
    17:15 DM390 Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, and Yanjie Fu
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  • Session 1C: Sequences and Time Series 1 (Stream C) December 8, 2021  16:00 - 17:30

    Session Chair: Qiangqiang Yuan

    16:00 DM886 Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, and Gautam Shroff
    16:17 DM758 Towards Generating Real-World Time Series Data Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, and Dongsheng Li
    16:34 DM979 Multi-way Time Series Join on Multi-length Patterns Md Parvez Mollah, Vinicius M. A. Souza, and Abdullah Mueen
    16:51 DM399 LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, and Zhi-Hua Zhou
    17:03 DM396 MERITS: Medication Recommendation for Chronic Disease with Irregular Time-Series Shuai Zhang, Jianxin Li, Haoyi Zhou, Qishan Zhu, Shanghang Zhang, and Danding Wang
    17:15 DM1003 PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series Futoon M. Abushaqra, Hao Xue, Yongli Ren, and Flora D. Salim
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  • Session 1D: Text 1 (Stream D) December 8, 2021  16:00 - 17:30

    Session Chair: Andrew Lensen


    16:00    		 DM813 STAN: Adversarial Network for Cross-domain Question Difficulty Prediction Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, and Shijin Wang
    16:17 DM848 Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, and Yuanchun Zhou
    16:34 DM921 Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections Robert Churchill and Lisa Singh
    16:51 DM304 BioHanBERT: A Hanzi-aware Pre-trained Language Model for Chinese Biomedical Text Mining Xiaosu Wang, Yun Xiong, Hao Niu, Jingwen Yue, Yangyong Zhu, and Philip S. Yu
    17:03 DM450 Aspect-based Sentiment Classification via Reinforcement Learning Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, and Yun Fu
    17:15 DM786 Compressibility of Distributed Document Representations Blaž Škrlj and Matej Petković
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  • Session 1E: Traffic Forecasting (Stream E) December 8, 2021  16:00 - 17:30

    Session Chair: Raju Vatsavai

    16:00 DM1205 Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting Song Yang, Jiamou Liu, and Kaiqi Zhao
    16:17 DM294 Trajectory WaveNet: A Trajectory-Based Model for Traffic Forecasting Bo Hui, Da Yan, Haiquan Chen, and Wei-Shinn Ku
    16:29 DM545 Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, and Junyu Dong
    16:41 DM889 Exploring Reflective Limitation of Behavior Cloning in Autonomous Vehicles Mohammad Nazeri and Mahdi Bohlouli
    16:53 DM1023 DhakaNet: Unstructured Vehicle Detection using Limited Computational Resources Tarik Reza Toha, Masfiqur Rahaman, Saiful Islam Salim, Mainul Hossain, Arif Mohaimin Sadri, and A. B. M. Alim Al Islam
    17:05 DM543 $C^3$-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks Yingxue Zhang, Yanhua Li, Xun Zhou, Zhenming Liu, and Jun Luo
    17:17 DM611 TEST-GCN: Topologically Enhanced Spatial-Temporal Graph Convolutional Networks for Traffic Forecasting Muhammad Afif Ali, Suriyanarayanan Venkatesan, Victor Liang, and Hannes Kruppa
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  • Tutorial 01: Wikimedia Visual Resources and its Application to Neural Visual Recommender Systems December 8, 2021  16:00 - 18:30

    Organisers: Denis Parra, Antonio Ossa-Guerra, Manuel Cartagena, Patricio Cerda-Mardini, Felipe del Rio, Isidora Palma, Diego Saez-Trumper, and Miriam Redi

    Session 1: Introduction to Visual RecSys, datasets and feature extraction with CNNS in Python. Wikimedia Foundation and its available research resources. Denis Parra & Diego Saez-Trumper 30 mins
    Session 2: Pipeline for training and testing visual RecSys in Python. Antonio Ossa-Guerra 20 mins
    BREAK - 10 mins
    Session 3: Visual Bayesian Personalized Ranking (VBPR) and Deep Visually-aware Bayesian Personalized Ranking (DVBPR) in Pytorch [2, 3] Patricio Cerda-Mardini 25 mins
    Session 4: CuratorNet in Pytorch [1] Manuel Cartagena 20 mins
    Session 5: Attentive Collaborative Filtering (ACF) in Pytorch [4] Felipe del Río 20 mins
    Live demo of this repository Isidora Palma 15 mins
    Conclusions Denis Parra 10 mins
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  • Tutorial 02: Complement, Composite and Context: The 3C-Law to Build Multidomain Recommender Systems December 8, 2021  16:00 - 18:30

    Organisers: Liang Hu, Shoujin Wang, Qi Zhang, Dora D. Liu, and Longbing Cao.

    Overview of recommender systems and machine learning 
    Data representation in recommender systems with machine learning 
    Cross-domain recommender systems with Complementary information 
    BREAK
    Cross-domain recommender systems with Comprehensive information
    Cross-domain recommender systems with Contextual information 
    Cross-domain recommender systems in real applications
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  • Networking (Breakout rooms and speed networking) December 8, 2021  17:30 - 18:00
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  • Session 2A: Clustering (Stream A) December 8, 2021  18:00 - 19:30

    Session Chair: Jean-Charles Lamirel

    18:00 DM441 Triplet Deep Subspace Clustering via Self-Supervised Data Augmentation Zhao Zhang, Xianzhen Li, Haijun Zhang, Yi Yang, Shuicheng Yan, and Meng Wang
    18:17 DM640 Outlier-Robust Multi-View Subspace Clustering with Prior Constraints Mehrnaz Najafi, Lifang He, and Philip S. Yu
    18:34 DM801 DCF: An Efficient and Robust Density-Based Clustering Method Joshua Tobin and Mimi Zhang
    18:51 DM330 K-means for Evolving Data Streams Arkaitz Bidaurrazaga Barrueta, Aritz Perez, and Marco Capo
    19:03 DM437 Density-Based Clustering for Adaptive Density Variation Li Qian, Claudia Plant, and Christian Böhm
    19:15 DM829 Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation Yuting He, Rongjun Ge, Jiasong Wu, Jean-Louis Coatrieux, Huazhong Shu, Yang Chen, Guanyu Yang, and Shuo Li
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  • Session 2B: Algorithmic Methods (Stream B) December 8, 2021  18:00 - 19:30

    Session Chair: Abubakar Siddique


    18:00    		 DM883 USTEP: Unfixed Search Tree for Efficient Log Parsing Arthur Vervaet, Raja Chiky, and Mar Callau-Zori
    18:17 DM505 Differentially Private String Sanitization for Frequency-Based Mining Tasks Huiping Chen, Changyu Dong, Liyue Fan, Grigorios Loukides, Solon Pissis, and Leen Stougie
    18:34 DM936 Gated Information Bottleneck for Generalization in Sequential Environments Francesco Alesiani, Shujian Yu, and Xi Yu
    18:51 DM1167 Source Inference Attacks in Federated Learning Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, and Xuyun Zhang
    19:03 DM601 A general framework for mining concept-drifting data streams with evolvable features Jiaqi Peng, Jinxia Guo, Qinli Yang, Jianyun Lu, and Junming Shao
    19:15 DM1183 Robust BiPoly-Matching for Multi-Granular Entities Ween Jiann Lee, Maksim Tkachenko, and Hady Lauw
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  • Session 2C: Sequences and Time Series 2 (Stream C) December 8, 2021  18:00 - 19:30

    Session Chair: Dongjin Song


    18:00    		 DM374 Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, and Bin Wang
    18:17 DM719 Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, and Chen Li
    18:34 DM938 CASPITA: Mining Statistically Significant Paths in Time Series Data from an Unknown Network Andrea Tonon and Fabio Vandin
    18:51 DM343 Matrix Profile XXIII: Contrast Profile: A Novel Time Series Primitive that Allows Real World Classification Ryan Mercer, Sara Alaee, Alireza Abdoli, Shailendra Singh, Amy Murillo, and Eamonn Keogh
    19:03 DM247 LOGIC: Probabilistic Machine Learning for Time Series Classification Fabian Berns, Jan Huewel, and Christian Beecks
    19:15 DM875 SMATE: Semi-Supervised Spatio-Temporal Representation Learning on Multivariate Time Series Jingwei Zuo, Karine Zeitouni, and Yehia Taher
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  • Session 2D: Text 2 (Stream D) December 8, 2021  18:00 - 19:30

    Session Chair: Luca Cagliero

    18:00 DM706 Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior Gaël Poux-Médard, Julien Velcin, and Sabine Loudcher
    18:17 DM959 Semi-Supervised Graph Attention Networks for Event Representation Learning João Pedro Rodrigues Mattos and Ricardo Marcacini
    18:29 DM1015 Learning Dynamic User Interactions for Online Forum Commenting Prediction Wu-Jiu Sun, Xiao Fan Liu, and Fei Shen
    18:41 DM1105 Topic-Attentive Encoder-Decoder with Pre-Trained Language Model for Keyphrase Generation Cangqi Zhou, Jinling Shang, Jing Zhang, Qianmu Li, and Dianming Hu
    18:53 DM1125 TCube: Domain-Agnostic Neural Time-series Narration Mandar Sharma, John Brownstein, and Naren Ramakrishnan
    19:05 DM964 Learning Personal Human Biases and Representations for Subjective Tasks in Natural Language Processing Jan Kocoń, Marcin Gruza, Julita Bielaniewicz, Damian Grimling, Kamil Kanclerz, Piotr Miłkowski, and Przemysław Kazienko
    19:17 DM869 Out-of-Category Document Identification Using Target-Category Names as Weak Supervision Dongha Lee, Dongmin Hyun, Jiawei Han, and Hwanjo Yu
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  • Session 2E: Applications (Stream E) December 8, 2021  18:00 - 19:30

    Session Chair: Olivera Kotevska

    18:00 DM972 Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, and Yanjie Fu
    18:17 DM1027 Conversion Prediction with Delayed Feedback: A Multi-task Learning Approach Yilin Hou, Guangming Zhao, Chuanren Liu, Zhonglin Zu, and Xiaoqiang Zhu
    18:34 DM1162 Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network Liu Huijie, Wu Han, Zhang Le, Yu Runlong, Liu Ye, Liu Qi, and Chen Enhong
    18:51 DM776 Federated Principal Component Analysis for Genome-Wide Association Studies Anne Hartebrodt, Reza Nasirigerdeh, David B. Blumenthal, and Richard Röttger
    19:03 DM290 PaGAN: Generative Adversarial Network for Patent understanding Guillaume Guarino, Ahmed Samet, Amir Nafi, and Denis Cavallucci
    19:15 DM1049 Addressing Exposure Bias in Uplift Modeling for Large-scale Online Advertising Wenwei Ke, Chuanren Liu, Xiangfu Shi, Yiqiao Dai, Philip Yu, and Xiaoqiang Zhu
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  • Tutorial 03: Roles in Networks - Foundations, Methods and Applications December 8, 2021  18:30 - 21:00

    Organisers: Yulong Pei, Pengfei Jiao, Akrati Saxena, Xuan Guo, George Fletcher, Mykola Pechenizkiy

    Introduction
    - Overview of role analytics in networks
    - Relation between roles and communities    		 15 mins
    Preliminaries
    - Basic concepts of role equivalences
    - Different taxonomies of role analytic methods    		 20mins
     Taxonomy of Role Analytic Methods
    - Equivalence-based methods
    - Similarity-based methods
    - Blockmodel-based methods
    - Feature-based methods
    - Embedding-based methods    		 25 mins
    Role-oriented Embedding Methods
    - Low-rank matrix factorization methods
    - Random walk based methods
    - Deep learning methods    		 30 mins
    Role-based Applications
    - Social role detection
    - Role-enhanced Community Detection
    - Network dynamics analysis
    - Role-oriented Graph Neural Networks    		 25 mins
    Challenges and Future Directions
    - Interpretable roles analytics
    - Role analytics in different types of networks
    - Evaluation on role discovery
    - Joint role and community Detection
    - Role representation in non-Euclidean space
    - Construction of larger-scale benchmarks    		 20 mins
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  • Networking (Breakout rooms and speed networking) December 8, 2021  19:30 - 20:00
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  • Job Matching Networking Session December 8, 2021  20:00 - 21:00
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December 9, 2021
  • Keynote: Sample Efficient AI with Applications in Health Care and Advanced Manufacturing December 9, 2021  14:00 - 15:00

    Speaker: Prof Svetha Venkatesh. Session Chair: James Bailey

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  • Networking December 9, 2021  15:00 - 15:30
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  • Session 3A: Graph Learning (Stream A) December 9, 2021  15:30 - 17:00

    Session Chair: Djellel Difallah

    15:30 DM540 GraphANGEL: Adaptive and Structure-Aware Sampling on Graph Neural Networks Jingshu Peng, Yanyan Shen, and Lei Chen
    15:47 DM629 Deep Generation of Heterogeneous Networks Chen Ling, Carl Yang, and Liang Zhao
    16:04 DM1155 Fast Attributed Graph Embedding via Density of States Saurabh Sawlani, Lingxiao Zhao, and Leman Akoglu
    16:21 DM509 Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications BANG WU, Xiangwen Yang, Shirui Pan, and Xingliang Yuan
    16:33 DM577 Bi-Level Attention Graph Neural Networks Roshni Iyer, Wei Wang, and Yizhou Sun
    16:45 DM473 A new multiple instance algorithm using structural information Xiaoyan Zhu, Ting Wang, Jiayin Wang, Ying Xu, and Yuqian Liu
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  • Session 3B: Fairness and Interpretability (Stream B) December 9, 2021  15:30 - 17:00

    Session Chair: Ludovico Boratto

    15:30 DM988 Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning Thai-Hoang Pham, Changchang Yin, Laxmi Mehta, Xueru Zhang, and Ping Zhang
    15:47 DM559 Multi-objective Explanations of GNN Predictions Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, and Sihong Xie
    16:04 DM915 Precise Bayes Classifier: Summary of Results Amin Vahedian and Xun Zhou
    16:21 DM798 Predictive Modeling of Clinical Events with Mutual Enhancement Between Longitudinal Patient Records and Medical Knowledge Graph Xiao Xu, Xian Xu, Yuyao Sun, Xiaoshuang Liu, Xiang Li, Guotong Xie, and Fei Wang
    16:38 DM710 Unified Fairness from Data to Learning Algorithm Yanfu Zhang, Lei Luo, and Heng Huang
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  • Session 3C: Sequences and Time Series 3 (Stream C) December 9, 2021  15:30 - 17:00

    Session Chair: Senzhang Wang

    15:30 DM1002 Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheoyon Jhin, Heejoo Shin, Seoyoung Hong, Solhee Park, and Noseong Park
    15:47 DM1006 SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin, Irena Koprinska, and Mashud Rana
    16:04 DM1104 Ultra fast warping window optimization for Dynamic Time Warping Chang Wei Tan, Matthieu Herrmann, and Geoffrey I. Webb
    16:21 DM475 STING: Self-attention based Time-series Imputation Networks using GAN Eunkyu Oh, Taehun Kim, Yunhu Ji, and Sushil Khyalia
    16:33 DM408 Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series Makoto Imamura and Takaaki Nakamura
    16:45 DM656 Streaming Dynamic Graph Neural Networks for Continuous-Time Temporal Graph Modeling Sheng Tian, Tao Xiong, and Leilei Shi
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  • Session 3D: Deep Learning 1 (Stream D) December 9, 2021  15:30 - 17:00

    Session Chair: Tongliang Liu

    15:30 DM286 Physics Interpretable Shallow-Deep Neural Networks for Physical System Identification with Unobservability Jingyi Yuan and Yang Weng
    15:47 DM363 BaT: a Beat-aligned Transformer for Electrocardiogram Classification Xiaoyu Li, Chen Li, Yuhua Wei, Yuyao Sun, Jishang Wei, Xiang Li, and Buyue Qian
    16:04 DM424 Robustifying DARTS by Eliminating Information Bypass Leakage via Explicit Sparse Regularization Jiuling Zhang and Zhiming Ding
    16:21 DM385 Operation-level Progressive Differentiable Architecture Search Xunyu Zhu, Jian Li, Yong Liu, and Weiping Wang
    16:33 DM487 Improving Deep Forest by Exploiting High-order Interactions Yi-He Chen, Shen-Huan Lyu, and Yuan Jiang
    16:45 DM976 Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone Hui Guan, Umang Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, and Xipeng Shen
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  • Session 3E: Biological and Physical Systems (Stream E) December 9, 2021  15:30 - 17:00

    Session Chair: Guanqun Zhou
     

    15:30 DM628 Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, and Jordan Read
    15:47 DM603 Partial Differential Equation Driven Dynamic Graph Networks for Predicting Stream Water Temperature Tianshu Bao, Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, and Taylor Johnson
    16:04 DM986 Climate Modeling with Neural Diffusion Equations Hwangyong Choi, Jeongwhan Choi, Jeehyun Hwang, and Noseong Park
    16:21 DM521 Pest-YOLO: Deep Image Mining and Multi-Feature Fusion for Real-Time Agriculture Pest Detection Zhe Tang, Zhengyun Chen, Fang Qi, Lingyan Zhang, and Shuhong Chen
    16:33 DM743 DIVINIA: Rare Object Localization and Search in Overhead Imagery Jonathan Amazon, Khurram Shafique, Zeeshan Rasheed, and Aaron Reite
    16:45 DM261 Exploring the Long Short-Term Dependencies to Infer Shot Influence in Badminton Matches Wei-Yao Wang, Teng-Fong Chan, Hui-Kuo Yang, Chih-Chuan Wang, Yao-Chung Fan, and Wen-Chih Peng
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  • Session 3F: Representation Learning (Stream F) December 9, 2021  15:30 - 17:00

    Session Chair: Olivera Kotevska
     

    15:30 DM828 Efficient Reinforced Feature Selection via Early Stopping Traverse Strategy Kunpeng Liu, Dongjie Wang, Pengfei Wang, Wan Du, Dapeng Oliver Wu, and Yanjie Fu
    15:47 DM760 PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks Jing Wen, Bi-Yi Chen, Chang-Dong Wang, and Zhihong Tian
    16:04 DM616 Robust Low-rank Deep Feature Recovery in CNNs: Toward Low Information Loss and Fast Convergence Jiahuan Ren, Zhao Zhang, Jicong Fan, Haijun Zhang, Mingliang Xu, and Meng Wang
    16:21 DM463 A Lookahead Algorithm for Robust Subspace Recovery Guihong Wan and Haim Schweitzer
    16:33 DM556 Constrained Non-Affine Alignment of Embeddings Yuwei Wang, Yan Zheng, Yanqing Peng, Michael Yeh, Zhongfang Zhuang, Das Mahashweta, Bendre Mangesh, Feifei Li, Wei Zhang, and Jeff Phillips
    16:45 DM695 Jointly Multi-Similarity Loss for Deep Metric Learning Li Zhang, Shitian Shen, Lingxiao Li, and Han Wang
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  • Tutorial 04: Automated Taxonomy Discovery and Exploration December 9, 2021  15:30 - 20:30

    Organiser: Jiaming Shen, Xiaotao Gu, Yu Meng, Jiawei Han.

    Introduction  30mins
    Phrase Mining  45mins
    BREAK 20 mins
    Taxonomy Construction 45mins
    Taxonomy Enrichment 45 mins
    Taxonomy Empowered Applications  45mins
    BREAK 20 mins
    Summary and Future Directions 30 mins
    Question Answering and Discussions  20 mins
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  • Networking (Breakout rooms and speed networking) December 9, 2021  17:00 - 17:30
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  • Session 4A: Networks (Stream A) December 9, 2021  17:30 - 19:00

    Session Chair: Dongjin Song

    17:30 DM987 Hypergraph Ego-networks and Their Temporal Evolution Cazamere Comrie and Jon Kleinberg
    17:47 DM872 Risk-aware Temporal Cascade Reconstruction to Detect Asymptomatic Cases Hankyu Jang, Shreyas Pai, Bijaya Adhikari, and Sriram Pemmaraju
    18:04 DM619 Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains Dhruv Sahnan, Snehil Dahiya, Vasu Goel, Anil Bandhakavi, and Tanmoy Chakraborty
    18:21 DM650 Adaptive Spatio-Temporal Convolutional Network for Traffic Prediction Mingyang Zhang, Yong Li, Funing Sun, Diansheng Guo, and Pan Hui
    18:33 DM634 Generating Structural Node Representations via Higher-order Features and Adversarial Learning Wang Zhang, Xuan Guo, Ting Pan, Lin Pan, Pengfei Jiao, and Wenjun Wang
    18:45 DM625 Heterogeneous Stream-reservoir Graph Networks with Data Assimilation Shengyu Chen, Alison Appling, Samanth Oliver, Hayley Corson-Dosch, Jordan Read, Jeffrey Sadler, Jacob Zwart, and Xiaowei Jia
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  • Session 4B: Causality and Fairness (Stream B) December 9, 2021  17:30 - 19:00

    Session Chair: Chuanren Liu

    17:30 DM663 Nonlinear Causal Structure Learning for Mixed Data Wenjuan Wei and Lu Feng
    17:47 DM762 A Robust Algorithm to Unifying Offline Causal Inference and Online Multi-armed Bandit Learning Qiao Tang and Hong Xie
    18:04 DM1067 Fair Decision-making Under Uncertainty Wenbin Zhang and Jeremy Weiss
    18:21 DM520 Joint Scence Network and Attention-Guided for Image Captioning Dongming Zhou and Jing Yang
    18:33 DM792 Promoting Fairness through Hyperparameter Optimization André Cruz, Pedro Saleiro, Catarina Belém, Carlos Soares, and Pedro Bizarro
    18:45 DM934 Causal Discovery with Flow-based Conditional Density Estimation Shaogang Ren, Haiyan Yin, Mingming Sun, and Ping Li
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  • Session 4C: Theory and Optimization (Stream C) December 9, 2021  17:30 - 19:00

    Session Chair: Pauli Miettinen

    17:30 DM452 LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time Ido Hakimi, Rotem Zamir Aviv, Kfir Yehuda Levy, and Assaf Schuster
    17:47 DM1168 A Linear Primal-Dual Multi-Instance SVM for Big Data Classifications Lodewijk Brand, Lauren Baker, Carla Ellefsen, Jackson Sargent, and Hua Wang
    18:04 DM881 Fast computation of distance-generalized cores using sampling Nikolaj Tatti
    18:21 DM447 Limited-memory Common-directions Method With Subsampled Newton Directions for Large-scale Linear Classification Jui-Nan Yen and Chih-Jen Lin
    18:33 DM465 Online Testing of Subgroup Treatment Effects Based on Value Difference Miao Yu, Wenbin Lu, and Rui Song
    18:45 DM815 Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte and Josif Grabocka
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  • Session 4D: Deep Learning 2 (Stream D) December 9, 2021  17:30 - 19:00

    Session Chair: Chang Xu

    17:30 DM995 Global Convolutional Neural Processes Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, and Sen Wang
    17:47 DM1148 GANBLR: A Tabular Data Generation Model Yishuo Zhang, Nayyar Zaidi, Jiahui Zhou, and Gang Li
    18:04 DM1031 Temporal Clustering with External Memory Network for Disease Progression Modeling Zicong Zhang, Changchang Yin, and Ping Zhang
    18:21 DM940 PhyFlow: Physics-Guided Deep Learning for Generating Interpretable 3D Flow Fields Nikhil Muralidhar, Jie Bu, Ze Cao, Neil Raj, Long He, Naren Ramakrishnan, Danesh Tafti, and Anuj Karpatne
    18:33 DM971 PSANet - Subspace attention for personalized compatibility Meet Taraviya, Anurag Beniwal, Yen-Liang Lin, and Larry Davis
    18:45 DM878 Adversarial Regularized Reconstruction for Anomaly Detection and Generation Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, and Ettore Ritacco
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  • Session 4E: Bandits and Online Methods (Stream E) December 9, 2021  17:30 - 19:00

    Session Chair: Mingming Gong

    17:30 DM673 Cutting to the Chase with Warm-Start Contextual Bandits Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, and Benjamin I. P. Rubinstein
    17:47 DM911 Online Learning in Variable Feature Spaces with Mixed Data Yi He, Jiaxian Dong, Bo-Jian Hou, Yu Wang, and Fei Wang
    18:04 DM1082 AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, and Xiwang Yang
    18:21 DM486 Attention-based Feature Interaction for Efficient Online Knowledge Distillation Tongtong Su, Qiyu Liang, Jinsong Zhang, Zhaoyang Yu, Gang Wang, and Xiaoguang Liu
    18:38 DM360 Dictionary Pair-based Data-Free Fast Deep Neural Network Compression Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yang Yi, and Meng Wang
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  • Session 4F: Meta Learning (Stream F) December 9, 2021  17:30 - 19:00

    Session Chair: Qing Liao

    17:30 DM1208 Learning to Reweight Samples with Offline Loss Sequence Yuhua Wei, Chen Li, Xiaoyu Li, Jishang Wei, and Buyue Qian
    17:47 DM661 Few-Shot Partial Multi-Label Learning Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Carlotta Domeniconi, and Lizhen Cui
    18:04 DM769 TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection Noy Cohen-Shapira and Lior Rokach
    18:21 DM837 MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, and Liming Zhu
    18:38 DM571 DAC-ML: Domain Adaptable Continuous Meta-Learning for Urban Dynamics Prediction Xin Zhang, Yanhua Li, Xun Zhou, Oren Mangoubi, Ziming Zhang, Vincent Filardi, and Jun Luo
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  • Networking (Breakout rooms and speed networking) December 9, 2021  19:00 - 19:30
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  • Panel Discussion: Data Mining with Far Fewer Labels: Pretraining, Knowledge and Unsupervised Learning December 9, 2021  19:30 - 20:30

    Moderator: Michael Witbrock 
    Panel: Min Zhang, Lina Yao, Kevin Knight, Bowen Zhou, Imed Zitouni

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December 10, 2021
  • Keynote: Towards Trustworthy Data Science: Interpretability, Fairness and Marketplaces December 10, 2021  14:00 - 15:00

    Speaker: Prof Jian Pei. Session Chair: Pauli Miettinen

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  • Networking December 10, 2021  15:00 - 15:30
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  • Session 5A: Crowdsourcing (Stream A) December 10, 2021  15:30 - 17:00

    Session Chair: Sihong Xie

    15:30 DM535 Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, and Qi Li
    15:47 DM1069 Crowdsourcing with Self-paced Workers Xiangping Kang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Wei Guo, Yazhou Ren, and Lizhen Cui
    16:04 DM1197 Preference-aware Group Task Assignment in Spatial Crowdsourcing: A Mutual Information-based Approach Yunchuan Li, Yan Zhao, and Kai Zheng
    16:21 DM994 Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services Yasas Senarath, Ayan Mukhopadhyay, Sayyed Mohsen Vazirizade, Hemant Purohit, Saideep Nannapaneni, and Abhishek Dubey
    16:33 DM1007 Detecting Adversaries in Crowdsourcing Panagiotis Traganitis and Georgios B. Giannakis
    16:45 DM1179 Zero-shot Key Information Extraction from Mixed-Style Tables: Pre-training on Wikipedia Qingping Yang, Yingpeng Hu, Rongyu Cao, Hongwei Li, and Ping Luo
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  • Session 5B: Explainability (Stream B) December 10, 2021  15:30 - 17:00

    Session Chair: Mario Alfonso Prado Romero

    15:30 DM847 GNES: Learning to Explain Graph Neural Networks Yuyang Gao, Tong Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Hong, and Liang Zhao
    15:37 DM291 Generating Explanations for Recommendation Systems via Injective VAE ZeRui Cai and ZeFeng Cai
    15:49 DM457 An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data Marcelo Maia, Alexandre Plastino, and Alex Freitas
    16:01 DM459 Self-learn to Explain Siamese Networks Robustly Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, and Sihong Xie
    16:13 DM624 Alternative Ruleset Discovery to Support Black-box Model Predictions Yoichi Sasaki and Yuzuru Okajima
    16:25 DM950 A Multi-view Confidence-calibrated Framework for Fair and Stable Graph Representation Learning Xu Zhang, Liang Zhang, Bo Jin, and Xinjiang Lu
    16:37 DM1099 GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs Yucai Fan, Yuhang Yao, and Carlee Joe-Wong
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  • Session 5C: Graph Neural Networks 1 (Stream C) December 10, 2021  15:30 - 17:00

    Session Chair: Shuxiang Zhang

    15:30 DM1000 FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, and Michael Sheng
    15:47 DM435 Accurate Graph-Based PU Learning without Class Prior Jaemin Yoo, Junghun Kim, Hoyoung Yoon, Geonsoo Kim, Changwon Jang, and U Kang
    16:04 DM484 AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, and Jiawei Han
    16:21 DM214 Dynamic Attributed Graph Prediction with Conditional Normalizing Flows Daheng Wang, Tong Zhao, Nitesh Chawla, and Meng Jiang
    16:33 DM1113 AdaBoosting Clusters on Graph Neural Networks Li Zheng, Jun Gao, Zhao Li, and Ji Zhang
    16:45 DM1150 Heterogeneous Graph Neural Architecture Search Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Hong Yang, Yongchao Liu, and Yue Hu
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  • Session 5D: Statisticial Techniques (Stream D) December 10, 2021  15:30 - 17:00

    Session Chair: Guanqun Zhou

    15:30 DM904 Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models Lu Wang, Mark Chignell, and Yan Li
    15:47 DM1200 Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence Wennan Chang, Pengtao Dang, Changlin Wan, Xiaoyu Lu, Yue Fang, Tong Zhao, Yong Zang, Bo Li, Chi Zhang, and Sha Cao
    16:04 DM461 A Statistically-Guided Deep Network Transformation and Moderation Framework for Data with Spatial Heterogeneity Yiqun Xie, Erhu He, Xiaowei Jia, Han Bao, Xun Zhou, Rahul Ghosh, and Praveen Ravirathinam
    16:21 DM802 Accurately Quantifying under Score Variability André Maletzke, Denis dos Reis, Waqar Hassan, and Gustavo Batista
    16:33 DM423 Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift Benjamin Denham, Edmund Lai, Roopak Sinha, and M. Asif Naeem
    16:45 DM380 Boosting Deep Ensemble Performance with Hierarchical Pruning Yanzhao Wu and Ling Liu
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  • Session 5E: Clinical Data Analysis (Stream E) December 10, 2021  15:30 - 17:00

    Session Chair: Matthew Skiffington

    15:30 DM580 Sequential Diagnosis Prediction with Transformer and Ontological Representation Xueping Peng, Guodong Long, Tao Shen, Sen Wang, and Jing Jiang
    15:47 DM757 Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records Shuai Niu, Qing Yin, Yunya SONG, Yike GUO, and Xian Yang
    16:04 DM817 SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records Chengxi Zang and Fei Wang
    16:21 DM588 SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin Rousseau, Yifan Peng, and Ying Ding
    16:33 DM956 ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, and Heung-Il Suk
    16:45 DM1103 Multi Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features Qiao Pan, Ke Ding, and Dehua Chen
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  • Session 5F: Reinforcement Learning (Stream F) December 10, 2021  15:30 - 17:00

    Session Chair: Yanjie Fu

    15:30 DM1032 ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network Xingcheng Fu, Jianxin Li, Qingyun Sun, Cheng Ji, Jia Wu, Hao Peng, Senzhang Wang, Jiajun Tan, and Philip S. Yu
    15:47 DM851 Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval Dingrong Wang, Hitesh Sapkota, Xumin Liu, and Qi Yu
    16:04 DM999 Impression Allocation and Policy Search in Display Advertising di wu, cheng chen, xiujun chen, junwei pan, xun yang, qing tan, jian xu, and Kuang-Chih lee
    16:21 DM566 Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation Xujia Li, Yanyan Shen, and Lei Chen
    16:38 DM638 Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching Fan Zhou, Xiaocheng Tang, Chenfan Lu, Fan Zhang, Zhiwei Qin, Jieping Ye, and Hongtu Zhu
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  • Special Session in Diversity: Women in Data Science and Machine Learning December 10, 2021  15:30 - 17:00

    Speaker: Prof Kerri Mengersen Session 
    Chair: Prof Richi Nayak

    15:30 Let’s talk about uncertainty Speaker: Prof Kerri Mengersen Session Chair: Prof Richi Nayak
    16:30 Women in Data Science and Machine Learning Networking Panel  Panel Chair: Prof Richi Nayak
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  • Networking (Breakout rooms and speed networking) December 10, 2021  17:00 - 17:30
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  • Session 6A: Recommender Systems (Stream A) December 10, 2021  17:30 - 19:00

    Session Chair: Guandong Xu

    17:30 DM468 Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, and Guandong Xu
    17:47 DM980 Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation Ruihong Qiu, Zi Huang, and Hongzhi Yin
    18:04 DM1012 Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training Mingyue Cheng, Fajie Yuan, Liu Qi, Shenyang Ge, Xin Xin, and Chen Enhong
    18:21 DM217 Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, and Jinwen Ma
    18:33 DM630 Stochastic Tunable Cold Item Integration Mechanisms for Recommender Systems Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, and Noam Koenigstein
    18:45 DM722 MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations Krishna Neupane, Ervine Zheng, and Qi Yu
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  • Session 6B: Adversarial Learning (Stream B) December 10, 2021  17:30 - 19:00

    Session Chair: Xuyun Zhang

    17:30 DM277 Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries Shuo Yang, Zeyu Feng, Pei Du, Bo Du, and Chang Xu
    17:47 DM474 Graph-based Adversarial Online Kernel Learning with Adaptive Embedding Peng Yang, Xiaoyun Li, and Ping Li
    18:04 DM626 Towards Stochastic Neural Network via Feature Distribution Calibration Hao Yang, Min Wang, Yun Zhou, and Yongxin Yang
    18:16 DM637 Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han, and Sang-Wook Kim
    18:28 DM831 Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning Preethi Lahoti, Krishna Gummadi, and Gerhard Weikum
    18:40 DM842 Attacking Similarity-Based Sign Prediction Michał T. Godziszewski, Marcin Waniek, Yulin Zhu, Kai Zhou, Talal Rahwan, and Tomasz P. Michalak
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  • Session 6C: Graph Neural Networks 2 (Stream C) December 10, 2021  17:30 - 19:00

    Session Chair: Giovanni Stilo

    17:30 DM834 Hypergraph Convolutional Network for Group Recommendation Renqi Jia, Xiaofei Zhou, Linhua Dong, and Shirui Pan
    17:47 DM803 Heterogeneous Graph Neural Network with Distance Encoding Houye Ji, Pan Li, Chuan Shi, and Cheng Yang
    17:59 DM733 MC-RGCN: A Multi-Channel Recurrent Graph Convolutional Network to Learn High-Order Social Relations for Diffusion Prediction Ningbo Huang, Gang Zhou, Mengli Zhang, and Meng Zhang
    18:11 DM854 HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation Vijaikumar M, Deepesh Hada, and Shirish Shevade
    18:23 DM957 Learnable Structural Semantic Readout for Graph Classification Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, and Hwanjo Yu
    18:35 DM1123 GQNAS: Graph Q Network for Neural Architecture Search Yijian Qin, Xin Wang, Peng Cui, and Wenwu Zhu
    18:47 DM418 StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning Wen-Zhi Li, Ling Huang, Chang-Dong Wang, and Yuxin Ye
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  • Session 6D: Active and Semi-Supervised Learning (Stream D) December 10, 2021  17:30 - 19:00

    Session Chair: Guoxian Yu

    17:30 DM389 Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation Chen Huang, Liangxu Pan, Qinli Yang, Hongliang Wang, and Junming Shao
    17:47 DM843 PARWiS: Winner determination from Active Pairwise Comparisons under a Shoestring Budget Dev Sheth and Arun Rajkumar
    18:04 DM1008 Finding Age Path of Self-Paced Learning Zhou Zhai, Bin Gu, Li Xiang, and Heng Huang
    18:21 DM1154 Incomplete Multi-view Multi-label Active Learning Chuanwei Qu, Kuangmeng Wang, Hong Zhang, Guoxian Yu, and Carlotta Domeniconi
    18:33 DM298 Self-supervised Universal Domain Adaptation with Adaptive Memory Separation Ronghang Zhu and Sheng Li
    18:45 DM608 Multimodal N-best List Rescoring with Weakly Supervised Pre-training in Hybrid Speech Recognition Yuanfeng Song, Xiaoling Huang, Xuefang Zhao, Di Jiang, and Raymond Chi-Wing Wong
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  • Session 6E: Matrix and Tensor (Stream E) December 10, 2021  17:30 - 19:00

    Session Chair: Dantong Yu

    17:30 DM868 MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems Yunyong Ko, Jae-Seo Yu, Hong-Kyun Bae, Yongjun Park, Dongwon Lee, and Sang-Wook Kim
    17:47 DM544 Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings Yuandu Lai, Yahong Han, and Yaowei Wang
    18:04 DM724 Discriminative Additive Scale Loss for Deep Imbalanced Classification and Embedding Zhao Zhang, Weiming Jiang, Yang Wang, Qiaolin Ye, Mingbo Zhao, Mingliang Xu, and Meng Wang
    18:21 DM1044 Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference Le Xu, Cheng Lei, Ngai Wong, and Yik-Chung Wu
    18:33 DM589 Communication Efficient Tensor Factorization for Decentralized Healthcare Networks Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce Ho, and Sivasubramanium Bhavani
    18:45 DM641 Summarizing User-Item Matrix By Group Utility Maximization Yongjie Wang, Ke Wang, Cheng Long, and Chunyan Miao
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  • Networking (Breakout rooms and speed networking) December 10, 2021  19:00 - 19:30
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  • Awards Ceremony December 10, 2021  19:30 - 20:30
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  • Closing December 10, 2021  20:30 - 21:30
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