Download ICDM 2020 Program
DETAILED PROGRAM (MAIN CONFERENCE)
Please, refer to the respective Web pages for the detailed programs of Workshops.
| Session 1: Graph Mining I |
| DM747 | "A Hidden Challenge of Link Prediction: Which Pairs to Check?" |
| Caleb Belth, Alican Büyükçakır, and Danai Koutra |
| DM963 | "OWGL: Open-World Graph Learning" |
| Man Wu, Shirui Pan, and Xingquan Zhu |
| DM1051 | "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" |
| Mengmei Zhang, Linmei Hu, Chuan Shi, and Xiao Wang |
| DM887 | "Soft Graph Matching: Submodular Relaxation and Lovasz Extension" |
| Aritra Konar and Nicholas Sidiropoulos |
| DM704 | "Exploratory Adversarial Attacks on Graph Neural Networks" |
| Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, and Bin Wang |
| DM1050 | "LFGCN: Levitating over Graphs with Levy Flights" |
| Yuzhou Chen, Yulia Gel, and Konstantin Avrachen |
| Session 2: Mining Spatial and Temporal Data I |
| DM331 | "Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection" |
| Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, and Yanjie Fu |
| DM523 | "Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis" |
| Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, and Binayak Mohanty |
| DM870 | "Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction" |
| Yijun Lin, Yao-Yi Chiang, Meredith Franklin, Sandrah P. Eckel, and Jose Luis Ambite |
| DM335 | "T2-Net: A Semi-supervised Deep Model for Turbulence Forecasting" |
| Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, and Hui Xiong |
| DM522 | "A Heterogeneous Spatiotemporal Network for Lightning Prediction" |
| Yangli-ao Geng, Qingyong Li, Tianyang Lin, Jing Zhang, Liangtao Xu, Dong Zheng, Wen Yao, Weitao Lyu, and Heng Huang |
| Session 3: Recommender Systems I |
| DM255 | "Dynamic Graph Collaborative Filtering" |
| Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, and Philip Yu |
| DM389 | "Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning" |
| Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, and Wei Wang |
| DM625 | "CITIES: Contextual Inference of Tail-item Embeddings for Sequential Recommendation" |
| Seongwon Jang, Hoyeop Lee, Hyunsouk Cho, and Sehee Chung |
| DM428 | "J-Recs: Principled and Scalable Recommendation Justification" |
| Namyong Park, Andrey Kan, Christos Faloutsos, and Xin Luna Dong |
| DM729 | "STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation" |
| Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Hongwei Wang, Enhong Chen, Jianhui Ma, and Qi Liu |
| DM761 | "A Generalized-Momentum-Accelerated Hessian-Vector Algorithm for High-Dimensional and Sparse Data" |
| Weiling Li and Xin Luo |
| Session 4: Deep Learning I |
| DM749 | "Open-World Class Discovery with Kernel Networks" |
| Zifeng Wang, Batool Salehi, Andrey Gritsenko, Kaushik Chowdhury, Stratis Ioannidis, and Jennifer Dy |
| DM665 | "Ordinal-Content VAE: Isolating Ordinal-Valued Content Factors in Deep Latent Variable Models" |
| Minyoung Kim and Vladimir Pavlovic |
| DM916 | "Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis" |
| SUNNY VERMA, Rujia Shen, Jiwei Wang, Zhefeng Ge, Fan Jin, Yang Wang, Chen Wang, Fang Chen, Liming Zhu, and Wei Liu |
| DM757 | "Mate-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition" |
| Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, and Qing He |
| DM228 | "HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks" |
| Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, and Rui Zhang |
| Session 5: Unsupervised Learning |
| DM583 | "Dynamic Similarity Search on Integer Sketches" |
| Shunsuke Kanda and Yasuo Tabei |
| DM776 | "Probabilistic Neural-Kernel Tensor Decomposition" |
| Conor Tillinghast, Shikai Fang, Kai Zheng, and Shandian Zhe |
| DM690 | "Community Detection with Local Metric Learning" |
| Peiyan Li, Honglian Wang, Jianyun Lu, Qinli Yang, and Junming Shao |
| DM596 | "An Interpretable Data Embedding under Uncertain Distance Information" |
| Nikolaos Freris, Michalis Vlachos, and Ahmad Ajalloeian |
| DM824 | "Extremely Sparse Johnson-Lindenstrauss Transform: From Theory to Algorithm" |
| Rong Yin, Yong Liu, Weiping Wang, and Dan Meng |
| DM835 | "The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery" |
| Sebastian Dalleiger and Jilles Vreeken |
| Session 6: Social Networks |
| DM615 | "Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities" |
| Yingkui Wang, Di Jin, Carl Yang, and Jianwu Dang |
| DM622 | "Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection" |
| Yong-Nan Zhu, Xiaotian Luo, Yu-Feng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, and Mingfan Lu |
| DM209 | "Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks" |
| Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, and Lifang He |
| DM934 | "Rethinking Local Community Detection: Query Nodes Replacement" |
| Yuchen Bian, Jun Huan, Dejing Dou, and Xiang Zhang |
| DM260 | "Opinion Dynamics Incorporating Higher-Order Interactions" |
| Zuobai Zhang, Wanyue Xu, Zhongzhi Zhang, and Guanrong Chen |
| DM873 | "Finding Teams of Maximum Mutual Respect" |
| Sofia Maria Nikolakaki, Evaggelia Pitoura, Evimaria Terzi, and Panayiotis Tsaparas |
| Session 7: Time Series I |
| DM738 | "Fast Sparse Connectivity Network Adaption via Meta-Learning" |
| Bo Jin, Ke Cheng, Yue Qu, Liang Zhang, Keli Xiao, Xinjiang Lu, and Xiaopeng Wei |
| DM775 | "Just Wait For It... Sequential Patterns with Reliable Predictions" |
| Joscha Cueppers and Jilles Vreeken |
| DM364 | "MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives" |
| Takaaki Nakamura, Makoto Imamura, Ryan Mercer, and Eamonn Keogh |
| DM239 | "Exact Discovery of Time Series Motifs under DTW" |
| Sara Alaee, Kaveh Kamgar, and Eamonn Keogh |
| DM1002 | "FilCorr: Filtered and Lagged Correlation on Streaming Time Series" |
| Sheng Zhong, Vinicius Souza, and Abdullah Mueen |
| DM457 | "Fast Automatic Feature Selection for Multi-Period Sliding Window Aggregate in Time Series" |
| Rui An, Xingtian Shi, and Baohan Xu |
| Session 8: Recommender Systems II |
| DM780 | "Interest Sustainability-Aware Recommender System" |
| Dongmin Hyun, Junsu Cho, Chanyoung Park, and Hwanjo Yu |
| DM807 | "PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis" |
| Di Wu, Long Jin, and Xin Luo |
| DM1109 | "Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks" |
| Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, and Dawei Yin |
| DM683 | "Modeling Personalized Out-of-Town Distances in Location Recommendation" |
| Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, and Xiangnan He |
| DM849 | "Bandits Under the Influence" |
| Silviu Maniu, Stratis Ioannidis, and Bogdan Cautis |
| DM453 | "Robust Product Rating Rules Against Herding Effects: Theory and Applications" |
| Hong Xie and Mingze Zhong |
| Session 9: Deep Learning II |
| DM633 | "Improving Object Detection with Relation Mining Network" |
| Shengjia Chen, Zhixin Li, Feicheng Huang, Canlong Zhang, and Huifang Ma |
| DM597 | "Dynamic Connected Neural Decision Classifier and Regressor with Dynamic Soft Pruning" |
| Xinyu Fan, Faen Zhang, Xiang Lei, Jiahong Wu, Pengcheng Zhou, Jianfei Song, Jiashui Huang, Shenglan Ben, and Ze Huang |
| DM788 | "NAG: Neural feature aggregation framework for credit card fraud detection" |
| Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, and Michael Granitzer |
| DM242 | "Pruning Deep Neural Networks with L0-constrained Optimization" |
| Dzung Phan, Lam Nguyen, Nam Nguyen, and Jayant Kalagnanam |
| DM270 | "CorDEL: A Contrastive Deep Learning Approach for Entity Linkage" |
| Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, and Shuiwang Ji |
| Session 10: Textual and Unstructured Data I |
| DM343 | "Hybrid Context-Aware Word Sense Disambiguation in Topic Modeling based Document Representation" |
| Wenbo Li and Einoshin Suzuki |
| DM556 | "Interactive Attention Networks for Semantic Text Matching" |
| Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, and Fei Wang |
| DM393 | "Exploiting Knowledge Structure for Finding Similar Exercises in Online Education Systems" |
| Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, and Enhong Chen |
| DM789 | "Technical Phrase Extraction for Patent Mining: A Multi-level Approach" |
| Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, and Ke Rui |
| DM458 | "LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing" |
| Tong Xiao, Zhi-Jie Wang, Zhe Quan, Kaiqi Zhao, and Xiangke Liao |
| DM1041 | "TADO: Time-varying Attention with Dual-Optimizer Model" |
| Yuexin Wu and Tianyu Gao |
| Session 11: Graph Mining II |
| DM803 | "GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning" |
| Zhijie Chen, Hongtai Cao, and Kevin Chen-Chuan Chang |
| DM370 | "Graph Pooling with Representativeness" |
| Juanhui Li, Yao Ma, Yiqi Wang, Charu Aggarwal, Changdong Wang, and Jiliang Tang |
| DM552 | "Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework" |
| Aravind Sankar, Junting Wang, Adit Krishnan, and Hari Sundaram |
| DM553 | "Evolution of Real-world Hypergraphs: Patterns and Models without Oracles" |
| Yunbum Kook, Jihoon Ko, and Kijung Shin |
| DM1132 | "Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties" |
| Zeren Shui and George Karypis |
| DM231 | "Multi-Granular Active Learning with Networked Data: A Model-Free Approach" |
| Yi He, Xu Yuan, Nian-Feng Tzeng, and Xindong Wu |
| Session 12: Mining Spatial and Temporal Data II |
| DM391 | "Fast Spatial Autocorrelation" |
| Anar Amgalan, Lilianne R. Mujica-Parodi, and Steven S. Skiena |
| DM867 | "Efficient Top-k Temporal Closeness Calculation in Temporal Networks" |
| Lutz Oettershagen and Petra Mutzel |
| DM1151 | "Multivariate Time-series Anomaly Detection via Graph Attention Network" |
| Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, and Qi Zhang |
| DM923 | "Spatiotemporal Hypergraph Convolution Networks for Stock Movement Forecasting" |
| Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, and Rajiv Shah |
| DM697 | "Inductive Granger Causal Modeling for Multivariate Time Series" |
| Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, and Hongxia Yang |
| DM1110 | "AGSTN: Learning Attention-adjusted Graph Spatio-Temporal Networks for Short-term Urban Sensor Value Forecasting" |
| Yi-Ju Lu and Cheng-Te Li |
| Session 13: E-Learning and E-Commerce |
| DM720 | "BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search" |
| Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Weipeng Yan, and Di Jin |
| DM732 | "Learning to Undersampling for Class Imbalanced Credit Risk Forecasting" |
| Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, and Jiayu Tang |
| DM390 | "Structure-based Knowledge Tracing: An Influence Propagation View" |
| Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, and Shijin Wang |
| DM383 | "The Phantom Steering Effect in Q&A Websites" |
| Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia, and Kobi Gal |
| DM483 | "Learning Personal Conscientiousness from Footprints in E-Learning Systems" |
| Lo Pang-Yun Ting, Shan-Yun Teng, Kung-Ta Chuang, and Ee-Peng Lim |
| DM854 | "EWS-GCN: Edge Weight-Shared Graph Convolutional Network for Transactional Banking Data" |
| Ivan Sukharev, Valentina Shumovskaia, Kirill Fedyanin, Maxim Panov, and Dmitry Berestnev |
| Session 14: Reinforcement Learning |
| DM250 | "Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning" |
| Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu |
| DM527 | "Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent" |
| Xiaosa Zhao, Kunpeng Liu, Wei Fan, Xiaowei Zhao, Minghao Yin, and Yanjie Fu |
| DM547 | "Adversarial Precision Sensing with Healthcare Applications" |
| Fengyi Tang, Lifan Zeng, Fei Wang, and Jiayu Zhou |
| DM306 | "Soft policy optimization using dual-track advantage estimator" |
| Yubo Huang, Xuechun Wang, Luobao Zou, Zhiwei Zhuang, and Weidong Zhang |
| DM325 | "Diversity-aware Interactive Reinforced Feature Selection" |
| Wei Fan, Kunpeng Liu, Hao Liu, Pengyang Wang, Yong Ge, and Yanjie Fu |
| DM536 | "Effects of Model Misspecification on Bayesian Bandits: Case Studies in UX Optimization" |
| Mackenzie Sweeney, Matthew van Adelsberg, Kathryn Laskey, and Carlotta Domeniconi |
| Session 15: Textual and Unstructured Data II |
| DM461 | "MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections" |
| Zhao Zhang, Yulin Sun, Yang Wang, Zheng Zhang, Lin Wu, and Meng Wang |
| DM293 | "Semantics-assisted Wasserstein Learning for Topic and Word Embeddings" |
| Changchun Li, Ximing Li, Jihong Ouyang, and Yiming Wang |
| DM1079 | "Up and Down: Modelling Personality with Psycholinguistic Features and Language Models" |
| Yash Mehta, Samin Fatehi, Amirmohammad Kazameini, Clemens Stachl, Erik Cambria, and Sauleh Eetemadi |
| DM342 | "Self-Attentive Classification-Based Anomaly Detection in Unstructured Logs" |
| Sasho Nedelkoski, Jasmin Bogatinovski, Alexander Acker, Jorge Cardoso, and Odej Kao |
| DM562 | "TopicOcean: An Ever-Increasing Topic Model With Meta-learning" |
| Yuanfeng Song, Yongxin Tong, Siqi Bao, Di Jiang, Hua Wu, and Raymond Chi-Wing Wong |
| DM855 | "Cold Item Recommendations via Hierarchical Item2vec" |
| Oren Barkan, Avi Caciularu, Idan Rejwan, Jonathan Weill, Ori Katz, Itzik Malkiel, and Noam Koenigstein |
| Session 16: Graph Embedding and Representation Learning I |
| DM1061 | "FeatureNorm:L2 Feature Normalization for Dynamic Graph Embedding" |
| Menglin Yang, Ziqiao Meng, and Irwin King |
| DM938 | "AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks" |
| Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, and Qianli Xing |
| DM953 | "Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning" |
| Ziyue Qiao, Pengyang Wang, Yanjie Fu, Yi Du, Pengfei Wang, and Yuanchun Zhou |
| DM275 | "NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks" |
| Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, and Yuxiao Huang |
| DM967 | "A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs" |
| Susheel Suresh and Jennifer Neville |
| DM1092 | "Robust Meta Network Embedding against Adversarial Attacks" |
| Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, and Kisung Lee |
| Session 17: Time Series II |
| DM911 | "Order-Preserving Metric Learning for Mining Multivariate Time Series" |
| Jie Xu, Zhengxing Xu, Bin Yu, and Fei Wang |
| DM851 | "GROSSO: Mining Statistically Robust Patterns from a Sequence of Datasets" |
| Andrea Tonon and Fabio Vandin |
| DM674 | "Learning Periods from Incomplete Multivariate Time Series" |
| Lin Zhang, Alexander Gorovits, Wenyu Zhang, and Petko Bogdanov |
| DM948 | "Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation" |
| Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, and Yun Fu |
| DM473 | "Fast and Accurate Time Series Classification Through Supervised Interval Search" |
| Nestor Cabello, Elham Naghizade, Jianzhong Qi, and Lars Kulik |
| DM830 | "Mining Recurring Patterns in Real-Valued Time Series using the Radius Profile" |
| Dieter De Paepe and Sofie Van Hoecke |
| Session 18: Generative Methods |
| DM493 | "TrajGAIL: Trajectory Generative Adversarial Imitation Learning for Long-term Decision Analysis" |
| Xin Zhang, Yanhua Li, Xun Zhou, Ziming Zhang, and Jun Luo |
| DM362 | "Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks" |
| Carl Yang, Jieyu Zhang, and Jiawei Han |
| DM423 | "Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection" |
| Yuxiang Ren, Bo Wang, Jiawei Zhang, and Yi Chang |
| DM533 | "Data-Agnostic Local Neighborhood Generation" |
| Riccardo Guidotti and Anna Monreale |
| DM915 | "ERGAN: Generative Adversarial Networks for Entity Resolution" |
| Jingyu Shao, Qing Wang, Asiri Wijesinghe, and Erhard Rahm |
| DM430 | "Graph Sparsification with Generative Adversarial Network" |
| Hang-Yang Wu and Yi-Ling Chen |
| DM587 | "Learning from Incomplete Labeled Data via Adversarial Data Generation" |
| Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, and Jiliang Tang |
| Session 19: Mining Medical Data |
| DM436 | "BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes" |
| Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, and Chengqi Zhang |
| DM603 | "Rethinking Dice Loss for Medical Image Segmentation" |
| Rongjian Zhao, Buyue Qian, Xianli Zhang, Yang Li, Rong Wei, Yang Liu, and Yinggang Pan |
| DM814 | "Estimating Individual Treatment Effects with Time-Varying Confounders" |
| Ruoqi Liu, Changchang Yin, and Ping Zhang |
| DM1100 | "A Weighted Overlook Graph Representation of EEG Data for Absence Epilepsy Detection" |
| Jialin Wang, Shen Liang, Ye Wang, Yanchun Zhang, Dake He, Jiangang Ma, Chunyang Ruan, Yingpei Wu, Xiaoyuan Hong, and Jiaqiu Shen |
| DM266 | "Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data" |
| Weijian Li, Wei Zhu, Jiebo Luo, and Ray Dorsey |
| DM348 | "Learning Space-Time-Frequency Representation with Two-Stream Attention Based 3D Network for Motor Imagery Classification" |
| Zhenqi Li, Jing Wang, Ziyu Jia, and Youfang Lin |
| DM899 | "Confidence Calibration on Multiclass Classification in Medical Imaging" |
| Wenjing Yang, Zhantao Cao, Qin Chen, Yuhong Yang, and Guowu Yang |
| Session 20: Security and Privacy |
| DM262 | "Provably Robust Node Classification via Low-Pass Message Passing" |
| Yiwei Wang, Shenghua Liu, Minji Yoon, Hemank Lamba, Wei Wang, Christos Faloutsos, and Bryan Hooi |
| DM330 | "MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models" |
| Thai Le, Suhang Wang, and Dongwon Lee |
| DM495 | "Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks" |
| Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, and Dawn Song |
| DM418 | "Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market" |
| Yujie Fan, Yanfang (Fanny) Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, and Liang Zhao |
| DM1084 | "Generalizing Universal Adversarial Attacks Beyond Additive Perturbations" |
| Yanghao Zhang, Wenjie Ruan, Fu Wang, and Xiaowei Huang |
| DM382 | "Hide and Mine in Strings: Hardness and Algorithms" |
| Giulia Bernardini, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon Pissis, Giulia Punzi, Leen Stougie, and Michelle Sweering |
| DM800 | "Community Preserved Social Graph Publishing with Node Differential Privacy" |
| Sen Zhang, Weiwei Ni, and Nan Fu |
| Session 21: Graph Embedding and Representation Learning II |
| DM290 | "PERFECT: A Hyperbolic Embedding for Joint Social Network Alignment" |
| Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su, and Philip S. Yu |
| DM758 | "LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction" |
| Yanhui Peng and Jing Zhang |
| DM959 | "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning" |
| Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang, and Yangyong Zhu |
| DM692 | "Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure" |
| Chun Wang, Bo Han, Shirui Pan, Jing Jiang, Gang Niu, and Guodong Long |
| DM623 | "Learning Node Representations from Noisy Graph Structures" |
| Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, and Chuan Shi |
| DM961 | "The Necessity of Geometrical Representation for Deep Graph Analysis" |
| Mostafa Rahmani and Ping Li |
| DM1125 | "Deep Semantic Network Representation" |
| Xuexiong Luo, Xiankun zhang, Yuan Wang, Jia Wu, and Chuan Zhou |
| Session 22: Supervised Learning I |
| DM404 | "Online AUC Optimization for Sparse High-Dimensional Datasets" |
| Baojian Zhou, Yiming Ying, and Steven Skiena |
| DM666 | "Partial Multi-Label Learning using Label Compression" |
| Tingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang |
| DM529 | "Effective Proximal Methods for Non-convex Non-smooth Regularized Learning" |
| Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, and Jinbo Bi |
| DM743 | "Learn-Prune-Share for Lifelong Learning" |
| Zifeng Wang, Tong Jian, Kaushik Chowdhury, Yanzhi Wang, Jennifer Dy, and Stratis Ioannidis |
| DM611 | "Multi-type Objects Multi-view Multi-instance Multi-label Learning" |
| Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang |
| DM469 | "Optimal Probabilistic Classification in Active Class Selection" |
| Mirko Bunse, Dorina Weichert, Alexander Kister, and Katharina Morik |
| DM561 | "Null-Labelling: A Generic Approach for Learning in the Presence of Class Noise" |
| Benjamin Denham, Russel Pears, and M. Asif Naeem |
| Session 23: Outliers and Anomaly Detection |
| DM476 | "Mining Text Outliers in Document Directories" |
| Edouard Fouché, Yu Meng, Fang Guo, Honglei Zhuang, Klemens Böhm, and Jiawei Han |
| DM360 | "LP-Explain: Local Pictorial Explanation for Outliers" |
| Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, and Jing Gao |
| DM795 | "COPOD: Copula-Based Outlier Detection" |
| Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, and Xiyang Hu |
| DM497 | "Anomaly Detection on Dynamic Bipartite Graph with Burstiness" |
| Zhe Chen and Aixin Sun |
| DM379 | "Anomaly Aware Network Embedding: A Novel Network Embedding For Anomaly Link Detection" |
| Dongsheng Duan, Lingling Tong, Yangxi Li, Jie Lu, Lei Shi, and Cheng Zhang |
| DM784 | "Random Histogram Forest for Unsupervised Anomaly Detection" |
| Andrian Putina, Mauro Sozio, Dario Rossi, and Jose Manuel Navarro |
| DM888 | "Unsupervised Anomaly Detection on Multisensory Data from Honey Bee Colonies" |
| Diren Senger, Carolin Johannsen, Alexandros Melemenidis, Alexander Goncharskiy, and Thorsten Kluss |
| Session 24: Stream, Parallel and High-Performance Data Mining |
| DM474 | "Online Optimized Product Quantization" |
| Chong Liu, Defu Lian, Min Nie, and Hu Xia |
| DM987 | "MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments" |
| Honghui Du, Leandro Minku, and Huiyu Zhou |
| DM214 | "Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework" |
| Junxiang Wang, Zheng Chai, Yue Cheng, and Liang Zhao |
| DM991 | "Force2Vec: Parallel force-directed graph embedding" |
| Md. Khaledur Rahman, Majedul Haque Sujon, and Ariful Azad |
| DM278 | "Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off" |
| Minji Yoon, Theophile Gervet, Bryan Hooi, and Christos Faloutsos |
| DM734 | "Detecting hierarchical changes in latent variable models" |
| Shintaro Fukushima and Kenji Yamanishi |
| Session 25: Semi-Supervised Learning |
| DM570 | "Semi-Supervised Partial Multi-Label Learning" |
| Ming-Kun Xie and Sheng-Jun Huang |
| DM930 | "ViVA: Semi-supervised Visualization via Variational Autoencoder" |
| Sungtae An, Shenda Hong, and Jimeng Sun |
| DM349 | "Classifier Invariant Approach to Learn from Positive-Unlabeled Data" |
| Amit Dhurandhar and Karthik Gurumoorthy |
| DM755 | "Learning from Multi-Class Positive and Unlabeled Data" |
| Senlin Shu, Zhuoyi Lin, Yan Yan, and Li Li |
| DM1005 | "Community Attention Network for Semi-supervised Node Classification" |
| Zhongjing Yu, Han Wang, Yang Liu, Christian Böhm, and Junming Shao |
| DM1045 | "Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization" |
| Prashnna Gyawali, Sandesh Ghimire, and Linwei Wang |
| DM774 | "Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing" |
| Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofeng Cheng, Ruizhang Huang, Yu-Feng Li, and Zhi-Hua Zhou |
| Session 26: Supervised Learning II |
| DM746 | "Stochastic Hard Thresholding Algorithms for AUC Maximization" |
| Zhenhuan Yang, Baojian Zhou, Yunwen Lei, and Yiming Ying |
| DM777 | "Online Bayesian Sparse Learning with Spike and Slab Priors" |
| Shikai Fang, Shandian Zhe, Kuang-chih Lee, Kai Zhang, and Jennifer Neville |
| DM962 | "DoubleEnsemble: A New Ensemble Method Based on Sample Reweighting and Feature Selection for Financial Data Analysis" |
| Chuheng Zhang, Yuanqi Li, Xi Chen, Yifei Jin, Jian Li, and Pingzhong Tang |
| DM1093 | "Exploiting Inconsistency Problem in Multi-label Classification via Metric Learning" |
| Peiyan Li, Zhili Qin, Honglian Wang, Qinli Yang, and Junming Shao |
| DM957 | "Robust Collaborative Learning with Noisy Labels" |
| Mengying Sun, Jing Xing, Bin Chen, and Jiayu Zhou |
| DM989 | "Robust Multi-Target Regression for Correlated Data Corruption" |
| Xuchao Zhang and Yingwen Shao |
| DM1121 | "Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model" |
| Haoran Li, Yang Weng, and Hanghang Tong |
| Session 27: Clustering |
| DM377 | "Deep Incomplete Multi-View Multiple Clusterings" |
| Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang |
| DM773 | "Approximation algorithms for probabilistic $k$-center clustering" |
| Sharareh Alipour |
| DM440 | "A mixed integer linear programming approach for the soft graph clustering problems" |
| Vicky Mak-Hau and John Yearwood |
| DM507 | "Dissimilarity Random Forest Clustering" |
| Manuele Bicego |
| DM712 | "Ensemble Learning for Spectral Clustering" |
| Hongmin Li, Xiuca Ye, Akira Imakura, and Tetsuya Sakurai |
| DM845 | "AutoClust: A Framework for Automated Clustering based on Cluster Validity Indices" |
| Yannis Poulakis, Christos Doulkeridis, and Dimosthenis Kyriazis |
| DM634 | "Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport" |
| Liang Yang, Yuangfang Guo, Xiaochun Cao, Chuan Wang, Lu Zhai, Di Jin, and Junhua Gu |
| Session 28: Mining Traffic and Transport Data |
| DM928 | "Prescriptive Learning for Air-Cargo Revenue Management" |
| Stefano Giovanni Rizzo, Yixian Chen, Linsey Pang, Ji Lucas, Zoi Kaoudi, Jorge Quiane, and Sanjay Chawla |
| DM619 | "Multi-Attention 3D Residual Neural Network for Origin-Destination Crowd Flow Prediction" |
| Jiaman Ma, Jeffrey Chan, Sutharshan Rajasegarar, Goce Ristanoski, and Christopher Leckie |
| DM322 | "A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System" |
| Fandel Lin and Hsun-Ping Hsieh |
| DM768 | "Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields" |
| Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, and Hu Zhang |
| DM1123 | "Exploiting Frequency Information in Spatiotemporal Modeling for Traffic Prediction" |
| Xian Zhou, Yanyan Shen, and Linpeng Huang |
| DM486 | "TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting" |
| Xu Chen, Yuanxing Zhang, Lun Du, Zheng Fang, Yi Ren, Kaigui Bian, and Kunqing Xie |
| DM526 | "cST-ML: Continuous Spatial-Temporal Meta-Learning for Traffic Dynamics Prediction" |
| Yingxue Zhang, Yanhua Li, Xun Zhou, and Jun Luo |
| Session 29: Imbalance, Fairness and Human aspects |
| DM868 | "Metric-Free Individual Fairness with Cooperative Contextual Bandits" |
| Qian Hu and Huzefa Rangwala |
| DM976 | "A Primal-Dual Subgradient Approach for Fair Meta Learning" |
| Chen Zhao, Feng Chen, Zhuoyi Wang, and Latifur Khan |
| DM799 | "Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing" |
| Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, and Shijin Wang |
| DM513 | "MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance" |
| Anubha Kabra, Ayush Chopra, Nikaash Puri, Pinkesh Badjatiya, Sukriti Verma, Piyush Gupta, and Balaji Krishnamurthy |
| DM1047 | "Fairness Perception from a Network-Centric Perspective" |
| Farzan Masrour, Pang-Ning Tan, and Abdol-Hossein Esfahanian |
| DM575 | "Your Best Guess When You Know Nothing: Identification and Mitigation of Selection Bias" |
| Katharina Dost, Katerina Taskova, Patricia Riddle, and Jörg Wicker |
