Detailed Program

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November 8, 2019
8:00 - 10:00Workshop Sessions
WorkshopRoomDescription
TMDM301ABTranslational Multimedia Data Mining for AI-Based Medical Diagnostics
SCW302ABThe Social Computing Workshop
BSMDMA303ABig Social Media Data Management and Analysis
DSBDA303B Workshop on Data Science and Big Data Analytics
HDM305IEEE ICDM Workshop on High Dimensional Data Mining
BDA401ICDM Workshop on Blockchain Data Analytics
OEDM & DMIIOT402ABWorkshop on Optimization Based Techniques for Emerging Data Mining Problems and IoT
AML4031st IEEE ICDM Workshop on Autonomous Machine Learning
DMESS-DMCIH405Joint Workshop on Data Mining in Earth System Science and Data Mining in Climate Change Impact, Mitigation and Human Behavior
SSTDM406Workshop on Spatial and Spatio-Temporal Data Mining
Demo Sessions
Room 407
S39202Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, and Xiaolong Li, SNSaPP: Unbiased Social Media Analysis against Paid Posters
S39206jiasheng zhang, Thai Le, yiming Liao, and dongwon lee, PATHFINDER: Graph-based Itemset Embedding for Learning Course Recommendation and Beyond
S39208Leyu Liu, Xin Huang, Jianliang Xu, and Yunya Song, Oasis: Online Analytic System for Incivility Detection and Sentiment Classification
S39209Tianxing Tian, Shi Chen, Yaobo Wu, Fan Zhang, Yinan Jing, Zhenying He, X. Sean Wang, Wei Wang, and Peng Zhang, An Automatic Illustration Recommendation System
S39210Tuan Nguyen, Nicolas Meger, Christophe Rigotti, Catherine Pothier, Noel Gourmelen, and Emmanuel Trouve, A pattern-based mining system for exploring Displacement Field Time Series
S39212Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, and Miao Qi, Automated Feature Enhancement for Predictive Modeling using External Knowledge
S39214Guangcan Mai, Renjie Gou, Liya Ji, Hua Wu, Fei Cao, Qifeng Chen, and Jun Luo, AgileDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones
S39215Giulia Preti, Polina Rozenshtein, Aristides Gionis, and Yannis Velegrakis, ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks
S39216Bei Chen, Rahul Nair, and Inge Vejsbjerg, RSM: An explainable predictive sales route selector
10:00 - 10:20Coffee Break
10:20 - 12:00Workshop Sessions
WorkshopRoomDescription
TMDM301ABTranslational Multimedia Data Mining for AI-Based Medical Diagnostics
SCW302ABThe Social Computing Workshop
BSMDMA303ABig Social Media Data Management and Analysis
DSBDA303B Workshop on Data Science and Big Data Analytics
HDM305IEEE ICDM Workshop on High Dimensional Data Mining
BDA401ICDM Workshop on Blockchain Data Analytics
OEDM & DMIIOT402ABWorkshop on Optimization Based Techniques for Emerging Data Mining Problems and IoT
AML4031st IEEE ICDM Workshop on Autonomous Machine Learning
DMESS-DMCIH405Joint Workshop on Data Mining in Earth System Science and Data Mining in Climate Change Impact, Mitigation and Human Behavior
SSTDM406Workshop on Spatial and Spatio-Temporal Data Mining
Demo Sessions
Room 407
S39202Chong Long, Xiaotong Zhang, Yafang Wang, Xiaolu Lu, Feiwu Han, Jiaxing Zhang, and Xiaolong Li, SNSaPP: Unbiased Social Media Analysis against Paid Posters
S39206jiasheng zhang, Thai Le, yiming Liao, and dongwon lee, PATHFINDER: Graph-based Itemset Embedding for Learning Course Recommendation and Beyond
S39208Leyu Liu, Xin Huang, Jianliang Xu, and Yunya Song, Oasis: Online Analytic System for Incivility Detection and Sentiment Classification
S39209Tianxing Tian, Shi Chen, Yaobo Wu, Fan Zhang, Yinan Jing, Zhenying He, X. Sean Wang, Wei Wang, and Peng Zhang, An Automatic Illustration Recommendation System
S39210Tuan Nguyen, Nicolas Meger, Christophe Rigotti, Catherine Pothier, Noel Gourmelen, and Emmanuel Trouve, A pattern-based mining system for exploring Displacement Field Time Series
S39212Sainyam Galhotra, Udayan Khurana, Oktie Hassanzadeh, Kavitha Srinivas, Horst Samulowitz, and Miao Qi, Automated Feature Enhancement for Predictive Modeling using External Knowledge
S39214Guangcan Mai, Renjie Gou, Liya Ji, Hua Wu, Fei Cao, Qifeng Chen, and Jun Luo, AgileDetect: An Agile Platform for Inspecting Power Transmission Lines from Drones
S39215Giulia Preti, Polina Rozenshtein, Aristides Gionis, and Yannis Velegrakis, ExCoDE: a Tool for Discovering and Visualizing Regions of Correlation in Dynamic Networks
S39216Bei Chen, Rahul Nair, and Inge Vejsbjerg, RSM: An explainable predictive sales route selector
12:00 - 13:30Lunch
13:30 - 15:20Workshop Sessions
WorkshopRoomDescription
DeepSpatial301ABDeep Learning for Spatio-temporal and Graph-based Data
DFM302ADynamic Feature Mining
MLCS302BThe 1st Workshop on Multilingual Cognitive Services
CDEC303AThe 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration
DMS303BData Mining for Service
LMID305Workshop on Learning and Mining with Industrial Data
UHAVE401International Workshop on Understanding and Harnessing AdVersarial Examples
UDML402ABWorkshop on Utility-Driven Mining and Learning
DMBIH403Workshop on Data Mining in Biomedical Informatics and Healthcare
SENTIRE405 Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DaMNet406Workshop on Data Mining in Networks
ICDM PhD Forum
Room 407
15:20 - 15:40Coffee Break
15:40 - 17:40Workshop Sessions
WorkshopRoomDescription
DeepSpatial301ABDeep Learning for Spatio-temporal and Graph-based Data
DFM302ADynamic Feature Mining
MLCS302BThe 1st Workshop on Multilingual Cognitive Services
CDEC303AThe 2nd International Workshop on Cross-disciplinary Data Exchange and Collaboration
DMS303BData Mining for Service
LMID305Workshop on Learning and Mining with Industrial Data
UHAVE401International Workshop on Understanding and Harnessing AdVersarial Examples
UDML402ABWorkshop on Utility-Driven Mining and Learning
DMBIH403Workshop on Data Mining in Biomedical Informatics and Healthcare
SENTIRE405 Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
DaMNet406Workshop on Data Mining in Networks
ICDM PhD Forum
Room 407

November 9, 2019
8:30 - 9:00Opening Remark
9:00 - 10:00Keynote Speech I: Jiawei Han
Title: Embedding-Based Text Mining: A Frontier in Data Mining
10:00 - 10:20Coffee Break
10:20 - 12:00Sessions
Session 1: Streaming and Moving Object Data
10:20am-12:00pm, Nov. 9
Room 301A
Session Chair: Heitor Murilo Gomes, University of Waikato
Regular:
DM393"MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification"
Monidipa Das, Mahardhika Pratama, Septiviana Savitri, and Zhang Jie
DM1213"Streaming Random Patches for Evolving Data Stream Classification"
Heitor Murilo Gomes, Jesse Read, and Albert Bifet
Short:
DM694"Nearest Neighbor Ensembles---An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes"
Xin-Qiang Cai, Peng Zhao, Kai Ming Ting, Xin Mu, and Yuan Jiang
DM754"Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection"
Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, and Po Li
DM848"Collective Protection: Preventing Sensitive Inferences via Integrative Transformation"
Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, and Sen Wang
Session 2: Supervised Learning
10:20am-12:00pm, Nov. 9
Room 301B
Session Chair: Fei Tan, Yahoo Research
Regular:
DM882"Online Budgeted Least Squares with Unlabeled Data"
Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, and Junming Shao
DM1119"Distribution of Node Embeddings as Multiresolution Features for Graphs"
Mark Heimann, Tara Safavi, and Danai Koutra
DM728"Supervised Class Distribution Learning for GANs-based Imbalanced Classification"
Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, and Liping Jing
Short:
DM544"Fair Adversarial Gradient Tree Boosting"
Vincent Grari, Boris Ruf, Sylvain Lamprier, and Marcin Detyniecki
DM1141"On the Robust Splitting Criterion of Random Forest"
Binbin Yang, Wei Gao, and Ming Li
Session 3: Urban, Mobilty, and Behavior Data
10:20am-12:00pm, Nov. 9
Room 302A
Session Chair: ChuanRen Liu, University of Tennessee
Regular:
DM942"InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms"
Haipeng Chen, Yan Jiao, Zhiwei Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, and Jieping Ye
DM1121"A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ride Sharing"
Lihao Zhang, Zeyang Ye, Keli Xiao, and Bo Jin
DM905"Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing"
Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zhang, and Wenjun Zhou
Short:
DM1065"Deep Reinforcement Learning for Dynamic Multi-Driver Dispatching and Repositioning Problem"
John Holler, Risto Vuorio, Tiancheng Jin, Satinder Singh, Zhiwei Qin, Jieping Ye, Xiaocheng Tang, Yan Jiao, and Chenxi Wang
DM1165"Predicting Water Quality for Whole Woronora Delivery Network with Sparse Samples"
Bin Liang, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Ting Hua, Robert Ius, Andrew Peters, Dammika Vitanage, and Corinna Doolan
Session 4: Anomalies & Outliers
10:20am-12:00pm, Nov. 9
Room 302B
Session Chair: Xiang Ao, Institute of Computing Technology, CAS
Regular:
DM1178"Jointly embedding the local and global relations of heterogeneous graph for rumor detection"
Chunyuan Yuan, QianWen Ma, Wei Zhou, Songlin Hu, and Jizhong Han
DM857"Exploiting Multi-domain Visual Information for Fake News Detection"
Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li
Short:
DM509"MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data"
Hongzuo Xu, Yijie Wang, Yongjun Wang, and Zhiyue Wu
DM618"Learning review representations from user and product level information for spam detection"
Chunyuan Yuan, Wei Zhou, QianWen Ma, Shangwen Lv, Songlin Hu, and Jizhong Han
DM621"Multi-view Outlier Detection in Deep Intact Space"
Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, and Kun-Yu Lin
DM693"Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics"
Qiwei Zhong, Jiayu Tang, Jinghua Feng, and Jianfeng Chi
Session 5: Distributed & High Performance Data Mining
10:20am-12:00pm, Nov. 9
Room 305
Session Chair: Qinghai Zhou, UIUC
Regular:
DM359"Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization"
Atsushi Nitanda, Tomoya Murata, and Taiji Suzuki
DM471"Fast LSTM Inference by Dynamic Decomposition on Cloud Systems"
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, and James Demmel
Short:
DM997"Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning"
Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu
DM1015"Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers"
Huihui Wang, Shunmei Meng, Jinbiao Yu, and Jing Zhang
DM1193"A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning"
Pengzhan Guo, Zeyang Ye, and Keli Xiao
12:00 - 13:30Lunch
13:30 - 15:20Tutorial 1
Automated Deep Learning: Theory, Algorithms, Platforms, and Applications

Sessions
Session 6: Transfer Learning and Interpretable Learning
13:30pm-15:20pm, Nov. 9
Room 301B
Session Chair: Jindong Wang, Microsoft Research Asia
Regular:
DM443"Transfer Learning with Dynamic Adversarial Adaptation Network"
Chaohui Yu, Jindong Wang, Yiqiang Chen, and Meiyu Huang
DM1098"Towards Making Deep Transfer Learning Never Hurt"
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, and Jun Huan
Short:
DM624"User Response Driven Content Understanding with Causal Inference"
Fei Tan, Zhi Wei, Abhishek Pani, and Zhenyu Yan
DM405"Transfer Metric Learning for Unseen Domains"
Atsutoshi Kumagai, Tomoharu Iwata, and Yasuhiro Fujiwara
DM1199"A Model-Agnostic Approach for Explaining the Predictions on Clustered Data"
Zihan Zhou, Mingxuan Sun, and Jianhua Chen
DM704"EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees"
Jaemin Yoo and Lee Sael
Session 7: Supervised Learning
13:30pm-15:20pm, Nov. 9
Room 302A
Session Chair: Hao Wu, Shanghai Jiao Tong University
Regular:
DM278"Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification"
Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, and Meng Wang
DM678"Tabular Cell Classification Using Pre-Trained Cell Embeddings"
Majid Ghasemi-Gol, Jay Pujara, and Pedro Szekely
DM801"Learning Classifiers on Positive and Unlabeled Data with Policy Gradient"
Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, and Yu Hirate
Short:
DM342"Leaning Local and Global Multi-Context Representations for Document Classification"
Yi Liu, Hao Yuan, and Shuiwang Ji
DM422"ACE: Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation"
Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang
DM526"Collaborative Label Correction via Entropy Thresholding"
Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, and Yanfeng Wang
Session 8: Spatial and Temporal Data mining
13:30pm-15:20pm, Nov. 9
Room 302B
Session Chair: Panagiotis Papapetrou, Stockholm University
Regular:
DM340"Discovering Semantic Motifs in the Time Series"
Shima Imani and Eamonn Keogh
DM542"Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery"
Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, and Kai Zheng
DM787"Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory"
Subhabrata Dutta, Dipankar Das, and Tanmoy Chakraborty
Short:
DM432"Spatio-Temporal GRU for Trajectory Classication"
Hongbin Liu, Hao Wu, Weiwei Sun, and Ickjai Lee
DM447"An Integrated Model for Urban Subregion House Price Forecasting: a Multi-source Data Perspective"
Chuancai Ge, Yang Wang, XiKe Xie, Hengchang Liu, and Zhengyang Zhou
Session 9: Deep Learning and its Applications
13:30pm-15:20pm, Nov. 9
Room 303AB
Session Chair: Bo Jin, Dalian University of Technology
Regular:
DM308"Learning Credible Deep Neural Networks with Rationale Regularization"
Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu
DM311"Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction"
Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, and Shuiwang Ji
DM808"Generalized Adversarial Training in Riemannian Space"
Shufei Zhang, Kaizhu Huang, Rui Zhang, and Amir Hussain
Short:
DM227"Fast Sparse Coding Inference with Historical Information"
Zhenchang Zhang, Fei Jiang, and Ruimin Shen
DM398"Adaptive Neural Network for Node Classification in Dynamic Networks"
Dongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, and Xiang Zhang
Session 10: Machine Learning
13:30pm-15:20pm, Nov. 9
Room 305
Session Chair: Alfredo Cuzzocrea, University of Calabria
Regular:
DM752"Reinforced Molecule Generation with Heterogeneous States"
Fangzhou Shi, Shan You, and Chang Xu
Short:
DM593"Efficient Bayesian Optimization for Uncertainty Reduction over Perceived Optima Locations"
Vu Nguyen, Sunil Gupta, Santu Rana, My Thai, Cheng Li, and Svetha Venkatesh
DM610"Nearest Neighbor Classifiers versus Random Forests and Support Vector Machines"
Saket Sathe and Charu Aggarwal
DM797"Adaptive teacher-and-student model for heterogeneous domain adaptation"
Yunyun Wang, Xuzhang Chen, Songcan Chen, and Hui Xue
DM909"Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory"
Ajay Tripathi and Benjamin Domingue
DM936"Discovering Reliable Correlations in Categorical Data"
Panagiotis Mandros, Mario Boley, and Jilles Vreeken
15:20 - 15:40Coffee Break
15:40 - 17:40Tutorial 1
Automated Deep Learning: Theory, Algorithms, Platforms, and Applications

Sessions
Session 11: Unsupervised Learning
15:40pm-17:40pm, Nov. 9
Room 301B
Session Chair: Mahardhika Pratama, Nanyang Technological University
Regular:
DM299"Efficient Data Representation by Selecting Prototypes with Importance Weights"
Karthik Gurumoorthy, Amit Dhurandhar, Guillermo Cecchi, and Charu Aggarwal
DM320"Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery"
Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, and Meng Wang
DM418"XOR-based Boolean Matrix Decomposition"
Jörg Wicker, Cathy Hua, Rayner Rebello, and Bernhard Pfahringer
DM513"VSB-DVM: An End-to-end Bayesian Nonparametric Generalization of Deep Variational Mixture Model"
Xi Yang, Yuyao Yan, Kaizhu Huang, and Rui Zhang
DM572"Cross-modal Zero-shot Hashing"
Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang
Short:
DM1056"TMDA: Task-Specific Multi-Source Domain Adaptation via Clustering Embedded Adversarial Training"
Haotian Wang, Wenjing Yang, Zhipeng Lin, and Yue Yu
Session 12: Privacy and Security
15:40pm-17:40pm, Nov. 9
Room 302A
Session Chair: Alfredo Cuzzocrea, University of Calabria
Regular:
DM410"Privacy-Preserving Auto-Driving: a GAN-based Approach to Protect Vehicular Camera Data"
Zuobin Xiong, Wei Li, Qilong Han, and Zhipeng Cai
DM494"Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text"
Oluwaseyi Feyisetan, Tom Diethe, and Thomas Drake
DM665"Performing Co-Membership Attacks Against Deep Generative Models"
Kin Sum Liu, Chaowei Xiao, Bo Li, and Jie Gao
Short:
DM1074"On the Privacy of Socially Contagious Attributes"
Aria Rezaei and Jie Gao
DM1077"A Distributed Fair Machine Learning Framework with Private Demographic Data Protection"
Hui Hu, Yijun Liu, Zhen Wang, and Chao Lan
DM587"Generation of Low Distortion Adversarial Attacks via Convex Programming"
Tianyun Zhang, Sijia Liu, Yanzhi Wang, and Makan Fardad
DM628"Quantized Adversarial Training: An Iterative Quantized Local Search Approach"
Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li
Session 13: Theory
15:40pm-17:40pm, Nov. 9
Room 302B
Session Chair: Rameshwar Pratap, Indian Institute of Technology (IIT), Mandi
Regular:
DM867"Efficient Sketching Algorithm for Sparse Binary Data"
Rameshwar Pratap, Debajyoti Bera, and Karthik Revanuru
DM1300"CUDA : Contradistinguisher for Unsupervised Domain Adaptation"
Sourabh Balgi and Ambedkar Dukkipati
DM1113"M-estimation in Low-rank Matrix Factorization: a General Framework"
Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, and Hengshuai Yao
Short:
DM662"First Index-Free Manifold Ranking-based Image Retrieval with Output Bound"
Dandan Lin, Victor Junqiu Wei, and Raymond Chi Wing Wong
DM326"Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval"
Xingzhi Wang, Xin LIU, Shujuan Peng, Yiu-ming Cheung, Zhikai Hu, and Nannan Wang
DM928"What is the value of experimentation & measurement?"
C. H. Bryan Liu and Benjamin Paul Chamberlain
DM1188"Efficient Approximate Solution Path Algorithm for Order Weight $L_{1}$-Norm with Accuracy Guarantee"
Runxue Bao, Bin Gu, and Heng Huang
Session 14: Recommender Systems
15:40pm-17:40pm, Nov. 9
Room 303AB
Session Chair: Tianyu Li, Rakuten Institute of Technology
Regular:
DM394"Generating Reliable Friends via Adversarial Training to Improve Social Recommendation"
Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, and Qinyong Wang
DM577"Matching Novelty while Training: Novel Recommendation based on Personalized Pairwise Loss Weighting"
Kachun Lo and Tsukasa Ishigaki
Short:
DM257"Diversity-Aware Recommendation by User Interest Domain Coverage Maximization"
Yifan He, Haitao Zou, Hualong Yu, Qi Wang, and Shang Gao
DM263"I-CARS: An Interactive Context-Aware Recommender System"
Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, and Lei CHEN
DM445"Constrained Matrix Factorization for Course Score Prediction"
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, and Jian-Huang Lai
DM684"DRCGR: Deep reinforcement learning framework incorporating CNN and GAN-based for interactive recommendation"
Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, and Gang Chun
DM699"Dynamic News Recommendation with Hierarchical Attention Network"
Hui Zhang, Xu Chen, and Shuai Ma
Session 15: Graph Mining
15:40pm-17:40pm, Nov. 9
Room 305
Session Chair: Kijung Shin, KAIST
Regular:
DM926"Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, and Sai Manoj Pudukotai Dinakarrao
DM999"Computing Optimal Assignments in Linear Time for Approximate Graph Matching"
Nils M. Kriege, Pierre-Louis Giscard, Franka Bause, and Richard C. Wilson
DM266"Forest Distance Closeness Centrality in Disconnected Graphs"
Jin Yujia, Bao Qi, and Zhang Zhongzhi
Short:
DM580"Iterative Graph Alignment via Supermodular Approximation"
Aritra Konar and Nicholas D. Sidiropoulos
DM978"Discovering Robustly Connected Subgraphs with Simple Descriptions"
Janis Kalofolias, Mario Boley, and Jilles Vreeken
DM1156"ChainNet: Learning on Blockchain Graphs with Topological Features"
Ceren Abay, Umar Islambekov, Cuneyt Akcora, Yulia Gel, Murat Kantarcioglu, Yahui Tian, and Bhavani Thuraisingham
DM1028"Mining Maximal Clique Summary with Effective Sampling"
Xiaofan Li, Rui Zhou, Yujun Dai, Lu Chen, Chengfei Liu, Qiang He, and Yun Yang
18:00 - 22:00Welcome Reception @ Corridor at the Third Floor

November 10, 2019
9:00 - 10:00Keynote Speech II: Ronald Fagin
Title: Applying theory of data to practice
10:00 - 10:20Coffee Break
10:20 - 12:00Tutorial 2
Speech and Language Processing: New Tools, New Applications

Sessions
Session 16: Spatial and Temporal Data mining
10:20am-12:00pm, Nov. 10
Room 301B
Session Chair: Rosni Lumbantoruan, RMIT University, Australia
Regular:
DM1024"Boosted Trajectory Calibration for Traffic State Estimation"
Xitong Zhang, Liyang Xie, Zheng Wang, and Jiayu Zhou
DM1104"Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity"
Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer Leopold, and Yanjie Fu
Short:
DM890"TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks"
Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, and Jun Luo
DM894"Unveiling Taxi Drivers’ Strategies via cGAIL — Conditional Generative Adversarial Imitation Learning"
Xin Zhang, Yanhua Li, Xun Zhou, and Jun Luo
DM948"Efficient Mining and Exploration of Multiple Axis-aligned Intersecting Objects"
Tilemachos Pechlivanoglou, Vincent Chu, and Manos Papagelis
DM996"MTEX-CNN: Multivariate Time series EXplanations for Predictions with Convolutional Neural Networks"
Roy Assaf, Ioana Giurgiu, Frank Bagehorn, and Anika Schumann
Session 17: Bio-Medical/Helthcare
10:20am-12:00pm, Nov. 10
Room 302A
Session Chair: Shusaku Tsumoto, Shimane University
Regular:
DM951"Learning a Low-rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks"
Zhuliu Li, Wei Zhang, R. Stephanie Huang, and Rui Kuang
DM743"Temporal Self-Attention Network for Medical Concept Embedding"
Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jiang Jing, and Michael Blumenstein
DM832"Domain Knowledge Guided Deep Learning with Electronic Health Records"
Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, and Ping Zhang
Short:
DM280"CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare"
Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie
Session 18: Mining and Link Analysis in Networked Settings
10:20am-12:00pm, Nov. 10
Room 303AB
Session Chair: Petko Bogdanov, University at Albany - SUNY
Regular:
DM1135"RiWalk: Fast Structural Node Embedding via Role Identification"
Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, and Zhe Wang
DM1296"Interpretable Feature Learning of Graphs using Tensor Decomposition"
Shah Muhammad Hamdi and Rafal Angryk
Short:
DM1132"Set Your Clock: Optimal Timeline for Network Processes"
Daniel DiTursi, Carolyn Kaminski, and Petko Bogdanov
DM586"Learning to Hash for Efficient Search over Incomplete Knowledge Graphs"
Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, and Yang Chen
DM620"Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning"
Yunfei Chu, Chunyan Feng, Caili Guo, Tongze He, Yaqing Wang, and Jenq-Neng Hwang
Session 19: Textual and Unstructured data
10:20am-12:00pm, Nov. 10
Room 305
Session Chair: Ping Luo, Institute of Computing Technology, CAS
Regular:
DM274"HierCon: Hierarchical Organization of Technical Documents based on Concepts"
Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, and Xifeng Yan
DM420"Closed Form Word Embedding Alignment"
Sunipa Dev, Safia Hassan, and Jeff M Phillips
DM564"Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA"
Qing Chen, Jianji Wang, Xuguang Lan, and Nanning Zheng
Short:
DM1115"Constructing Educational Concept Maps with Multiple Relationships from Multi-source Data"
xiaoqing huang, Qi Liu, chao wang, haoyu han, Jianhui Ma, Enhong Chen, Yu Su, and Shijin Wang
DM1218"CSNN: Contextual Sentiment Neural Network"
Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, and Tatsuo Yamashita
12:00 - 13:30Lunch
13:30 - 15:20Tutorial 2
Speech and Language Processing: New Tools, New Applications

Industrial Talks

Sessions
Session 20: Deep Learning and its Applications
13:30pm-15:20pm, Nov. 10
Room 301B
Session Chair: Kyomin Jung, Seoul National University
Regular:
DM1172"Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach"
Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, and Hui Xiong
DM206"Bi-Directional Causal Graph Learning through Low-rank Approximated Neural Network"
Hao Huang, Chenxiao Xu, and Shinjae Yoo
Short:
DM1054"Relation Structure-Aware Heterogeneous Graph Neural Network"
Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, and Bin Wang
DM644"An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction"
Farid Razzak, Fei Yi, Yang Yang, and Hui Xiong
Session 21: Mining and Link Analysis in Networked Settings
13:30pm-15:20pm, Nov. 10
Room 303AB
Session Chair: Wei Zhang, East China Normal University
Regular:
DM968"Domain-Adversarial Graph Neural Networks for Text Classification"
Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, and Lei Pan
DM1110"DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction"
Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Qianli Xing, and Wenbin Hu
Short:
DM1007"Scalable Explanation of Inferences on Large Graphs"
Chao Chen, Yifei Liu, Xi Zhang, and Sihong Xie
DM1125"Learning Robust Representations with Graph Denoising Policy Network"
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Hongyuan Zha, Wei Zhang, Xiaofeng He, and Haifeng Chen
DM1202"Dual Adversarial Learning Based Network Alignment"
Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, and Pengwei Wang
DM1215"AMENDER: an Attentive and Aggregate Multi-layered Network for Dataset Recommendation"
Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, and Xiangliang Zhang
DM1259"Block-Structured Optimization for Subgraph Detection in Interdependent Networks"
Fei Jie, Chunpai Wang, Feng Chen, Lei Li, and Xindong Wu
Session 22: Machine Learning
13:30pm-15:20pm, Nov. 10
Room 305
Session Chair: Tom Diethe, Amazon
Regular:
DM918"Generative Oversampling with a Contrastive Variational Autoencoder"
Wangzhi Dai, Kenney Ng, Kristen Severson, Wei Huang, Fred Anderson, and Collin Stultz
Short:
DM1217"An Arm-wise Randomization Approach to Combinatorial Linear Semi-bandits"
Kei Takemura and Shinji Ito
DM981"Space-efficient Feature Maps for Scalable Alignment Kernels"
Yasuo Tabei, Yoshihiro Yamanishi, and Rasmus Pagh
DM1171"Deep Technology Tracing for High-tech Companies"
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, and Jianhui Ma
DM541"Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking"
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, and Philip Yu
15:20 - 15:40Coffee Break
15:40 - 17:40Tutorial 2
Speech and Language Processing: New Tools, New Applications

Sessions
Session 23: Pattern mining and Data Pre-processing
15:40pm-17:40pm, Nov. 10
Room 301B
Session Chair: Yasuo Tabei, RIKEN Center for Advanced Intelligence Project
Regular:
DM1105"Modeling Graphs with Vertex Replacement Grammars"
Satyaki Sikdar, Justus Hibshman, and Tim Weninger
DM739"Neural Feature Search: A Neural Architecture for Automated Feature Engineering"
Xiangning Chen, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang
Short:
DM896"Permutation Strategies for Mining Significant Sequential Patterns"
Andrea Tonon and Fabio Vandin
DM976"Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior"
QINGZHE LI, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, and Lingfei Wu
DM642"Recognizing Variables from their Data via Deep Embeddings of Distributions"
Jonas Mueller and Alexander Smola
DM980"Improving Disentangled Representation Learning with the Beta Bernoulli Process"
Prashnna Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horacek, John Sapp, and Linwei Wang
DM1228"Unsupervised Qualitative Scoring for Binary Item Feature"
Koji Ichikawa and Hiroshi Tamano
Session 24: Recommender Systems
15:40pm-17:40pm, Nov. 10
Room 303AB
Session Chair: Chihhua Tai, National Taipei University
Regular:
DM599"DMFP: A Dynamic Multi-faceted Fine-grained Preference Model for Recommendation"
Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, and Kai Zheng
DM1140"Collaborative Distillation for Top-N Recommendation"
Jae-woong Lee, Minjin Choi, Jongwuk Lee, and Hyunjung Shim
Short:
DM711"To Be or Not To Be: Analyzing & Modeling Social Recommendation in Online Social Networks"
Ye Li, Hong Xie, Yishi Lin, and John C.S. Lui
DM826"Session-based Recommendation with Local Invariance"
Tianwen Chen and Raymond Chi Wing Wong
DM1097"Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering"
Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen
DM1149"Multi-Graph Convolution Collaborative Filtering"
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, and Xiuqiang He
DM1035"Personalized Neural Usefulness Network for Rating Prediction"
Qianqian Wang and Min Zhang
Session 25: Deep Learning and its Applications
15:40pm-17:40pm, Nov. 10
Room 305
Session Chair: Bin Liang, University of Technolog Sydney, Australia
Regular:
DM412"A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining"
Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, and Meng Wang
DM720"Aftershock Detection with Multi-Scale Description based Neural Network"
Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, and Qi Liu
DM1008"One-stage Deep Instrumental Variable Method for Causal Inference from Observational Data"
Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, and Guangquan Zhang
Short:
DM1087"Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation"
Babak Hosseini, Barbara Hammer, and Romain Montagne
DM607"VASE: A Twitter-based Vulnerability Analysis and Score Engine"
Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, and VS Subrahmanian
19:00 - 21:00Banquet @ Ballroom A (1st Floor)

November 11, 2019
9:00 - 10:00Keynote Speech III: Joseph Halpern
Title: Actual Causality
10:00 - 10:20Coffee Break
10:20 - 12:00Sessions
Session 26: Textual and Unstructured data
10:20am-12:00pm, Nov. 11
Room 301A
Session Chair: Guodong Long, University of Technology Sydney, Australia
Regular:
DM636"HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories"
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, and Jiawei Han
DM1032"Learning Dynamic Author Representations with Temporal Language Models"
Edouard Delasalles, Sylvain Lamprier, and Ludovic Denoyer
DM1064"Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model"
YUNSHI LAN, SHUOHANG WANG, and JING JIANG
DM1020"Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding"
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, and Bin Wang
Short:
DM1222"Discovering Relevant Reviews for Answering Product-related Queries"
Shiwei Zhang, JeyHan Lau, Xiuzhen Zhang, Jeffrey Chan, and Cecile Paris
Session 27: Multi-label/Multi task Learning
10:20am-12:00pm, Nov. 11
Room 301B
Session Chair: Qing Liao, Harbin Institue of Technology(Shen zhen)
Regular:
DM715"Discriminatively Relabel for Partial Multi-Label Learning"
Shuo He, Ke Deng, Li Li, and Senlin Shu
DM225"Generative Correlation Discovery Network for Multi-Label Learning"
Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, and Yun Fu
DM659"Machine Comprehension-Incorporated Relevance Matching"
Chen Zhang, Hao Wang, Liang Zhou, Yijun Wang, and Can Chen
DM1021"Rank-Based Multi-task Learning For Fair Regression"
Chen Zhao and Feng Chen
Session 28: Bio-Medical/Helthcare
10:20am-12:00pm, Nov. 11
Room 302A
Session Chair: Jiang Li, Old Dominion Universrity
Regular:
DM1003"Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network"
Changchang Yin, Buyue Qian, Jishang Wei, XIaoyu Li, Xianli Zhang, Yang Li, and Qinghua Zheng
DM1107"DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data"
Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, and Fei Wang
DM1161"Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network"
XIaoyu Li, Jishang Wei, Buyue Qian, An Li, Xuan Liu, and Qinghua Zheng
Short:
DM466"DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums"
Yuyang Gao, Lingfei Wu, Houman Homayoun, and Liang Zhao
Session 29: Mining and Link Analysis in Networked Settings
10:20am-12:00pm, Nov. 11
Room 303AB
Session Chair: Xiangliang Zhang, KAUST
Regular:
DM559"Discrete Overlapping Community Detection with Pseudo Supervision"
Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, and Jeffrey Xu Yu
DM604"Self-Attentive Attributed Network Embedding Through Adversarial Learning"
Wenchao Yu, Wei Cheng, Charu Aggarwal, Bo Zong, Haifeng Chen, and Wei Wang
DM924"Dataset Recommendation via Variational Graph Autoencoder"
Basmah Altaf, Uchenna Akujuobi, Lu Yu, and Xiangliang Zhang
Short:
DM653"Senti2Pop: Sentiment-Aware Topic Popularity Prediction on Social Media"
Jinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, and Guihai Chen
DM974"Network Identification and Authentication"
Shengmin Jin, Vir Phoha, and Reza Zafarani
Session 30: Clustering
10:20am-12:00pm, Nov. 11
Room 305
Session Chair: Claudia Plant
Regular:
DM262"Automatic Clustering by Detecting Significant Density Dips in Multiple Dimensions"
Pantelis Chronis
DM630"Improving Spectral Clustering with Deep Embedding and Cluster Estimation"
Liang Duan, Charu Aggarwal, Shuai Ma, and Saket Sathe
Short:
DM205"Deep Embedded Cluster Tree"
Dominik Mautz, Claudia Plant, and Christian Böhm
DM657"From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering"
Hui Yan, Siyu Liu, and Philip Yu
DM900"Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
Youwei Liang, Dong Huang, and Chang-Dong Wang
12:00 - 13:30ICDM Community Meeting (Lunch provided by the conference)
Student Travel Awards
ICDM '19 & '20
13:30 - 16:00Tutorial 3
Table Extraction and Understanding for Scientific and Enterprise Applications

Sessions
Session 31: Semi-supervised & Active Learning
13:30am-16:00pm, Nov. 11
Room 301B
Session Chair: Farid Razzak, Rutgers University
Regular:
DM574"Discriminative Regularized Deep Generative Models for Semi-Supervised Learning"
Qianqian Xie, Min Peng, and HUA WANG
DM767"Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification"
Uchenna Akujuobi, Han Yufei, Qiannan Zhang, and Xiangliang Zhang
DM1195"Learning to Sample: an Active Learning Framework"
Jingyu Shao, Qing Wang, and Fangbing Liu
DM217"Neural Embedding Propagation on Heterogeneous Networks"
Carl Yang, Jieyu Zhang, and Jiawei Han
DM1062"A Semi-supervised Graph Attentive Network for Fraud Detection"
Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou,
Shuang Yang, and Qi Yuan
Short:
DM1041"A Factorized Version Space Algorithm for "Human-In-the-Loop" Data Exploration"
Luciano Di Palma, Yanlei Diao, and Anna Liu
DM1093"Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images"
Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, and Jiang Li
Session 32: Sequences & Time Series
13:30am-16:00pm, Nov. 11
Room 302A
Session Chair: Babak Hosseini, Dortmund University
Regular:
DM275"Multi-Aspect Mining of Complex Sensor Sequences"
Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, and Yasushi Sakurai
DM346"An Efficient Policy Gradient Method for Conditional Dialogue Generation"
Lei Cai and Shuiwang Ji
DM633"Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile"
Zachary Zimmerman, Nader Shakibay Senobari, Gareth Funning, Evangelos Papalexakis, Samet
Oymak, Philip Brisk, and Eamonn Keogh
DM927"Discovering Subdimensional Motifs of Different Length in Large-Scale Multivariate Time Series"
Yifeng Gao and Jessica Lin
Short:
DM861"A Wasserstein Subsequence Kernel for Time Series"
Christian Bock, Matteo Togninalli, Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, and Karsten
Borgwardt
DM1262"Triple-shapelet Networks for Time Series Classification"
Qianli Ma, Wanqing Zhuang, and Garrison Cottrell
DM323"Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets"
Kaveh Kamgar, Shaghayegh Gharghabi, and Eamonn Keogh
DM376"Intervention-Aware Early Warning"
Dhivya Eswaran, Christos Faloutsos, Nina Mishra, and Yonatan Naamad
Session 33: Mining and link analysis in Networked Settings
13:30am-16:00pm, Nov. 11
Room 303AB
Session Chair: Ivan Brugere, Salesforce Research
Regular:
DM1048"PERCeIDs: Periodic Community Detection"
Lin Zhang, Alexander Gorovits, and Petko Bogdanov
DM391"Adversarial Robustness of Similarity-Based Link Prediction"
Kai Zhou, Tomasz Michalak, and Yevgeniy Vorobeychik
DM481"Social Trust Network Embedding"
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, and Jian Yang
DM487"Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket"
Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, and Danai Koutra
Short:
DM236"KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction"
Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, and Qinghua Zheng
DM491"Admiring: Adversarial Multi-Network Mining"
Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, and Hanghang Tong
Session 34: Human-machine Interaction and Visual Data Mining
13:30am-16:00pm, Nov. 11
Room 305
Session Chair: Qi Li, Iowa State University
Regular:
DM373"Exploring Semantic Relationships for Image Captioning without Parallel Data"
Fenglin Liu, Meng Gao, Tianhao Zhang, and Yuexian Zou
DM652"Adaptive Cognitive Activity Recognition with Reinforced Attentive CNN"
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao Liu
DM707"Mining Audio, Text and Visual Information for Talking Face Generation"
Lingyun Yu and Jun Yu
DM1251"NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation"
Jinxin Chang, Ruifang He, Haiyang Xu, Kun Han, Longbiao Wang, Xiangang Li, and Jianwu Dang
Short:
DM317"Scene Text Recognition with Auto-Aligned Recurrent Feature Generator"
Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, and Wei Lin
DM1128"Counterfactual Augmentation of Attention Supervision"
Seungtaek Choi, Haeju Park, and Seung-won Hwang
DM1268"Dense Semantic Matching Network for Multi-turn Conversation"
Yongrui Li and Jun Yu
16:00 - 16:10Coffee Break
16:10 - 16:30Contest
16:30 - 17:30ICDM/ICBK 2019 Panel: Marketing Intelligence – Let Marketing Drive Efficiency and Innovation
17:30 - 17:50Closing Session