Regular Papers

Paper ID	Title	Author Names
DM206	Bi-Directional Causal Graph Learning through Low-rank Approximated Neural Network	Hao Huang, Chenxiao Xu, and Shinjae Yoo
DM217	Neural Embedding Propagation on Heterogeneous Networks	Carl Yang, Jieyu Zhang, and Jiawei Han
DM225	Generative Correlation Discovery Network for Multi-Label Learning	Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, and Yun Fu
DM262	Automatic Clustering by Detecting Significant Density Dips in Multiple Dimensions	Pantelis Chronis
DM266	Forest Distance Closeness Centrality in Disconnected Graphs	Jin Yujia, Bao Qi, and Zhang Zhongzhi
DM274	HierCon: Hierarchical Organization of Technical Documents based on Concepts	Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, and Xifeng Yan
DM275	Multi-Aspect Mining of Complex Sensor Sequences	Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, and Yasushi Sakurai
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
DM299	Efficient Data Representation by Selecting Prototypes with Importance Weights	Karthik Gurumoorthy, Amit Dhurandhar, Guillermo Cecchi, and Charu Aggarwal
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
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
DM340	Discovering Semantic Motifs in the Time Series	Shima Imani and Eamonn Keogh
DM346	An Efficient Policy Gradient Method for Conditional Dialogue Generation	Lei Cai and Shuiwang Ji
DM359	Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization	Atsushi Nitanda, Tomoya Murata, and Taiji Suzuki
DM373	Exploring Semantic Relationships for Image Captioning without Parallel Data	Fenglin Liu, Meng Gao, Tianhao Zhang, and Yuexian Zou
DM391	Adversarial Robustness of Similarity-Based Link Prediction	Kai Zhou, Tomasz Michalak, and Yevgeniy Vorobeychik
DM393	MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification	Monidipa Das, Mahardhika Pratama, Septiviana Savitri, and Zhang Jie
DM394	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation	Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, and Qinyong Wang
DM410	Privacy-Preserving Auto-Driving: a GAN-based Approach to Protect Vehicular Camera Data	Zuobin Xiong, Wei Li, Qilong Han, and Zhipeng Cai
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
DM418	XOR-based Boolean Matrix Decomposition	Jörg Wicker, Cathy Hua, Rayner Rebello, and Bernhard Pfahringer
DM420	Closed Form Word Embedding Alignment	Sunipa Dev, Safia Hassan, and Jeff M Phillips
DM443	Transfer Learning with Dynamic Adversarial Adaptation Network	Chaohui Yu, Jindong Wang, Yiqiang Chen, and Meiyu Huang
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
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
DM494	Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text	Oluwaseyi Feyisetan, Tom Diethe, and Thomas Drake
DM513	VSB-DVM: An End-to-end Bayesian Nonparametric Generalization of Deep Variational Mixture Model	Xi Yang, Yuyao Yan, Kaizhu Huang, and Rui Zhang
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
DM559	Discrete Overlapping Community Detection with Pseudo Supervision	Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, and Jeffrey Xu Yu
DM564	Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA	Qing Chen, Jianji Wang, Xuguang Lan, and Nanning Zheng
DM572	Cross-modal Zero-shot Hashing	Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, and Xiangliang Zhang
DM574	Discriminative Regularized Deep Generative Models for Semi-Supervised Learning	Qianqian Xie, Min Peng, and HUA WANG
DM577	Matching Novelty while Training: Novel Recommendation based on Personalized Pairwise Loss Weighting	Kachun Lo and Tsukasa Ishigaki
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
DM604	Self-Attentive Attributed Network Embedding Through Adversarial Learning	Wenchao Yu, Wei Cheng, Charu Aggarwal, Bo Zong, Haifeng Chen, and Wei Wang
DM630	Improving Spectral Clustering with Deep Embedding and Cluster Estimation	Liang Duan, Charu Aggarwal, Shuai Ma, and Saket Sathe
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
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
DM652	Adaptive Cognitive Activity Recognition with Reinforced Attentive CNN	Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, and Yunhao Liu
DM659	Machine Comprehension-Incorporated Relevance Matching	Chen Zhang, Hao Wang, Liang Zhou, Yijun Wang, and Can Chen
DM665	Performing Co-Membership Attacks Against Deep Generative Models	Kin Sum Liu, Chaowei Xiao, Bo Li, and Jie Gao
DM678	Tabular Cell Classification Using Pre-Trained Cell Embeddings	Majid Ghasemi-Gol, Jay Pujara, and Pedro Szekely
DM707	Mining Audio, Text and Visual Information for Talking Face Generation	Lingyun Yu and Jun Yu
DM715	Discriminatively Relabel for Partial Multi-Label Learning	Shuo He, Ke Deng, Li Li, and Senlin Shu
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
DM728	Supervised Class Distribution Learning for GANs-based Imbalanced Classification	Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, and Liping Jing
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, Kaixin Sui, Xu Zhang, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, and Dongmei Zhang
DM743	Temporal Self-Attention Network for Medical Concept Embedding	Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jiang Jing, and Michael Blumenstein
DM752	Reinforced Molecule Generation with Heterogeneous States	Fangzhou Shi, Shan You, and Chang Xu
DM767	Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification	Uchenna Akujuobi, Han Yufei, Qiannan Zhang, and Xiangliang Zhang
DM787	Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory	Subhabrata Dutta, Dipankar Das, and Tanmoy Chakraborty
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
DM808	Generalized Adversarial Training in Riemannian Space	Shufei Zhang, Kaizhu Huang, Rui Zhang, and Amir Hussain
DM832	Domain Knowledge Guided Deep Learning with Electronic Health Records	Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, and Ping Zhang
DM857	Exploiting Multi-domain Visual Information for Fake News Detection	Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li
DM867	Efficient Sketching Algorithm for Sparse Binary Data	Rameshwar Pratap, Debajyoti Bera, and Karthik Revanuru
DM882	Online Budgeted Least Squares with Unlabeled Data	Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, and Junming Shao
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
DM918	Generative Oversampling with a Contrastive Variational Autoencoder	Wangzhi Dai, Kenney Ng, Kristen Severson, Wei Huang, Fred Anderson, and Collin Stultz
DM924	Dataset Recommendation via Variational Graph Autoencoder	Basmah Altaf, Uchenna Akujuobi, Lu Yu, and Xiangliang Zhang
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
DM927	Discovering Subdimensional Motifs of Different Length in Large-Scale Multivariate Time Series	Yifeng Gao and Jessica Lin
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
DM951	Learning a Low-rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks	Zhuliu Li, Wei Zhang, R. Stephanie Huang, and Rui Kuang
DM968	Domain-Adversarial Graph Neural Networks for Text Classification	Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, and Lei Pan
DM999	Computing Optimal Assignments in Linear Time for Approximate Graph Matching	Nils M. Kriege, Pierre-Louis Giscard, Franka Bause, and Richard C. Wilson
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
DM1008	One-stage Deep Instrumental Variable Method for Causal Inference from Observational Data	Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, and Guangquan Zhang
DM1020	Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding	Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, and Bin Wang
DM1021	Rank-Based Multi-task Learning For Fair Regression	Chen Zhao and Feng Chen
DM1024	Boosted Trajectory Calibration for Traffic State Estimation	Xitong Zhang, Liyang Xie, Zheng Wang, and Jiayu Zhou
DM1032	Learning Dynamic Author Representations with Temporal Language Models	Edouard Delasalles, Sylvain Lamprier, and Ludovic Denoyer
DM1048	PERCeIDs: Periodic Community Detection	Lin Zhang, Alexander Gorovits, and Petko Bogdanov
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
DM1064	Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model	YUNSHI LAN, SHUOHANG WANG, and JING JIANG
DM1098	Towards Making Deep Transfer Learning Never Hurt	Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, and Jun Huan
DM1104	Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity	Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer Leopold, and Yanjie Fu
DM1105	Modeling Graphs with Vertex Replacement Grammars	Satyaki Sikdar, Justus Hibshman, and Tim Weninger
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
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
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
DM1119	Distribution of Node Embeddings as Multiresolution Features for Graphs	Mark Heimann, Tara Safavi, and Danai Koutra
DM1121	A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ride Sharing	Lihao Zhang, Zeyang Ye, Keli Xiao, and Bo Jin
DM1135	RiWalk: Fast Structural Node Embedding via Role Identification	Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, and Zhe Wang
DM1140	Collaborative Distillation for Top-N Recommendation	Jae-woong Lee, Minjin Choi, Jongwuk Lee, and Hyunjung Shim
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
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
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
DM1195	Learning to Sample: an Active Learning Framework	Jingyu Shao, Qing Wang, and Fangbing Liu
DM1213	Streaming Random Patches for Evolving Data Stream Classification	Heitor Murilo Gomes, Jesse Read, and Albert Bifet
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
DM1296	Interpretable Feature Learning of Graphs using Tensor Decomposition	Shah Muhammad Hamdi and Rafal Angryk
DM1300	CUDA: Contradistinguisher for Unsupervised Domain Adaptation	Sourabh Balgi and Ambedkar Dukkipati

Short Papers

Paper ID	Title	Author Names
DM205	Deep Embedded Cluster Tree	Dominik Mautz, Claudia Plant, and Christian Böhm
DM227	Fast Sparse Coding Inference with Historical Information	Zhenchang Zhang, Fei Jiang, and Ruimin Shen
DM236	KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction	Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, and Qinghua Zheng
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
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, and Xing Xie
DM317	Scene Text Recognition with Auto-Aligned Recurrent Feature Generator	Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, and Wei Lin
DM323	Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets	Kaveh Kamgar, Shaghayegh Gharghabi, and Eamonn Keogh
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
DM342	Leaning Local and Global Multi-Context Representations for Document Classification	Yi Liu, Hao Yuan, and Shuiwang Ji
DM376	Intervention-Aware Early Warning	Dhivya Eswaran, Christos Faloutsos, Nina Mishra, and Yonatan Naamad
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
DM405	Transfer Metric Learning for Unseen Domains	Atsutoshi Kumagai, Tomoharu Iwata, and Yasuhiro Fujiwara
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
DM432	Spatio-Temporal GRU for Trajectory Classication	Hongbin Liu, Hao Wu, Weiwei Sun, and Ickjai Lee
DM445	Constrained Matrix Factorization for Course Score Prediction	Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, and Jian-Huang Lai
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
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
DM491	Admiring: Adversarial Multi-Network Mining	Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, and Hanghang Tong
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
DM526	Collaborative Label Correction via Entropy Thresholding	Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, and Yanfeng Wang
DM541	Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking	Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, and Philip Yu
DM544	Fair Adversarial Gradient Tree Boosting	Vincent Grari, Boris Ruf, Sylvain Lamprier, and Marcin Detyniecki
DM580	Iterative Graph Alignment via Supermodular Approximation	Aritra Konar and Nicholas D. Sidiropoulos
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
DM587	Generation of Low Distortion Adversarial Attacks via Convex Programming	Tianyun Zhang, Sijia Liu, Yanzhi Wang, and Makan Fardad
DM593	Efficient Bayesian Optimization for Uncertainty Reduction over Perceived Optima Locations	Vu Nguyen, Sunil Gupta, Santu Rana, My Thai, Cheng Li, and Svetha Venkatesh
DM607	VASE: A Twitter-based Vulnerability Analysis and Score Engine	Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, and VS Subrahmanian
DM610	Nearest Neighbor Classifiers versus Random Forests and Support Vector Machines	Saket Sathe and Charu Aggarwal
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
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
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
DM624	User Response Driven Content Understanding with Causal Inference	Fei Tan, Zhi Wei, Abhishek Pani, and Zhenyu Yan
DM628	Quantized Adversarial Training: An Iterative Quantized Local Search Approach	Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, and Pan Li
DM642	Recognizing Variables from their Data via Deep Embeddings of Distributions	Jonas Mueller and Alexander Smola
DM644	An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction	Farid Razzak, Fei Yi, Yang Yang, and Hui Xiong
DM653	Senti2Pop: Sentiment-Aware Topic Popularity Prediction on Social Media	Jinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, and Guihai Chen
DM657	From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering	Hui Yan, Siyu Liu, and Philip Yu
DM662	First Index-Free Manifold Ranking-based Image Retrieval with Output Bound	Dandan Lin, Victor Junqiu Wei, and Raymond Chi Wing Wong
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
DM693	Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics	Qiwei Zhong, Jiayu Tang, Jinghua Feng, and Jianfeng Chi
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
DM699	Dynamic News Recommendation with Hierarchical Attention Network	Hui Zhang, Xu Chen, and Shuai Ma
DM704	EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees	Jaemin Yoo and Lee Sael
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
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
DM797	Adaptive teacher-and-student model for heterogeneous domain adaptation	Yunyun Wang, Xuzhang Chen, Songcan Chen, and Hui Xue
DM826	Session-based Recommendation with Local Invariance	Tianwen Chen and Raymond Chi Wing Wong
DM848	Collective Protection: Preventing Sensitive Inferences via Integrative Transformation	Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, and Sen Wang
DM861	A Wasserstein Subsequence Kernel for Time Series	Christian Bock, Matteo Togninalli, Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, and Karsten Borgwardt
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
DM896	Permutation Strategies for Mining Significant Sequential Patterns	Andrea Tonon and Fabio Vandin
DM900	Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering	Youwei Liang, Dong Huang, and Chang-Dong Wang
DM909	Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory	Ajay Tripathi and Benjamin Domingue
DM928	What is the value of experimentation & measurement?	C. H. Bryan Liu and Benjamin Paul Chamberlain
DM936	Discovering Reliable Correlations in Categorical Data	Panagiotis Mandros, Mario Boley, and Jilles Vreeken
DM948	Efficient Mining and Exploration of Multiple Axis-aligned Intersecting Objects	Tilemachos Pechlivanoglou, Vincent Chu, and Manos Papagelis
DM974	Network Identification and Authentication	Shengmin Jin, Vir Phoha, and Reza Zafarani
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
DM978	Discovering Robustly Connected Subgraphs with Simple Descriptions	Janis Kalofolias, Mario Boley, and Jilles Vreeken
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
DM981	Space-efficient Feature Maps for Scalable Alignment Kernels	Yasuo Tabei, Yoshihiro Yamanishi, and Rasmus Pagh
DM996	MTEX-CNN: Multivariate Time series EXplanations for Predictions with Convolutional Neural Networks	Roy Assaf, Ioana Giurgiu, Frank Bagehorn, and Anika Schumann
DM997	Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning	Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu
DM1007	Scalable Explanation of Inferences on Large Graphs	Chao Chen, Yifei Liu, Xi Zhang, and Sihong Xie
DM1015	Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers	Huihui Wang, Shunmei Meng, Jinbiao Yu, and Jing Zhang
DM1028	Mining Maximal Clique Summary with Effective Sampling	Xiaofan Li, Rui Zhou, Yujun Dai, Lu Chen, Chengfei Liu, Qiang He, and Yun Yang
DM1035	Personalized Neural Usefulness Network for Rating Prediction	Qianqian Wang and Min Zhang
DM1041	A Factorized Version Space Algorithm for “Human-In-the-Loop” Data Exploration	Luciano Di Palma, Yanlei Diao, and Anna Liu
DM1054	Relation Structure-Aware Heterogeneous Graph Neural Network	Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, and Bin Wang
DM1056	TMDA: Task-Specific Multi-Source Domain Adaptation via Clustering Embedded Adversarial Training	Haotian Wang, Wenjing Yang, Zhipeng Lin, and Yue Yu
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
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
DM1087	Deep-Aligned Convolutional Neural Network for Skeleton-based Action Recognition and Segmentation	Babak Hosseini, Barbara Hammer, and Romain Montagne
DM1093	Semi-supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images	Kazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, and Jiang Li
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, and Enhong Chen
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
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
DM1128	Counterfactual Augmentation of Attention Supervision	Seungtaek Choi, Haeju Park, and Seung-won Hwang
DM1132	Set Your Clock: Optimal Timeline for Network Processes	Daniel DiTursi, Carolyn Kaminski, and Petko Bogdanov
DM1141	On the Robust Splitting Criterion of Random Forest	Binbin Yang, Wei Gao, and Ming Li
DM1149	Multi-Graph Convolution Collaborative Filtering	Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, and Xiuqiang He
DM1156	ChainNet: Learning on Blockchain Graphs with Topological Features	Ceren Abay, Umar Islambekov, Cuneyt Akcora, Yulia Gel, Murat Kantarcioglu, Yahui Tian, and Bhavani Thuraisingham
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
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
DM1188	Efficient Approximate Solution Path Algorithm for Order Weight $L_{1}$-Norm with Accuracy Guarantee	Runxue Bao, Bin Gu, and Heng Huang
DM1193	A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning	Pengzhan Guo, Zeyang Ye, and Keli Xiao
DM1199	A Model-Agnostic Approach for Explaining the Predictions on Clustered Data	Zihan Zhou, Mingxuan Sun, and Jianhua 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
DM1217	An Arm-wise Randomization Approach to Combinatorial Linear Semi-bandits	Kei Takemura and Shinji Ito
DM1218	CSNN: Contextual Sentiment Neural Network	Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, and Tatsuo Yamashita
DM1222	Discovering Relevant Reviews for Answering Product-related Queries	Shiwei Zhang, JeyHan Lau, Xiuzhen Zhang, Jeffrey Chan, and Cecile Paris
DM1228	Unsupervised Qualitative Scoring for Binary Item Feature	Koji Ichikawa and Hiroshi Tamano
DM1259	Block-Structured Optimization for Subgraph Detection in Interdependent Networks	Fei Jie, Chunpai Wang, Feng Chen, Lei Li, and Xindong Wu
DM1262	Triple-shapelet Networks for Time Series Classification	Qianli Ma, Wanqing Zhuang, and Garrison Cottrell
DM1268	Dense Semantic Matching Network for Multi-turn Conversation	Yongrui Li and Jun Yu