List of Accepted Papers

Regular Papers

Paper ID Title Author Names
DM226 Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features Junxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, and Liang Zhao
DM230 Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights Carl Yang, Yichen Feng, Pan Li, Yu Shi, and Jiawei Han
DM232 A blended deep learning approach for predicting user intended actions Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, and Zhenyu Yan
DM242 GINA: Group Gender Identification Using Privacy-Sensitive Audio Data Jiaxing Shen, Oren Lederman, Jiannong Cao, Florian Berg, Shaojie Tang, and Alex Pentland
DM243 Online Dictionary Learning with Confidence Shan You, Chang Xu, and Chao Xu
DM248 TADA: Trend Alignment with Dual-Attention Multi-Task Recurrent Neural Networks for Sales Prediction Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, and Xue Li
DM255 Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang, Peng Cui, Haoyang Li, Xiao Wang, and Wenwu Zhu
DM279 SCRIMP++: Motif Discovery at Interactive Speeds Yan Zhu, Chin-Chia Michael Yeh, Zachary Zimmerman, Kaveh Kamgar, and Eamonn Keogh
DM300 Privacy-Preserving Temporal Record Linkage Thilina Ranbaduge and Peter Christen
DM328 Network Kronecker Hull Shengmin Jin and Reza Zafarani
DM334 dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, and Alex D. Leow
DM342 Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach Qingxin Meng, Hengshu Zhu, Keli Xiao, and Hui Xiong
DM350 Utilizing In-Store Sensors for Revisit Prediction Sundong Kim and Jae-Gil Lee
DM378 Deep Headline Generation for Clickbait Detection Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, and Huan Liu
DM423 Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, and Hongtu Zhu
DM447 Deep Semantic Correlation Learning based Hashing for Multimedia Cross-Modal Retrieval Xiaolong Gong, Linpeng Huang, and Fuwei Wang
DM456 Probabilistic Streaming Tensor Decomposition Yishuai Du, Yimin Zheng, Kuang-chih Lee, and Shandian Zhe
DM464 Self-Attentive Sequential Recommendation Wang-Cheng Kang and Julian McAuley
DM468 Fast Rectangle Counting on Massive Networks Rong Zhu, Zhaonian Zou, and Jianzhong Li
DM470 Bug Localization via Supervised Topic Modeling Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, and Jian lu
DM476 Social Recommendation with Missing Not at Random Data Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, and Chun Chen
DM483 Collective Human Behavior in Cascading System: Discovery, Modeling and Applications Yunfei Lu, Linyun Yu, Tianyang Zhang, Chengxi Zang, Peng Cui, Chaoming Song, and Wenwu Zhu
DM512 DipTransformation: Enhancing the Structure of a Dataset and thereby improving Clustering Benjamin Schelling and Claudia Plant
DM526 ResumeNet: A Learning-based Framework for Automatic Resume Quality Assessment Yong Luo, Huaizheng Zhang, Yongjie Wang, Yonggang Wen, and Xinwen Zhang
DM528 Synthetic oversampling with the majority class: A new perspective on handling extreme imbalance Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Nathalie Japkowicz, and Osmar Zaïane
DM529 A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, and Na Wang
DM537 Interactive Unknowns Recommendation in E-Learning Systems Shan-Yun Teng, Jundong Li, Lo-Pang-Yun Ting, Kun-Ta Chuang, and Huan Liu
DM541 Defending against Adversarial Samples without Security through Obscurity Paper: Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xin, Lin Lin, Sui Huang, Xue Liu, and C. Lee Giles
DM547 SSDMV: Semi-supervised Deep Social Spammer Detection by Multi-View Data Fusion Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, and Zhoujun Li
DM551 Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis Sikun Yang and Heinz Koeppl
DM571 Human-Centric Urban Transit Evaluation and Planning Guojun Wu, Yanhua Li, Jie Bao, Yu Zheng, Jieping Ye, and Jun Luo
DM575 MuVAN: A Multi-view Attention Network for Multivariate Temporal Data Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, and Aidong Zhang
DM584 CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, and Bo Jin
DM588 Cross-Domain Labeled LDA for Text Classification Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, and Cheng Niu
DM611 SINE: Scalable Incomplete Network Embedding Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang
DM668 Accelerating Experimental Design by Incorporating Experimenter Hunches Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin, Teo Slezak, Murray Height, Mazher mohammed, and Ian gibson
DM669 Collaborative Translational Metric Learning Chanyoung Park, Donghyun Kim, Xing Xie, and Hwanjo Yu
DM672 Prerequisite-Driven Deep Knowledge Tracing Penghe CHEN, Yu LU, Vincent Zheng, and Yang Bian
DM701 Enhancing Very Fast Decision Trees with Local Split-Time Predictions Viktor Losing, Heiko Wersing, and Barbara Hammer
DM702 Summarizing Network Processes with Network-constrained Binary Matrix Factorization Furkan Kocayusufoğlu, Minh Hoang, and Ambuj Singh
DM710 Multi-Label Answer Aggregation based on Joint Matrix Factorization Jinzheng Tu, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Guoqiang Xiao, and Maozu Guo
DM713 Explainable time series tweaking via irreversible and reversible temporal transformations Isak Karlsson, Jonathan Rebane, Panagiotis Papapetrou, and Aristides Gionis
DM714 Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation Si-Yu Ding, Xu-Ying Liu, and Min-Ling Zhang
DM721 Tell me something my friends do not know: Diversity maximization in social networks Antonis Matakos and Aristides Gionis
DM724 Sequential Pattern Sampling with Norm Constraints Lamine Diop, Cheikh Talibouya Diop, Arnaud Giacometti, Dominique Li, and Arnaud Soulet
DM725 Fast Single-Class Classification and the Principle of Logit Separation Gil Keren, Sivan Sabato, and Björn Schuller
DM726 Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, and Chang-Tien Lu
DM727 ProSecCo: Progressive Sequence Mining with Convergence Guarantees Sacha Servan-Schreiber, Matteo Riondato, and Emanuel Zgraggen
DM728 Independent Feature and Label Components for Multi-label Classification Yong-Jian Zhong, Chang Xu, Bo Du, and Lefei Zhang
DM730 Multi-Label Learning with Label Enhancement Ruifeng Shao, Ning Xu, and Xin Geng
DM732 Semi-supervised anomaly detection with an application to water analytics Vincent Vercruyssen, Wannes Meert, Gust Verbruggen, Koen Maes, Ruben Bäumer, and Jesse Davis
DM739 Zero-Shot Learning: An Energy based Approach Tianxiang Zhao, Guiquan Liu, Le Wu, and Chao Ma
DM777 Deep Structure Learning for Fraud Detection Haibo Wang, Chuan Zhou, Jia Wu, Weizhen Dang, Xingquan Zhu, and Jilong Wang
DM779 Local Low-Rank Hawkes Processes for Temporal User-Item Interactions Jin Shang and Mingxuan Sun
DM834 Robust Cascade Reconstruction by Steiner Tree Sampling Han Xiao, Cigdem Aslay, and Aristides Gionis
DM843 Finding events in temporal networks: Segmentation meets densest-subgraph discovery Polina Rozenshtein, Francesco Bonchi, Aristides Gionis, Mauro Sozio, and Nikolaj Tatti
DM862 Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms Panagiotis Mandros, Mario Boley, and Jilles Vreeken
DM867 ASTM: An Attentional Segmentation based Topic Model for Short Texts Jiamiao Wang, Ling Chen, Lu Qin, and Xindong Wu
DM873 Multi-task Sparse Metric Learning on Measuring Patient Similarity Progression Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, and Aidong Zhang
DM884 Learning Sequential Behavior Representations for Fraud Detection Jia Guo, Guannan Liu, Yuan Zuo, and Junjie Wu
DM887 Image-Enhanced Multi-Level Sentence Representation Net for Natural Language Inference Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, and Han Wu
DM891 Towards Interpretation of Recommender Systems with Sorted Explanation Paths Fan Yang, Ninghao Liu, Suhang Wang, and Xia Hu
DM914 Dr. Right+: Embedding-based Adaptively-weighted Mixture Model for Finding Right Doctors with Healthcare Experience Data Xin Xu, Minghao Yin, Haoyi Xiong, Bo Jin, and Yanjie Fu
DM921 DE-RNN: Forecasting the probability density function of nonlinear time series Kyongmin Yeo, Igor Melnyk, and Nam Nguyen
DM937 The Impact of Environmental Stressors on Human Trafficking Sabina Tomkins, Golnoosh Farnadi, Brian Amanatullah, Lise Getoor, and Steven Minton
DM970 SuperPart: Supervised graph partitioning for record linkage Russell Reas, Stephen Ash, Robert Barton, and Andrew Borthwick
DM980 LEEM: Lean Elastic EM for Gaussian Mixture Model via Bounds-Based Filtering Shuai Yang and Xipeng Shen
DM986 Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network Xi Zhang, Jingyuan Chou, and Fei Wang
DM1003 EDLT: Enabling Deep Learning for Generic Data Classification Huimei Han, Xingquan Zhu, and Ying Li
DM1013 Chinese Medical Concept Normalization by Using Text and Comorbidity Network Embedding Yizhou Zhang, Xiaojun Ma, and Guojie Song
DM1029 Learning Community Structure with Variational Autoencoder Jun Jin Choong, Xin Liu, and Tsuyoshi Murata
DM1043 A United Approach to Learning Sparse Attributed Network Embedding Hao Wang, Enhong Chen, Qi Liu, Tong Xu, and Dongfang Du
DM1049 A Reinforcement Learning Framework for Explainable Recommendation Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, and Xing Xie
DM1055 Hierarchical Hybrid Feature Model For Top-N Context-Aware Recommendation Yingpeng Du, Hongzhi Liu, Zhonghai Wu, and Xing Zhang
DM1067 Realization of Random Forest for Real-Time Evaluation through Tree Framing Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, and Katharina Morik
DM1070 On Multi-Query Local Community Detection Yuchen Bian, Yaowei Yan, Wei Cheng, Wei Wang, Dongsheng Luo, and Xiang Zhang
DM1073 A Low Rank Weighted Graph Convolutional Approach to Weather Prediction Tyler Wilson, Pang-Ning Tan, and Lifeng Luo
DM1111 Deep Learning based Scalable Inference of Uncertain Opinions Xujiang Zhao, Feng Chen, and Jin-Hee Cho
DM1121 Concept Mining via Embedding Keqian Li, Hanwen Zha, Yu Su, and Xifeng Yan
DM1124 Exploiting Topic-based Adversarial Neural Network for Cross-domain Keyphrase Extraction Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, and Hui Xiong
DM1155 Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining Zhouyuan Huo and Heng Huang
DM1159 apk2vec: Semi-supervised multi-view representation learning for profiling Android applications CHARLIE SOH, ANNAMALAI NARAYANAN, LIHUI CHEN, YANG LIU, and LIPO WANG
DM1169 Dynamic Truth Discovery on Numerical Data Shi Zhi, Fan Yang, Zheyi Zhu, Qi Li, Zhaoran Wang, and Jiawei Han
DM1174 Adversarially Learned Anomaly Detection Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, and Vijay Chandrasekhar

Short Papers

Paper ID Title Author Names
DM246 TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks Xinyue Liu, Xiangnan Kong, Lei Liu, and Kuorong Chiang
DM252 An Ultra-Fast Time Series Distance Measure to allow Data Mining in more Complex Real-World Deployments Shaghayegh Gharghabi, Shima Imani, Anthony Bagnall, Amirali Darvishzadeh, and Eamonn Keogh
DM254 Coherent Graphical Lasso for Brain Network Discovery Hang Yin, Xinyue Liu, and Xiangnan Kong
DM272 An Integrated Model for Crime Prediction Using Temporal and Spatial Factors Fei Yi, Zhiwen Yu, Fuzhen Zhuang, Xiao Zhang, Bin Guo, and Hui Xiong
DM274 Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, and Ming-Syan Chen
DM277 SedanSpot: Detecting Anomalies in Edge Streams Dhivya Eswaran and Christos Faloutsos
DM278 Sparse Non-Linear CCA through Hilbert-Schmidt Independence Criterion Viivi Uurtio, Sahely Bhadra, and Juho Rousu
DM287 Similarity-based Active Learning for Image Classification under Class Imbalance Chuanhai Zhang, Wallapak Tavanapong, Gavin Kijkul, Johnny Wong, Piet C. de Groen, and JungHwan Oh
DM292 Forecasting Wavelet Transformed Time Series with Attentive Neural Networks Yi Zhao, Yanyan SHEN, Yanmin Zhu, and Junjie Yao
DM293 The HyperKron Graph Model for higher-order features Nicole Eikmeier, Arjun Ramani, and David Gleich
DM298 Partial Multi-View Clustering via Consistent GAN Qianqian Wang, Zhengming Ding, ZHIQIANG TAO, Quanxue Gao, and Yun Fu
DM299 Clustered Lifelong Learning via Representative Task Selection Gan Sun, Yang Cong, Yu Kong, and Xiaowei Xu
DM304 A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection Ling Huang, Chang-Dong Wang, and Hong-Yang Chao
DM311 Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs Yewang chen, Da Li, and Nizar Bouguila
DM322 DrugCom: Synergistic Discovery of Drug Combinations using Tensor Decomposition Huiyuan Chen and Jing Li
DM345 Multi-View Feature Selection Plus Multi-View Discriminant Analysis: A Complete Multi-View Fisher Discriminant Framework for Heterogeneous Face Recognition Jie Gui and Ping Li
DM356 Volatility Drift Prediction for Transactional Data Streams Yun Sing Koh, David Tse Jung Huang, Chris Pearce, and Gillian Dobbie
DM391 Robust Distributed Anomaly Detection using Optimal Weighted One-class Random Forests Yu-Lin Tsou, Hong-Min Chu, Cong Li, and Shao-Wen Yang
DM419 Distribution Preserving Multi-Task Regression for Spatio-Temporal Data Xi Liu, Pang-Ning Tan, Zubin Abraham, Lifeng Luo, and Pouyan Hatami
DM443 An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains Weishi Shi and Qi Yu
DM445 DeepDiffuse: Predicting the 'Who' and 'When' in Cascades Mohammad R Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, and Naren Ramakrishnan
DM446 Spatial Contextualization for Closed Itemset Mining Altobelli Mantuan and Leandro Fernandes
DM458 A Machine Reading Comprehension-based Approach for Featured Snippet Extraction Chen Zhang, Xuanyu Zhang, and Hao Wang
DM462 A General Cross-domain Recommendation Framework via Bayesian Neural Network Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, and Qing He
DM482 Heterogeneous Data Integration by Learning to Rerank Schema Matches Avigdor Gal, Haggai Roitman, and Roee Shraga
DM492 Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation Huifang Ma, Di Zhang, Weizhong Zhao, Yanru Wang, and Zhongzhi Shi
DM493 Time Series Classification via Manifold Partition Learning Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, and Guangju Peng
DM502 Exploiting the Sentimental Bias between Ratings and Reviews for Enhancing Recommendation Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, and Hui Xiong
DM504 DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran, Ngai-Man Cheung, Gemma Roig, and Yuval Elovici
DM511 Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem Yi-Hsun Liu, Chien-Liang Liu, and Vincent Tseng
DM516 Diagnosis Prediction via Medical Context Attention Networks Using Deep Generative Modeling Wonsung Lee, Sungrae Park, Weonyoung Joo, and Il-Chul Moon
DM531 eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors Houping Xiao, Fei Wang, Fenglong Ma, and Jing Gao
DM536 Predicted Edit Distance Based Clustering of Gene Sequences Sakti Pramanik, AKM Tauhidul Islam, and Shamik Sural
DM542 DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora Robert Giaquinto and Arindam Banerjee
DM556 Record2Vec: Unsupervised Representation Learning for Structured Records Adelene Sim and Andrew Borthwick
DM570 TIMBER: A Framework for Mining Inventories of Individual Trees in Urban Environments using Remote Sensing Datasets Yiqun Xie, Han Bao, Shashi Shekhar, and Joseph Knight
DM578 Deep Heterogeneous Autoencoder for Collaborative Filtering Tianyu Li, Yukun Ma, Jiu Xu, Bjorn Stenger, Chen Liu, and Yu Hirate
DM595 EPAB: Early Pattern Aware Bayesian Model for Social Content Popularity Prediction Qitian Wu, Chaoqi Yang, Xiaofeng Gao, Peng He, and Guihai Chen
DM601 DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition Tie-Qiang Wang and Cheng-Lin Liu
DM610 Superlinear Convergence of Randomized Block Lanczos Algorithm Qiaochu Yuan, Ming Gu, and Bo Li
DM613 Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang, Ji Wang, Lifang He, Zhao Li, and Philip S. Yu
DM614 Cost Effective Multi-label Active Learning via Querying Subexamples Xia Chen, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhao Li, and Zili Zhang
DM615 Multiple Co-Clusterings Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, and Zili Zhang
DM633 Query-Efficient Black-Box Attack by Active Learning Pengcheng Li, Jinfeng Yi, and Lijun Zhang
DM642 Robust Densest Subgraph Discovery Atsushi Miyauchi and Akiko Takeda
DM652 Learning Semantic Features for Software Defect Prediction by Code Comments Embedding Xuan Huo, Yang Yang, Ming Li, and De-Chuan Zhan
DM654 Exploiting Spatio-Temporal Correlations with Multiple 3D Convolutional Neural Networks for Citywide Vehicle Flow Prediction Cen Chen, Kenli Li, Guizi Chen, Singee Teo, Xiaofeng Zou, Xulei Yang, Vijay Chandrasekhar, and Zeng Zeng
DM664 Unsupervised User Identity Linkage via Factoid Embedding Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, and Ee Peng Lim
DM665 Uncluttered Domain Sub-similarity Modeling for Transfer Regression PENGFEI WEI, RAMON SAGARNA, Yiping Ke, and Yew Soon Ong
DM675 Confident Kernel Sparse Coding and Dictionary Learning Babak Hosseini and Barbara Hammer
DM682 Online CP Decomposition for Sparse Tensors Shuo Zhou, Sarah Erfani, and James Bailey
DM694 A Variable-Order Regime Switching Model to Identify Significant Patterns in Financial Markets Philippe Chatigny, Rongbo Chen, Jean-Marc Patenaude, and Shengrui Wang
DM706 Heterogeneous Embedding Propagation for Large-scale E-Commerce User Alignment Vincent W Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, and Kevin Chang
DM718 Enhancing Question Understanding and Representation for Knowledge Base Relation Detection Zihan Xu, Haitao Zheng, Zuoyou Fu, and Wei Wang
DM723 Finding Maximal Significant Linear Representation between Long Time Series Jiaye Wu, Yang Wang, Peng Wang, Jian Pei, and Wei Wang
DM745 Demographic Inference via Knowledge Transfer in Cross-Domain Recommender Systems Jin Shang, Mingxuan Sun, and Kevyn Collins-Thompson
DM748 Accurate Causal Inference on Discrete Data Kailash Budhathoki and Jilles Vreeken
DM752 HHNE: Heterogeneous Hyper-Network Embedding Inci M Baytas, Cao Xiao, Fei Wang, Anil K. Jain, and Jiayu Zhou
DM763 Outlier Detection in Urban Traffic Flow Distributions Youcef Djenouri, Arthur Zimek, and Marco Chiarandini
DM767 Multi-Label Adversarial Perturbations Qingquan Song, Haifeng Jin, Xiao Huang, and Xia Hu
DM778 FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation Fei Jiang, Lei Zheng, Jin Xu, and Philip S. Yu
DM803 Evaluating Top-k Meta Path Queries on Large Heterogeneous Information Networks Zichen Zhu, Reynold Cheng, Loc Do, Zhipeng Huang, and Haoci Zhang
DM809 Entire regularization path for sparse nonnegative interaction model Mirai Takayanagi, Yasuo Tabei, and Hiroto Saigo
DM818 Active Learning on Heterogeneous Information Networks: A Multi-armed Bandit Approach Doris Xin, Ahmed El-Kishky, De Liao, Brandon Norick, and Jiawei Han
DM823 Next Point-of-Interest Recommendation with Temporal and Multi-level Context Attention Ranzhen Li, Yanyan SHEN, and Yanmin Zhu
DM833 Time Discounting Convolution for Event Sequences with Ambiguous Timestamps Takayuki Katsuki, Takayuki Osogami, Masaki Ono, Akira Koseki, Michiharu Kudo, Masaki Makino, and Atsushi Suzuki
DM851 Maximizing the diversity of exposure in a social network Cigdem Aslay, Antonis Matakos, Esther Galbrun, and Aristides Gionis
DM852 Clustering on Sparse Data in Non-Overlapping Feature Space with Applications to Cancer Subtyping Tianyu Kang, Kourosh Zarringhalam, Marieke Kuijjer, John Quackenbush, and Wei Ding
DM860 Semi-Supervised Community Detection Using Structure and Size Arjun Bakshi, Srinivasan Parthasarathy, and Kannan Srinivasan
DM863 Differentially Private Prescriptive Analytics Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, and Svetha Venkatesh
DM864 Binarized Attributed Network Embedding Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, and Chengqi Zhang
DM876 Interpretable Word Embeddings For Medical Domain Kishlay Jha, Yaqing Wang, Guangxu Xun, and Aidong Zhang
DM911 Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, and Enhong Chen
DM916 Neural Sentence-level Sentiment Classification with Heterogeneous Supervision Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, and Xing Xie
DM927 Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization Qi Wang, Pang-Ning Tan, and Jiayu Zhou
DM928 Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Zheng Sheng, and Xue Li
DM948 Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation Yun He, Haochen Chen, Ziwei Zhu, and James Caverlee
DM968 A Knowledge-Enhanced Deep Recommendation Framework Incorporating GAN-based Models Deqing Yang, Zikai Guo, Ziyi Wang, Junyang Jiang, Yanghua Xiao, and Wei Wang
DM977 Fast Tucker Factorization for Large-Scale Tensor Completion Dongha Lee, Jaehyung Lee, and Hwanjo Yu
DM994 Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing Sein Minn, Yi Yu, Michel Desmarais, Feida Zhu, and Jill-Jenn Vie
DM1002 Transfer Hawkes Processes with Content Information Tianbo Li, Pengfei Wei, and Yiping Ke
DM1008 Estimating Latent Relative Labeling Importances for Multi-Label Learning Shuo He, Lei Feng, and Li Li
DM1024 Doc2Cube: Automated Document Allocation to Text Cube via Dimension-Aware Joint Embedding Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance Kaplan, and Jiawei Han
DM1026 Adaptive Affinity Learning for Accurate Community Detection Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, and Zibin Zheng
DM1028 Graph Pattern Mining and Learning through User-defined Relations Carlos Teixeira, Leonardo Cotta, Bruno Ribeiro, and Wagner Meira Jr.
DM1031 Multi-level hypothesis testing for populations of heterogeneous networks Guilherme Gomes, Jennifer Neville, and Vinayak Rao
DM1037 Text segmentation on multilabel documents: A distant supervised approach Saurav Manchanda and George Karypis
DM1040 T2S: Domain Adaptation via Model-independent Inverse Mapping and Model Reuse Zhi-Yu Shen and Ming Li
DM1048 Feature-induced Partial Multi-label Learning Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, and Xindong Wu
DM1050 Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes Jayesh Choudhari, Anirban Dasgupta, Indrajit Bhattacharya, and Srikanta Bedathur
DM1082 Density-adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, and Pengwei Wang
DM1099 Improving Deep Forest by Confidence Screening Ming Pang, Kai Ming Ting, Peng Zhao, and Zhi-Hua Zhou
DM1126 Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion Cole Hawkins and Zheng Zhang
DM1127 Robust Regression via Online Feature Selection under Adversarial Data Corruption Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu
DM1128 A Unified Theory and the Solution of the Mobile Sequential Recommendation Problem Zeyang Ye, Keli Xiao, and Yuefan Deng
DM1136 NetGist: Learning to generate task-based network summaries Sorour E. Amiri, Bijaya Adhikari, Aditya Bharadwaj, and B. Aditya Prakash
DM1148 Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification based on Instance Hardness Ahmedul Kabir, Carolina Ruiz, and Sergio Alvarez
DM1163 Bitcoin Volatility Forecasting with A Glimpse into Buy and Sell Orders Tian Guo, Albert Bifet, and Nino Antulov-Fantulin
DM1173 A Self-Organizing Tensor Architecture for Multi-View Clustering Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, and Fei Wang
DM1182 Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, and Hongbin Shen
DM1183 D-CARS: A Declarative Context-Aware Recommender System Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, and Zhifeng Bao
DM1196 Signed Graph Convolutional Network Tyler Derr and Jiliang Tang
DM1200 Using Balancing Terms to Avoid Discrimination in Classification Simon Enni and Ira Assent
DM1210 Privacy-Preserving Multi-Task Learning Kunpeng Liu, Nitish Uplavikar, Wei Jiang, and Yanjie Fu