| 2019 | 2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019 Jianyong Wang, Kyuseok Shim, Xindong Wu |
| 2019 | A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Deraining. Yanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang |
| 2019 | A Distributed Fair Machine Learning Framework with Private Demographic Data Protection. Hui Hu, Yijun Liu, Zhen Wang, Chao Lan |
| 2019 | A Factorized Version Space Algorithm for "Human-In-the-Loop" Data Exploration. Luciano Di Palma, Yanlei Diao, Anna Liu |
| 2019 | A Model-Agnostic Approach for Explaining the Predictions on Clustered Data. Zihan Zhou, Mingxuan Sun, Jianhua Chen |
| 2019 | A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for Ridesharing. Lihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin |
| 2019 | A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang |
| 2019 | A Wasserstein Subsequence Kernel for Time Series. Christian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt |
| 2019 | A Weighted Aggregating SGD for Scalable Parallelization in Deep Learning. Pengzhan Guo, Zeyang Ye, Keli Xiao |
| 2019 | ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | ADMIRING: Adversarial Multi-network Mining. Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong |
| 2019 | AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset Recommendation. Yujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang |
| 2019 | 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, Xiang Zhang |
| 2019 | Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang |
| 2019 | Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue |
| 2019 | Adversarial Robustness of Similarity-Based Link Prediction. Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik |
| 2019 | Aftershock Detection with Multi-scale Description Based Neural Network. Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu |
| 2019 | 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 |
| 2019 | An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits. Kei Takemura, Shinji Ito |
| 2019 | An Efficient Policy Gradient Method for Conditional Dialogue Generation. Lei Cai, Shuiwang Ji |
| 2019 | An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data Perspective. Chuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou |
| 2019 | An Integrated Multimodal Attention-Based Approach for Bank Stress Test Prediction. Farid Razzak, Fei Yi, Yang Yang, Hui Xiong |
| 2019 | Automatic Clustering by Detecting Significant Density Dips in Multiple Dimensions. Pantelis Chronis, Spiros Athanasiou, Spiros Skiadopoulos |
| 2019 | Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural Network. Changchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng |
| 2019 | Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK Contest. Xindong Wu, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang |
| 2019 | Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and Complementarity. Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu |
| 2019 | Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural Network. Hao Huang, Chenxiao Xu, Shinjae Yoo |
| 2019 | Block-Structured Optimization for Anomalous Pattern Detection in Interdependent Networks. Fei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu |
| 2019 | Boosted Trajectory Calibration for Traffic State Estimation. Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou |
| 2019 | 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 |
| 2019 | CSNN: Contextual Sentiment Neural Network. Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita |
| 2019 | CUDA: Contradistinguisher for Unsupervised Domain Adaptation. Sourabh Balgi, Ambedkar Dukkipati |
| 2019 | ChainNet: Learning on Blockchain Graphs with Topological Features. Nazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani Thuraisingham |
| 2019 | Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural Network. Xiaoyu Li, Buyue Qian, Jishang Wei, An Li, Xuan Liu, Qinghua Zheng |
| 2019 | Closed Form Word Embedding Alignment. Sunipa Dev, Safia Hassan, Jeff M. Phillips |
| 2019 | Collaborative Distillation for Top-N Recommendation. Jae-woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim |
| 2019 | Collaborative Graph Walk for Semi-Supervised Multi-label Node Classification. Uchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang |
| 2019 | Collaborative Label Correction via Entropy Thresholding. Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang |
| 2019 | Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang |
| 2019 | Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu |
| 2019 | Computing Optimal Assignments in Linear Time for Approximate Graph Matching. Nils M. Kriege, Pierre-Louis Giscard, Franka Bause, Richard C. Wilson |
| 2019 | Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. Youwei Liang, Dong Huang, Chang-Dong Wang |
| 2019 | Constrained Matrix Factorization for Course Score Prediction. Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | 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, Shijin Wang |
| 2019 | Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior. Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu |
| 2019 | Counterfactual Attention Supervision. Seungtaek Choi, Haeju Park, Seung-won Hwang |
| 2019 | Cross-Modal Zero-Shot Hashing. Xuanwu Liu, Zhao Li, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang |
| 2019 | Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response Theory. Ajay Shanker Tripathi, Benjamin W. Domingue |
| 2019 | DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal Data. Yujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang |
| 2019 | DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for Recommendation. Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng |
| 2019 | DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation. Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun |
| 2019 | Dataset Recommendation via Variational Graph Autoencoder. Basmah Altaf, Uchenna Akujuobi, Lu Yu, Xiangliang Zhang |
| 2019 | Deep Embedded Cluster Tree. Dominik Mautz, Claudia Plant, Christian Böhm |
| 2019 | Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution. Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao |
| 2019 | Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye |
| 2019 | Deep Technology Tracing for High-Tech Companies. Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma |
| 2019 | Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and Segmentation. Babak Hosseini, Romain Montagné, Barbara Hammer |
| 2019 | DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction. Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing |
| 2019 | Dense Semantic Matching Network for Multi-turn Conversation. Yongrui Li, Jun Yu, Zengfu Wang |
| 2019 | Discovering Relevant Reviews for Answering Product-Related Queries. Shiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris |
| 2019 | Discovering Reliable Correlations in Categorical Data. Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2019 | Discovering Robustly Connected Subgraphs with Simple Descriptions. Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2019 | Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series. Yifeng Gao, Jessica Lin |
| 2019 | Discrete Overlapping Community Detection with Pseudo Supervision. Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu |
| 2019 | Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang |
| 2019 | Discriminatively Relabel for Partial Multi-label Learning. Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu |
| 2019 | Distribution of Node Embeddings as Multiresolution Features for Graphs. Mark Heimann, Tara Safavi, Danai Koutra |
| 2019 | Diversity-Aware Recommendation by User Interest Domain Coverage Maximization. Yifan He, Haitao Zou, Hualong Yu, Qi Wang, Shang Gao |
| 2019 | Domain Knowledge Guided Deep Learning with Electronic Health Records. Changchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang |
| 2019 | Domain-Adversarial Graph Neural Networks for Text Classification. Man Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan |
| 2019 | Dual Adversarial Learning Based Network Alignment. Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang |
| 2019 | DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums. Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao |
| 2019 | Dynamic News Recommendation with Hierarchical Attention Network. Hui Zhang, Xu Chen, Shuai Ma |
| 2019 | EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees. Jaemin Yoo, Lee Sael |
| 2019 | Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. Runxue Bao, Bin Gu, Heng Huang |
| 2019 | Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh |
| 2019 | Efficient Data Representation by Selecting Prototypes with Importance Weights. Karthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu C. Aggarwal |
| 2019 | Efficient Mining and Exploration of Multiple Axis-Aligned Intersecting Objects. Tilemachos Pechlivanoglou, Vincent Chu, Manos Papagelis |
| 2019 | Efficient Sketching Algorithm for Sparse Binary Data. Rameshwar Pratap, Debajyoti Bera, Karthik Revanuru |
| 2019 | Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2019 | Exploiting Multi-domain Visual Information for Fake News Detection. Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li |
| 2019 | Exploring Semantic Relationships for Image Captioning without Parallel Data. Fenglin Liu, Meng Gao, Tianhao Zhang, Yuexian Zou |
| 2019 | Fair Adversarial Gradient Tree Boosting. Vincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki |
| 2019 | Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of Multipliers. Huihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang |
| 2019 | Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel |
| 2019 | Fast Semantic Preserving Hashing for Large-Scale Cross-Modal Retrieval. Xingzhi Wang, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Zhikai Hu, Nannan Wang |
| 2019 | Fast Sparse Coding Inference with Historical Information. Zhenchang Zhang, Fei Jiang, Ruimin Shen |
| 2019 | First Index-Free Manifold Ranking-Based Image Retrieval with Output Bound. Dandan Lin, Victor Junqiu Wei, Raymond Chi-Wing Wong |
| 2019 | Forest Distance Closeness Centrality in Disconnected Graphs. Yujia Jin, Qi Bao, Zhongzhi Zhang |
| 2019 | From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace Clustering. Hui Yan, Siyu Liu, Philip S. Yu |
| 2019 | Generalized Adversarial Training in Riemannian Space. Shufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain |
| 2019 | Generating Reliable Friends via Adversarial Training to Improve Social Recommendation. Junliang Yu, Min Gao, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang |
| 2019 | Generation of Low Distortion Adversarial Attacks via Convex Programming. Tianyun Zhang, Sijia Liu, Yanzhi Wang, Makan Fardad |
| 2019 | Generative Correlation Discovery Network for Multi-label Learning. Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu |
| 2019 | Generative Oversampling with a Contrastive Variational Autoencoder. Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz |
| 2019 | Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding. Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang |
| 2019 | HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han |
| 2019 | HierCon: Hierarchical Organization of Technical Documents Based on Concepts. Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, Xifeng Yan |
| 2019 | I-CARS: An Interactive Context-Aware Recommender System. Rosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen |
| 2019 | ICDM 2019 Knowledge Graph Contest: Team UWA. Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu |
| 2019 | Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong |
| 2019 | Improving Disentangled Representation Learning with the Beta Bernoulli Process. Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang |
| 2019 | Improving Spectral Clustering with Deep Embedding and Cluster Estimation. Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe |
| 2019 | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye |
| 2019 | Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning. Yunfei Chu, Caili Guo, Tongze He, Yaqing Wang, Jenq-Neng Hwang, Chunyan Feng |
| 2019 | Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and Linguistics. Qiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi |
| 2019 | Interpretable Feature Learning of Graphs using Tensor Decomposition. Shah Muhammad Hamdi, Rafal A. Angryk |
| 2019 | Intervention-Aware Early Warning. Dhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad |
| 2019 | Iterative Graph Alignment via Supermodular Approximation. Aritra Konar, Nicholas D. Sidiropoulos |
| 2019 | Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection. Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu |
| 2019 | Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu |
| 2019 | KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk Prediction. Xianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng |
| 2019 | Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time Pacing. Zhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zheng, Wenjun Zhou |
| 2019 | Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li |
| 2019 | Learning Classifiers on Positive and Unlabeled Data with Policy Gradient. Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate |
| 2019 | Learning Credible Deep Neural Networks with Rationale Regularization. Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu |
| 2019 | Learning Dynamic Author Representations with Temporal Language Models. Edouard Delasalles, Sylvain Lamprier, Ludovic Denoyer |
| 2019 | Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji |
| 2019 | Learning Local and Global Multi-context Representations for Document Classification. Yi Liu, Hao Yuan, Shuiwang Ji |
| 2019 | Learning Review Representations from user and Product Level Information for Spam Detection. Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu |
| 2019 | Learning Robust Representations with Graph Denoising Policy Network. Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen |
| 2019 | Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification. Zhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang |
| 2019 | Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical Networks. Zhuliu Li, Wei Zhang, Rong Stephanie Huang, Rui Kuang |
| 2019 | Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen |
| 2019 | Learning to Sample: An Active Learning Framework. Jingyu Shao, Qing Wang, Fangbing Liu |
| 2019 | Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text. Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake |
| 2019 | 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, Hengshuai Yao |
| 2019 | MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type Data. Hongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu |
| 2019 | MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann |
| 2019 | MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream Classification. Monidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang |
| 2019 | Machine Comprehension-Incorporated Relevance Matching. Chen Zhang, Hao Wang, Liang Zhou, Yijun Wang, Can Chen |
| 2019 | Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss Weighting. Kachun Lo, Tsukasa Ishigaki |
| 2019 | Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series. Shima Imani, Eamonn J. Keogh |
| 2019 | Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series Sets. Kaveh Kamgar, Shaghayegh Gharghabi, Eamonn J. Keogh |
| 2019 | Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix Profile. Zachary Zimmerman, Nader Shakibay Senobari, Gareth J. Funning, Evangelos E. Papalexakis, Samet Oymak, Philip Brisk, Eamonn J. Keogh |
| 2019 | Mining Audio, Text and Visual Information for Talking Face Generation. Lingyun Yu, Jun Yu, Qiang Ling |
| 2019 | Mining Maximal Clique Summary with Effective Sampling. Xiaofan Li, Rui Zhou, Yujun Dai, Lu Chen, Chengfei Liu, Qiang He, Yun Yang |
| 2019 | Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory. Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty |
| 2019 | Modeling Graphs with Vertex Replacement Grammars. Satyaki Sikdar, Justus Hibshman, Tim Weninger |
| 2019 | Multi-aspect Mining of Complex Sensor Sequences. Takato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai |
| 2019 | Multi-graph Convolution Collaborative Filtering. Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He |
| 2019 | Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching Model. Yunshi Lan, Shuohang Wang, Jing Jiang |
| 2019 | Multi-view Outlier Detection in Deep Intact Space. Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin |
| 2019 | NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response Generation. Jinxin Chang, Ruifang He, Haiyang Xu, Kun Han, Longbiao Wang, Xiangang Li, Jianwu Dang |
| 2019 | Nearest Neighbor Classifiers Versus Random Forests and Support Vector Machines. Saket Sathe, Charu C. Aggarwal |
| 2019 | 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, Yuan Jiang |
| 2019 | Network Identification and Authentication. Shengmin Jin, Vir V. Phoha, Reza Zafarani |
| 2019 | Neural Embedding Propagation on Heterogeneous Networks. Carl Yang, Jieyu Zhang, Jiawei Han |
| 2019 | Neural Feature Search: A Neural Architecture for Automated Feature Engineering. Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang |
| 2019 | On Privacy of Socially Contagious Attributes. Aria Rezaei, Jie Gao |
| 2019 | On the Robust Splitting Criterion of Random Forest. Bin-Bin Yang, Wei Gao, Ming Li |
| 2019 | One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang |
| 2019 | Online Budgeted Least Squares with Unlabeled Data. Chen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao |
| 2019 | Optimal Timelines for Network Processes. Daniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov |
| 2019 | PERCeIDs: PERiodic CommunIty Detection. Lin Zhang, Alexander Gorovits, Petko Bogdanov |
| 2019 | Performing Co-membership Attacks Against Deep Generative Models. Kin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao |
| 2019 | Permutation Strategies for Mining Significant Sequential Patterns. Andrea Tonon, Fabio Vandin |
| 2019 | Personalized Knowledge Graph Summarization: From the Cloud to Your Pocket. Tara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra |
| 2019 | Personalized Neural Usefulness Network for Rating Prediction. Qianqian Wang, Min Zhang |
| 2019 | Predicting Water Quality for the Woronora Delivery Network with Sparse Samples. Bin Liang, Dammika Vitanage, Corinna Doolan, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang, Shiyang Lu, Fang Chen, Tin Hua, Andrew Peters |
| 2019 | Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QA. Qing Chen, Jianji Wang, Xuguang Lan, Nanning Zheng |
| 2019 | Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data. Zuobin Xiong, Wei Li, Qilong Han, Zhipeng Cai |
| 2019 | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2019 | Rank-Based Multi-task Learning for Fair Regression. Chen Zhao, Feng Chen |
| 2019 | Recognizing Variables from Their Data via Deep Embeddings of Distributions. Jonas Mueller, Alex Smola |
| 2019 | Reinforced Molecule Generation with Heterogeneous States. Fangzhou Shi, Shan You, Chang Xu |
| 2019 | Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path Discovery. Pengfei Ding, Guanfeng Liu, Pengpeng Zhao, An Liu, Zhixu Li, Kai Zheng |
| 2019 | Relation Structure-Aware Heterogeneous Graph Neural Network. Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang |
| 2019 | RiWalk: Fast Structural Node Embedding via Role Identification. Xuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang |
| 2019 | SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social Media. Jinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, Guihai Chen |
| 2019 | Scalable Explanation of Inferences on Large Graphs. Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie |
| 2019 | Scene Text Recognition with Auto-Aligned Feature Generator. Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin |
| 2019 | Self-Attentive Attributed Network Embedding Through Adversarial Learning. Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang |
| 2019 | Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral Images. Kazi Aminul Islam, Victoria Hill, Blake A. Schaeffer, Richard Zimmerman, Jiang Li |
| 2019 | Session-Based Recommendation with Local Invariance. Tianwen Chen, Raymond Chi-Wing Wong |
| 2019 | Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex Optimization. Atsushi Nitanda, Tomoya Murata, Taiji Suzuki |
| 2019 | Social Trust Network Embedding. Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang |
| 2019 | Space-Efficient Feature Maps for String Alignment Kernels. Yasuo Tabei, Yoshihiro Yamanishi, Rasmus Pagh |
| 2019 | Spatio-Temporal GRU for Trajectory Classification. Hongbin Liu, Hao Wu, Weiwei Sun, Ickjai Lee |
| 2019 | Streaming Random Patches for Evolving Data Stream Classification. Heitor Murilo Gomes, Jesse Read, Albert Bifet |
| 2019 | Supervised Class Distribution Learning for GANs-Based Imbalanced Classification. Zixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, Liping Jing |
| 2019 | TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training. Haotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu |
| 2019 | Tabular Cell Classification Using Pre-Trained Cell Embeddings. Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely |
| 2019 | Temporal Self-Attention Network for Medical Concept Embedding. Xueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang, Michael Blumenstein |
| 2019 | To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social Networks. Ye Li, Hong Xie, Yishi Lin, John C. S. Lui |
| 2019 | Towards Making Deep Transfer Learning Never Hurt. Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan |
| 2019 | TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial Networks. Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo |
| 2019 | Transfer Learning with Dynamic Adversarial Adaptation Network. Chaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang |
| 2019 | Transfer Metric Learning for Unseen Domains. Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara |
| 2019 | Triple-Shapelet Networks for Time Series Classification. Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell |
| 2019 | Unsupervised Qualitative Scoring for Binary Item Features. Koji Ichikawa, Hiroshi Tamano |
| 2019 | Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation Learning. Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo |
| 2019 | User Response Driven Content Understanding with Causal Inference. Fei Tan, Zhi Wei, Abhishek Pani, Zhenyu Yan |
| 2019 | VASE: A Twitter-Based Vulnerability Analysis and Score Engine. Haipeng Chen, Jing Liu, Rui Liu, Noseong Park, V. S. Subrahmanian |
| 2019 | VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture Model. Xi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang |
| 2019 | What is the Value of Experimentation & Measurement? C. H. Bryan Liu, Benjamin Paul Chamberlain |
| 2019 | XOR-Based Boolean Matrix Decomposition. Jörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer |