Abstract is missing.
- Collaborative Graph Walk for Semi-Supervised Multi-label Node ClassificationUchenna Akujuobi, Yufei Han, Qiannan Zhang, Xiangliang Zhang 0001. 1-10 [doi]
- Dataset Recommendation via Variational Graph AutoencoderBasmah Altaf, Uchenna Akujuobi, Lu Yu 0006, Xiangliang Zhang 0001. 11-20 [doi]
- CUDA: Contradistinguisher for Unsupervised Domain AdaptationSourabh Balgi, Ambedkar Dukkipati. 21-30 [doi]
- An Efficient Policy Gradient Method for Conditional Dialogue GenerationLei Cai, Shuiwang Ji. 31-40 [doi]
- Supervised Class Distribution Learning for GANs-Based Imbalanced ClassificationZixin Cai, Xinyue Wang, Mingjie Zhou, Jian Xu, Liping Jing. 41-50 [doi]
- NVSRN: A Neural Variational Scaling Reasoning Network for Initiative Response GenerationJinxin Chang, Ruifang He, Haiyang Xu, Kun Han, Longbiao Wang, Xiangang Li, Jianwu Dang. 51-60 [doi]
- InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing PlatformsHaipeng Chen, Yan Jiao, Zhiwei Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye. 61-70 [doi]
- Neural Feature Search: A Neural Architecture for Automated Feature EngineeringXiangning 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. 71-80 [doi]
- Preference Relationship-Based CrossCMN Scheme for Answer Ranking in Community QAQing Chen, Jianji Wang, Xuguang Lan, Nanning Zheng. 81-90 [doi]
- Automatic Clustering by Detecting Significant Density Dips in Multiple DimensionsPantelis Chronis, Spiros Athanasiou, Spiros Skiadopoulos. 91-100 [doi]
- Generative Oversampling with a Contrastive Variational AutoencoderWangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin Stultz. 101-109 [doi]
- MUSE-RNN: A Multilayer Self-Evolving Recurrent Neural Network for Data Stream ClassificationMonidipa Das, Mahardhika Pratama, Septiviana Savitri, Jie Zhang. 110-119 [doi]
- Learning Dynamic Author Representations with Temporal Language ModelsEdouard Delasalles, Sylvain Lamprier, Ludovic Denoyer. 120-129 [doi]
- Closed Form Word Embedding AlignmentSunipa Dev, Safia Hassan, Jeff M. Phillips. 130-139 [doi]
- Reinforcement Learning Based Monte Carlo Tree Search for Temporal Path DiscoveryPengfei Ding, Guanfeng Liu 0001, Pengpeng Zhao, An Liu 0002, Zhixu Li, Kai Zheng 0001. 140-149 [doi]
- Learning Credible Deep Neural Networks with Rationale RegularizationMengnan Du, Ninghao Liu, Fan Yang, Xia Hu. 150-159 [doi]
- Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and ComplementarityJiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer Leopold, Yanjie Fu. 160-169 [doi]
- Improving Spectral Clustering with Deep Embedding and Cluster EstimationLiang Duan, Charu C. Aggarwal, Shuai Ma 0001, Saket Sathe. 170-179 [doi]
- Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational TheorySubhabrata Dutta, Dipankar Das 0001, Tanmoy Chakraborty 0002. 180-189 [doi]
- Large-Scale Personalized Delivery for Guaranteed Display Advertising with Real-Time PacingZhen Fang, Yang Li, Chuanren Liu, Wenxiang Zhu, Yu Zheng, Wenjun Zhou. 190-199 [doi]
- DCMN: Double Core Memory Network for Patient Outcome Prediction with Multimodal DataYujuan Feng, Zhenxing Xu, Lin Gan, Ning Chen, Bin Yu, Ting Chen, Fei Wang 0001. 200-209 [doi]
- Leveraging Hierarchical Representations for Preserving Privacy and Utility in TextOluwaseyi Feyisetan, Tom Diethe, Thomas Drake. 210-219 [doi]
- Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time SeriesYifeng Gao, Jessica Lin 0001. 220-229 [doi]
- Tabular Cell Classification Using Pre-Trained Cell EmbeddingsMajid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely. 230-239 [doi]
- Streaming Random Patches for Evolving Data Stream ClassificationHeitor Murilo Gomes, Jesse Read, Albert Bifet. 240-249 [doi]
- Deep Multi-attributed Graph Translation with Node-Edge Co-EvolutionXiaojie Guo, Liang Zhao 0002, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao. 250-259 [doi]
- Efficient Data Representation by Selecting Prototypes with Importance WeightsKarthik S. Gurumoorthy, Amit Dhurandhar, Guillermo A. Cecchi, Charu Aggarwal. 260-269 [doi]
- Interpretable Feature Learning of Graphs using Tensor DecompositionShah Muhammad Hamdi, Rafal A. Angryk. 270-279 [doi]
- Discriminatively Relabel for Partial Multi-label LearningShuo He, Ke Deng, Li Li 0006, Senlin Shu, Li Liu. 280-288 [doi]
- Distribution of Node Embeddings as Multiresolution Features for GraphsMark Heimann, Tara Safavi, Danai Koutra. 289-298 [doi]
- Multi-aspect Mining of Complex Sensor SequencesTakato Honda, Yasuko Matsubara, Ryo Neyama, Mutsumi Abe, Yasushi Sakurai. 299-308 [doi]
- Online Budgeted Least Squares with Unlabeled DataChen Huang, Peiyan Li, Chongming Gao, Qinli Yang, Junming Shao. 309-318 [doi]
- Bi-directional Causal Graph Learning through Weight-Sharing and Low-Rank Neural NetworkHao Huang, Chenxiao Xu, Shinjae Yoo. 319-328 [doi]
- Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time SeriesShima Imani, Eamonn J. Keogh. 329-338 [doi]
- Forest Distance Closeness Centrality in Disconnected GraphsYujia Jin, Qi Bao, Zhongzhi Zhang. 339-348 [doi]
- Computing Optimal Assignments in Linear Time for Approximate Graph MatchingNils M. Kriege, Pierre-Louis Giscard, Franka Bause, Richard C. Wilson 0001. 349-358 [doi]
- Multi-hop Knowledge Base Question Answering with an Iterative Sequence Matching ModelYunshi Lan, Shuohang Wang, Jing Jiang 0001. 359-368 [doi]
- Collaborative Distillation for Top-N RecommendationJae Woong Lee, Minjin Choi, Jongwuk Lee, Hyunjung Shim. 369-378 [doi]
- HierCon: Hierarchical Organization of Technical Documents Based on ConceptsKeqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su 0001, Xifeng Yan. 379-388 [doi]
- Classify EEG and Reveal Latent Graph Structure with Spatio-Temporal Graph Convolutional Neural NetworkXiaoyu Li, Buyue Qian, Jishang Wei, An Li, Xuan Liu, Qinghua Zheng. 389-398 [doi]
- Learning Classifiers on Positive and Unlabeled Data with Policy GradientTianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Björn Stenger, Yu Hirate. 399-408 [doi]
- Learning a Low-Rank Tensor of Pharmacogenomic Multi-relations from Biomedical NetworksZhuliu Li, Wei Zhang 0076, R. Stephanie Huang, Rui Kuang. 409-418 [doi]
- One-Stage Deep Instrumental Variable Method for Causal Inference from Observational DataAdi Lin, Jie Lu 0001, Junyu Xuan, Fujin Zhu, Guangquan Zhang 0001. 419-428 [doi]
- Guiding Cross-lingual Entity Alignment via Adversarial Knowledge EmbeddingXixun Lin, Hong Yang, Jia Wu 0001, Chuan Zhou, Bin Wang. 429-438 [doi]
- Exploring Semantic Relationships for Image Captioning without Parallel DataFenglin Liu, Meng Gao, Tianhao Zhang, Yuexian Zou. 439-448 [doi]
- Cross-Modal Zero-Shot HashingXuanwu Liu, Zhao Li, Jun Wang 0035, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang. 449-458 [doi]
- Performing Co-membership Attacks Against Deep Generative ModelsKin Sum Liu, Chaowei Xiao, Bo Li, Jie Gao. 459-467 [doi]
- Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss WeightingKachun Lo, Tsukasa Ishigaki. 468-477 [doi]
- RiWalk: Fast Structural Node Embedding via Role IdentificationXuewei Ma, Geng Qin, Zhiyang Qiu, Mingxin Zheng, Zhe Wang. 478-487 [doi]
- Sharp Characterization of Optimal Minibatch Size for Stochastic Finite Sum Convex OptimizationAtsushi Nitanda, Tomoya Murata, Taiji Suzuki. 488-497 [doi]
- Temporal Self-Attention Network for Medical Concept EmbeddingXueping Peng, Guodong Long, Tao Shen, Sen Wang, Jing Jiang 0002, Michael Blumenstein. 498-507 [doi]
- Efficient Sketching Algorithm for Sparse Binary DataRameshwar Pratap, Debajyoti Bera, Karthik Revanuru. 508-517 [doi]
- Exploiting Multi-domain Visual Information for Fake News DetectionPeng Qi, Juan Cao, Tianyun Yang, Junbo Guo, Jintao Li. 518-527 [doi]
- Personalized Knowledge Graph Summarization: From the Cloud to Your PocketTara Safavi, Caleb Belth, Lukas Faber, Davide Mottin, Emmanuel Müller, Danai Koutra. 528-537 [doi]
- Learning to Sample: An Active Learning FrameworkJingyu Shao, Qing Wang, Fangbing Liu. 538-547 [doi]
- Reinforced Molecule Generation with Heterogeneous StatesFangzhou Shi, Shan You, Chang Xu 0002. 548-557 [doi]
- Modeling Graphs with Vertex Replacement GrammarsSatyaki Sikdar, Justus Hibshman, Tim Weninger. 558-567 [doi]
- M-estimation in Low-Rank Matrix Factorization: A General FrameworkWei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao. 568-577 [doi]
- Towards Making Deep Transfer Learning Never HurtRuosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan. 578-587 [doi]
- Generative Correlation Discovery Network for Multi-label LearningLichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu. 588-597 [doi]
- A Semi-Supervised Graph Attentive Network for Financial Fraud DetectionDaixin Wang, Yuan Qi, Jianbin Lin, Peng Cui 0001, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang. 598-607 [doi]
- DMFP: A Dynamic Multi-faceted Fine-Grained Preference Model for RecommendationHuizhao Wang, Guanfeng Liu 0001, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng 0001. 608-617 [doi]
- DeepTrust: A Deep User Model of Homophily Effect for Trust PredictionQi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing. 618-627 [doi]
- A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image DerainingYanyan Wei, Zhao Zhang, Haijun Zhang, Richang Hong, Meng Wang. 628-637 [doi]
- XOR-Based Boolean Matrix DecompositionJörg Wicker, Yan Cathy Hua, Rayner Rebello, Bernhard Pfahringer. 638-647 [doi]
- Domain-Adversarial Graph Neural Networks for Text ClassificationMan Wu, Shirui Pan, Xingquan Zhu, Chuan Zhou, Lei Pan. 648-657 [doi]
- Discriminative Regularized Deep Generative Models for Semi-Supervised LearningQianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang. 658-667 [doi]
- Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera DataZuobin Xiong, Wei Li 0059, Qilong Han, Zhipeng Cai. 668-677 [doi]
- Social Trust Network EmbeddingPinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu 0003, Bo Du, Jian Yang. 678-687 [doi]
- VSB-DVM: An End-to-End Bayesian Nonparametric Generalization of Deep Variational Mixture ModelXi Yang, Yuyao Yan, Kaizhu Huang, Rui Zhang. 688-697 [doi]
- Neural Embedding Propagation on Heterogeneous NetworksCarl Yang, Jieyu Zhang, Jiawei Han 0001. 698-707 [doi]
- Discrete Overlapping Community Detection with Pseudo SupervisionFanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu. 708-717 [doi]
- Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling ApproachYuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong. 718-727 [doi]
- Automatic Generation of Medical Imaging Diagnostic Report with Hierarchical Recurrent Neural NetworkChangchang Yin, Buyue Qian, Jishang Wei, Xiaoyu Li, Xianli Zhang, Yang Li, Qinghua Zheng. 728-737 [doi]
- Domain Knowledge Guided Deep Learning with Electronic Health RecordsChangchang Yin, Rongjian Zhao, Buyue Qian, Xin Lv, Ping Zhang 0016. 738-747 [doi]
- Fast LSTM Inference by Dynamic Decomposition on Cloud SystemsYang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel. 748-757 [doi]
- Self-Attentive Attributed Network Embedding Through Adversarial LearningWenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang 0010. 758-767 [doi]
- Generating Reliable Friends via Adversarial Training to Improve Social RecommendationJunliang Yu, Min Gao 0001, Hongzhi Yin, Jundong Li, Chongming Gao, Qinyong Wang. 768-777 [doi]
- Transfer Learning with Dynamic Adversarial Adaptation NetworkChaohui Yu, Jindong Wang, Yiqiang Chen, Meiyu Huang. 778-786 [doi]
- Mining Audio, Text and Visual Information for Talking Face GenerationLingyun Yu, Jun Yu 0001, Qiang Ling. 787-795 [doi]
- Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor DetectionChunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu. 796-805 [doi]
- Learning Hierarchical and Shared Features for Improving 3D Neuron ReconstructionHao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji. 806-815 [doi]
- PERCeIDs: PERiodic CommunIty DetectionLin Zhang, Alexander Gorovits, Petko Bogdanov. 816-825 [doi]
- Generalized Adversarial Training in Riemannian SpaceShufei Zhang, Kaizhu Huang, Rui Zhang, Amir Hussain. 826-835 [doi]
- Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for ClassificationZhao Zhang, Yulin Sun, Zheng Zhang, Yang Wang, Guangcan Liu, Meng Wang. 836-845 [doi]
- Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image RecoveryZhao Zhang 0001, Lei Wang, Sheng Li 0001, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang 0001. 846-855 [doi]
- Machine Comprehension-Incorporated Relevance MatchingChen Zhang, Hao Wang, Liang Zhou, Yijun Wang, Can Chen. 856-865 [doi]
- Boosted Trajectory Calibration for Traffic State EstimationXitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou. 866-875 [doi]
- HiGitClass: Keyword-Driven Hierarchical Classification of GitHub RepositoriesYu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han 0001. 876-885 [doi]
- Aftershock Detection with Multi-scale Description Based Neural NetworkQi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu. 886-895 [doi]
- Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNNXiang Zhang, Lina Yao, Xianzhi Wang 0001, Wenjie Zhang, Shuai Zhang 0007, Yunhao Liu. 896-905 [doi]
- A Parallel Simulated Annealing Enhancement of the Optimal-Matching Heuristic for RidesharingLihao Zhang, Zeyang Ye, Keli Xiao, Bo Jin 0001. 906-915 [doi]
- Rank-Based Multi-task Learning for Fair RegressionChen Zhao, Feng Chen. 916-925 [doi]
- Adversarial Robustness of Similarity-Based Link PredictionKai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik. 926-935 [doi]
- Matrix Profile XVIII: Time Series Mining in the Face of Fast Moving Streams using a Learned Approximate Matrix ProfileZachary Zimmerman, Nader Shakibay Senobari, Gareth J. Funning, Evangelos E. Papalexakis, Samet Oymak, Philip Brisk, Eamonn J. Keogh. 936-945 [doi]
- ChainNet: Learning on Blockchain Graphs with Topological FeaturesNazmiye Ceren Abay, Cuneyt Gurcan Akcora, Yulia R. Gel, Murat Kantarcioglu, Umar D. Islambekov, Yahui Tian, Bhavani M. Thuraisingham. 946-951 [doi]
- MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural NetworksRoy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann. 952-957 [doi]
- Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy GuaranteeRunxue Bao, Bin Gu, Heng Huang. 958-963 [doi]
- A Wasserstein Subsequence Kernel for Time SeriesChristian Bock, Matteo Togninalli, M. Elisabetta Ghisu, Thomas Gumbsch, Bastian Rieck, Karsten M. Borgwardt. 964-969 [doi]
- Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New ClassesXin-Qiang Cai, Peng Zhao, Kai Ming Ting, Xin Mu, Yuan Jiang 0001. 970-975 [doi]
- VASE: A Twitter-Based Vulnerability Analysis and Score EngineHaipeng Chen 0001, Jing Liu 0024, Rui Liu, Noseong Park, V. S. Subrahmanian. 976-981 [doi]
- Scalable Explanation of Inferences on Large GraphsChao Chen, YiFei Liu, Xi Zhang 0008, Sihong Xie. 982-987 [doi]
- AMENDER: An Attentive and Aggregate Multi-layered Network for Dataset RecommendationYujun Chen, Yuanhong Wang, Yutao Zhang, Juhua Pu, Xiangliang Zhang. 988-993 [doi]
- Session-Based Recommendation with Local InvarianceTianwen Chen, Raymond Chi-Wing Wong. 994-999 [doi]
- Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative FilteringMingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen. 1000-1005 [doi]
- Counterfactual Attention SupervisionSeungtaek Choi, Haeju Park, Seung-won Hwang. 1006-1011 [doi]
- Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence LearningYunfei Chu, Caili Guo, Tongze He, Yaqing Wang, Jenq-Neng Hwang, Chunyan Feng. 1012-1017 [doi]
- A Factorized Version Space Algorithm for "Human-In-the-Loop" Data ExplorationLuciano Di Palma, Yanlei Diao, Anna Liu. 1018-1023 [doi]
- Optimal Timelines for Network ProcessesDaniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov. 1024-1029 [doi]
- Intervention-Aware Early WarningDhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad. 1030-1035 [doi]
- CAMP: Co-Attention Memory Networks for Diagnosis Prediction in HealthcareJingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie 0001. 1036-1041 [doi]
- DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health ForumsYuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao 0002. 1042-1047 [doi]
- DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive RecommendationRong Gao, Haifeng Xia, Jing Li 0055, Donghua Liu, Shuai Chen, Gang Chun. 1048-1053 [doi]
- An Integrated Model for Urban Subregion House Price Forecasting: A Multi-source Data PerspectiveChuancai Ge, Yang Wang, Xike Xie, Hengchang Liu, Zhengyang Zhou. 1054-1059 [doi]
- Fair Adversarial Gradient Tree BoostingVincent Grari, Boris Ruf, Sylvain Lamprier, Marcin Detyniecki. 1060-1065 [doi]
- Quantized Adversarial Training: An Iterative Quantized Local Search ApproachYifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li 0001. 1066-1071 [doi]
- A Weighted Aggregating SGD for Scalable Parallelization in Deep LearningPengzhan Guo, Zeyang Ye, Keli Xiao. 1072-1077 [doi]
- Improving Disentangled Representation Learning with the Beta Bernoulli ProcessPrashnna K. Gyawali, Zhiyuan Li 0007, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang. 1078-1083 [doi]
- Diversity-Aware Recommendation by User Interest Domain Coverage MaximizationYifan He, Haitao Zou, Hualong Yu, Qi Wang, Shang Gao. 1084-1089 [doi]
- Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning ProblemJohn Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye. 1090-1095 [doi]
- Deep-Aligned Convolutional Neural Network for Skeleton-Based Action Recognition and SegmentationBabak Hosseini, Romain Montagné, Barbara Hammer. 1096-1101 [doi]
- A Distributed Fair Machine Learning Framework with Private Demographic Data ProtectionHui Hu, Yijun Liu, Zhen Wang, Chao Lan. 1102-1107 [doi]
- Constructing Educational Concept Maps with Multiple Relationships from Multi-Source DataXiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su 0002, Shijin Wang. 1108-1113 [doi]
- Unsupervised Qualitative Scoring for Binary Item FeaturesKoji Ichikawa, Hiroshi Tamano. 1114-1119 [doi]
- Semi-Supervised Adversarial Domain Adaptation for Seagrass Detection in Multispectral ImagesKazi Aminul Islam, Victoria Hill, Blake Schaeffer, Richard Zimmerman, Jiang Li. 1120-1125 [doi]
- CSNN: Contextual Sentiment Neural NetworkTomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita. 1126-1131 [doi]
- Multi-view Outlier Detection in Deep Intact SpaceYu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin. 1132-1137 [doi]
- Block-Structured Optimization for Anomalous Pattern Detection in Interdependent NetworksFei Jie, Chunpai Wang, Feng Chen, Lei Li, Xindong Wu 0001. 1138-1143 [doi]
- Network Identification and AuthenticationShengmin Jin, Vir V. Phoha, Reza Zafarani. 1144-1149 [doi]
- Discovering Robustly Connected Subgraphs with Simple DescriptionsJanis Kalofolias, Mario Boley, Jilles Vreeken. 1150-1155 [doi]
- Matrix Profile XV: Exploiting Time Series Consensus Motifs to Find Structure in Time Series SetsKaveh Kamgar, Shaghayegh Gharghabi, Eamonn J. Keogh. 1156-1161 [doi]
- Iterative Graph Alignment via Supermodular ApproximationAritra Konar, Nicholas D. Sidiropoulos. 1162-1167 [doi]
- Transfer Metric Learning for Unseen DomainsAtsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara. 1168-1173 [doi]
- SENTI2POP: Sentiment-Aware Topic Popularity Prediction on Social MediaJinning Li, Yirui Gao, Xiaofeng Gao, Yan Shi, Guihai Chen. 1174-1179 [doi]
- To Be or Not to Be: Analyzing & Modeling Social Recommendation in Online Social NetworksYe Li, Hong Xie 0004, Yishi Lin, John C. S. Lui. 1180-1185 [doi]
- Dense Semantic Matching Network for Multi-turn ConversationYongrui Li, Jun Yu, Zengfu Wang. 1186-1191 [doi]
- Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving BehaviorQingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin 0001, Lingfei Wu. 1192-1197 [doi]
- Mining Maximal Clique Summary with Effective SamplingXiaofan Li, Rui Zhou 0001, Yujun Dai, Lu Chen, Chengfei Liu, Qiang He, Yun Yang. 1198-1203 [doi]
- Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view ClusteringYouwei Liang, Dong Huang, Chang-Dong Wang. 1204-1209 [doi]
- Predicting Water Quality for the Woronora Delivery Network with Sparse SamplesBin Liang, Dammika Vitanage, Corinna Doolan, Zhidong Li, Ronnie Taib, George Mathews, Yang Wang 0002, Shiyang Lu, Fang Chen, Tin Hua, Andrew Peters. 1210-1215 [doi]
- First Index-Free Manifold Ranking-Based Image Retrieval with Output BoundDandan Lin, Victor Junqiu Wei, Raymond Chi-Wing Wong. 1216-1221 [doi]
- What is the Value of Experimentation & Measurement?C. H. Bryan Liu, Benjamin Paul Chamberlain. 1222-1227 [doi]
- Spatio-Temporal GRU for Trajectory ClassificationHongbin Liu, Hao Wu 0011, Weiwei Sun, Ickjai Lee. 1228-1233 [doi]
- Learning Local and Global Multi-context Representations for Document ClassificationYi Liu, Hao Yuan, Shuiwang Ji. 1234-1239 [doi]
- I-CARS: An Interactive Context-Aware Recommender SystemRosni Lumbantoruan, Xiangmin Zhou, Yongli Ren, Lei Chen 0002. 1240-1245 [doi]
- Triple-Shapelet Networks for Time Series ClassificationQianli Ma, Wanqing Zhuang, Garrison W. Cottrell. 1246-1251 [doi]
- Discovering Reliable Correlations in Categorical DataPanagiotis Mandros, Mario Boley, Jilles Vreeken. 1252-1257 [doi]
- Deep Embedded Cluster TreeDominik Mautz, Claudia Plant, Christian Böhm. 1258-1263 [doi]
- Recognizing Variables from Their Data via Deep Embeddings of DistributionsJonas Mueller, Alex Smola. 1264-1269 [doi]
- Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima LocationsVu Nguyen 0001, Sunil Guptai 0001, Santu Rana, My Thai, Cheng Li, Svetha Venkatesh. 1270-1275 [doi]
- Efficient Mining and Exploration of Multiple Axis-Aligned Intersecting ObjectsTilemachos Pechlivanoglou, Vincent Chu, Manos Papagelis. 1276-1281 [doi]
- An Integrated Multimodal Attention-Based Approach for Bank Stress Test PredictionFarid Razzak, Fei Yi, Yang Yang, Hui Xiong. 1282-1287 [doi]
- Dual Adversarial Learning Based Network AlignmentJiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang. 1288-1293 [doi]
- On Privacy of Socially Contagious AttributesAria Rezaei, Jie Gao. 1294-1299 [doi]
- Nearest Neighbor Classifiers Versus Random Forests and Support Vector MachinesSaket Sathe, Charu C. Aggarwal. 1300-1305 [doi]
- Multi-graph Convolution Collaborative FilteringJianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He. 1306-1311 [doi]
- Space-Efficient Feature Maps for String Alignment KernelsYasuo Tabei, Yoshihiro Yamanishi, Rasmus Pagh. 1312-1317 [doi]
- An Arm-Wise Randomization Approach to Combinatorial Linear Semi-BanditsKei Takemura, Shinji Ito. 1318-1323 [doi]
- User Response Driven Content Understanding with Causal InferenceFei Tan, Zhi Wei, Abhishek Pani, Zhenyu Yan. 1324-1329 [doi]
- Permutation Strategies for Mining Significant Sequential PatternsAndrea Tonon, Fabio Vandin. 1330-1335 [doi]
- Curve Fitting from Probabilistic Emissions and Applications to Dynamic Item Response TheoryAjay Tripathi, Benjamin W. Domingue. 1336-1341 [doi]
- Adaptive Teacher-and-Student Model for Heterogeneous Domain AdaptationYunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue. 1342-1347 [doi]
- Fast Semantic Preserving Hashing for Large-Scale Cross-Modal RetrievalXingzhi Wang, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Zhikai Hu, Nannan Wang. 1348-1353 [doi]
- Fast Classification Algorithms via Distributed Accelerated Alternating Direction Method of MultipliersHuihui Wang, Shunmei Meng, Yiming Qiao, Jing Zhang 0015. 1354-1359 [doi]
- Learning to Hash for Efficient Search Over Incomplete Knowledge GraphsMeng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen. 1360-1365 [doi]
- Competitive Multi-agent Deep Reinforcement Learning with Counterfactual ThinkingYue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu. 1366-1371 [doi]
- TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial TrainingHaotian Wang, Wenjing Yang, Zhipeng Lin, Yue Yu. 1372-1377 [doi]
- Learning Robust Representations with Graph Denoising Policy NetworkLu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang 0056, Hongyuan Zha, Xiaofeng He, Haifeng Chen. 1378-1383 [doi]
- Personalized Neural Usefulness Network for Rating PredictionQianqian Wang, Min Zhang. 1384-1389 [doi]
- Collaborative Label Correction via Entropy ThresholdingHao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang. 1390-1395 [doi]
- Deep Technology Tracing for High-Tech CompaniesHan Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma. 1396-1401 [doi]
- Adaptive Neural Network for Node Classification in Dynamic NetworksDongkuan Xu, Wei Cheng, Dongsheng Luo, Yameng Gu, Xiao Liu, Jingchao Ni, Bo Zong, Haifeng Chen, Xiang Zhang 0001. 1402-1407 [doi]
- MIX: A Joint Learning Framework for Detecting Both Clustered and Scattered Outliers in Mixed-Type DataHongzuo Xu, Yijie Wang, Yongjun Wang, Zhiyue Wu. 1408-1413 [doi]
- From Joint Feature Selection and Self-Representation Learning to Robust Multi-view Subspace ClusteringHui Yan, Siyu Liu, Philip S. Yu. 1414-1419 [doi]
- On the Robust Splitting Criterion of Random ForestBin-Bin Yang, Wei Gao, Ming Li. 1420-1425 [doi]
- Scene Text Recognition with Auto-Aligned Feature GeneratorQiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin. 1426-1431 [doi]
- ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect EstimationLiuyi Yao, Sheng Li 0001, Yaliang Li, Mengdi Huai, Jing Gao 0004, Aidong Zhang. 1432-1437 [doi]
- EDiT: Interpreting Ensemble Models via Compact Soft Decision TreesJaemin Yoo, Lee Sael. 1438-1443 [doi]
- Learning Review Representations from user and Product Level Information for Spam DetectionChunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu. 1444-1449 [doi]
- Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent DetectionDalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li. 1450-1455 [doi]
- Dynamic News Recommendation with Hierarchical Attention NetworkHui Zhang, Xu Chen, Shuai Ma 0001. 1456-1461 [doi]
- Fast Sparse Coding Inference with Historical InformationZhenchang Zhang, Fei Jiang, Ruimin Shen. 1462-1467 [doi]
- Discovering Relevant Reviews for Answering Product-Related QueriesShiwei Zhang, Jey Han Lau, Xiuzhen Zhang, Jeffrey Chan, Cécile Paris. 1468-1473 [doi]
- TrafficGAN: Off-Deployment Traffic Estimation with Traffic Generative Adversarial NetworksYingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo. 1474-1479 [doi]
- Unveiling Taxi Drivers' Strategies via cGAIL: Conditional Generative Adversarial Imitation LearningXin Zhang, Yanhua Li, Xun Zhou, Jun Luo. 1480-1485 [doi]
- Generation of Low Distortion Adversarial Attacks via Convex ProgrammingTianyun Zhang, Sijia Liu 0001, Yanzhi Wang, Makan Fardad. 1486-1491 [doi]
- KnowRisk: An Interpretable Knowledge-Guided Model for Disease Risk PredictionXianli Zhang, Buyue Qian, Yang Li, Changchang Yin, Xudong Wang, Qinghua Zheng. 1492-1497 [doi]
- Collective Protection: Preventing Sensitive Inferences via Integrative TransformationDalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang. 1498-1503 [doi]
- Elastic Bulk Synchronous Parallel Model for Distributed Deep LearningXing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu. 1504-1509 [doi]
- Constrained Matrix Factorization for Course Score PredictionShi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai. 1510-1515 [doi]
- Inquiry Spam Detection via Jointly Exploiting Temporal-Categorical Behavior and LinguisticsQiwei Zhong, Jiayu Tang, Jinghua Feng, Jianfeng Chi. 1516-1521 [doi]
- ADMIRING: Adversarial Multi-network MiningQinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong. 1522-1527 [doi]
- A Model-Agnostic Approach for Explaining the Predictions on Clustered DataZihan Zhou, Mingxuan Sun, Jianhua Chen. 1528-1533 [doi]
- Relation Structure-Aware Heterogeneous Graph Neural NetworkShichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang. 1534-1539 [doi]
- Automatic Knowledge Graph Construction: A Report on the 2019 ICDM/ICBK ContestXindong Wu 0001, Jia Wu, Xiaoyi Fu, Jiachen Li, Peng Zhou, Xu Jiang. 1540-1545 [doi]
- ICDM 2019 Knowledge Graph Contest: Team UWAMichael Stewart, Majigsuren Enkhsaikhan, Wei Liu 0006. 1546-1551 [doi]