Table of Contents

• Autonomous Driving Towards Mass ProductionJianping Shi. 1 [doi]
• The Fisher-Rao Metric in Computer VisionStephen John Maybank. 3 [doi]
• From Unstructured Text to TextCube: Automated Construction and Multidimensional ExplorationJiawei Han 0001. 5-6 [doi]
• Practicing the Art of Data ScienceJian Pei. 7 [doi]
• On VR Spatial Query for Dual Entangled WorldsShao-Heng Ko, Ying Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang. 9-18 [doi]
• Sketching Streaming Histogram Elements using Multiple Weighted FactorsQuang Huy Duong, Heri Ramampiaro, Kjetil Nørvåg. 19-28 [doi]
• Improved Compressed String DictionariesNieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro. 29-38 [doi]
• On Transforming Relevance ScalesLei Han 0003, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini. 39-48 [doi]
• Streamline Density Peak Clustering for Practical AdoptionsShuai Yang, Xipeng Shen, Min Chi. 49-58 [doi]
• Recommendation-based Team Formation for On-demand Taxi-calling PlatformsLingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu 0002, Jieping Ye. 59-68 [doi]
• DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time EstimationTao-Yang Fu, Wang-Chien Lee. 69-78 [doi]
• Personalized Route Description Based On Historical TrajectoriesHan Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng 0001. 79-88 [doi]
• Geolocating Tweets in any Language at any LocationMike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras. 89-98 [doi]
• SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal DetectionM. Ashraf Siddiquee, Zeinab Akhavan, Abdullah Mueen. 99-108 [doi]
• UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk PredictionQingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen. 109-118 [doi]
• Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR ImagesChanghee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh. 119-127 [doi]
• Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual InterpretationXiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng, none none. 129-138 [doi]
• Question Difficulty Prediction for Multiple Choice Problems in Medical ExamsZhaopeng Qiu, Xian Wu, Wei Fan 0001. 139-148 [doi]
• GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge EmpowermentSendong Zhao, Chang Su, Andrea Sboner, Fei Wang. 149-158 [doi]
• Video-level Multi-model Fusion for Action RecognitionXiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li. 159-168 [doi]
• Large Scale Landmark Recognition via Deep Metric LearningAndrei Boiarov, Eduard Tyantov. 169-178 [doi]
• Multi-stage Deep Classifier Cascades for Open World RecognitionXiaojie Guo, Amir Alipour Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng 0001, Liang Zhao 0002. 179-188 [doi]
• Inferring Context from Pixels for Multimodal Image ClassificationManan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun. 189-198 [doi]
• Multi-Target Multi-Camera Tracking with Human Body Part Semantic FeaturesMingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan. 199-208 [doi]
• Efficient Join Processing Over Incomplete Data StreamsWeilong Ren 0002, Xiang Lian, Kambiz Ghazinour. 209-218 [doi]
• Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen AlgorithmsFalco Dürsch, Axel Stebner, Fabian Windheuser, Maxi Fischer, Tim Friedrich, Nils Strelow, Tobias Bleifuß, Hazar Harmouch, Lan Jiang, Thorsten Papenbrock, Felix Naumann. 219-228 [doi]
• Constructing a Comprehensive Events Database from the WebQifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar. 229-238 [doi]
• Deploying Hash Tables on Die-Stacked High Bandwidth MemoryXuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen. 239-248 [doi]
• Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity LinkageChaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang. 249-258 [doi]
• Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image ClassificationManliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao. 259-268 [doi]
• ATL: Autonomous Knowledge Transfer from Many Streaming ProcessesMahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu 0001. 269-278 [doi]
• Knowledge Transfer based on Multiple Manifolds AssumptionPengfei Wei, Yiping Ke. 279-287 [doi]
• Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation LearningZhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu. 289-298 [doi]
• A Deep Neural Framework for Sales Forecasting in E-CommerceYan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng. 299-308 [doi]
• An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search EngineYatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao. 309-318 [doi]
• AIBox: CTR Prediction Model Training on a Single NodeWeijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li 0001. 319-328 [doi]
• Improving Ad Click Prediction by Considering Non-displayed EventsBo-Wen Yuan, Jui-Yang Hsia, Meng-Yuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin. 329-338 [doi]
• Approximation Algorithms for Coordinating Ad Campaigns on Social NetworksKartik Lakhotia, David Kempe 0001. 339-348 [doi]
• Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate PredictionYikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao. 349-358 [doi]
• Conversational Product Search Based on Negative FeedbackKeping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft. 359-368 [doi]
• Learning to Ask: Question-based Sequential Bayesian Product SearchJie Zou, Evangelos Kanoulas. 369-378 [doi]
• A Zero Attention Model for Personalized Product SearchQingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft. 379-388 [doi]
• Learning to Generate Personalized Product DescriptionsGuy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky. 389-398 [doi]
• Fast and Accurate Network Embeddings via Very Sparse Random ProjectionHaochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena. 399-408 [doi]
• Hierarchical Community Structure Preserving Network Embedding: A Subspace ApproachQingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin. 409-418 [doi]
• Collective Link Prediction Oriented Network Embedding with Hierarchical Graph AttentionYizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu. 419-428 [doi]
• Discerning Edge Influence for Network EmbeddingYaojing Wang, Yuan Yao 0001, Hanghang Tong, Feng Xu 0007, Jian Lu 0001. 429-438 [doi]
• Constrained Co-embedding Model for User Profiling in Question Answering CommunitiesYupeng Luo, Shangsong Liang, Zaiqiao Meng. 439-448 [doi]
• Hyper-Path-Based Representation Learning for Hyper-NetworksJie Huang 0009, Xin Liu 0020, Yangqiu Song. 449-458 [doi]
• Multi-Hot Compact Network EmbeddingChaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li. 459-468 [doi]
• Temporal Network Embedding with Micro- and Macro-dynamicsYuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye. 469-478 [doi]
• MrMine: Multi-resolution Multi-network EmbeddingBoxin Du, Hanghang Tong. 479-488 [doi]
• Task-Guided Pair Embedding in Heterogeneous NetworkChanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han 0001, Hwanjo Yu. 489-498 [doi]
• Graph Convolutional Networks with Motif-based AttentionJohn Boaz Lee, Ryan A. Rossi, Xiangnan Kong, SungChul Kim, Eunyee Koh, Anup Rao. 499-508 [doi]
• Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional NetworkMengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie. 509-518 [doi]
• Hashing Graph Convolution for Node ClassificationWenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang 0003. 519-528 [doi]
• Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce RecommendationFengli Xu, Jianxun Lian, ZhenYu Han, Yong Li, Yujian Xu, Xing Xie 0001. 529-538 [doi]
• Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR PredictionZekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang. 539-548 [doi]
• Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding FrameworkYiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi. 549-558 [doi]
• Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network ApproachChangjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu. 559-568 [doi]
• Multiple Rumor Source Detection with Graph Convolutional NetworksMing Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, Guohui Li. 569-578 [doi]
• Rethinking the Item Order in Session-based Recommendation with Graph Neural NetworksRuihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin. 579-588 [doi]
• Gravity-Inspired Graph Autoencoders for Directed Link PredictionGuillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis. 589-598 [doi]
• Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context GranularityYu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim 0002, Jiawei Han 0001. 599-608 [doi]
• αCyber: Enhancing Robustness of Android Malware Detection System against Adversarial Attacks on Heterogeneous Graph based ModelShifu Hou, Yujie Fan, Yiming Zhang, Yanfang Ye, Jingwei Lei, Wenqiang Wan, Jiabin Wang, Qi Xiong, Fudong Shao. 609-618 [doi]
• BHIN2vec: Balancing the Type of Relation in Heterogeneous Information NetworkSeonghyeon Lee, Chanyoung Park, Hwanjo Yu. 619-628 [doi]
• Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity ResolutionHao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong. 629-638 [doi]
• HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network EmbeddingYu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng. 639-648 [doi]
• EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph PropagationXiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu. 649-658 [doi]
• A Fine-grained and Noise-aware Method for Neural Relation ExtractionJianfeng Qu, Wen-hua, Dantong Ouyang, Xiaofang Zhou, XiMing Li. 659-668 [doi]
• Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic RelationsXiongnan Jin, Byungkook Oh, SangHak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen. 669-678 [doi]
• Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific NetworksYuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang. 679-688 [doi]
• A Benchmark for Fact Checking Algorithms Built on Knowledge BasesViet-Phi Huynh, Paolo Papotti. 689-698 [doi]
• Online Schemaless Querying of Heterogeneous Open Knowledge BasesNikita Bhutani, H. V. Jagadish. 699-708 [doi]
• Enhancing Conversational Dialogue Models with Grounded KnowledgeWen Zheng, Ke Zhou. 709-718 [doi]
• MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical DataYang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei. 719-728 [doi]
• Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context ExpansionPhilipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum. 729-738 [doi]
• Learning to Answer Complex Questions over Knowledge Bases with Query CompositionNikita Bhutani, Xinyi Zheng, H. V. Jagadish. 739-748 [doi]
• Auto-completion for Data Cells in Relational TablesShuo Zhang 0006, Krisztian Balog. 761-770 [doi]
• Author Set Identification via Quasi-Clique DiscoveryYuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye. 771-780 [doi]
• AdaFair: Cumulative Fairness Adaptive BoostingVasileios Iosifidis, Eirini Ntoutsi. 781-790 [doi]
• New Online Kernel Ridge Regression via Incremental Predictive SamplingShan Xu, Xiao Zhang, Shizhong Liao. 791-800 [doi]
• Online Kernel Selection via Tensor SketchingShizhong Liao, Xiao Zhang. 801-810 [doi]
• One-Class Active Learning for Outlier Detection with Multiple SubspacesHolger Trittenbach, Klemens Böhm. 811-820 [doi]
• AutoGRD: Model Recommendation Through Graphical Dataset RepresentationNoy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein. 821-830 [doi]
• Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample SelectionYao Tan, Liu Yang, Qinghua Hu, Zhibin Du. 831-840 [doi]
• CRUX: Adaptive Querying for Efficient Crowdsourced Data ExtractionTheodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran. 841-850 [doi]
• Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLSZiqing Zhang, Cuicui Kang, Gang Xiong, Zhen Li. 851-860 [doi]
• N2N: Network Derivative MiningJian Kang, Hanghang Tong. 861-870 [doi]
• MoBoost: A Self-improvement Framework for Linear-based HashingXingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu 0002, Yilong Yin. 871-880 [doi]
• Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse LearningXiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu. 881-890 [doi]
• EPA: Exoneration and Prominence based Age for Infection Source IdentificationSyed Shafat Ali, Tarique Anwar, Ajay Rastogi, Syed Afzal Murtaza Rizvi. 891-900 [doi]
• Generating Persuasive Visual Storylines for Promotional VideosChang Liu, Yi Dong, Han Yu 0001, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, LiZhen Cui, Chunyan Miao. 901-910 [doi]
• Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming AssignmentsVictor J. Marin, Carlos R. Rivero. 911-920 [doi]
• Going Beyond Content Richness: Verified Information Aware Summarization of Crisis-Related MicroblogsAshish Sharma 0004, Koustav Rudra, Niloy Ganguly. 921-930 [doi]
• Declarative User Selection with Soft ConstraintsYael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann. 931-940 [doi]
• #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in TwitterPradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu 0001. 941-950 [doi]
• MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational InteractionYucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert. 951-960 [doi]
• Discovering Polarized Communities in Signed NetworksFrancesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo. 961-970 [doi]
• Model-based Constrained MDP for Budget Allocation in Sequential Incentive MarketingShuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang. 971-980 [doi]
• Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and CountermeasuresParisa Kaghazgaran, Majid Alfifi, James Caverlee. 981-990 [doi]
• Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech ClassificationGeorgios Rizos, Konstantin Hemker, Björn W. Schuller. 991-1000 [doi]
• Nested Relation Extraction with Iterative Neural NetworkYixuan Cao, Dian Chen, Hongwei Li, Ping Luo 0001. 1001-1010 [doi]
• Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of CharactersYun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai. 1011-1020 [doi]
• Sentiment Commonsense Induced Sequential Neural Networks for Sentiment ClassificationShiyun Chen, Xin Lin, Yanghua Xiao, Liang He 0001. 1021-1030 [doi]
• Interactive Multi-Grained Joint Model for Targeted Sentiment AnalysisDa Yin, Xiao Liu, Xiaojun Wan. 1031-1040 [doi]
• Beyond word2vec: Distance-graph Tensor Factorization for Word and Document EmbeddingsSuhang Wang, Charu C. Aggarwal, Huan Liu 0001. 1041-1050 [doi]
• Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network ApproachWei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang. 1051-1060 [doi]
• A Semantics Aware Random Forest for Text ClassificationMd. Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu 0003, Wei Kang 0004. 1061-1070 [doi]
• Federated Topic ModelingDi Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang. 1071-1080 [doi]
• Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching NetworkHeyuan Wang, Ziyi Wu, Junyu Chen. 1081-1090 [doi]
• Sentiment Lexicon Enhanced Neural Sentiment ClassificationChuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie 0001. 1091-1100 [doi]
• ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial LearningYong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang. 1101-1110 [doi]
• Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances MethodShuai Yao, Yuexian Hou, Liangzhu Ge, Zeting Hu. 1111-1120 [doi]
• Attention-Residual Network with CNN for Rumor DetectionYixuan Chen, Jie Sui, Liang Hu, Wei Gong. 1121-1130 [doi]
• Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise SamplesWenjin Yan, Ruixuan Li, Jun Wang, Yuhua Li, Jinyang Wang, Pan Zhou, Xiwu Gu. 1131-1140 [doi]
• CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural NetworksHongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin. 1141-1149 [doi]
• Dynamic Collaborative Recurrent LearningTeng Xiao, Shangsong Liang, Zaiqiao Meng. 1151-1160 [doi]
• AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural NetworksWeiping Song, Chence Shi, Zhiping Xiao 0001, Zhijian Duan, Yewen Xu, Ming Zhang 0004, Jian Tang. 1161-1170 [doi]
• Automatic Construction of Multi-layer Perceptron Network from Streaming ExamplesMahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding 0001. 1171-1180 [doi]
• Robust Embedded Deep K-means ClusteringRui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu. 1181-1190 [doi]
• Discovering Interesting Cycles in Directed GraphsFlorian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt. 1191-1200 [doi]
• FLEET: Butterfly Estimation from a Bipartite Graph StreamSeyed-Vahid Sanei-Mehri, Yu Zhang, Ahmet Erdem Sariyüce, Srikanta Tirthapura. 1201-1210 [doi]
• Selecting the Optimal Groups: Efficiently Computing Skyline k-CliquesChen Zhang, Wenjie Zhang 0001, Ying Zhang 0002, Lu Qin, Fan Zhang, Xuemin Lin. 1211-1220 [doi]
• Balance in Signed Bipartite NetworksTyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang. 1221-1230 [doi]
• k-path CentralitiesMostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem. 1231-1240 [doi]
• Interactive Variance Attention based Online Spoiler Detection for Time-Sync CommentsWenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo. 1241-1250 [doi]
• Detecting Malicious Accounts in Online Developer Communities Using Deep LearningQingyuan Gong, Jiayun Zhang, Yang Chen 0001, Qi Li 0002, Yu Xiao, Xin Wang, Pan Hui. 1251-1260 [doi]
• Exploring Multi-Objective Exercise Recommendations in Online Education SystemsZhenya Huang, Qi Liu, ChengXiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu. 1261-1270 [doi]
• Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online DiscussionSubhabrata Dutta, Dipankar Das 0001, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Tanmoy Chakraborty 0002. 1271-1280 [doi]
• Offline and Online Satisfaction Prediction in Open-Domain Conversational SystemsJason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein. 1281-1290 [doi]
• Privacy-Preserving Tensor Factorization for Collaborative Health Data AnalysisJing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong 0001, Xiaoqian Jiang. 1291-1300 [doi]
• Achieve Privacy-Preserving Truth Discovery in Crowdsensing SystemsJianchao Tang, Shaojing Fu, Ming Xu, Yuchuan Luo, Kai Huang. 1301-1310 [doi]
• Privacy-preserving Crowd-guided AI Decision-making in Ethical DilemmasTeng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi. 1311-1320 [doi]
• Privacy Preserving Approximate K-means ClusteringChandan Biswas, Debasis Ganguly, Dwaipayan Roy, Ujjwal Bhattacharya. 1321-1330 [doi]
• Practical Access Pattern Privacy by Combining PIR and Oblivious ShuffleZhilin Zhang, Ke Wang 0001, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong. 1331-1340 [doi]
• A Hybrid Retrieval-Generation Neural Conversation ModelLiu Yang 0005, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu. 1341-1350 [doi]
• A Latent-Constrained Variational Neural Dialogue Model for Information-Rich ResponsesYanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang. 1351-1360 [doi]
• Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task LearningXinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu 0001. 1361-1370 [doi]
• ConCET: Entity-Aware Topic Classification for Open-Domain Conversational AgentsAli Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein. 1371-1380 [doi]
• An Interactive Mechanism to Improve Question Answering Systems via FeedbackXinbo Zhang, Lei Zou 0001, Sen Hu. 1381-1390 [doi]
• Attentive History Selection for Conversational Question AnsweringChen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer. 1391-1400 [doi]
• Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional InteractionWei Wei 0002, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu. 1401-1410 [doi]
• Commonsense Properties from Query Logs and Question Answering ForumsJulien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum. 1411-1420 [doi]
• Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A PlatformsAvikalp Srivastava, Hsin Wen Liu, Sumio Fujita. 1421-1430 [doi]
• Message Passing for Complex Question Answering over Knowledge GraphsSvitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez. 1431-1440 [doi]
• BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from TransformerFei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang. 1441-1450 [doi]
• Adaptive Feature Sampling for Recommendation with Missing Content Feature ValuesShaoyun Shi, Min Zhang, Xinxing Yu, Yongfeng Zhang, Bin Hao, Yiqun Liu, Shaoping Ma. 1451-1460 [doi]
• A Dynamic Co-attention Network for Session-based RecommendationWanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke. 1461-1470 [doi]
• Attributed Multi-Relational Attention Network for Fact-checking URL RecommendationDi You, Nguyen Vo, Kyumin Lee, Qiang Liu. 1471-1480 [doi]
• A Hierarchical Self-Attentive Model for Recommending User-Generated Item ListsYun He, Jianling Wang, Wei Niu, James Caverlee. 1481-1490 [doi]
• HAES: A New Hybrid Approach for Movie Recommendation with Elastic SerendipityXueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu 0001, Guojun Wang. 1503-1512 [doi]
• DBRec: Dual-Bridging Recommendation via Discovering Latent GroupsJingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li 0001. 1513-1522 [doi]
• Candidate Generation with Binary Codes for Large-Scale Top-N RecommendationWang-Cheng Kang, Julian John McAuley. 1523-1532 [doi]
• DTCDR: A Framework for Dual-Target Cross-Domain RecommendationFeng Zhu, Chaochao Chen, Yan Wang 0002, Guanfeng Liu, Xiaolin Zheng. 1533-1542 [doi]
• Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic ModelingKyeongpil Kang, Junwoo Park, WooYoung Kim, Hojung Choe, Jaegul Choo. 1543-1552 [doi]
• A Spatio-temporal Recommender System for On-demand CinemasTaofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian. 1553-1562 [doi]
• Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start UsersSeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu. 1563-1572 [doi]
• Leveraging Ratings and Reviews with Gating Mechanism for RecommendationHaifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun. 1573-1582 [doi]
• Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual InfluenceYin Zhang, James Caverlee. 1583-1592 [doi]
• What Can History Tell Us?Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen. 1593-1602 [doi]
• Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement LearningJunqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang 0006, Shaoping Ma, Jun Xu, Qi Tian. 1603-1612 [doi]
• A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio ManagementSi Shi, Jianjun Li, Guohui Li, Peng Pan. 1613-1622 [doi]
• Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement LearningShanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma 0001, Maarten de Rijke. 1623-1632 [doi]
• Reinforcement Learning with Sequential Information Clustering in Real-Time BiddingJunwei Lu, Chaoqi Yang, Xiaofeng Gao, Liubin Wang, Changcheng Li, Guihai Chen. 1633-1641 [doi]
• Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA SystemYe Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu. 1643-1652 [doi]
• Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief DynamicsSuppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa. 1653-1662 [doi]
• Identifying Facet Mismatches In Search Via MicrographsSriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor. 1663-1672 [doi]
• GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search EngineMinjia Zhang, Yuxiong He. 1673-1682 [doi]
• Improving Web Image Search with Contextual InformationXiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma. 1683-1692 [doi]
• Dynamic Bayesian Metric Learning for Personalized Product SearchTeng Xiao, JiaXin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang. 1693-1702 [doi]
• Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature ExtractorJingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu. 1703-1712 [doi]
• Locally Slope-based Dynamic Time Warping for Time Series ClassificationJidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang. 1713-1722 [doi]
• HiCAN: Hierarchical Convolutional Attention Network for Sequence ModelingYi Cao, Weifeng Zhang, Bo Song, Congfu Xu. 1723-1732 [doi]
• Automatic Sequential Pattern Mining in Data StreamsKouki Kawabata, Yasuko Matsubara, Yasushi Sakurai. 1733-1742 [doi]
• Efficient Sequential and Parallel Algorithms for Estimating Higher Order SpectraZigeng Wang, Abdullah-Al Mamun 0002, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran. 1743-1752 [doi]
• A Modular Adversarial Approach to Social RecommendationAdit Krishnan, Hari Cheruvu, Cheng Tao, Hari Sundaram. 1753-1762 [doi]
• Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network CommunitiesXiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang. 1763-1772 [doi]
• Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor FactorizationHsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu. 1773-1782 [doi]
• Tracking Top-k Influential Users with Relative ErrorsYu Yang 0001, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen. 1783-1792 [doi]
• NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural NetworkMohammad Raihanul Islam, Sathappan Muthiah, Naren Ramakrishnan. 1793-1802 [doi]
• In2Rec: Influence-based Interpretable RecommendationHuafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang. 1803-1812 [doi]
• Accounting for Temporal Dynamics in Document StreamsZhendong Chu, Renqin Cai, Hongning Wang. 1813-1822 [doi]
• How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer RepresentationsBetty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers. 1823-1832 [doi]
• Patterns of Search Result Examination: Query to First ActionMustafa Abualsaud, Mark D. Smucker. 1833-1842 [doi]
• A Dynamic Product-aware Learning Model for E-commerce Query Intent UnderstandingJiashu Zhao, Hongshen Chen, Dawei Yin. 1843-1852 [doi]
• Scalable Causal Graph Learning through a Deep Neural NetworkChenxiao Xu, Hao Huang, Shinjae Yoo. 1853-1862 [doi]
• Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature SelectionBabak Hosseini, Barbara Hammer. 1863-1872 [doi]
• BePT: A Behavior-based Process Translator for Interpreting and Understanding Process ModelsChen Qian, Lijie Wen, Akhil Kumar 0001. 1873-1882 [doi]
• Towards Effective and Interpretable Person-Job FittingRan Le, Wenpeng Hu, Yang Song, Tao Zhang, Dongyan Zhao 000, Rui Yan 0001. 1883-1892 [doi]
• Leveraging Graph Neighborhoods for Efficient InferenceMelisachew Wudage Chekol, Heiner Stuckenschmidt. 1893-1902 [doi]
• STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen ComplaintsJingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu. 1903-1912 [doi]
• CoLight: Learning Network-level Cooperation for Traffic Signal ControlHua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang 0001, Yanmin Zhu, Kai Xu, Zhenhui Li. 1913-1922 [doi]
• Learning to Effectively Estimate the Travel Time for Fastest Route RecommendationNing Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin. 1923-1932 [doi]
• PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural NetworkYige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng. 1933-1942 [doi]
• Active Collaborative Sensing for Energy BreakdownYiling Jia, Nipun Batra 0001, Hongning Wang, Kamin Whitehouse. 1943-1952 [doi]
• Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN ModelYushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du. 1953-1962 [doi]
• Learning Phase Competition for Traffic Signal ControlGuanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li. 1963-1972 [doi]
• Path Travel Time Estimation using Attribute-related Hybrid Trajectories NetworkXi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick. 1973-1982 [doi]
• CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing PlatformsJiarui Jin, Ming Zhou, Weinan Zhang 0001, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye. 1983-1992 [doi]
• Unsupervised Representation Learning of Spatial Data via Multimodal EmbeddingPorter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li. 1993-2002 [doi]
• Rating Mechanisms for Sustainability of Crowdsourcing PlatformsChenxi Qiu, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer. 2003-2012 [doi]
• Exploring The Interaction Effects for Temporal Spatial Behavior PredictionHuan Yang, Tianyuan Liu, Yuqing Sun, Elisa Bertino. 2013-2022 [doi]
• Social Cards Probably Provide For Better Understanding Of Web Archive CollectionsShawn M. Jones, Michele C. Weigle, Michael L. Nelson. 2023-2032 [doi]
• Learning from Dynamic User Interaction Graphs to Forecast Diverse Social BehaviorPrasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova. 2033-2042 [doi]
• Understanding Default Behavior in Online LendingYang Yang 0009, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu. 2043-2052 [doi]
• Interpretable MTL from Heterogeneous Domains using Boosted TreeYa Lin Zhang, Longfei Li. 2053-2056 [doi]
• Machine Reading Comprehension: Matching and OrdersAo Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu. 2057-2060 [doi]
• Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed DecoderYufei Tian, Jianfei Yu, Jing Jiang 0001. 2061-2064 [doi]
• Datalog Reasoning over Compressed RDF Knowledge BasesPan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks. 2065-2068 [doi]
• An Explainable Deep Fusion Network for Affect Recognition Using Physiological SignalsJionghao Lin, Shirui Pan, Cheng-Siong Lee, Sharon L. Oviatt. 2069-2072 [doi]
• MarlRank: Multi-agent Reinforced Learning to RankShihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang. 2073-2076 [doi]
• LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer LearningDiandian Gu, Ziniu Hu, Shangchen Du, Yun Ma. 2077-2080 [doi]
• NAD: Neural Network Aided Design for Textile Pattern GenerationZhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen 0001. 2081-2084 [doi]
• Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training AlgorithmXiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen. 2085-2088 [doi]
• Fine-Grained Geolocalization of User-Generated Short Text based on Weight Probability ModelCongjie Gao, Yongjnu Li, Jiaqi Yang. 2089-2092 [doi]
• A Compare-Aggregate Model with Latent Clustering for Answer SelectionSeunghyun Yoon 0002, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung. 2093-2096 [doi]
• Spotting Terrorists by Learning Behavior-aware Heterogeneous Network EmbeddingPei-Chi Wang, Cheng-Te Li. 2097-2100 [doi]
• Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean DiscrepancyJun Wu, Jingrui He. 2101-2104 [doi]
• Tensor Decomposition-based Node EmbeddingShah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk. 2105-2108 [doi]
• Geometric Estimation of Specificity within Embedding SpacesNegar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic, Ebrahim Bagheri. 2109-2112 [doi]
• Similarity-Aware Network Embedding with Self-Paced LearningChao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla. 2113-2116 [doi]
• Integrating Multi-Network Topology via Deep Semi-supervised Node EmbeddingHansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang. 2117-2120 [doi]
• Query-Specific Knowledge Summarization with Entity Evolutionary NetworksCarl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han 0001. 2121-2124 [doi]
• Real-time Edge Repartitioning for Dynamic GraphHe Li, Hang Yuan, Jianbin Huang. 2125-2128 [doi]
• DSANet: Dual Self-Attention Network for Multivariate Time Series ForecastingSiteng Huang, Donglin Wang, Xuehan Wu, Ao Tang. 2129-2132 [doi]
• Time Series Prediction with Interpretable Data ReconstructionQiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang. 2133-2136 [doi]
• Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention NetworksZhining Liu, Dawei Zhou, Jingrui He. 2137-2140 [doi]
• Deep Prototypical Networks for Imbalanced Time Series Classification under Data ScarcityChao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla. 2141-2144 [doi]
• Knowledge-aware Textual Entailment with Graph Attention NetworkDaoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen. 2145-2148 [doi]
• Fast Approximations of Betweenness Centrality with Graph Neural NetworksSunil Kumar Maurya, Xin Liu, Tsuyoshi Murata. 2149-2152 [doi]
• Neighborhood Interaction Attention Network for Link PredictionZhitao Wang, Yu Lei, Wenjie Li. 2153-2156 [doi]
• Long-short Distance Aggregation Networks for Positive Unlabeled Graph LearningMan Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du. 2157-2160 [doi]
• Using External Knowledge for Financial Event Prediction Based on Graph Neural NetworksYiying Yang, Zhongyu Wei, Qin Chen, Libo Wu. 2161-2164 [doi]
• Cross-Domain Recommendation via Preference Propagation GraphNetCheng Zhao, Chenliang Li, Cong Fu. 2165-2168 [doi]
• ARP: Aspect-aware Neural Review Rating PredictionChuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie 0001. 2169-2172 [doi]
• CosRec: 2D Convolutional Neural Networks for Sequential Recommendationan Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley. 2173-2176 [doi]
• Data Poisoning Attacks on Cross-domain RecommendationHuiyuan Chen, Jing Li. 2177-2180 [doi]
• Session-based Recommendation with Hierarchical Memory NetworksBo Song, Yi Cao, Weifeng Zhang, Congfu Xu. 2181-2184 [doi]
• Correcting for Recency Bias in Job RecommendationRuey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft. 2185-2188 [doi]
• Motif Enhanced Recommendation over Heterogeneous Information NetworkHuan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee. 2189-2192 [doi]
• GPU-Accelerated Decoding of Integer ListsAntonio Mallia, Michal Siedlaczek, Torsten Suel, Mohamed Zahran. 2193-2196 [doi]
• Synergizing Local and Global Models for Matrix ApproximationChao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang. 2197-2200 [doi]
• Deep Colorization by VariationZineng Tang. 2201-2204 [doi]
• Fast Random Forest Algorithm via Incremental Upper BoundYasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda. 2205-2208 [doi]
• Convolution-Consistent Collective Matrix CompletionXu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan. 2209-2212 [doi]
• k-Regret Minimizing Sets via Monotonicity and SamplingQi Dong, Jiping Zheng. 2213-2216 [doi]
• Towards Stochastic Simulations of Relevance ProfilesKevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro. 2217-2220 [doi]
• SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed NetworksYuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou. 2233-2236 [doi]
• On Continuously Matching of Evolving Graph PatternsQianzhen Zhang, Deke Guo, Xiang Zhao 0002, Aibo Guo. 2237-2240 [doi]
• Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous LabelingWon-Seok Hwang, Jeong-Han Yun, Jonguk Kim, HyoungChun Kim. 2241-2244 [doi]
• Additive Explanations for Anomalies Detected from Multivariate Temporal DataIoana Giurgiu, Anika Schumann. 2245-2248 [doi]
• ED2: A Case for Active Learning in Error DetectionFelix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan. 2249-2252 [doi]
• Multi-scale Trajectory Clustering to Identify Corridors in Mobile NetworksLi Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie. 2253-2256 [doi]
• Multi-view Moments Embedding Network for 3D Shape RecognitionJun Xiao, Yuanxing Zhang, Pengyu Zhao, Kecheng Xiao, Kaigui Bian, Chunli Zhang, Wei Yan. 2257-2260 [doi]
• Active Entity Recognition in Low Resource SettingsNing Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan. 2261-2264 [doi]
• On Novel Object Recognition: A Unified Framework for Discriminability and AdaptabilityKai Li, Martin Renqiang Min, Bing Bai, Yun Fu 0001, Hans Peter Graf. 2265-2268 [doi]
• Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCanwen Xu, Feiyang Wang, Jialong Han, Chenliang Li. 2269-2272 [doi]
• Gate-based Bidirectional Interactive Decoding Network for Scene Text RecognitionYunze Gao, Yingying Chen 0003, Jinqiao Wang, Hanqing Lu. 2273-2276 [doi]
• Modeling Long-Range Context for Concurrent Dialogue Acts RecognitionYue Yu, Siyao Peng, Grace Hui Yang. 2277-2280 [doi]
• Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with BusinessesDenis Shaposhnikov, Anastasia A. Bezzubtseva, Ekaterina Gladkikh, Alexey Drutsa. 2281-2284 [doi]
• Heterogeneous Components Fusion Network for Load Forecasting of Charging StationsKai Li, Fei Yu, Cheng Feng 0001, Tian Xia. 2285-2288 [doi]
• Learning Traffic Signal Control from DemonstrationsYuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li. 2289-2292 [doi]
• Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand PredictionLei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang 0001, Wei Liu, Zheng Yang. 2293-2296 [doi]
• Collaborative Analysis for Computational Risk in Urban Water Supply SystemsDi Wu, Hao Wang, Razak Seidu. 2297-2300 [doi]
• Long- and Short-term Preference Learning for Next POI RecommendationYuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian. 2301-2304 [doi]
• Cluster-Based Focused RetrievalEilon Sheetrit, Oren Kurland. 2305-2308 [doi]
• Cross-modal Image-Text Retrieval with Multitask LearningJunyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang 0007. 2309-2312 [doi]
• A Unified Generation-Retrieval Framework for Image CaptioningChunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian. 2313-2316 [doi]
• A Lossy Compression Method on Positional Index for Efficient and Effective RetrievalShuni Gao, Jipeng Liu, Xiaoguang Liu, Gang Wang 0001. 2317-2320 [doi]
• Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based ChatbotsJia-Chen Gu, Zhen-Hua Ling, Quan Liu. 2321-2324 [doi]
• Analysis of Adaptive Training for Learning to Rank in Information RetrievalSaar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, ChengXiang Zhai. 2325-2328 [doi]
• QPIN: A Quantum-inspired Preference Interactive Network for E-commerce RecommendationPanpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge. 2329-2332 [doi]
• A Study of Context Dependencies in Multi-page Product SearchKeping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft. 2333-2336 [doi]
• Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerceZhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao 0001, Haiqing Chen, Rui Yan. 2337-2340 [doi]
• Neural Review Rating Prediction with User and Product MemoryZhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie. 2341-2344 [doi]
• Intent Term Weighting in E-commerce QueriesSaurav Manchanda, Mohit Sharma, George Karypis. 2345-2348 [doi]
• Fine-Grained Product Categorization in E-commerceHongshen Chen, Jiashu Zhao, Dawei Yin. 2349-2352 [doi]
• Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained FeaturesMiao Fan, Yeqi Bai, Mingming Sun, Ping Li. 2353-2356 [doi]
• Meta-GNN: On Few-shot Node Classification in Graph Meta-learningFan Zhou 0002, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng. 2357-2360 [doi]
• Enriching Pre-trained Language Model with Entity Information for Relation ClassificationShanchan Wu, Yifan He. 2361-2364 [doi]
• Unsupervised Concept Drift Detection with a Discriminative ClassifierÖmer Gözüaçik, Alican Büyükçakir, Hamed R. Bonab, Fazli Can. 2365-2368 [doi]
• Hybrid Deep Pairwise Classification for Author Name DisambiguationKunho Kim, Shaurya Rohatgi, C. Lee Giles. 2369-2372 [doi]
• Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia ArticlesMarius Pasca. 2373-2376 [doi]
• Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial NetsZhaoyu Zhang, Changwei Luo, Jun Yu. 2377-2380 [doi]
• Generating Paraphrase with Topic as Prior KnowledgeYuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang 0005. 2381-2384 [doi]
• Sexual Harassment Story Classification and Key Information IdentificationYingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si. 2385-2388 [doi]
• Neural Review Summarization Leveraging User and Product InformationHui Liu, Xiaojun Wan 0001. 2389-2392 [doi]
• Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task LearningJiangnan Xia, Chen Wu, Ming Yan. 2393-2396 [doi]
• DIRT: Deep Learning Enhanced Item Response Theory for Cognitive DiagnosisSong Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu. 2397-2400 [doi]
• Neural Gender Prediction in Microblogging with Emotion-aware User RepresentationChuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie 0001. 2401-2404 [doi]
• Health Card Retrieval for Consumer Health Search: An Empirical Investigation of MethodsJimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini. 2405-2408 [doi]
• NICE: Neural In-Hospital Cost Estimation from Medical RecordsChuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie. 2409-2412 [doi]
• Modeling Sentiment Evolution for Social IncidentsYunjie Wang, Hui Li, Chen Lin. 2413-2416 [doi]
• Adaptive Feature Redundancy MinimizationRui Zhang, Hanghang Tong, Yifan Hu. 2417-2420 [doi]
• Finding a Maximum Clique in Dense Graphs via χ2 StatisticsSourav Dutta, Juho Lauri. 2421-2424 [doi]
• On Heavy-user Bias in A/B TestingYu Wang, Somit Gupta, Jiannan Lu, Ali Mahmoudzadeh, Sophia Liu. 2425-2428 [doi]
• Adversarial Training of Gradient-Boosted Decision TreesStefano Calzavara, Claudio Lucchese, Gabriele Tolomei. 2429-2432 [doi]
• Adversarial Structured Neural Network PruningXingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran. 2433-2436 [doi]
• Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic ProgrammingTimothy van Bremen, Anton Dries, Jean Christoph Jung. 2437-2440 [doi]
• Query Embedding Learning for Context-based Social SearchYi-Chun Chen, Yu-Che Tsai, Cheng-Te Li. 2441-2444 [doi]
• Towards More Usable Dataset Search: From Query Characterization to Snippet GenerationJinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu. 2445-2448 [doi]
• Session-based Search Behavior in Naturalistic Settings for Learning-related TasksSouvick Ghosh, Chirag Shah. 2449-2452 [doi]
• Best Co-Located Community Search in Attributed NetworksJiehuan Luo, Xin Cao, Xike Xie, Qiang Qu. 2453-2456 [doi]
• Caching Scores for Faster Query Processing with Dynamic Pruning in Search EnginesErman Yafay, Ismail Sengor Altingovde. 2457-2460 [doi]
• Investigating the Learning Process in Job Search: A Longitudinal StudyJiaxin Mao, Damiano Spina, Sargol Sadeghi, Falk Scholer, Mark Sanderson. 2461-2464 [doi]
• Set Reconciliation with Cuckoo FiltersLailong Luo, Deke Guo, Ori Rottenstreich, Richard T. B. Ma, Xueshan Luo. 2465-2468 [doi]
• Shared-Nothing Distributed Enumeration of 2-PlexesAlessio Conte, Donatella Firmani, Maurizio Patrignani, Riccardo Torlone. 2469-2472 [doi]
• Estimating the Number of Distinct Items in a Database by SamplingRoel Apfelbaum. 2473-2476 [doi]
• Cost-effective Resource Provisioning for Spark WorkloadsYuxing Chen, Jiaheng Lu, Chen Chen, Mohammad Hoque, Sasu Tarkoma. 2477-2480 [doi]
• A Sampling-Based System for Approximate Big Data Analysis on Computing ClustersSalman Salloum, Yinxu Wu, Joshua Zhexue Huang. 2481-2484 [doi]
• TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search SessionsJia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma. 2485-2488 [doi]
• Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search RelevanceYanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin. 2489-2497 [doi]
• Reinforcement Learning in E-commerce Sponsored Search AdvertisingYusi Zhang, Zhi Yang, Liang Wang, Li He. 2499-2507 [doi]
• Cross-domain Attention Network with Wasserstein Regularizers for E-commerce SearchMinghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao. 2509-2515 [doi]
• Conceptualize and Infer User Needs in E-commerceXusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang. 2517-2525 [doi]
• Learning to Advertise for Organic Traffic Maximization in E-Commerce Product FeedsDagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai. 2527-2535 [doi]
• System Deterioration Detection and Root Cause Learning on Time Series GraphsHao Huang, Shinjae Yoo, Yunwen Xu. 2537-2545 [doi]
• A Dynamic Default Prediction Framework for Networked-guarantee LoansDawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang 0001. 2547-2555 [doi]
• Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini NativeMorelle Arian, Eliran Abutbul, Michal Aharon, Yair Koren, Oren Somekh, Rotem Stram. 2557-2565 [doi]
• Large-Scale Visual Search with Binary Distributed Graph at AlibabaKang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin. 2567-2575 [doi]
• Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment MarketingZiqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi. 2577-2584 [doi]
• Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRUYu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai. 2585-2593 [doi]
• Learning Adaptive Display Exposure for Real-Time AdvertisingWeixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen 0004, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai. 2595-2603 [doi]
• What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start ProblemZhichen Zhao, Lei Li, Bowen Zhang, Meng Wang, Yuning Jiang, Li Xu, Fengkun Wang, Wei-Ying Ma. 2605-2613 [doi]
• Multi-Interest Network with Dynamic Routing for Recommendation at TmallChao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee. 2615-2623 [doi]
• Learning to be Relevant: Evolution of a Course Recommendation SystemShivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey Gee, Deepak Kumar. 2625-2633 [doi]
• SDM: Sequential Deep Matching Model for Online Large-scale Recommender SystemFuYu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng. 2635-2643 [doi]
• Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution MatchingMing Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye. 2645-2653 [doi]
• MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban DataMiao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang. 2655-2663 [doi]
• CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization ApproachXiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng. 2665-2671 [doi]
• Deep Dynamic Fusion Network for Traffic Accident ForecastingChao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo. 2673-2681 [doi]
• Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow PredictionZheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng. 2683-2691 [doi]
• Semantically Driven Auto-completionKonstantine Arkoudas, Mohamed Yahya. 2693-2701 [doi]
• Spam Review Detection with Graph Convolutional NetworksAo Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li. 2703-2711 [doi]
• Industry Specific Word Embedding and its Application in Log ClassificationElham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni. 2713-2721 [doi]
• Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical ExpertsTian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy. 2723-2731 [doi]
• Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast FurnacesKeeyoung Kim, Byeongrak Seo, Sang-Hoon Rhee, Seungmoon Lee, Simon S. Woo. 2733-2741 [doi]
• Deep Graph Similarity Learning for Brain Data AnalysisGuixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu. 2743-2751 [doi]
• How to Find It Better?: Cross-Learning for WeChat Mini ProgramsHe Li, Zhiqiang Liu, Sheng Xu, Zhiyuan Lin, Xiangqun Chen. 2753-2761 [doi]
• Job2Vec: Job Title Benchmarking with Collective Multi-View Representation LearningDenghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong. 2763-2771 [doi]
• Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable DevicesJyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell. 2773-2781 [doi]
• Fine-Grained Fuel Consumption PredictionChenguang Fang, Shaoxu Song, Zhiwei Chen, Acan Gui. 2783-2791 [doi]
• Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini NativeMichal Aharon, Yohay Kaplan, Rina Levy, Oren Somekh, Ayelet Blanc, Neetai Eshel, Avi Shahar, Assaf Singer, Alex Zlotnik. 2793-2801 [doi]
• Adversarial Factorization Autoencoder for Look-alike ModelingKhoa D. Doan, Pranjul Yadav, Chandan K. Reddy. 2803-2812 [doi]
• Concept Drift Adaption for Online Anomaly Detection in Structural Health MonitoringHongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang 0002, Fang Chen. 2813-2821 [doi]
• Multi-task based Sales Predictions for Online PromotionsShen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang 0001. 2823-2831 [doi]
• Experimental Study of Multivariate Time Series Forecasting ModelsJiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao. 2833-2839 [doi]
• GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online GamesJianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye, Sha Zhao. 2841-2849 [doi]
• Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored SearchXiao Yang, Tao Deng, Weihan Tan, Xutian Tao, Junwei Zhang, Shouke Qin, Zongyao Ding. 2851-2859 [doi]
• Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location dataAntoine Boutet, Sébastien Gambs. 2861-2864 [doi]
• PODIUM: Probabilistic Datalog Analysis via Contribution MaximizationTova Milo, Yuval Moskovitch, Brit Youngmann. 2865-2868 [doi]
• Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past DocumentsAdam Jatowt, Ricardo Campos 0001, Sourav S. Bhowmick, Antoine Doucet. 2869-2872 [doi]
• ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement LearningOri Bar El, Tova Milo, Amit Somech. 2873-2876 [doi]
• ExplIQuE: Interactive Databases Exploration with SQLMarie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici, Ihab F. Ilyas. 2877-2880 [doi]
• TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request DataPei-Xun Wang, Hsuan Chiu, Wen-Qian Chen, Che-Chia Chang, Yu-Hsuan Huang, Tzu-Hao Huang, Yuchun Lai, Chia-Hu Chang. 2881-2884 [doi]
• Understanding Data in the Blink of an EyeMatteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra 0001. 2885-2888 [doi]
• SIMILANT: An Analytic Tool for Similarity ModelingDavid Bernhauer, Tomás Skopal, Irena Holubová, Ladislav Peska, Martin Svoboda. 2889-2892 [doi]
• MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data ScienceChenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich. 2893-2896 [doi]
• PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing MechanismKangsoo Jung, Junkyu Lee, Kunyoung Park, Seog Park. 2897-2900 [doi]
• MiCRon: Making Sense of News via Relationship SubgraphsZixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu. 2901-2904 [doi]
• LuPe: A System for Personalized and Transparent Data-driven DecisionsSarah Oppold, Melanie Herschel. 2905-2908 [doi]
• Insta-Search: Towards Effective Exploration of Knowledge GraphsMadhulika Mohanty, Maya Ramanath. 2909-2912 [doi]
• SkyRec: Finding Pareto Optimal GroupsJinfei Liu, Li Xiong 0001, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang. 2913-2916 [doi]
• CurrentClean: Interactive Change Exploration and Cleaning of Stale DataZheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, Mostafa Milani. 2917-2920 [doi]
• PatMat: A Distributed Pattern Matching Engine with CypherKongzhang Hao, Zhengyi Yang, Longbin Lai, Zhengmin Lai, Xin Jin, Xuemin Lin. 2921-2924 [doi]
• On a Chatbot Conducting Virtual DialoguesBoris Galitsky, Dmitry I. Ilvovsky. 2925-2928 [doi]
• Rehab-Path: Recommending Alcohol and Drug-free RoutesYihong Zhang 0001, Panote Siriaraya, Yukiko Kawai, Adam Jatowt. 2929-2932 [doi]
• kBrowse: kNN Graph BrowserRamon Bespinyowong, Anthony K. H. Tung. 2933-2936 [doi]
• BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based RankingThanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, Theodore Dalamagas. 2937-2940 [doi]
• BeLink: Querying Networks of Facts, Statements and BeliefsTien Duc Cao, Ludivine Duroyon, François Goasdoué, Ioana Manolescu, Xavier Tannier. 2941-2944 [doi]
• TuneR: Fine Tuning of Rule-based Entity MatchersMatteo Paganelli, Paolo Sottovia, Francesco Guerra 0001, Yannis Velegrakis. 2945-2948 [doi]
• I-REX: A Lucene Plugin for EXplainable IRDwaipayan Roy, Sourav Saha, Mandar Mitra, Bihan Sen, Debasis Ganguly. 2949-2952 [doi]
• Model Asset eXchange: Path to Ubiquitous Deep Learning DeploymentAlex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli. 2953-2956 [doi]
• ReducE-Comm: Effective Inventory Reduction System for E-CommerceShay Gershtein, Tova Milo, Slava Novgorodov. 2957-2960 [doi]
• dEFEND: A System for Explainable Fake News DetectionLimeng Cui, Kai Shu, Suhang Wang, Dongwon Lee 0001, Huan Liu. 2961-2964 [doi]
• Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge ManagementRong Duan, Yanghua Xiao. 2965-2966 [doi]
• Taming Social Bots: Detection, Exploration and MeasurementAbdullah Mueen, Nikan Chavoshi, Amanda J. Minnich. 2967-2968 [doi]
• Learning-Based Methods with Human-in-the-Loop for Entity ResolutionSairam Gurajada, Lucian Popa 0002, Kun Qian, Prithviraj Sen. 2969-2970 [doi]
• Learning and Reasoning on Graph for RecommendationXiang Wang, Xiangnan He 0001, Tat-Seng Chua. 2971-2972 [doi]
• Recent Developments of Deep Heterogeneous Information Network AnalysisChuan Shi, Philip S. Yu. 2973-2974 [doi]
• Synergy of Database Techniques and Machine Learning Models for String Similarity Search and JoinJiaheng Lu, Chunbin Lin, Jin Wang, Chen Li 0001. 2975-2976 [doi]
• Realtime Object Detection via Deep Learning-based PipelinesJames G. Shanahan, Liang Dai. 2977-2978 [doi]
• Recommendation for Multi-stakeholders and through Neural Review MiningMuthusamy Chelliah, Yong Zheng, Sudeshna Sarkar. 2979-2981 [doi]
• Machine Learning on Graphs with KernelsMichalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis. 2983-2984 [doi]
• DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical InformaticsHyojung Paik, Ruibin Xi, Doheon Lee. 2985-2987 [doi]
• Knowledge-Driven Analytics and Systems Impacting Human Quality of LifeArijit Ukil, Leandro Marín, Antonio Jara, John Farserotu. 2989-2990 [doi]
• HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and ApplicationsChuan Shi, Yanfang Ye, Jiawei Zhang. 2991-2992 [doi]
• EYRE 2019: 2nd International Workshop on EntitY REtrievalGong Cheng, Kalpa Gunaratna, Jun Wang. 2993-2994 [doi]
• CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation)Weinan Zhang 0001, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye. 2995-2996 [doi]
• GRLA 2019: The first International Workshop on Graph Representation Learning and its ApplicationsHuawei Shen, Jian Tang, Peng Bao. 2997-2998 [doi]
• International Workshop on Model Selection and Parameter Tuning in Recommender SystemsFikret Sivrikaya, Sahin Albayrak, Defu Lian. 2999-3000 [doi]
• 2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRSVito Walter Anelli, Tommaso Di Noia. 3001-3002 [doi]
• BigScholar 2019: The 6th Workshop on Big Scholarly DataFeng Xia 0001, Huan Liu, Irwin King, Kuansan Wang. 3003-3004 [doi]