| 2019 | #suicidal - A Multipronged Approach to Identify and Explore Suicidal Ideation in Twitter. Pradyumna Prakhar Sinha, Rohan Mishra, Ramit Sawhney, Debanjan Mahata, Rajiv Ratn Shah, Huan Liu |
| 2019 | 2nd Workshop on Knowledge-aware and Conversational Recommender Systems - KaRS. Vito Walter Anelli, Tommaso Di Noia |
| 2019 | A Benchmark for Fact Checking Algorithms Built on Knowledge Bases. Viet-Phi Huynh, Paolo Papotti |
| 2019 | A Compare-Aggregate Model with Latent Clustering for Answer Selection. Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui, Kyomin Jung |
| 2019 | A Deep Neural Framework for Sales Forecasting in E-Commerce. Yan Qi, Chenliang Li, Han Deng, Min Cai, Yunwei Qi, Yuming Deng |
| 2019 | A Dynamic Co-attention Network for Session-based Recommendation. Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke |
| 2019 | A Dynamic Default Prediction Framework for Networked-guarantee Loans. Dawei Cheng, Yiyi Zhang, Fangzhou Yang, Yi Tu, Zhibin Niu, Liqing Zhang |
| 2019 | A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. Jiashu Zhao, Hongshen Chen, Dawei Yin |
| 2019 | A Fine-grained and Noise-aware Method for Neural Relation Extraction. Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou, Ximing Li |
| 2019 | A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists. Yun He, Jianling Wang, Wei Niu, James Caverlee |
| 2019 | A Hybrid Retrieval-Generation Neural Conversation Model. Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu |
| 2019 | A Latent-Constrained Variational Neural Dialogue Model for Information-Rich Responses. Yanan Zheng, Yan Wang, Lijie Wen, Jianmin Wang |
| 2019 | A Lossy Compression Method on Positional Index for Efficient and Effective Retrieval. Shuni Gao, Jipeng Liu, Xiaoguang Liu, Gang Wang |
| 2019 | A Modular Adversarial Approach to Social Recommendation. Adit Krishnan, Hari Cheruvu, Tao Cheng, Hari Sundaram |
| 2019 | A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management. Si Shi, Jianjun Li, Guohui Li, Peng Pan |
| 2019 | A Sampling-Based System for Approximate Big Data Analysis on Computing Clusters. Salman Salloum, Yinxu Wu, Joshua Zhexue Huang |
| 2019 | A Semantics Aware Random Forest for Text Classification. Md Zahidul Islam, Jixue Liu, Jiuyong Li, Lin Liu, Wei Kang |
| 2019 | A Spatio-temporal Recommender System for On-demand Cinemas. Taofeng Xue, Beihong Jin, Beibei Li, Weiqing Wang, Qi Zhang, Sihua Tian |
| 2019 | A Study of Context Dependencies in Multi-page Product Search. Keping Bi, Choon Hui Teo, Yesh Dattatreya, Vijai Mohan, W. Bruce Croft |
| 2019 | A Unified Generation-Retrieval Framework for Image Captioning. Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian |
| 2019 | A Zero Attention Model for Personalized Product Search. Qingyao Ai, Daniel N. Hill, S. V. N. Vishwanathan, W. Bruce Croft |
| 2019 | AIBox: CTR Prediction Model Training on a Single Node. Weijie Zhao, Jingyuan Zhang, Deping Xie, YuLei Qian, Ronglai Jia, Ping Li |
| 2019 | ARP: Aspect-aware Neural Review Rating Prediction. Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | ATENA: An Autonomous System for Data Exploration Based on Deep Reinforcement Learning. Ori Bar El, Tova Milo, Amit Somech |
| 2019 | ATL: Autonomous Knowledge Transfer from Many Streaming Processes. Mahardhika Pratama, Marcus de Carvalho, Renchunzi Xie, Edwin Lughofer, Jie Lu |
| 2019 | Accounting for Temporal Dynamics in Document Streams. Zhendong Chu, Renqin Cai, Hongning Wang |
| 2019 | Achieve Privacy-Preserving Truth Discovery in Crowdsensing Systems. Jianchao Tang, Shaojing Fu, Ming Xu, Yuchuan Luo, Kai Huang |
| 2019 | Active Collaborative Sensing for Energy Breakdown. Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse |
| 2019 | Active Entity Recognition in Low Resource Settings. Ning Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan |
| 2019 | AdaFair: Cumulative Fairness Adaptive Boosting. Vasileios Iosifidis, Eirini Ntoutsi |
| 2019 | Adapting Visual Question Answering Models for Enhancing Multimodal Community Q&A Platforms. Avikalp Srivastava, Hsin Wen Liu, Sumio Fujita |
| 2019 | Adaptive Algorithms for Estimating Betweenness and Mostafa Haghir Chehreghani, Albert Bifet, Talel Abdessalem |
| 2019 | Adaptive Feature Redundancy Minimization. Rui Zhang, Hanghang Tong, Yifan Hu |
| 2019 | Adaptive Feature Sampling for Recommendation with Missing Content Feature Values. Shaoyun Shi, Min Zhang, Xinxing Yu, Yongfeng Zhang, Bin Hao, Yiqun Liu, Shaoping Ma |
| 2019 | Additive Explanations for Anomalies Detected from Multivariate Temporal Data. Ioana Giurgiu, Anika Schumann |
| 2019 | Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification. Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao |
| 2019 | Adversarial Factorization Autoencoder for Look-alike Modeling. Khoa D. Doan, Pranjul Yadav, Chandan K. Reddy |
| 2019 | Adversarial Structured Neural Network Pruning. Xingyu Cai, Jinfeng Yi, Fan Zhang, Sanguthevar Rajasekaran |
| 2019 | Adversarial Training of Gradient-Boosted Decision Trees. Stefano Calzavara, Claudio Lucchese, Gabriele Tolomei |
| 2019 | An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine. Yatao Yang, Jun Tan, Hongbo Deng, Zibin Zheng, Yutong Lu, Xiangke Liao |
| 2019 | An Explainable Deep Fusion Network for Affect Recognition Using Physiological Signals. Jionghao Lin, Shirui Pan, Cheng Siong Lee, Sharon L. Oviatt |
| 2019 | An Interactive Mechanism to Improve Question Answering Systems via Feedback. Xinbo Zhang, Lei Zou, Sen Hu |
| 2019 | Analysis of Adaptive Training for Learning to Rank in Information Retrieval. Saar Kuzi, Sahiti Labhishetty, Shubhra Kanti Karmaker Santu, Prasad Pradip Joshi, ChengXiang Zhai |
| 2019 | Analyzing the Effects of Document's Opinion and Credibility on Search Behaviors and Belief Dynamics. Suppanut Pothirattanachaikul, Takehiro Yamamoto, Yusuke Yamamoto, Masatoshi Yoshikawa |
| 2019 | Approximate Definitional Constructs as Lightweight Evidence for Detecting Classes Among Wikipedia Articles. Marius Pasca |
| 2019 | Approximation Algorithms for Coordinating Ad Campaigns on Social Networks. Kartik Lakhotia, David Kempe |
| 2019 | Aspect and Opinion Aware Abstractive Review Summarization with Reinforced Hard Typed Decoder. Yufei Tian, Jianfei Yu, Jing Jiang |
| 2019 | Attention-Residual Network with CNN for Rumor Detection. Yixuan Chen, Jie Sui, Liang Hu, Wei Gong |
| 2019 | Attentive History Selection for Conversational Question Answering. Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer |
| 2019 | Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation. Di You, Nguyen Vo, Kyumin Lee, Qiang Liu |
| 2019 | Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. Georgios Rizos, Konstantin Hemker, Björn W. Schuller |
| 2019 | Author Set Identification via Quasi-Clique Discovery. Yuyan Zheng, Chuan Shi, Xiangnan Kong, Yanfang Ye |
| 2019 | Auto-completion for Data Cells in Relational Tables. Shuo Zhang, Krisztian Balog |
| 2019 | AutoGRD: Model Recommendation Through Graphical Dataset Representation. Noy Cohen-Shapira, Lior Rokach, Bracha Shapira, Gilad Katz, Roman Vainshtein |
| 2019 | AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang |
| 2019 | Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding |
| 2019 | Automatic Sequential Pattern Mining in Data Streams. Kouki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2019 | Autonomous Driving Towards Mass Production. Jianping Shi |
| 2019 | Autor3: Yusi Zhang, Zhi Yang, Liang Wang, Li He |
| 2019 | BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang |
| 2019 | BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. Seonghyeon Lee, Chanyoung Park, Hwanjo Yu |
| 2019 | BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking. Thanasis Vergoulis, Serafeim Chatzopoulos, Ilias Kanellos, Panagiotis Deligiannis, Christos Tryfonopoulos, Theodore Dalamagas |
| 2019 | Balance in Signed Bipartite Networks. Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang |
| 2019 | Batch Mode Active Learning for Semantic Segmentation Based on Multi-Clue Sample Selection. Yao Tan, Liu Yang, Qinghua Hu, Zhibin Du |
| 2019 | Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks. Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang |
| 2019 | BeLink: Querying Networks of Facts, Statements and Beliefs. Tien Duc Cao, Ludivine Duroyon, François Goasdoué, Ioana Manolescu, Xavier Tannier |
| 2019 | BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models. Chen Qian, Lijie Wen, Akhil Kumar |
| 2019 | Best Co-Located Community Search in Attributed Networks. Jiehuan Luo, Xin Cao, Xike Xie, Qiang Qu |
| 2019 | Beyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings. Suhang Wang, Charu C. Aggarwal, Huan Liu |
| 2019 | BigScholar 2019: The 6th Workshop on Big Scholarly Data. Feng Xia, Huan Liu, Irwin King, Kuansan Wang |
| 2019 | CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye |
| 2019 | CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran |
| 2019 | Caching Scores for Faster Query Processing with Dynamic Pruning in Search Engines. Erman Yafay, Ismail Sengor Altingovde |
| 2019 | CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin |
| 2019 | Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation. Wang-Cheng Kang, Julian John McAuley |
| 2019 | CityTraffic: Modeling Citywide Traffic via Neural Memorization and Generalization Approach. Xiuwen Yi, Zhewen Duan, Ting Li, Tianrui Li, Junbo Zhang, Yu Zheng |
| 2019 | Cluster-Based Focused Retrieval. Eilon Sheetrit, Oren Kurland |
| 2019 | Clustering Recurrent and Semantically Cohesive Program Statements in Introductory Programming Assignments. Victor J. Marin, Carlos R. Rivero |
| 2019 | CoLight: Learning Network-level Cooperation for Traffic Signal Control. Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, Zhenhui Li |
| 2019 | CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye |
| 2019 | Collaborative Analysis for Computational Risk in Urban Water Supply Systems. Di Wu, Hao Wang, Razak Seidu |
| 2019 | Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention. Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yangyong Zhu |
| 2019 | Commonsense Properties from Query Logs and Question Answering Forums. Julien Romero, Simon Razniewski, Koninika Pal, Jeff Z. Pan, Archit Sakhadeo, Gerhard Weikum |
| 2019 | ConCET: Entity-Aware Topic Classification for Open-Domain Conversational Agents. Ali Ahmadvand, Harshita Sahijwani, Jason Ingyu Choi, Eugene Agichtein |
| 2019 | Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring. Hongda Tian, Nguyen Lu Dang Khoa, Ali Anaissi, Yang Wang, Fang Chen |
| 2019 | Conceptualize and Infer User Needs in E-commerce. Xusheng Luo, Yonghua Yang, Kenny Qili Zhu, Yu Gong, Keping Yang |
| 2019 | Constrained Co-embedding Model for User Profiling in Question Answering Communities. Yupeng Luo, Shangsong Liang, Zaiqiao Meng |
| 2019 | Constructing a Comprehensive Events Database from the Web. Qifan Wang, Bhargav Kanagal, Vijay Garg, D. Sivakumar |
| 2019 | Context-Aware Ranking by Constructing a Virtual Environment for Reinforcement Learning. Junqi Zhang, Jiaxin Mao, Yiqun Liu, Ruizhe Zhang, Min Zhang, Shaoping Ma, Jun Xu, Qi Tian |
| 2019 | Conversational Product Search Based on Negative Feedback. Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft |
| 2019 | Convolution-Consistent Collective Matrix Completion. Xu Liu, Jingrui He, Sam Duddy, Liz O'Sullivan |
| 2019 | Correcting for Recency Bias in Job Recommendation. Ruey-Cheng Chen, Qingyao Ai, Gaya Jayasinghe, W. Bruce Croft |
| 2019 | CosRec: 2D Convolutional Neural Networks for Sequential Recommendation. An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian J. McAuley |
| 2019 | Cost-effective Resource Provisioning for Spark Workloads. Yuxing Chen, Jiaheng Lu, Chen Chen, Mohammad Ashraful Hoque, Sasu Tarkoma |
| 2019 | Cross-Domain Recommendation via Preference Propagation GraphNet. Cheng Zhao, Chenliang Li, Cong Fu |
| 2019 | Cross-domain Aspect Category Transfer and Detection via Traceable Heterogeneous Graph Representation Learning. Zhuoren Jiang, Jian Wang, Lujun Zhao, Changlong Sun, Yao Lu, Xiaozhong Liu |
| 2019 | Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao |
| 2019 | Cross-modal Image-Text Retrieval with Multitask Learning. Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang |
| 2019 | CurrentClean: Interactive Change Exploration and Cleaning of Stale Data. Zheng Zheng, Tri Minh Quach, Ziyi Jin, Fei Chiang, Mostafa Milani |
| 2019 | DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li |
| 2019 | DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu |
| 2019 | DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting. Siteng Huang, Donglin Wang, Xuehan Wu, Ao Tang |
| 2019 | DTCDR: A Framework for Dual-Target Cross-Domain Recommendation. Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng |
| 2019 | DTMBIO 2019: The Thirteenth International Workshop on Data and Text Mining in Biomedical Informatics. Hyojung Paik, Ruibin Xi, Doheon Lee |
| 2019 | Data Poisoning Attacks on Cross-domain Recommendation. Huiyuan Chen, Jing Li |
| 2019 | Datalog Reasoning over Compressed RDF Knowledge Bases. Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks |
| 2019 | Declarative User Selection with Soft Constraints. Yael Amsterdamer, Tova Milo, Amit Somech, Brit Youngmann |
| 2019 | Deep Colorization by Variation. Zineng Tang |
| 2019 | Deep Dynamic Fusion Network for Traffic Accident Forecasting. Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo |
| 2019 | Deep Forest with LRRS Feature for Fine-grained Website Fingerprinting with Encrypted SSL/TLS. Ziqing Zhang, Cuicui Kang, Gang Xiong, Zhen Li |
| 2019 | Deep Graph Similarity Learning for Brain Data Analysis. Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu |
| 2019 | Deep Learning for Blast Furnaces: Skip-Dense Layers Deep Learning Model to Predict the Remaining Time to Close Tap-holes for Blast Furnaces. Keeyoung Kim, Byeongrak Seo, Sang-Hoon Rhee, Seungmoon Lee, Simon S. Woo |
| 2019 | Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla |
| 2019 | Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong |
| 2019 | DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation. Tao-Yang Fu, Wang-Chien Lee |
| 2019 | Deploying Hash Tables on Die-Stacked High Bandwidth Memory. Xuntao Cheng, Bingsheng He, Eric Lo, Wei Wang, Shengliang Lu, Xinyu Chen |
| 2019 | Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. Qingyuan Gong, Jiayun Zhang, Yang Chen, Qi Li, Yu Xiao, Xin Wang, Pan Hui |
| 2019 | Discerning Edge Influence for Network Embedding. Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu |
| 2019 | Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han |
| 2019 | Discovering Interesting Cycles in Directed Graphs. Florian Adriaens, Çigdem Aslay, Tijl De Bie, Aristides Gionis, Jefrey Lijffijt |
| 2019 | Discovering Polarized Communities in Signed Networks. Francesco Bonchi, Edoardo Galimberti, Aristides Gionis, Bruno Ordozgoiti, Giancarlo Ruffo |
| 2019 | Document in Context of its Time (DICT): Providing Temporal Context to Support Analysis of Past Documents. Adam Jatowt, Ricardo Campos, Sourav S. Bhowmick, Antoine Doucet |
| 2019 | Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts. Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy |
| 2019 | Domain Knowledge Guided Deep Atrial Fibrillation Classification and Its Visual Interpretation. Xiaoyu Li, Buyue Qian, Jishang Wei, Xianli Zhang, Sirui Chen, Qinghua Zheng |
| 2019 | Dynamic Bayesian Metric Learning for Personalized Product Search. Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang |
| 2019 | Dynamic Collaborative Recurrent Learning. Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | ED2: A Case for Active Learning in Error Detection. Felix Neutatz, Mohammad Mahdavi, Ziawasch Abedjan |
| 2019 | EHR Coding with Multi-scale Feature Attention and Structured Knowledge Graph Propagation. Xiancheng Xie, Yun Xiong, Philip S. Yu, Yangyong Zhu |
| 2019 | EPA: Exoneration and Prominence based Age for Infection Source Identification. Syed Shafat Ali, Tarique Anwar, Ajay Rastogi, Syed Afzal Murtaza Rizvi |
| 2019 | EYRE 2019: 2nd International Workshop on EntitY REtrieval. Gong Cheng, Kalpa Gunaratna, Jun Wang |
| 2019 | Efficient Join Processing Over Incomplete Data Streams. Weilong Ren, Xiang Lian, Kambiz Ghazinour |
| 2019 | Efficient Sequential and Parallel Algorithms for Estimating Higher Order Spectra. Zigeng Wang, Abdullah-Al Mamun, Xingyu Cai, Nalini Ravishanker, Sanguthevar Rajasekaran |
| 2019 | Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu |
| 2019 | Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang |
| 2019 | Enhancing Conversational Dialogue Models with Grounded Knowledge. Wen Zheng, Ke Zhou |
| 2019 | Enriching Pre-trained Language Model with Entity Information for Relation Classification. Shanchan Wu, Yifan He |
| 2019 | Enterprise Knowledge Graph From Specific Business Task to Enterprise Knowledge Management. Rong Duan, Yanghua Xiao |
| 2019 | Estimating the Number of Distinct Items in a Database by Sampling. Roel Apfelbaum |
| 2019 | Experimental Study of Multivariate Time Series Forecasting Models. Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao |
| 2019 | ExplIQuE: Interactive Databases Exploration with SQL. Marie Le Guilly, Jean-Marc Petit, Vasile-Marian Scuturici, Ihab F. Ilyas |
| 2019 | Exploiting Multiple Embeddings for Chinese Named Entity Recognition. Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li |
| 2019 | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. Zhenya Huang, Qi Liu, ChengXiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |
| 2019 | Exploring The Interaction Effects for Temporal Spatial Behavior Prediction. Huan Yang, Tianyuan Liu, Yuqing Sun, Elisa Bertino |
| 2019 | FLEET: Butterfly Estimation from a Bipartite Graph Stream. Seyed-Vahid Sanei-Mehri, Yu Zhang, Ahmet Erdem Sariyüce, Srikanta Tirthapura |
| 2019 | Fast Approximations of Betweenness Centrality with Graph Neural Networks. Sunil Kumar Maurya, Xin Liu, Tsuyoshi Murata |
| 2019 | Fast Random Forest Algorithm via Incremental Upper Bound. Yasuhiro Fujiwara, Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Junya Arai, Naonori Ueda |
| 2019 | Fast and Accurate Network Embeddings via Very Sparse Random Projection. Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena |
| 2019 | Faster Algorithms for Qi Dong, Jiping Zheng |
| 2019 | Feature Enhancement via User Similarities Networks for Improved Click Prediction in Yahoo Gemini Native. Morelle Arian, Eliran Abutbul, Michal Aharon, Yair Koren, Oren Somekh, Rotem Stram |
| 2019 | Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen |
| 2019 | Federated Topic Modeling. Di Jiang, Yuanfeng Song, Yongxin Tong, Xueyang Wu, Weiwei Zhao, Qian Xu, Qiang Yang |
| 2019 | Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang |
| 2019 | Finding a Maximum Clique in Dense Graphs via χ2 Statistics. Sourav Dutta, Juho Lauri |
| 2019 | Fine-Grained Fuel Consumption Prediction. Chenguang Fang, Shaoxu Song, Zhiwei Chen, Acan Gui |
| 2019 | Fine-Grained Geolocalization of User-Generated Short Text based on Weight Probability Model. Congjie Gao, Yongjun Li, Jiaqi Yang |
| 2019 | Fine-Grained Product Categorization in E-commerce. Hongshen Chen, Jiashu Zhao, Dawei Yin |
| 2019 | Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du |
| 2019 | From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration. Jiawei Han |
| 2019 | GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye, Sha Zhao |
| 2019 | GPU-Accelerated Decoding of Integer Lists. Antonio Mallia, Michal Siedlaczek, Torsten Suel, Mohamed Zahran |
| 2019 | GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang |
| 2019 | GRIP: Multi-Store Capacity-Optimized High-Performance Nearest Neighbor Search for Vector Search Engine. Minjia Zhang, Yuxiong He |
| 2019 | GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. Huawei Shen, Jian Tang, Peng Bao |
| 2019 | Gate-based Bidirectional Interactive Decoding Network for Scene Text Recognition. Yunze Gao, Yingying Chen, Jinqiao Wang, Hanqing Lu |
| 2019 | Generating Paraphrase with Topic as Prior Knowledge. Yuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang |
| 2019 | Generating Persuasive Visual Storylines for Promotional Videos. Chang Liu, Yi Dong, Han Yu, Zhiqi Shen, Zhanning Gao, Pan Wang, Changgong Zhang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao |
| 2019 | Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System. Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu |
| 2019 | Geolocating Tweets in any Language at any Location. Mike Izbicki, Vagelis Papalexakis, Vassilis J. Tsotras |
| 2019 | Geometric Estimation of Specificity within Embedding Spaces. Negar Arabzadeh, Fattane Zarrinkalam, Jelena Jovanovic, Ebrahim Bagheri |
| 2019 | Graph Convolutional Networks with Motif-based Attention. John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao |
| 2019 | Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi |
| 2019 | Gravity-Inspired Graph Autoencoders for Directed Link Prediction. Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis |
| 2019 | HAES: A New Hybrid Approach for Movie Recommendation with Elastic Serendipity. Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang |
| 2019 | HENA 2019: The 3rd Workshop of Heterogeneous Information Network Analysis and Applications. Chuan Shi, Yanfang Ye, Jiawei Zhang |
| 2019 | Hashing Graph Convolution for Node Classification. Wenting Zhao, Zhen Cui, Chunyan Xu, Chengzheng Li, Tong Zhang, Jian Yang |
| 2019 | Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods. Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini |
| 2019 | HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng |
| 2019 | Heterogeneous Components Fusion Network for Load Forecasting of Charging Stations. Kai Li, Fei Yu, Cheng Feng, Tian Xia |
| 2019 | HiCAN: Hierarchical Convolutional Attention Network for Sequence Modeling. Yi Cao, Weifeng Zhang, Bo Song, Congfu Xu |
| 2019 | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |
| 2019 | Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang |
| 2019 | How Does BERT Answer Questions?: A Layer-Wise Analysis of Transformer Representations. Betty van Aken, Benjamin Winter, Alexander Löser, Felix A. Gers |
| 2019 | How to Find It Better?: Cross-Learning for WeChat Mini Programs. He Li, Zhiqiang Liu, Sheng Xu, Zhiyuan Lin, Xiangqun Chen |
| 2019 | Hybrid Deep Pairwise Classification for Author Name Disambiguation. Kunho Kim, Shaurya Rohatgi, C. Lee Giles |
| 2019 | Hyper-Path-Based Representation Learning for Hyper-Networks. Jie Huang, Xin Liu, Yangqiu Song |
| 2019 | I-REX: A Lucene Plugin for EXplainable IR. Dwaipayan Roy, Sourav Saha, Mandar Mitra, Bihan Sen, Debasis Ganguly |
| 2019 | Identifying Facet Mismatches In Search Via Micrographs. Sriram Srinivasan, Nikhil S. Rao, Karthik Subbian, Lise Getoor |
| 2019 | Imbalance Rectification in Deep Logistic Regression for Multi-Label Image Classification Using Random Noise Samples. Wenjin Yan, Ruixuan Li, Jun Wang, Yuhua Li, Jinyang Wang, Pan Zhou, Xiwu Gu |
| 2019 | Improved Compressed String Dictionaries. Nieves R. Brisaboa, Ana Cerdeira-Pena, Guillermo de Bernardo, Gonzalo Navarro |
| 2019 | Improving Ad Click Prediction by Considering Non-displayed Events. Bo-Wen Yuan, Jui-Yang Hsia, Mengyuan Yang, Hong Zhu, Chih-Yao Chang, Zhenhua Dong, Chih-Jen Lin |
| 2019 | Improving Web Image Search with Contextual Information. Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Maarten de Rijke, Qingyao Ai, Yufei Huang, Min Zhang, Shaoping Ma |
| 2019 | In2Rec: Influence-based Interpretable Recommendation. Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu, Xiangliang Zhang, Min Zhang |
| 2019 | Inclusion Dependency Discovery: An Experimental Evaluation of Thirteen Algorithms. Falco Dürsch, Axel Stebner, Fabian Windheuser, Maxi Fischer, Tim Friedrich, Nils Strelow, Tobias Bleifuß, Hazar Harmouch, Lan Jiang, Thorsten Papenbrock, Felix Naumann |
| 2019 | Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. Jiangnan Xia, Chen Wu, Ming Yan |
| 2019 | Industry Specific Word Embedding and its Application in Log Classification. Elham Khabiri, Wesley M. Gifford, Bhanukiran Vinzamuri, Dhaval Patel, Pietro Mazzoleni |
| 2019 | Inferring Context from Pixels for Multimodal Image Classification. Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun |
| 2019 | Inspect What Your Location History Reveals About You: Raising user awareness on privacy threats associated with disclosing his location data. Antoine Boutet, Sébastien Gambs |
| 2019 | Insta-Search: Towards Effective Exploration of Knowledge Graphs. Madhulika Mohanty, Maya Ramanath |
| 2019 | Instagrammers, Fashionistas, and Me: Recurrent Fashion Recommendation with Implicit Visual Influence. Yin Zhang, James Caverlee |
| 2019 | Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding. Hansheng Xue, Jiajie Peng, Jiying Li, Xuequn Shang |
| 2019 | Intent Term Weighting in E-commerce Queries. Saurav Manchanda, Mohit Sharma, George Karypis |
| 2019 | Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. Jia-Chen Gu, Zhen-Hua Ling, Quan Liu |
| 2019 | Interactive Multi-Grained Joint Model for Targeted Sentiment Analysis. Da Yin, Xiao Liu, Xiaojun Wan |
| 2019 | Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments. Wenmian Yang, Weijia Jia, Wenyuan Gao, Xiaojie Zhou, Yutao Luo |
| 2019 | International Workshop on Model Selection and Parameter Tuning in Recommender Systems. Fikret Sivrikaya, Sahin Albayrak, Defu Lian |
| 2019 | Interpretable MTL from Heterogeneous Domains using Boosted Tree. Ya-Lin Zhang, Longfei Li |
| 2019 | Interpretable Multiple-Kernel Prototype Learning for Discriminative Representation and Feature Selection. Babak Hosseini, Barbara Hammer |
| 2019 | Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion. Subhabrata Dutta, Dipankar Das, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Tanmoy Chakraborty |
| 2019 | Investigating the Learning Process in Job Search: A Longitudinal Study. Jiaxin Mao, Damiano Spina, Sargol Sadeghi, Falk Scholer, Mark Sanderson |
| 2019 | Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong |
| 2019 | Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework. Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi |
| 2019 | Knowledge Transfer based on Multiple Manifolds Assumption. Pengfei Wei, Yiping Ke |
| 2019 | Knowledge-Driven Analytics and Systems Impacting Human Quality of Life. Arijit Ukil, Leandro Marín, Antonio Jara, John R. Farserotu |
| 2019 | Knowledge-aware Textual Entailment with Graph Attention Network. Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen |
| 2019 | Labelling for Venue Visit Detection by Matching Wi-Fi Hotspots with Businesses. Denis Shaposhnikov, Anastasia A. Bezzubtseva, Ekaterina Gladkikh, Alexey Drutsa |
| 2019 | Large Margin Prototypical Network for Few-shot Relation Classification with Fine-grained Features. Miao Fan, Yeqi Bai, Mingming Sun, Ping Li |
| 2019 | Large Scale Landmark Recognition via Deep Metric Learning. Andrei Boiarov, Eduard Tyantov |
| 2019 | Large-Scale Visual Search with Binary Distributed Graph at Alibaba. Kang Zhao, Pan Pan, Yun Zheng, Yanhao Zhang, Changxu Wang, Yingya Zhang, Yinghui Xu, Rong Jin |
| 2019 | Learning Adaptive Display Exposure for Real-Time Advertising. Weixun Wang, Junqi Jin, Jianye Hao, Chunjie Chen, Chuan Yu, Weinan Zhang, Jun Wang, Xiaotian Hao, Yixi Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. Yun Zhang, Yongguo Liu, Jiajing Zhu, Ziqiang Zheng, Xiaofeng Liu, Weiguang Wang, Zijie Chen, Shuangqing Zhai |
| 2019 | Learning Compositional, Visual and Relational Representations for CTR Prediction in Sponsored Search. Xiao Yang, Tao Deng, Weihan Tan, Xutian Tao, Junwei Zhang, Shouke Qin, Zongyao Ding |
| 2019 | Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh |
| 2019 | Learning Phase Competition for Traffic Signal Control. Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li |
| 2019 | Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations. Xiongnan Jin, Byungkook Oh, Sanghak Lee, Dongho Lee, Kyong-Ho Lee, Liang Chen |
| 2019 | Learning Traffic Signal Control from Demonstrations. Yuanhao Xiong, Guanjie Zheng, Kai Xu, Zhenhui Li |
| 2019 | Learning and Reasoning on Graph for Recommendation. Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2019 | Learning from Dynamic User Interaction Graphs to Forecast Diverse Social Behavior. Prasha Shrestha, Suraj Maharjan, Dustin Arendt, Svitlana Volkova |
| 2019 | Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. Dagui Chen, Junqi Jin, Weinan Zhang, Fei Pan, Lvyin Niu, Chuan Yu, Jun Wang, Han Li, Jian Xu, Kun Gai |
| 2019 | Learning to Answer Complex Questions over Knowledge Bases with Query Composition. Nikita Bhutani, Xinyi Zheng, H. V. Jagadish |
| 2019 | Learning to Ask: Question-based Sequential Bayesian Product Search. Jie Zou, Evangelos Kanoulas |
| 2019 | Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. Ning Wu, Jingyuan Wang, Wayne Xin Zhao, Yang Jin |
| 2019 | Learning to Generate Personalized Product Descriptions. Guy Elad, Ido Guy, Slava Novgorodov, Benny Kimelfeld, Kira Radinsky |
| 2019 | Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu |
| 2019 | Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell |
| 2019 | Learning to be Relevant: Evolution of a Course Recommendation System. Shivani Rao, Konstantin Salomatin, Gungor Polatkan, Mahesh Joshi, Sneha Chaudhari, Vladislav Tcheprasov, Jeffrey D. Gee, Deepak Kumar |
| 2019 | Learning-Based Methods with Human-in-the-Loop for Entity Resolution. Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen |
| 2019 | Legal Summarization for Multi-role Debate Dialogue via Controversy Focus Mining and Multi-task Learning. Xinyu Duan, Yating Zhang, Lin Yuan, Xin Zhou, Xiaozhong Liu, Tianyi Wang, Ruocheng Wang, Qiong Zhang, Changlong Sun, Fei Wu |
| 2019 | Leveraging Graph Neighborhoods for Efficient Inference. Melisachew Wudage Chekol, Heiner Stuckenschmidt |
| 2019 | Leveraging Ratings and Reviews with Gating Mechanism for Recommendation. Haifeng Xia, Zengmao Wang, Bo Du, Lefei Zhang, Shuai Chen, Gang Chun |
| 2019 | LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning. Diandian Gu, Ziniu Hu, Shangchen Du, Yun Ma |
| 2019 | Locally Slope-based Dynamic Time Warping for Time Series Classification. Jidong Yuan, Qianhong Lin, Wei Zhang, Zhihai Wang |
| 2019 | Long- and Short-term Preference Learning for Next POI Recommendation. Yuxia Wu, Ke Li, Guoshuai Zhao, Xueming Qian |
| 2019 | Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du |
| 2019 | Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie |
| 2019 | Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion. Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal, Jyotsna Singh, Gerhard Weikum |
| 2019 | Loopless Semi-Stochastic Gradient Descent with Less Hard Thresholding for Sparse Learning. Xiangyang Liu, Bingkun Wei, Fanhua Shang, Hongying Liu |
| 2019 | LuPe: A System for Personalized and Transparent Data-driven Decisions. Sarah Oppold, Melanie Herschel |
| 2019 | MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data. Miao Fan, Jizhou Huang, An Zhuo, Ying Li, Ping Li, Haifeng Wang |
| 2019 | Machine Learning on Graphs with Kernels. Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis |
| 2019 | Machine Reading Comprehension: Matching and Orders. Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu |
| 2019 | MarlRank: Multi-agent Reinforced Learning to Rank. Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang |
| 2019 | Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2019 | MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei |
| 2019 | Message Passing for Complex Question Answering over Knowledge Graphs. Svitlana Vakulenko, Javier David Fernandez Garcia, Axel Polleres, Maarten de Rijke, Michael Cochez |
| 2019 | Meta-GNN: On Few-shot Node Classification in Graph Meta-learning. Fan Zhou, Chengtai Cao, Kunpeng Zhang, Goce Trajcevski, Ting Zhong, Ji Geng |
| 2019 | MiCRon: Making Sense of News via Relationship Subgraphs. Zixian Huang, Shuxin Li, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | MithraLabel: Flexible Dataset Nutritional Labels for Responsible Data Science. Chenkai Sun, Abolfazl Asudeh, H. V. Jagadish, Bill Howe, Julia Stoyanovich |
| 2019 | MoBoost: A Self-improvement Framework for Linear-based Hashing. Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin |
| 2019 | Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. Alex 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 |
| 2019 | Model-based Constrained MDP for Budget Allocation in Sequential Incentive Marketing. Shuai Xiao, Le Guo, Zaifan Jiang, Lei Lv, Yuanbo Chen, Jun Zhu, Shuang Yang |
| 2019 | Modeling Long-Range Context for Concurrent Dialogue Acts Recognition. Yue Yu, Siyao Peng, Grace Hui Yang |
| 2019 | Modeling Sentiment Evolution for Social Incidents. Yunjie Wang, Hui Li, Chen Lin |
| 2019 | Motif Enhanced Recommendation over Heterogeneous Information Network. Huan Zhao, Yingqi Zhou, Yangqiu Song, Dik Lun Lee |
| 2019 | MrMine: Multi-resolution Multi-network Embedding. Boxin Du, Hanghang Tong |
| 2019 | Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye |
| 2019 | Multi-Hot Compact Network Embedding. Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li |
| 2019 | Multi-Interest Network with Dynamic Routing for Recommendation at Tmall. Chao Li, Zhiyuan Liu, Mengmeng Wu, Yuchi Xu, Huan Zhao, Pipei Huang, Guoliang Kang, Qiwei Chen, Wei Li, Dik Lun Lee |
| 2019 | Multi-Target Multi-Camera Tracking with Human Body Part Semantic Features. Mingkun Wang, Dianxi Shi, Naiyang Guan, Wei Yi, Tao Zhang, Zunlin Fan |
| 2019 | Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network. Heyuan Wang, Ziyi Wu, Junyu Chen |
| 2019 | Multi-scale Trajectory Clustering to Identify Corridors in Mobile Networks. Li Li, Sarah M. Erfani, Chien Aun Chan, Christopher Leckie |
| 2019 | Multi-stage Deep Classifier Cascades for Open World Recognition. Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao |
| 2019 | Multi-task based Sales Predictions for Online Promotions. Shen Xin, Martin Ester, Jiajun Bu, Chengwei Yao, Zhao Li, Xun Zhou, Yizhou Ye, Can Wang |
| 2019 | Multi-view Moments Embedding Network for 3D Shape Recognition. Jun Xiao, Yuanxing Zhang, Pengyu Zhao, Kecheng Xiao, Kaigui Bian, Chunli Zhang, Wei Yan |
| 2019 | Multiple Rumor Source Detection with Graph Convolutional Networks. Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, Guohui Li |
| 2019 | MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert |
| 2019 | N2N: Network Derivative Mining. Jian Kang, Hanghang Tong |
| 2019 | NAD: Neural Network Aided Design for Textile Pattern Generation. Zhifei Pang, Sai Wu, Dongxiang Zhang, Yunjun Gao, Gang Chen |
| 2019 | NICE: Neural In-Hospital Cost Estimation from Medical Records. Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie |
| 2019 | Neighborhood Interaction Attention Network for Link Prediction. Zhitao Wang, Yu Lei, Wenjie Li |
| 2019 | Nested Relation Extraction with Iterative Neural Network. Yixuan Cao, Dian Chen, Hongwei Li, Ping Luo |
| 2019 | Neural Gender Prediction in Microblogging with Emotion-aware User Representation. Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | Neural Review Rating Prediction with User and Product Memory. Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie |
| 2019 | Neural Review Summarization Leveraging User and Product Information. Hui Liu, Xiaojun Wan |
| 2019 | New Online Kernel Ridge Regression via Incremental Predictive Sampling. Shan Xu, Xiao Zhang, Shizhong Liao |
| 2019 | Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems. Jason Ingyu Choi, Ali Ahmadvand, Eugene Agichtein |
| 2019 | On Continuously Matching of Evolving Graph Patterns. Qianzhen Zhang, Deke Guo, Xiang Zhao, Aibo Guo |
| 2019 | On Heavy-user Bias in A/B Testing. Yu Wang, Somit Gupta, Jiannan Lu, Ali Mahmoudzadeh, Sophia Liu |
| 2019 | On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf |
| 2019 | On Transforming Relevance Scales. Lei Han, Kevin Roitero, Eddy Maddalena, Stefano Mizzaro, Gianluca Demartini |
| 2019 | On VR Spatial Query for Dual Entangled Worlds. Shao-Heng Ko, Ying-Chun Lin, Hsu-Chao Lai, Wang-Chien Lee, De-Nian Yang |
| 2019 | On a Chatbot Conducting Virtual Dialogues. Boris Galitsky, Dmitry Ilvovsky |
| 2019 | One-Class Active Learning for Outlier Detection with Multiple Subspaces. Holger Trittenbach, Klemens Böhm |
| 2019 | Online Kernel Selection via Tensor Sketching. Shizhong Liao, Xiao Zhang |
| 2019 | Online Schemaless Querying of Heterogeneous Open Knowledge Bases. Nikita Bhutani, H. V. Jagadish |
| 2019 | Ontology-Mediated Queries over Probabilistic Data via Probabilistic Logic Programming. Timothy van Bremen, Anton Dries, Jean Christoph Jung |
| 2019 | Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | PODIUM: Probabilistic Datalog Analysis via Contribution Maximization. Tova Milo, Yuval Moskovitch, Brit Youngmann |
| 2019 | PRIVATA: Differentially Private Data Market Framework using Negotiation-based Pricing Mechanism. Kangsoo Jung, Junkyu Lee, Kunyoung Park, Seog Park |
| 2019 | PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network. Yige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng |
| 2019 | Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang |
| 2019 | PatMat: A Distributed Pattern Matching Engine with Cypher. Kongzhang Hao, Zhengyi Yang, Longbin Lai, Zhengmin Lai, Xin Jin, Xuemin Lin |
| 2019 | Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network. Xi Lin, Yequan Wang, Xiaokui Xiao, Zengxiang Li, Sourav S. Bhowmick |
| 2019 | Patterns of Search Result Examination: Query to First Action. Mustafa Abualsaud, Mark D. Smucker |
| 2019 | Personalized Route Description Based On Historical Trajectories. Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng |
| 2019 | Practical Access Pattern Privacy by Combining PIR and Oblivious Shuffle. Zhilin Zhang, Ke Wang, Weipeng Lin, Ada Wai-Chee Fu, Raymond Chi-Wing Wong |
| 2019 | Practicing the Art of Data Science. Jian Pei |
| 2019 | Privacy Preserving Approximate K-means Clustering. Chandan Biswas, Debasis Ganguly, Dwaipayan Roy, Ujjwal Bhattacharya |
| 2019 | Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis. Jing Ma, Qiuchen Zhang, Jian Lou, Joyce C. Ho, Li Xiong, Xiaoqian Jiang |
| 2019 | Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas. Teng Wang, Jun Zhao, Han Yu, Jinyan Liu, Xinyu Yang, Xuebin Ren, Shuyu Shi |
| 2019 | Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019. Wenwu Zhu, Dacheng Tao, Xueqi Cheng, Peng Cui, Elke A. Rundensteiner, David Carmel, Qi He, Jeffrey Xu Yu |
| 2019 | QPIN: A Quantum-inspired Preference Interactive Network for E-commerce Recommendation. Panpan Wang, Zhao Li, Yazhou Zhang, Yuexian Hou, Liangzhu Ge |
| 2019 | Query Embedding Learning for Context-based Social Search. Yi-Chun Chen, Yu-Che Tsai, Cheng-Te Li |
| 2019 | Query-Specific Knowledge Summarization with Entity Evolutionary Networks. Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han |
| 2019 | Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce. Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan |
| 2019 | Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU. Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai |
| 2019 | Question Difficulty Prediction for Multiple Choice Problems in Medical Exams. Zhaopeng Qiu, Xian Wu, Wei Fan |
| 2019 | Rating Mechanisms for Sustainability of Crowdsourcing Platforms. Chenxi Qiu, Anna Cinzia Squicciarini, Sarah Michele Rajtmajer |
| 2019 | Real-time Edge Repartitioning for Dynamic Graph. He Li, Hang Yuan, Jianbin Huang |
| 2019 | Realtime Object Detection via Deep Learning-based Pipelines. James G. Shanahan, Liang Dai |
| 2019 | Recent Developments of Deep Heterogeneous Information Network Analysis. Chuan Shi, Philip S. Yu |
| 2019 | Recommendation for Multi-stakeholders and through Neural Review Mining. Muthusamy Chelliah, Yong Zheng, Sudeshna Sarkar |
| 2019 | Recommendation-based Team Formation for On-demand Taxi-calling Platforms. Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye |
| 2019 | Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo |
| 2019 | ReducE-Comm: Effective Inventory Reduction System for E-Commerce. Shay Gershtein, Tova Milo, Slava Novgorodov |
| 2019 | Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction. Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao |
| 2019 | Regularizing Deep Neural Networks by Ensemble-based Low-Level Sample-Variances Method. Shuai Yao, Yuexian Hou, Liangzhu Ge, Zeting Hu |
| 2019 | Reinforcement Learning with Sequential Information Clustering in Real-Time Bidding. Junwei Lu, Chaoqi Yang, Xiaofeng Gao, Liubin Wang, Changcheng Li, Guihai Chen |
| 2019 | Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie |
| 2019 | ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang |
| 2019 | Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks. Ruihong Qiu, Jingjing Li, Zi Huang, Hongzhi Yin |
| 2019 | Robust Embedded Deep K-means Clustering. Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu |
| 2019 | SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng |
| 2019 | SIMILANT: An Analytic Tool for Similarity Modeling. David Bernhauer, Tomás Skopal, Irena Holubová, Ladislav Peska, Martin Svoboda |
| 2019 | STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu |
| 2019 | Scalable Causal Graph Learning through a Deep Neural Network. Chenxiao Xu, Hao Huang, Shinjae Yoo |
| 2019 | Scalable Manifold-Regularized Attributed Network Embedding via Maximum Mean Discrepancy. Jun Wu, Jingrui He |
| 2019 | SeiSMo: Semi-supervised Time Series Motif Discovery for Seismic Signal Detection. M. Ashraf Siddiquee, Zeinab Akhavan, Abdullah Mueen |
| 2019 | Selecting the Optimal Groups: Efficiently Computing Skyline k-Cliques. Chen Zhang, Wenjie Zhang, Ying Zhang, Lu Qin, Fan Zhang, Xuemin Lin |
| 2019 | Semantically Driven Auto-completion. Konstantine Arkoudas, Mohamed Yahya |
| 2019 | Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu |
| 2019 | Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He |
| 2019 | Sentiment Lexicon Enhanced Neural Sentiment Classification. Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie |
| 2019 | Session-based Recommendation with Hierarchical Memory Networks. Bo Song, Yi Cao, Weifeng Zhang, Congfu Xu |
| 2019 | Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks. Souvick Ghosh, Chirag Shah |
| 2019 | Set Reconciliation with Cuckoo Filters. Lailong Luo, Deke Guo, Ori Rottenstreich, Richard T. B. Ma, Xueshan Luo |
| 2019 | Sexual Harassment Story Classification and Key Information Identification. Yingchi Liu, Quanzhi Li, Xiaozhong Liu, Qiong Zhang, Luo Si |
| 2019 | Shared-Nothing Distributed Enumeration of 2-Plexes. Alessio Conte, Donatella Firmani, Maurizio Patrignani, Riccardo Torlone |
| 2019 | Similarity-Aware Network Embedding with Self-Paced Learning. Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla |
| 2019 | Sketching Streaming Histogram Elements using Multiple Weighted Factors. Quang-Huy Duong, Heri Ramampiaro, Kjetil Nørvåg |
| 2019 | SkyRec: Finding Pareto Optimal Groups. Jinfei Liu, Li Xiong, Jian Pei, Jun Luo, Haoyu Zhang, Si Zhang |
| 2019 | Social Cards Probably Provide For Better Understanding Of Web Archive Collections. Shawn M. Jones, Michele C. Weigle, Michael L. Nelson |
| 2019 | Social-Aware VR Configuration Recommendation via Multi-Feedback Coupled Tensor Factorization. Hsu-Chao Lai, Hong-Han Shuai, De-Nian Yang, Jiun-Long Huang, Wang-Chien Lee, Philip S. Yu |
| 2019 | Soft Frequency Capping for Improved Ad Click Prediction in Yahoo Gemini Native. Michal Aharon, Yohay Kaplan, Rina Levy, Oren Somekh, Ayelet Blanc, Neetai Eshel, Avi Shahar, Assaf Singer, Alex Zlotnik |
| 2019 | Spam Review Detection with Graph Convolutional Networks. Ao Li, Zhou Qin, Runshi Liu, Yiqun Yang, Dong Li |
| 2019 | Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang |
| 2019 | SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou |
| 2019 | Spotting Terrorists by Learning Behavior-aware Heterogeneous Network Embedding. Pei-Chi Wang, Cheng-Te Li |
| 2019 | Streamline Density Peak Clustering for Practical Adoptions. Shuai Yang, Xipeng Shen, Min Chi |
| 2019 | Synergizing Local and Global Models for Matrix Approximation. Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang |
| 2019 | Synergy of Database Techniques and Machine Learning Models for String Similarity Search and Join. Jiaheng Lu, Chunbin Lin, Jin Wang, Chen Li |
| 2019 | System Deterioration Detection and Root Cause Learning on Time Series Graphs. Hao Huang, Shinjae Yoo, Yunwen Xu |
| 2019 | Taming Social Bots: Detection, Exploration and Measurement. Abdullah Mueen, Nikan Chavoshi, Amanda J. Minnich |
| 2019 | Task-Guided Pair Embedding in Heterogeneous Network. Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu |
| 2019 | Temporal Network Embedding with Micro- and Macro-dynamics. Yuanfu Lu, Xiao Wang, Chuan Shi, Philip S. Yu, Yanfang Ye |
| 2019 | Tensor Decomposition-based Node Embedding. Shah Muhammad Hamdi, Soukaina Filali Boubrahimi, Rafal A. Angryk |
| 2019 | The Fisher-Rao Metric in Computer Vision. Stephen John Maybank |
| 2019 | TianGong-ST: A New Dataset with Large-scale Refined Real-world Web Search Sessions. Jia Chen, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma |
| 2019 | Time Series Prediction with Interpretable Data Reconstruction. Qiangxing Tian, Jinxin Liu, Donglin Wang, Ao Tang |
| 2019 | Time-Series Aware Precision and Recall for Anomaly Detection: Considering Variety of Detection Result and Addressing Ambiguous Labeling. Won-Seok Hwang, Jeong-Han Yun, Jonguk Kim, HyoungChun Kim |
| 2019 | Towards Accurate and Interpretable Sequential Prediction: A CNN & Attention-Based Feature Extractor. Jingyi Wang, Qiang Liu, Zhaocheng Liu, Shu Wu |
| 2019 | Towards Effective and Interpretable Person-Job Fitting. Ran Le, Wenpeng Hu, Yang Song, Tao Zhang, Dongyan Zhao, Rui Yan |
| 2019 | Towards Explainable Representation of Time-Evolving Graphs via Spatial-Temporal Graph Attention Networks. Zhining Liu, Dawei Zhou, Jingrui He |
| 2019 | Towards More Usable Dataset Search: From Query Characterization to Snippet Generation. Jinchi Chen, Xiaxia Wang, Gong Cheng, Evgeny Kharlamov, Yuzhong Qu |
| 2019 | Towards Stochastic Simulations of Relevance Profiles. Kevin Roitero, Andrea Brunello, Julián Urbano, Stefano Mizzaro |
| 2019 | Towards the Gradient Vanishing, Divergence Mismatching and Mode Collapse of Generative Adversarial Nets. Zhaoyu Zhang, Changwei Luo, Jun Yu |
| 2019 | TraVis: An Interactive Visualization System for Mining Inbound Traveler Activities by Leveraging Mobile Ad Request Data. Pei-Xun Wang, Hsuan Chiu, Wen-Qian Chen, Che-Chia Chang, Yu-Hsuan Huang, Tzu-Hao Huang, Yuchun Lai, Chia-Hu Chang |
| 2019 | Tracking Top-k Influential Users with Relative Errors. Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen |
| 2019 | TuneR: Fine Tuning of Rule-based Entity Matchers. Matteo Paganelli, Paolo Sottovia, Francesco Guerra, Yannis Velegrakis |
| 2019 | UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. Qingxiong 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 |
| 2019 | Understanding Data in the Blink of an Eye. Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra |
| 2019 | Understanding Default Behavior in Online Lending. Yang Yang, Yuhong Xu, Chunping Wang, Yizhou Sun, Fei Wu, Yueting Zhuang, Ming Gu |
| 2019 | Unsupervised Concept Drift Detection with a Discriminative Classifier. Ömer Gözüaçik, Alican Büyükçakir, Hamed R. Bonab, Fazli Can |
| 2019 | Unsupervised Representation Learning of Spatial Data via Multimodal Embedding. Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li |
| 2019 | Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks. Yiying Yang, Zhongyu Wei, Qin Chen, Libo Wu |
| 2019 | Video-level Multi-model Fusion for Action Recognition. Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, Haisheng Li |
| 2019 | Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance. Yanhao Zhang, Pan Pan, Yun Zheng, Kang Zhao, Jianmin Wu, Yinghui Xu, Rong Jin |
| 2019 | What Can History Tell Us? Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen |
| 2019 | What You Look Matters?: Offline Evaluation of Advertising Creatives for Cold-start Problem. Zhichen Zhao, Lei Li, Bowen Zhang, Meng Wang, Yuning Jiang, Li Xu, Fengkun Wang, Wei-Ying Ma |
| 2019 | Wide-Ranging Review Manipulation Attacks: Model, Empirical Study, and Countermeasures. Parisa Kaghazgaran, Majid Alfifi, James Caverlee |
| 2019 | dEFEND: A System for Explainable Fake News Detection. Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| 2019 | kBrowse: kNN Graph Browser. Ramon Bespinyowong, Anthony K. H. Tung |