CIKM - RankMe – RankMe

495 papers

Year	Title / Authors
2020	"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification. Luiz Felipe Mendes, Marcos André Gonçalves, Washington Cunha, Leonardo Rocha, Thierson Couto Rosa, Wellington Martins
2020	3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020). Gong Cheng, Kalpa Gunaratna, Jun Wang
2020	A Capsule Network-based Model for Learning Node Embeddings. Dai Quoc Nguyen, Tu Dinh Nguyen, Dat Quoc Nguyen, Dinh Phung
2020	A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query Processing. Antonio Mallia, Michal Siedlaczek, Mengyang Sun, Torsten Suel
2020	A Cost Estimation Technique for Recursive Relational Algebra. Muideen Lawal, Pierre Genevès, Nabil Layaïda
2020	A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments? Julian Risch, Ralf Krestel
2020	A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. Liyi Guo, Rui Lu, Haoqi Zhang, Junqi Jin, Zhenzhe Zheng, Fan Wu, Jin Li, Haiyang Xu, Han Li, Wenkai Lu, Jian Xu, Kun Gai
2020	A Feature-Importance-Aware and Robust Aggregator for GCN. Li Zhang, Haiping Lu
2020	A Framework for Analyzing the Impact of Missing Data in Predictive Models. Fabiola Santore, Eduardo C. de Almeida, Wagner Hugo Bonat, Eduardo H. M. Pena, Luiz Eduardo Soares de Oliveira
2020	A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information. Avirup Saha, Niloy Ganguly
2020	A Graph Matching Attack on Privacy-Preserving Record Linkage. Anushka Vidanage, Peter Christen, Thilina Ranbaduge, Rainer Schnell
2020	A Human-in-the-Loop Approach to Malware Author Classification. Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi, Sang-Wook Kim
2020	A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
2020	A Large Test Collection for Entity Aspect Linking. Jordan Ramsdell, Laura Dietz
2020	A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions. Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce, Lourdes Martínez-Villaseñor
2020	A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias. Michael Färber, Victoria Burkard, Adam Jatowt, Sora Lim
2020	A Reinforced Semi-supervised Neural Network for Helpful Review Identification. Yue Feng, Miao Fan, Mingming Sun, Ping Li
2020	A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction. Bardh Prenkaj, Paola Velardi, Damiano Distante, Stefano Faralli
2020	A Synopses Data Engine for Interactive Extreme-Scale Analytics. Antonis Kontaxakis, Nikos Giatrakos, Antonios Deligiannakis
2020	A Toolkit for Managing Multiple Crowdsourced Top-K Queries. Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng
2020	A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities. Mingda Li, Weiting Gao, Yi Chen
2020	A View-Adversarial Framework for Multi-View Network Embedding. Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020	AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach. Justin Sybrandt, Ilya Tyagin, Michael Shtutman, Ilya Safro
2020	AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence. Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas
2020	ALEX: Active Learning based Enhancement of a Classification Model's EXplainability. Ishani Mondal, Debasis Ganguly
2020	ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry? Hyokmin Kwon, Jaeho Han, Kyungsik Han
2020	AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data. Minh-Tien Nguyen, Le Tien Dung, Le Thai Linh, Nguyen Hong Son, Do Hoang Thai Duong, Bui Cong Minh, Nguyen Hai Phong, Nguyen Huu Hiep
2020	Accelerating Discovery Science with an Internet of FAIR Data and Services. Michel Dumontier
2020	Active Hazard Observation via Human in the Loop Social Media Analytics System. Zhenyu Wen, Jedsada Phengsuwan, Nipun Balan Thekkummal, Rui Sun, Pooja jamathi-Chidananda, Tejal Shah, Philip James, Rajiv Ranjan
2020	Active Query of Private Demographic Data for Learning Fair Models. Yijun Liu, Chao Lan
2020	Active Search using Meta-Bandits. Shengli Zhu, Jakob Coles, Sihong Xie
2020	Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification. Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan
2020	AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce. Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen
2020	Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He
2020	An Adaptive Embedding Framework for Heterogeneous Information Networks. Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen
2020	An Empirical Study on Clarifying Question-Based Systems. Jie Zou, Evangelos Kanoulas, Yiqun Liu
2020	An Event-Oriented Neural Ranking Model for News Retrieval. Lin Zhao, Wanhui Qian, Liangjun Zang, Fuqing Zhu, Yijun Lu, Ruixuan Li, Jizhong Han, Songlin Hu
2020	An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening. José F. Rodrigues Jr., Jean Louis Pépin, Lorraine Goeuriot, Sihem Amer-Yahia
2020	An Index Advisor Using Deep Reinforcement Learning. Hai Lan, Zhifeng Bao, Yuwei Peng
2020	An NVM SSD-Optimized Query Processing Framework. Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu
2020	Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank. Tao Yang, Shikai Fang, Shibo Li, Yulan Wang, Qingyao Ai
2020	Anomaly Subgraph Detection with Feature Transfer. Ying Sun, Wenjun Wang, Nannan Wu, Wei Yu, Xue Chen
2020	Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs. Xavier Baril, Oihana Coustié, Josiane Mothe, Olivier Teste
2020	Approximate Event Pattern Matching over Heterogeneous and Dirty Sources. Ruihong Huang
2020	April: An Automatic Graph Data Management System Based on Reinforcement Learning. Hongzhi Wang, Zhixin Qi, Lei Zheng, Yun Feng, Junfei Ouyang, Haoqi Zhang, Xiangxi Zhang, Ziming Shen, Shirong Liu
2020	ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. Kristian Gingstad, Øyvind Jekteberg, Krisztian Balog
2020	Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results. Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim
2020	Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers. Siwei Li, Zhiyan Zhou, Anish Upadhayay, Omar Shaikh, Scott Freitas, Haekyu Park, Zijie J. Wang, Susanta Routray, Matthew Hull, Duen Horng Chau
2020	Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. Bin Liang, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu
2020	Attacking Recommender Systems with Augmented User Profiles. Chen Lin, Si Chen, Hui Li, Yanghua Xiao, Lianyun Li, Qian Yang
2020	Attributed Network Embedding based on Mutual Information Estimation. Xiaomin Liang, Daifeng Li, Andrew D. Madden
2020	Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics. Ritwik Sinha, Ivan Andrus, Trevor Paulsen
2020	AutoADR: Automatic Model Design for Ad Relevance. Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
2020	AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020	Automatic Contextual Storytelling in a Natural Language Corpus. Ishrat Rahman Sami
2020	Automatic Gaussian Process Model Retrieval for Big Data. Fabian Berns, Christian Beecks
2020	Autonomous Predictive Modeling via Reinforcement Learning. Udayan Khurana, Horst Samulowitz
2020	Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang
2020	Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network. Jian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen, Yilong Yin
2020	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	Bid Shading in The Brave New World of First-Price Auctions. Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2020	BioKG: A Knowledge Graph for Relational Learning On Biological Data. Brian Walsh, Sameh K. Mohamed, Vít Novácek
2020	BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu
2020	Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision. Jae-woong Lee, Young-In Song, Deokmin Haam, Sanghoon Lee, Woo-Sik Choi, Jongwuk Lee
2020	Bringing Order to Network Embedding: A Relative Ranking based Approach. Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu
2020	Building Test Collections using Bandit Techniques: A Reproducibility Study. Bahadir Altun, Mücahid Kutlu
2020	CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
2020	CC-News-En: A Large English News Corpus. Joel M. Mackenzie, Rodger Benham, Matthias Petri, Johanne R. Trippas, J. Shane Culpepper, Alistair Moffat
2020	CGTR: Convolution Graph Topology Representation for Document Ranking. Yuanyuan Qi, Jiayue Zhang, Yansong Liu, Weiran Xu, Jun Guo
2020	CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 Mathieu d'Aquin, Stefan Dietze, Claudia Hauff, Edward Curry, Philippe Cudré-Mauroux
2020	CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding. Xiyuan Chen, Mark Heimann, Fatemeh Vahedian, Danai Koutra
2020	CR-Graph: Community Reinforcement for Accurate Community Detection. Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin, Sang-Wook Kim
2020	CSNE: Conditional Signed Network Embedding. Alexandru Mara, Yoosof Mashayekhi, Jefrey Lijffijt, Tijl De Bie
2020	CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim, Harald Sack, Volker Tresp
2020	Calibration of Google Trends Time Series. Robert West
2020	Can Adversarial Weight Perturbations Inject Neural Backdoors. Siddhant Garg, Adarsh Kumar, Vibhor Goel, Yingyu Liang
2020	Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection. Hwanjun Song, Minseok Kim, Sundong Kim, Jae-Gil Lee
2020	Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao
2020	CauseNet: Towards a Causality Graph Extracted from the Web. Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, Martin Potthast
2020	Ceres: Harvesting Knowledge from the Semi-structured Web. Xin Luna Dong
2020	Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses. Bardh Prenkaj, Giovanni Stilo, Lorenzo Madeddu
2020	Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models. Benedek Rozemberczki, Rik Sarkar
2020	Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2020	Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding. Dakshak Keerthi Chandra, Pengyang Wang, Jennifer L. Leopold, Yanjie Fu
2020	CommDGI: Community Detection Oriented Deep Graph Infomax. Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao, Yangyong Zhu
2020	Community Identification in Signed Networks: A K-Truss Based Model. Jun Zhao, Renjie Sun, Qiuyu Zhu, Xiaoyang Wang, Chen Chen
2020	Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo
2020	Compression of Deep Learning Models for NLP. Manish Gupta, Vasudeva Varma, Sonam Damani, Kedhar Nath Narahari
2020	Computational Approaches for Drug Repositioning: Towards a Holistic Perspective based on Knowledge Graphs. Marina Boudin
2020	Computing and Illustrating Query Rewritings on Path Views with Binding Patterns. Julien Romero, Nicoleta Preda, Antoine Amarilli, Fabian M. Suchanek
2020	ContentWise Impressions: An Industrial Dataset with Impressions Included. Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Lorenzo Saule, Mario Scriminaci, Paolo Cremonesi
2020	Continual Domain Adaptation for Machine Reading Comprehension. Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020	Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation. Suhrid Satyal, Nick Fletcher, Shameek Ghosh
2020	Continuous-Time Dynamic Graph Learning via Neural Interaction Processes. Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi
2020	Controllable Multi-Character Psychology-Oriented Story Generation. Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du
2020	Controlling Patent Text Generation by Structural Metadata. Jieh-Sheng Lee
2020	Cooperative Multi-Agent Reinforcement Learning in Express System. Yexin Li, Yu Zheng, Qiang Yang
2020	Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures. Justin Zobel, Lida Rashidi
2020	CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information. Heer Ambavi, Kavita Vaishnaw, Udit Vyas, Abhisht Tiwari, Mayank Singh
2020	Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns. Adir Solomon, Amit Magen, Simo Hanouna, Mor Kertis, Bracha Shapira, Lior Rokach
2020	Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach
2020	Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks. Meng Liu, Jianjun Li, Guohui Li, Peng Pan
2020	Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation. Sanghak Lee, Seungmin Seo, Byungkook Oh, Kyong-Ho Lee, Dong-Hoon Shin, Yeonsoo Lee
2020	DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation. Hailin Hu, MingJian Tang, Chengcheng Bai
2020	DE-RRD: A Knowledge Distillation Framework for Recommender System. SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
2020	DECWA: Density-Based Clustering using Wasserstein Distance. Nabil El Malki, Robin Cugny, Olivier Teste, Franck Ravat
2020	DREAM: A Dynamic Relation-Aware Model for Social Recommendation. Liqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao
2020	DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics. Hyojung Paik, Sunyong Yoo, Hojung Nam, Mark Stevenson, Albert No
2020	Data Augmentation for Graph Classification. Jiajun Zhou, Jie Shen, Qi Xuan
2020	DataMod2020: 9th International Symposium "From Data to Models and Back". Juliana Bowles, Giovanna Broccia, Mirco Nanni
2020	DeText: A Deep Text Ranking Framework with BERT. Weiwei Guo, Xiaowei Liu, Sida Wang, Huiji Gao, Ananth Sankar, Zimeng Yang, Qi Guo, Liang Zhang, Bo Long, Bee-Chung Chen, Deepak Agarwal
2020	Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan
2020	Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks. Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin
2020	Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen
2020	Deep Generative Positive-Unlabeled Learning under Selection Bias. Byeonghu Na, Hyemi Kim, Kyungwoo Song, Weonyoung Joo, Yoon-Yeong Kim, Il-Chul Moon
2020	Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction. Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao
2020	Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang
2020	Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision. Naoki Muramoto, Hai-Tao Yu
2020	Deep Multi-Interest Network for Click-through Rate Prediction. Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
2020	Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
2020	Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection. Ruiqiang Liu, Shuai Zhao, Bo Cheng, Hao Yang, Haina Tang, Taoyu Li
2020	Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction. Xiang Li, Chao Wang, Bin Tong, Jiwei Tan, Xiaoyi Zeng, Tao Zhuang
2020	Denoising Individual Bias for Fairer Binary Submatrix Detection. Changlin Wan, Wennan Chang, Tong Zhao, Sha Cao, Chi Zhang
2020	Deriving Geolocations in Wikipedia. Amir Krause, Sara Cohen
2020	Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes. Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie
2020	Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube. Sultan Alshamrani
2020	Detection of Novel Social Bots by Ensembles of Specialized Classifiers. Mohsen Sayyadiharikandeh, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, Filippo Menczer
2020	Dimension Relation Modeling for Click-Through Rate Prediction. Zihao Zhao, Zhiwei Fang, Yong Li, Changping Peng, Yongjun Bao, Weipeng Yan
2020	DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2020	Distant Supervision in BERT-based Adhoc Document Retrieval. Koustav Rudra, Avishek Anand
2020	DistilSum: : Distilling the Knowledge for Extractive Summarization. Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan
2020	Diverse Enumeration of Maximal Cliques. Liron Sade, Sara Cohen
2020	Diversifying Multi-aspect Search Results Using Simpson's Diversity Index. Jianghong Zhou, Eugene Agichtein, Surya Kallumadi
2020	Diversifying Search Results using Self-Attention Network. Xubo Qin, Zhicheng Dou, Ji-Rong Wen
2020	Diversifying Top-k Point-of-Interest Queries via Collective Social Reach. Stella Maropaki, Sean Chester, Christos Doulkeridis, Kjetil Nørvåg
2020	Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation. Valeria Bolotova, Vladislav Blinov, Yukun Zheng, W. Bruce Croft, Falk Scholer, Mark Sanderson
2020	Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS. Junho Song, Hyekyoung Park, Kyungsik Han, Sang-Wook Kim
2020	Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation. Bei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu, Zhi Tang
2020	Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions. Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu, Jun Zhao
2020	Dynamic Representation Learning for Large-Scale Attributed Networks. Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan, Junyu Dong
2020	DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation. Md. Mehrab Tanjim, Hammad A. Ayyubi, Garrison W. Cottrell
2020	E-Commerce Dispute Resolution Prediction. David Tsurel, Michael Doron, Alexander Nus, Arnon Dagan, Ido Guy, Dafna Shahaf
2020	E-commerce Recommendation with Weighted Expected Utility. Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020	EPNet: Learning to Exit with Flexible Multi-Branch Network. Xin Dai, Xiangnan Kong, Tian Guo
2020	EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. Zhiqiang Zhang, Jun Zhou, Chuan Shi
2020	EdgeRec: Recommender System on Edge in Mobile Taobao. Yu Gong, Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou
2020	Efficient Detection of Data Dependency Violations. Eduardo H. M. Pena, Edson Ramiro Lucas Filho, Eduardo C. de Almeida, Felix Naumann
2020	Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. Yaqing Wang, Fenglong Ma, Jing Gao
2020	Efficient Neural Query Auto Completion. Sida Wang, Weiwei Guo, Huiji Gao, Bo Long
2020	Efficient Sampling Algorithms for Approximate Temporal Motif Counting. Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan
2020	Efficiently Training Intelligible Models for Global Explanations. Yin Lou, Yongliang Wang, Shiwei Liang, Yang Dong
2020	Elevated Road Network: A Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road. Xiaobing Zhang, Hailiang Xu, Jian Yang, Jia Sun, Fan Chen, Leiyun Li
2020	Embedding Node Structural Role Identity into Hyperbolic Space. Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi
2020	Embedding based Link Prediction for Knowledge Graph Completion. Russa Biswas
2020	Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods. Shubhra (Santu) K. Karmaker, Parikshit Sondhi, ChengXiang Zhai
2020	EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters. Shalini Priya, Apoorva Upadhyaya, Manish Bhanu, Sourav Kumar Dandapat, Joydeep Chandra
2020	Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification. Kaijia Yang, Nantao Zheng, Xinyu Dai, Liang He, Shujian Huang, Jiajun Chen
2020	Enhanced Story Representation by ConceptNet for Predicting Story Endings. Shanshan Huang, Kenny Q. Zhu, Qianzi Liao, Libin Shen, Yinggong Zhao
2020	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu
2020	Ensemble Block Co-clustering: A Unified Framework for Text Data. Séverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020	Ensembled CTR Prediction via Knowledge Distillation. Jieming Zhu, Jinyang Liu, Weiqi Li, Jincai Lai, Xiuqiang He, Liang Chen, Zibin Zheng
2020	Error-Bounded Graph Anomaly Loss for GNNs. Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
2020	Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain. Lukas Gienapp, Benno Stein, Matthias Hagen, Martin Potthast
2020	Evaluating Stochastic Rankings with Expected Exposure. Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
2020	Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models. Isaiah Onando Mulang', Kuldeep Singh, Chaitali Prabhu, Abhishek Nadgeri, Johannes Hoffart, Jens Lehmann
2020	Event-Driven Network for Cross-Modal Retrieval. Zhixiong Zeng, Nan Xu, Wenji Mao
2020	Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs. Tarcísio Souza Costa, Simon Gottschalk, Elena Demidova
2020	Examining the Additivity of Top-k Query Processing Innovations. Joel M. Mackenzie, Alistair Moffat
2020	Expert-in-the-loop AI for Polymer Discovery. Petar Ristoski, Dmitry Yu. Zubarev, Anna Lisa Gentile, Nathaniel Park, Daniel Sanders, Daniel Gruhl, Linda Kato, Steve Welch
2020	Explainable Recommender Systems via Resolving Learning Representations. Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi
2020	Exploiting Class Labels to Boost Performance on Embedding-based Text Classification. Arkaitz Zubiaga
2020	Exploiting Common Neighbor Graph for Link Prediction. Hao Tian, Reza Zafarani
2020	Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures. Stefan Halfpap, Rainer Schlosser
2020	Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. Feng Yuan, Lina Yao, Boualem Benatallah
2020	Extracting N-ary Facts from Wikipedia Table Clusters. Benno Kruit, Peter Boncz, Jacopo Urbani
2020	FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan
2020	FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking. Mohammad Bahrani, Thomas Roelleke
2020	Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes. Shen Yan, Hsien-Te Kao, Emilio Ferrara
2020	Fairness in Unsupervised Learning. Deepak P, Joemon M. Jose, Sanil V
2020	Fairness-Aware Learning with Prejudice Free Representations. Ramanujam Madhavan, Mohit Wadhwa
2020	Falcon 2.0: An Entity and Relation Linking Tool over Wikidata. Ahmad Sakor, Kuldeep Singh, Anery Patel, Maria-Esther Vidal
2020	Fast Attributed Multiplex Heterogeneous Network Embedding. Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan, Junyu Dong
2020	Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion. Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li
2020	Fast and Scalable Outlier Detection with Sorted Hypercubes. Eugênio F. Cabral, Robson L. F. Cordeiro
2020	Feature Extraction for Large-Scale Text Collections. Luke Gallagher, Antonio Mallia, J. Shane Culpepper, Torsten Suel, Berkant Barla Cambazoglu
2020	Feature Fusion Based Subgraph Classification for Link Prediction. Zheyi Liu, Darong Lai, Chuanyou Li, Meng Wang
2020	Feature Selection on Data Stream via Multi-Cluster Structure Preservation. Rui Ma, Yijie Wang, Li Cheng
2020	Feedback Loop and Bias Amplification in Recommender Systems. Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke
2020	Few-shot Insider Threat Detection. Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong
2020	Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
2020	Fine-Tuned Compressed Representations of Vessel Trajectories. Giannis Fikioris, Kostas Patroumpas, Alexander Artikis, Georgios Paliouras, Manolis Pitsikalis
2020	Flexible IR Pipelines with Capreolus. Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin
2020	Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou
2020	Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection. Hongyu Liu, Ruifang He, Haocheng Wang, Bo Wang
2020	G-CREWE: Graph CompREssion With Embedding for Network Alignment. Kyle Kai Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra
2020	GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion. Yanfei Han, Quan Fang, Jun Hu, Shengsheng Qian, Changsheng Xu
2020	GGDs: Graph Generating Dependencies. Larissa Capobianco Shimomura, George Fletcher, Nikolay Yakovets
2020	GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation. Yajun Huang, Jingbin Zhang, Yiyang Yang, Zhiguo Gong, Zhifeng Hao
2020	Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen
2020	GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu
2020	Generate Neural Template Explanations for Recommendation. Lei Li, Yongfeng Zhang, Li Chen
2020	Generating Categories for Sets of Entities. Shuo Zhang, Krisztian Balog, Jamie Callan
2020	Generating Clarifying Questions in Conversational Search Systems. Leila Tavakoli
2020	Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach. Nan Xiao, Nan Hu, Liang Yu, Cheng Long
2020	Generative Adversarial Attributed Network Anomaly Detection. Zhenxing Chen, Bo Liu, Meiqing Wang, Peng Dai, Jun Lv, Liefeng Bo
2020	Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network. Zhenyu Han, Fengli Xu, Jinghan Shi, Yu Shang, Haorui Ma, Pan Hui, Yong Li
2020	GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams. Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa, Kyoung-Sook Kim
2020	GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs. Reihaneh Amini, Lu Zhou, Pascal Hitzler
2020	GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla
2020	Graph Few-shot Learning with Attribute Matching. Ning Wang, Minnan Luo, Kaize Ding, Lingling Zhang, Jundong Li, Qinghua Zheng
2020	Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin
2020	Graph Prototypical Networks for Few-shot Learning on Attributed Networks. Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu
2020	Graph Unfolding Networks. Hao Chen, Wenbing Huang, Yue Xu, Fuchun Sun, Zhoujun Li
2020	GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020	Gtensor: Fast and Accurate Tensor Analysis System using GPUs. Dawon Ahn, Sangjun Son, U Kang
2020	Helix: DGA Domain Embeddings for Tracking and Exploring Botnets. Lior Sidi, Yisroel Mirsky, Asaf Nadler, Yuval Elovici, Asaf Shabtai
2020	Hierarchical Active Learning with Overlapping Regions. Zhipeng Luo, Milos Hauskrecht
2020	Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng
2020	Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang
2020	How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
2020	How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases. Gongsheng Yuan
2020	Hybrid Dynamic Pruning for Efficient and Effective Query Processing. Wenxiu Fang, Trent G. Marbach, Gang Wang, Xiaoguang Liu
2020	Hyper-Substructure Enhanced Link Predictor. Jian Zhang, Jun Zheng, Jinyin Chen, Qi Xuan
2020	Hypergraph Random Walks, Laplacians, and Clustering. Koby Hayashi, Sinan G. Aksoy, Cheong Hee Park, Haesun Park
2020	IAI MovieBot: A Conversational Movie Recommender System. Javeria Habib, Shuo Zhang, Krisztian Balog
2020	IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database. Chen Chen, Jiping Zheng, Weijun Yan, Meijing Wang
2020	INforE: Interactive Cross-platform Analytics for Everyone. Nikos Giatrakos, David Arnu, Theodoros Bitsakis, Antonios Deligiannakis, Minos N. Garofalakis, Ralf Klinkenberg, Aris Konidaris, Antonis Kontaxakis, Yannis Kotidis, Vasilis Samoladas, Alkis Simitsis, George Stamatakis, Fabian Temme, Mate Torok, Edwin Yaqub, Arnau Montagud, Miguel Ponce de Leon, Holger Arndt, Stefan Burkard
2020	ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems. Youjin Shin, Sangyup Lee, Shahroz Tariq, Myeong Shin Lee, Okchul Jung, Daewon Chung, Simon S. Woo
2020	IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search. Anett Hoppe, Ran Yu, Yvonne Kammerer, Ladislao Salmerón
2020	Image Captioning with Internal and External Knowledge. Feicheng Huang, Zhixin Li, Shengjia Chen, Canlong Zhang, Huifang Ma
2020	Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning. Hao Huang, Chenxiao Xu, Shinjae Yoo, Weizhong Yan, Tianyi Wang, Feng Xue
2020	Impression Pacing for Jobs Marketplace at LinkedIn. Sahin Cem Geyik, Luthfur Chowdhury, Florian Raudies, Wen Pu, Jianqiang Shen
2020	Improving Anchor-based Explanations. Julien Delaunay, Luis Galárraga, Christine Largouët
2020	Improving End-to-End Sequential Recommendations with Intent-aware Diversification. Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke
2020	Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. Pengcheng Li, Runze Li, Qing Da, Anxiang Zeng, Lijun Zhang
2020	Incorporating User Feedback into Sequence to Sequence Model Training. Michaeel Kazi, Weiwei Guo, Huiji Gao, Bo Long
2020	Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs. Till Blume, David Richerby, Ansgar Scherp
2020	Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment. Jinjin Shao, Shiyu Ji, Alvin Oliver Glova, Yifan Qiao, Tao Yang, Tim Sherwood
2020	Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge. Julien Romero, Simon Razniewski
2020	Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging. Cheng Zhang, Xiaodong Yue, Yufei Chen, Ying Lv
2020	Intent-Driven Similarity in E-Commerce Listings. Gilad Fuchs, Yoni Acriche, Idan Hasson, Pavel Petrov
2020	InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features. Yilian Xin, Dezhuang Miao, Mengxia Zhu, Cheqing Jin, Xuesong Lu
2020	Introduction to Computer Vision and Realtime Deep Learning-based Object Detection. James G. Shanahan
2020	Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020	IoT Data Quality. Shaoxu Song, Aoqian Zhang
2020	Joint Estimation of User And Publisher Credibility for Fake News Detection. Rajdipa Chowdhury, Sriram Srinivasan, Lise Getoor
2020	Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai
2020	Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs. Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2020	Knowledge Graph Embedding Preserving Soft Logical Regularity. Shu Guo, Lin Li, Zhen Hui, Lingshuai Meng, Bingnan Ma, Wei Liu, Lihong Wang, Haibin Zhai, Hong Zhang
2020	Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas. Claudio Gutierrez, Juan F. Sequeda
2020	Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen
2020	LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction. Yichen Yao, Guozheng Li, Yujie Chen, Rongqi Li, Yinzhi Zhou, Xiaodong Zhang, Haoyuan Hu, Yinghui Xu
2020	LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks. Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi
2020	LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma
2020	Label-Aware Graph Convolutional Networks. Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li
2020	Laconic Image Classification: Human vs. Machine Performance. Javier Carrasco, Aidan Hogan, Jorge Pérez
2020	Large Scale Long-tailed Product Recognition System at Alibaba. Xiangzeng Zhou, Pan Pan, Yun Zheng, Yinghui Xu, Rong Jin
2020	Learning Better Representations for Neural Information Retrieval with Graph Information. Xiangsheng Li, Maarten de Rijke, Yiqun Liu, Jiaxin Mao, Weizhi Ma, Min Zhang, Shaoping Ma
2020	Learning Discriminative Virtual Sequences for Time Series Classification. Abhilash Dorle, Fangyu Li, Wenzhan Song, Sheng Li
2020	Learning Effective Representations for Person-Job Fit by Feature Fusion. Junshu Jiang, Songyun Ye, Wei Wang, Jingran Xu, Xiaosheng Luo
2020	Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture. Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang
2020	Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation. Buru Chang, Gwanghoon Jang, Seoyoon Kim, Jaewoo Kang
2020	Learning from Textual Data in Database Systems. Michael Günther, Philipp Oehme, Maik Thiele, Wolfgang Lehner
2020	Learning to Build User-tag Profile in Recommendation System. Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin
2020	Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement. Shaunak Mishra, Manisha Verma, Yichao Zhou, Kapil Thadani, Wei Wang
2020	Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems. Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan, Lu Zhang
2020	Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension. Kaushal Kumar Maurya, Maunendra Sankar Desarkar
2020	Learning to Form Skill-based Teams of Experts. Radin Hamidi Rad, Hossein Fani, Mehdi Kargar, Jaroslaw Szlichta, Ebrahim Bagheri
2020	Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding. Zihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin, Daxin Jiang
2020	Learning to Infer User Hidden States for Online Sequential Advertising. Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai
2020	Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network. Shuqing Bian, Xu Chen, Wayne Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen
2020	Learning to Personalize for Web Search Sessions. Saad Aloteibi, Stephen Clark
2020	Learning to Profile: User Meta-Profile Network for Few-Shot Learning. Hao Gong, Qifang Zhao, Tianyu Li, Derek Cho, DuyKhuong Nguyen
2020	Learning to Rank in the Position Based Model with Bandit Feedback. Beyza Ermis, Patrick Ernst, Yannik Stein, Giovanni Zappella
2020	Learning to Re-Rank with Contextualized Stopwords. Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury
2020	Learning to Selectively Update State Neurons in Recurrent Networks. Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke A. Rundensteiner
2020	Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies. Changchun Li, Ximing Li, Jihong Ouyang
2020	LensKit for Python: Next-Generation Software for Recommender Systems Experiments. Michael D. Ekstrand
2020	Leveraging Historical Interaction Data for Improving Conversational Recommender System. Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	Leveraging User Email Actions to Improve Ad-Close Prediction. Oleg Zendel, Yaroslav Fyodorov, Fiana Raiber, Natalia Silberstein, Oren Somekh, Ali Tabaja
2020	LiFT: A Scalable Framework for Measuring Fairness in ML Applications. Sriram Vasudevan, Krishnaram Kenthapadi
2020	Little Ball of Fur: A Python Library for Graph Sampling. Benedek Rozemberczki, Oliver Kiss, Rik Sarkar
2020	Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization. Hsu-Chao Lai, Jui-Yi Tsai, Hong-Han Shuai, Jiun-Long Huang, Wang-Chien Lee, De-Nian Yang
2020	Loan Default Analysis with Multiplex Graph Learning. Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
2020	LogBug: Generating Adversarial System Logs in Real Time. Jingyu Sun, Bingyu Liu, Yuan Hong
2020	Logic Enhanced Commonsense Inference with Chain Transformer. Chenxi Yuan, Chun Yuan, Yang Bai, Ziran Li
2020	M-Cypher: A GQL Framework Supporting Motifs. Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao
2020	MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
2020	MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang
2020	MERL: Multi-View Edge Representation Learning in Social Networks. Yi-Yu Lai, Jennifer Neville
2020	METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams. Amila Silva, Shanika Karunasekera, Christopher Leckie, Ling Luo
2020	MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data. Xiaoqing Geng, Xiwen Chen, Kenny Q. Zhu, Libin Shen, Yinggong Zhao
2020	MIMICS: A Large-Scale Data Collection for Search Clarification. Hamed Zamani, Gord Lueck, Everest Chen, Rodolfo Quispe, Flint Luu, Nick Craswell
2020	MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities. Jason Armitage, Endri Kacupaj, Golsa Tahmasebzadeh, Swati, Maria Maleshkova, Ralph Ewerth, Jens Lehmann
2020	MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou
2020	Magellan: A Personalized Travel Recommendation System Using Transaction Data. Konik Kothari, Dhruv Gelda, Wei Zhang, Hao Yang
2020	Masked-field Pre-training for User Intent Prediction. Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye
2020	Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui
2020	Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. Zhixuan Chu, Stephen L. Rathbun, Sheng Li
2020	Maximum Signed (k, r)-Truss Identification in Signed Networks. Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang, Qiuyu Zhu
2020	Meta-Learning for Neural Relation Classification with Distant Supervision. Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li
2020	MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning. Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach
2020	MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction. Wentao Ouyang, Xiuwu Zhang, Lei Zhao, Jinmei Luo, Yu Zhang, Heng Zou, Zhaojie Liu, Yanlong Du
2020	MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings. Anders H. Brams, Anders Langballe Jakobsen, Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose
2020	Minimal Edit-Based Diffs for Large Trees. Mateusz Pawlik, Nikolaus Augsten
2020	Mining Infrequent High-Quality Phrases from Domain-Specific Corpora. Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie, Yanghua Xiao
2020	Mining User Interests from Social Media. Fattane Zarrinkalam, Guangyuan Piao, Stefano Faralli, Ebrahim Bagheri
2020	Modelling Regional Crime Risk using Directed Graph of Check-ins. Shakila Khan Rumi, Flora D. Salim
2020	Modelling User Behavior Dynamics with Embeddings. Lei Han, Alessandro Checco, Djellel Eddine Difallah, Gianluca Demartini, Shazia Sadiq
2020	More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning. Jing Zhang, Yangli-ao Geng, Qingyong Li, Chuan Shi
2020	Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion. Shen Xin, Yizhou Ye, Martin Ester, Cheng Long, Jie Zhang, Zhao Li, Kaiying Yuan, Yanghua Li
2020	Multi-Model Data Query Languages and Processing Paradigms. Qingsong Guo, Jiaheng Lu, Chao Zhang, Calvin Sun, Steven Yuan
2020	Multi-modal Knowledge Graphs for Recommender Systems. Rui Sun, Xuezhi Cao, Yan Zhao, Junchen Wan, Kun Zhou, Fuzheng Zhang, Zhongyuan Wang, Kai Zheng
2020	Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang
2020	Multimodal Clustering via Deep Commonness and Uniqueness Mining. Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu
2020	Multimodal Knowledge Graph for Deep Learning Papers and Code. Amar Viswanathan Kannan, Dmitriy Fradkin, Ioannis Akrotirianakis, Tugba Kulahcioglu, Arquimedes Canedo, Aditi Roy, Shih-Yuan Yu, Arnav V. Malawade, Mohammad Abdullah Al Faruque
2020	Multiplex Graph Neural Networks for Multi-behavior Recommendation. Weifeng Zhang, Jingwen Mao, Yi Cao, Congfu Xu
2020	Muse: Multi-query Event Trend Aggregation. Allison Rozet, Olga Poppe, Chuan Lei, Elke A. Rundensteiner
2020	NASE: : Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search. Xiaoyu Kou, Bingfeng Luo, Huang Hu, Yan Zhang
2020	NHP: Neural Hypergraph Link Prediction. Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar
2020	NagE: Non-Abelian Group Embedding for Knowledge Graphs. Tong Yang, Long Sha, Pengyu Hong
2020	Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang
2020	Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification. Xi Wang, Iadh Ounis, Craig Macdonald
2020	Network Alignment: Recent Advances and Future Directions. Si Zhang, Hanghang Tong
2020	Neural (Knowledge Graph) Question Answering Using Synthetic Training Data. Trond Linjordet
2020	Neural Bayesian Information Processing. Jen-Tzung Chien
2020	Neural Formatting for Spreadsheet Tables. Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang
2020	Neural Logic Reasoning. Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang
2020	Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs. Erin MacDonald, Denilson Barbosa
2020	News Recommendation with Topic-Enriched Knowledge Graphs. Dongho Lee, Byungkook Oh, Seungmin Seo, Kyong-Ho Lee
2020	Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. Yun Li, Zhe Liu, Lina Yao, Zihuai He
2020	NumClaim: Investor's Fine-grained Claim Detection. Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
2020	OFFER: A Motif Dimensional Framework for Network Representation Learning. Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
2020	OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors. Li Tang, Haibo Hu
2020	OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection. Haolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi, Xuyun Zhang
2020	ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search. Nick Craswell, Daniel Campos, Bhaskar Mitra, Emine Yilmaz, Bodo Billerbeck
2020	Offline Evaluation by Maximum Similarity to an Ideal Ranking. Charles L. A. Clarke, Mark D. Smucker, Alexandra Vtyurina
2020	On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life. Arijit Ukil, Leandro Marín, Antonio Jara, John R. Farserotu
2020	On-demand Influencer Discovery on Social Media. Cheng Zheng, Qin Zhang, Sean D. Young, Wei Wang
2020	Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. Yang Deng, Wenxuan Zhang, Wai Lam
2020	Optimal End-Biased Histograms for Hierarchical Data. Rachel Behar, Sara Cohen
2020	Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting. Aziz Amezian El Khalfioui, Jonathan Joertz, Dorian Labeeuw, Gaëtan Staquet, Jef Wijsen
2020	P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang
2020	PSTIE: Time Information Enhanced Personalized Search. Zhengyi Ma, Zhicheng Dou, Guanyue Bian, Ji-Rong Wen
2020	PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries. Abir Farouzi, Ladjel Bellatreche, Carlos Ordonez, Gopal Pandurangan, Mimoun Malki
2020	Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang
2020	Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network. Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu
2020	Personalized Bundle Recommendation in Online Games. Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan, Liang Chen
2020	Personalized Flight Itinerary Ranking at Fliggy. Jinhong Huang, Yang Li, Shan Sun, Bufeng Zhang, Jin Huang
2020	Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
2020	Personalized Re-ranking with Item Relationships for E-commerce. Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020	Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. Fabian Moerchen, Patrick Ernst, Giovanni Zappella
2020	Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach. Bo Hui, Da Yan, Wei-Shinn Ku, Wenlu Wang
2020	Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov
2020	Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators. Yuechun Gu, Da Yan, Sibo Yan, Zhe Jiang
2020	Privacy-Preserving Classification with Secret Vector Machines. Valentin Hartmann, Konark Modi, Josep M. Pujol, Robert West
2020	PrivacyCheck v2: A Tool that Recaps Privacy Policies for You. Razieh Nokhbeh Zaeem, Safa Anya, Alex Issa, Jake Nimergood, Isabelle Rogers, Vinay Shah, Ayush Srivastava, K. Suzanne Barber
2020	PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning. Vaikkunth Mugunthan, Anton Peraire-Bueno, Lalana Kagal
2020	Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining. Chien Lu, Jaakko Peltonen, Jyrki Nummenmaa, Kalervo Järvelin
2020	Product Insights: Analyzing Product Intents in Web Search. Nikitha Rao, Chetan Bansal, Subhabrata Mukherjee, Chandra Shekhar Maddila
2020	Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning. Hao-Yi Chih, Yao-Chung Fan, Wen-Chih Peng, Hai-Yuan Kuo
2020	Profiling Entity Matching Benchmark Tasks. Anna Primpeli, Christian Bizer
2020	Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model. Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores
2020	Providing Direct Answers in Search Results: A Study of User Behavior. Zhijing Wu, Mark Sanderson, Berkant Barla Cambazoglu, W. Bruce Croft, Falk Scholer
2020	QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection. Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang
2020	Quality-Aware Ranking of Arguments. Lorik Dumani, Ralf Schenkel
2020	Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation. Thanh Tran, Di You, Kyumin Lee
2020	Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements. Lukas Brückner, Ioannis Arapakis, Luis A. Leiva
2020	Query Understanding for Surfacing Under-served Music Content. Federico Tomasi, Rishabh Mehrotra, Aasish Pappu, Judith Bütepage, Brian Brost, Hugo Galvão, Mounia Lalmas
2020	Query Understanding via Intent Description Generation. Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
2020	Query-aware Tip Generation for Vertical Search. Yang Yang, Junmei Hao, Canjia Li, Zili Wang, Jingang Wang, Fuzheng Zhang, Rao Fu, Peixu Hou, Gong Zhang, Zhongyuan Wang
2020	Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems. Zhenxin Fu, Shaobo Cui, Feng Ji, Ji Zhang, Haiqing Chen, Dongyan Zhao, Rui Yan
2020	RKT: Relation-Aware Self-Attention for Knowledge Tracing. Shalini Pandey, Jaideep Srivastava
2020	Ranking Clarification Questions via Natural Language Inference. Vaibhav Kumar, Vikas Raunak, Jamie Callan
2020	Ranking Enhanced Dialogue Generation. Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng
2020	Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks. Manjira Sinha, Tirthankar Dasgupta, Jatin Mandav
2020	Ranking User Attributes for Fast Candidate Selection in Recommendation Systems. Huichao Xue
2020	ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research. Xinyi Zhou, Apurva Mulay, Emilio Ferrara, Reza Zafarani
2020	ReQue: A Configurable Workflow and Dataset Collection for Query Refinement. Mahtab Tamannaee, Hossein Fani, Fattane Zarrinkalam, Jamil Samouh, Samad Paydar, Ebrahim Bagheri
2020	Recommending Inferior Results: A General and Feature-Free Model for Spam Detection. Yuli Liu
2020	Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation. Zhuo Li, Jiannong Cao, Zhongyu Yao, Wengen Li, Yu Yang, Jia Wang
2020	RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning. Cheng Feng, Xiao Liang, Daniel Schneegass, Pengwei Tian
2020	Relation Extraction with Self-determined Graph Convolutional Network. Sunil Kumar Sahu, Derek Thomas, Billy Chiu, Neha Sengupta, Mohammady Mahdy
2020	Relational Reflection Entity Alignment. Xin Mao, Wenting Wang, Huimin Xu, Yuanbin Wu, Man Lan
2020	Relevance Ranking for Real-Time Tweet Search. Yan Xia, Yu Sun, Tian Wang, Juan Caicedo Carvajal, Jinliang Fan, Bhargav Mangipudi, Lisa Huang, Yatharth Saraf
2020	Representative Negative Instance Generation for Online Ad Targeting. Yuhan Quan, Jingtao Ding, Depeng Jin, Jianbo Yang, Xing Zhou, Yong Li
2020	Rethinking Operators Placement of Stream Data Application in the Edge. Thomas Lambert, David Guyon, Shadi Ibrahim
2020	Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants. Anirban Chakraborty, Debasis Ganguly, Owen Conlan
2020	Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms. Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu, Ji-Rong Wen
2020	Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis. Yifei Ren, Jian Lou, Li Xiong, Joyce C. Ho
2020	Robust Normalized Squares Maximization for Unsupervised Domain Adaptation. Wenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan, Zhigang Luo
2020	RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model. Yanqi Lv, Peiquan Jin
2020	Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding. Chang Gao, Chengjie Sun, Lili Shan, Lei Lin, Mingjiang Wang
2020	S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization. Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen
2020	SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs. Enrique Iglesias, Samaneh Jozashoori, David Chaves-Fraga, Diego Collarana, Maria-Esther Vidal
2020	SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism. Tareq Al-Moslmi, Raphaël Troncy, André Freitas, Davide Ceolin, Abdullatif Abolohom
2020	ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo
2020	STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction. Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, YiJuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang
2020	STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation. Nicholas Lim, Bryan Hooi, See-Kiong Ng, Xueou Wang, Yong Liang Goh, Renrong Weng, Jagannadan Varadarajan
2020	STREAMER: A Powerful Framework for Continuous Learning in Data Streams. Sandra Garcia-Rodriguez, Mohammad AlShaer, Cédric Gouy-Pailler
2020	SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection. Guanyi Mou, Pengyi Ye, Kyumin Lee
2020	Sample Driven Data Mapping for Linked Data and Web APIs. Tobias Zeimetz, Ralf Schenkel
2020	Sample Optimization For Display Advertising. Hongliang Fei, Shulong Tan, Pengju Guo, Wenbo Zhang, Hongfang Zhang, Ping Li
2020	Schema-Agnostic Entity Matching using Pre-trained Language Models. Kai Sheng Teong, Lay-Ki Soon, Tin Tin Su
2020	Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web. Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam
2020	Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction. Qi Pi, Guorui Zhou, Yujing Zhang, Zhe Wang, Lejian Ren, Ying Fan, Xiaoqiang Zhu, Kun Gai
2020	Seasonal-Periodic Subgraph Mining in Temporal Networks. Qianzhen Zhang, Deke Guo, Xiang Zhao, Xinyi Li, Xi Wang
2020	Securing Bloom Filters for Privacy-preserving Record Linkage. Thilina Ranbaduge, Rainer Schnell
2020	Seed-free Graph De-anonymiztiation with Adversarial Learning. Kaiyang Li, Guoming Lu, Guangchun Luo, Zhipeng Cai
2020	Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model. Ansh Khurana, Alvis Logins, Panagiotis Karras
2020	SemFE: Facilitating ML Pipeline Development with Semantics. Baifan Zhou, Yulia Svetashova, Tim Pychynski, Ildar Baimuratov, Ahmet Soylu, Evgeny Kharlamov
2020	Semantic Search over Structured Data. Sainyam Galhotra, Udayan Khurana
2020	Semi-Supervised Graph-to-Graph Translation. Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020	Semi-Supervised Max-Sum Clustering. Konstantin Voevodski
2020	Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets. Tianshu Yang, Nicolas Pasquier, Antoine Hom, Laurent Dollé, Frédéric Precioso
2020	SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis. Erik Cambria, Yang Li, Frank Z. Xing, Soujanya Poria, Kenneth Kwok
2020	Sequential Recommender via Time-aware Attentive Memory Network. Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea
2020	Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu
2020	Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2020	Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning. Bingquan Yu, Jinqiu Guo, Qinpei Zhao, Jiangfeng Li, Weixiong Rao
2020	Soap: Soaking Capacity Optimization for Multi-Document Summarization. Kexiang Wang, Baobao Chang, Zhifang Sui
2020	Social Factors in Closed-Network Content Consumption. Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah
2020	Some Issues for Location Dependent Information System Query in Mobile Environment. Ajay Kr. Gupta
2020	Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia
2020	Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting. Bin Lu, Xiaoying Gan, Haiming Jin, Luoyi Fu, Haisong Zhang
2020	Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu
2020	Spectral Relaxations and Fair Densest Subgraphs. Aris Anagnostopoulos, Luca Becchetti, Adriano Fazzone, Cristina Menghini, Chris Schwiegelshohn
2020	Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection. Liangwei Li, Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren
2020	Star Graph Neural Networks for Session-based Recommendation. Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke
2020	Streaming Graph Neural Networks via Continual Learning. Junshan Wang, Guojie Song, Yi Wu, Liang Wang
2020	Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search. Shang Liu, Wanli Gu, Gao Cong, Fuzheng Zhang
2020	Structured Knowledge: Have we made progress? An extrinsic study of KB coverage over 19 years. Simon Razniewski, Priyanka Das
2020	Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs. Mostafa Haghir Chehreghani
2020	Succinct Adaptive Manifold Transfer. Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong
2020	Synthesis of Dependent Multichannel ECG using Generative Adversarial Networks. Eoin Brophy
2020	T-REX: A Topic-Aware Relation Extraction Model. Woohwan Jung, Kyuseok Shim
2020	TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval. Xingwu Sun, Hongyin Tang, Fuzheng Zhang, Yanling Cui, Beihong Jin, Zhongyuan Wang
2020	TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2020	TOMATO: A Topic-Wise Multi-Task Sparsity Model. Jason (Jiasheng) Zhang, Dongwon Lee
2020	TPR: Text-aware Preference Ranking for Recommender Systems. Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim
2020	Tailoring Entity Matching for Industrial Settings. Nils Barlaug
2020	The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media. Ebrahim Bagheri, Huan Liu, Kai Shu, Fattane Zarrinkalam
2020	The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech. Anastasia Giachanou, Paolo Rosso
2020	The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively? Kevin Roitero, Michael Soprano, Beatrice Portelli, Damiano Spina, Vincenzo Della Mea, Giuseppe Serra, Stefano Mizzaro, Gianluca Demartini
2020	The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase. Lu Zhou, Cogan Shimizu, Pascal Hitzler, Alicia M. Sheill, Seila Gonzalez Estrecha, Catherine Foley, Duncan Tarr, Dean Rehberger
2020	The Impact of Negative Relevance Judgments on NDCG. Lukas Gienapp, Maik Fröbe, Matthias Hagen, Martin Potthast
2020	The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion. Iti Bansal, Sudhanshu Tiwari, Carlos R. Rivero
2020	The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America. Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway, Meghan Ferriter, Chris Adams, Nathan Yarasavage, Deborah Thomas, Kate Zwaard, Daniel S. Weld
2020	The Utility of Context When Extracting Entities From Legal Documents. Jonathan Donnelly, Adam Roegiest
2020	TiCCo: Time-Centric Content Exploration. Philip Hausner, Dennis Aumiller, Michael Gertz
2020	Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing. Chenxi Qiu, Anna Cinzia Squicciarini, Zhuozhao Li, Ce Pang, Li Yan
2020	Time-aware Graph Relational Attention Network for Stock Recommendation. Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li
2020	Tolerant Markov Boundary Discovery for Feature Selection. Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
2020	Top-k Graph Summarization on Hierarchical DAGs. Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu
2020	Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu
2020	Towards Inferring Queries from Simple and Partial Provenance Examples. Amir Gilad, Yuval Moskovitch
2020	Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi
2020	Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
2020	Towards Rich Qery Blockchain Database. Yanchao Zhu, Zhao Zhang, Cheqing Jin, Aoying Zhou, Gang Qin, Yingjie Yang
2020	Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision. Julien Leblay, Melisachew Wudage Chekol, Xin Liu
2020	Training Sensitivity in Graph Isomorphism Network. Md. Khaledur Rahman
2020	Transformer Models for Recommending Related Questions in Web Search. Rajarshee Mitra, Manish Gupta, Sandipan Dandapat
2020	Trapping Malicious Crawlers in Social Networks. Shiju Li, Chul-Ho Lee, Do Young Eun
2020	Truth be Told: Fake News Detection Using User Reactions on Reddit. Vinay Setty, Erlend Rekve
2020	TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze
2020	TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. Wenhao Lu, Jian Jiao, Ruofei Zhang
2020	Two Test Collections for Retrieval Using Named Entity Markup. Jacob Bremerman, Dawn J. Lawrie, James Mayfield, Douglas W. Oard
2020	Two-Stage Audience Expansion for Financial Targeting in Marketing. Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
2020	U-rank: Utility-oriented Learning to Rank with Implicit Feedback. Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020	UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies. Xuan Wu, Wenxing Deng, Chang Lu, Hao Feng, Yizheng Zhao
2020	UPON: User Profile Transferring across Networks. Mengting Diao, Zhongbao Zhang, Sen Su, Shuai Gao, Huafeng Cao
2020	UWKGM: A Modular Platform for Knowledge Graph Management. Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Ryutaro Ichise
2020	Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph. Andriy Nikolov, Mathieu d'Aquin
2020	Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model. Lu Cheng, Kai Shu, Siqi Wu, Yasin N. Silva, Deborah L. Hall, Huan Liu
2020	User Taste-Aware Image Search. Jiyun Luo, Pak Ming Cheung, Wenyu Huo, Ying Huang, Rajat Raina
2020	User and Context Integrated Experience Mining in Online Health Communities. Jinhe Shi, Yi Chen
2020	VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren
2020	Vallum-Med: Protecting Medical Data in Cloud Environments. Ronny Peterson, Altigran S. da Silva, André Carvalho, Christof Fetzer, André Martin, Ignacio Blanquer
2020	Visualet: Visualizing Shapelets for Time Series Classification. GuoZhong Li, Byron Choi, Sourav S. Bhowmick, Grace Lai-Hung Wong, Kwok-Pan Chun, Shiwen Li
2020	WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks. Bay-Yuan Hsu, Chih-Ya Shen, Ming-Yi Chang
2020	Weaving Text into Tables. Dhruv Gupta, Klaus Berberich
2020	Web Page Segmentation Revisited: Evaluation Framework and Dataset. Johannes Kiesel, Florian Kneist, Lars Meyer, Kristof Komlossy, Benno Stein, Martin Potthast
2020	WebLens: Towards Interactive Large-scale Structured Data Profiling. Rituparna Khan, Michael N. Gubanov
2020	What Rankers Can be Statistically Distinguished in Multileaved Comparisons? Makoto P. Kato, Akiomi Nishida, Tomohiro Manabe, Sumio Fujita, Takehiro Yamamoto
2020	When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. Ali Vardasbi, Harrie Oosterhuis, Maarten de Rijke
2020	When Structure Meets Keywords: Cohesive Attributed Community Search. Yuanyuan Zhu, Jian He, Junhao Ye, Lu Qin, Xin Huang, Jeffrey Xu Yu
2020	Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks. Daeyoung Yoon, Simon S. Woo
2020	Whole-Chain Recommendations. Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020	Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking. Marwa Essam, Tamer Elsayed
2020	You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users. Xiaodu Yang, Xiuwen Yi, Shun Chen, Sijie Ruan, Junbo Zhang, Yu Zheng, Tianrui Li
2020	ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions. Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh, Saptarshi Ghosh
2020	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
2020	aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao
2020	tdGraphEmbed: Temporal Dynamic Graph-Level Embedding. Moran Beladev, Lior Rokach, Gilad Katz, Ido Guy, Kira Radinsky