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321 papers

Year	Title / Authors
2020	"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage. Tong Li, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, Pan Hui
2020	#Outage: Detecting Power and Communication Outages from Social Networks. Udit Paul, Alexander Ermakov, Michael Nekrasov, Vivek Adarsh, Elizabeth M. Belding
2020	A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu
2020	A Cue Adaptive Decoder for Controllable Neural Response Generation. Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
2020	A Data-Driven Metric of Incentive Compatibility. Yuan Deng, Sébastien Lahaie, Vahab S. Mirrokni, Song Zuo
2020	A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback. Shota Yasui, Gota Morishita, Komei Fujita, Masashi Shibata
2020	A First Look at Commercial 5G Performance on Smartphones. Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang
2020	A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu
2020	A Generic Edge-Empowered Graph Convolutional Network via Node-Edge Mutual Enhancement. Pengyang Wang, Jiaping Gui, Zhengzhang Chen, Junghwan Rhee, Haifeng Chen, Yanjie Fu
2020	A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based Captchas. Sheng Tian, Tao Xiong
2020	A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. Nir Rosenfeld, Aron Szanto, David C. Parkes
2020	A Multi-task Learning Framework for Road Attribute Updating via Joint Analysis of Map Data and GPS Traces. Yifang Yin, Jagannadan Varadarajan, Guanfeng Wang, Xueou Wang, Dhruva Sahrawat, Roger Zimmermann, See-Kiong Ng
2020	A Multimodal Variational Encoder-Decoder Framework for Micro-video Popularity Prediction. Jiayi Xie, Yaochen Zhu, Zhibin Zhang, Jian Peng, Jing Yi, Yaosi Hu, Hongyi Liu, Zhenzhong Chen
2020	ASER: A Large-scale Eventuality Knowledge Graph. Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung
2020	Abstractive Snippet Generation. Wei-Fan Chen, Shahbaz Syed, Benno Stein, Matthias Hagen, Martin Potthast
2020	Active Domain Transfer on Network Embedding. Lichen Jin, Yizhou Zhang, Guojie Song, Yilun Jin
2020	Ad Hoc Table Retrieval using Intrinsic and Extrinsic Similarities. Roee Shraga, Haggai Roitman, Guy Feigenblat, Mustafa Canim
2020	Adaptive Hierarchical Translation-based Sequential Recommendation. Yin Zhang, Yun He, Jianling Wang, James Caverlee
2020	Adaptive Low-level Storage of Very Large Knowledge Graphs. Jacopo Urbani, Ceriel J. H. Jacobs
2020	Adaptive Probabilistic Word Embedding. Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo
2020	Addressing the Target Customer Distortion Problem in Recommender Systems. Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee
2020	Adversarial Attack on Community Detection by Hiding Individuals. Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020	Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020	Adversarial Bandits Policy for Crawling Commercial Web Content. Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul
2020	Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha
2020	Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng
2020	Algorithmic Effects on the Diversity of Consumption on Spotify. Ashton Anderson, Lucas Maystre, Ian Anderson, Rishabh Mehrotra, Mounia Lalmas
2020	An Empirical Study of Android Security Bulletins in Different Vendors. Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka, Jens Grossklags
2020	An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources. Bertil Chapuis, Olamide Omolola, Mauro Cherubini, Mathias Humbert, Kévin Huguenin
2020	An End-to-end Topic-Enhanced Self-Attention Network for Social Emotion Classification. Chang Wang, Bang Wang
2020	An Intent-Based Automation Framework for Securing Dynamic Consumer IoT Infrastructures. Vasudevan Nagendra, Arani Bhattacharya, Vinod Yegneswaran, Amir Rahmati, Samir Ranjan Das
2020	Analyzing the Use of Audio Messages in WhatsApp Groups. Alexandre Maros, Jussara M. Almeida, Fabrício Benevenuto, Marisa Vasconcelos
2020	Anchored Model Transfer and Soft Instance Transfer for Cross-Task Cross-Domain Learning: A Study Through Aspect-Level Sentiment Classification. Yaowei Zheng, Richong Zhang, Suyuchen Wang, Samuel Mensah, Yongyi Mao
2020	Apophanies or Epiphanies? How Crawlers Impact Our Understanding of the Web. Syed Suleman Ahmad, Muhammad Daniyal Dar, Muhammad Fareed Zaffar, Narseo Vallina-Rodriguez, Rishab Nithyanand
2020	Architectures for Autonomy: Towards an Equitable Web of Data in the Age of AI. Nigel Shadbolt
2020	Are These Comments Triggering? Predicting Triggers of Toxicity in Online Discussions. Hind A. Al-Merekhi, Haewoon Kwak, Joni Salminen, Bernard J. Jansen
2020	Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
2020	Asymptotic Behavior of Sequence Models. Flavio Chierichetti, Ravi Kumar, Andrew Tomkins
2020	Attention Please: Your Attention Check Questions in Survey Studies Can Be Automatically Answered. Weiping Pei, Arthur Mayer, Kaylynn Tu, Chuan Yue
2020	Attentive Sequential Models of Latent Intent for Next Item Recommendation. Md. Mehrab Tanjim, Congzhe Su, Ethan Benjamin, Diane Hu, Liangjie Hong, Julian J. McAuley
2020	AutoMAP: Diagnose Your Microservice-based Web Applications Automatically. Meng Ma, Jingmin Xu, Yuan Wang, Pengfei Chen, Zonghua Zhang, Ping Wang
2020	AutoNav: Evaluation and Automatization of Web Navigation Policies. Benjamin Eriksson, Andrei Sabelfeld
2020	Automatic Boolean Query Formulation for Systematic Review Literature Search. Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark
2020	Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham
2020	Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs. Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis
2020	Beyond Triplets: Hyper-Relational Knowledge Graph Embedding for Link Prediction. Paolo Rosso, Dingqi Yang, Philippe Cudré-Mauroux
2020	Beyond the Front Page: Measuring Third Party Dynamics in the Field. Tobias Urban, Martin Degeling, Thorsten Holz, Norbert Pohlmann
2020	Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets. Roland C. Aydin, Lars Henning Klein, Arnaud Miribel, Robert West
2020	Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health Forums. Taisa Kushner, Amit Sharma
2020	CellRep: Usage Representativeness Modeling and Correction Based on Multiple City-Scale Cellular Networks. Zhihan Fang, Guang Wang, Shuai Wang, Chaoji Zuo, Fan Zhang, Desheng Zhang
2020	Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing. Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Neil Zhenqiang Gong
2020	Characterizing Search-Engine Traffic to Internet Research Agency Web Properties. Alexander Spangher, Gireeja Ranade, Besmira Nushi, Adam Fourney, Eric Horvitz
2020	Client Insourcing: Bringing Ops In-House for Seamless Re-engineering of Full-Stack JavaScript Applications. Kijin An, Eli Tilevich
2020	Clinical Report Auto-completion. Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun
2020	Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang
2020	Clustering in graphs and hypergraphs with categorical edge labels. Ilya Amburg, Nate Veldt, Austin R. Benson
2020	Clustering with a faulty oracle. Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis
2020	Collective Multi-type Entity Alignment Between Knowledge Graphs. Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
2020	Comparing the Effects of DNS, DoT, and DoH on Web Performance. Austin Hounsel, Kevin Borgolte, Paul Schmitt, Jordan Holland, Nick Feamster
2020	Complex Factoid Question Answering with a Free-Text Knowledge Graph. Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber
2020	Condition Aware and Revise Transformer for Question Answering. Xinyan Zhao, Feng Xiao, Haoming Zhong, Jun Yao, Huanhuan Chen
2020	Conquering Cross-source Failure for News Credibility: Learning Generalizable Representations beyond Content Embedding. Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Fernando Henrique Calderon Alvarado, Yi-Shin Chen
2020	Context-Aware Document Term Weighting for Ad-Hoc Search. Zhuyun Dai, Jamie Callan
2020	Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network. Liang Qu, Huaisheng Zhu, Qiqi Duan, Yuhui Shi
2020	Conversational Contextual Bandit: Algorithm and Application. Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui
2020	Correcting Knowledge Base Assertions. Jiaoyan Chen, Xi Chen, Ian Horrocks, Erik B. Myklebust, Ernesto Jiménez-Ruiz
2020	Correcting for Selection Bias in Learning-to-rank Systems. Zohreh Ovaisi, Ragib Ahsan, Yifan Zhang, Kathryn Vasilaky, Elena Zheleva
2020	Crowd Teaching with Imperfect Labels. Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He
2020	Crowdsourcing Detection of Sampling Biases in Image Datasets. Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin
2020	Dark Matter: Uncovering the DarkComet RAT Ecosystem. Brown Farinholt, Mohammad Rezaeirad, Damon McCoy, Kirill Levchenko
2020	De-Kodi: Understanding the Kodi Ecosystem. Marc Anthony Warrior, Yunming Xiao, Matteo Varvello, Aleksandar Kuzmanovic
2020	Deconstruct Densest Subgraphs. Lijun Chang, Miao Qiao
2020	Deconstructing Google's Web Light Service. Ammar Tahir, Muhammad Tahir Munir, Shaiq Munir Malik, Zafar Ayyub Qazi, Ihsan Ayyub Qazi
2020	Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie
2020	Deep Global and Local Generative Model for Recommendation. Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu
2020	Deep Rating Elicitation for New Users in Collaborative Filtering. Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu
2020	Democratizing Content Creation and Dissemination through AI Technology. Wei-Ying Ma
2020	Designing Fairly Fair Classifiers Via Economic Fairness Notions. Safwan Hossain, Andjela Mladenovic, Nisarg Shah
2020	Designing for Trust: A Behavioral Framework for Sharing Economy Platforms. Natã M. Barbosa, Emily Sun, Judd Antin, Paolo Parigi
2020	Detecting Undisclosed Paid Editing in Wikipedia. Nikesh Joshi, Francesca Spezzano, Mayson Green, Elijah Hill
2020	Differentially Private Stream Processing for the Semantic Web. Daniele Dell'Aglio, Abraham Bernstein
2020	Directional and Explainable Serendipity Recommendation. Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, Kenli Li
2020	Dirty Clicks: A Study of the Usability and Security Implications of Click-related Behaviors on the Web. Iskander Sánchez-Rola, Davide Balzarotti, Christopher Kruegel, Giovanni Vigna, Igor Santos
2020	Discovering Mathematical Objects of Interest - A Study of Mathematical Notations. André Greiner-Petter, Moritz Schubotz, Fabian Müller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp
2020	Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks. Yuxin Xiao, Adit Krishnan, Hari Sundaram
2020	Discriminative Topic Mining via Category-Name Guided Text Embedding. Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Yu Zhang, Jiawei Han
2020	Distant Supervision for Multi-Stage Fine-Tuning in Retrieval-Based Question Answering. Yuqing Xie, Wei Yang, Luchen Tan, Kun Xiong, Nicholas Jing Yuan, Baoxing Huai, Ming Li, Jimmy Lin
2020	Do podcasts and music compete with one another? Understanding users' audio streaming habits. Ang Li, Alice Wang, Zahra Nazari, Praveen Chandar, Benjamin A. Carterette
2020	Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education. Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Yubi Qi, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang
2020	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2020	Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. Dawei Zhou, Lecheng Zheng, Yada Zhu, Jianbo Li, Jingrui He
2020	Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media. Payam Karisani, Joyce C. Ho, Eugene Agichtein
2020	Don't Count Me Out: On the Relevance of IP Address in the Tracking Ecosystem. Vikas Mishra, Pierre Laperdrix, Antoine Vastel, Walter Rudametkin, Romain Rouvoy, Martin Lopatka
2020	Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions. Jonathan P. Chang, Justin Cheng, Cristian Danescu-Niculescu-Mizil
2020	Don't Parse, Generate! A Sequence to Sequence Architecture for Task-Oriented Semantic Parsing. Subendhu Rongali, Luca Soldaini, Emilio Monti, Wael Hamza
2020	Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang
2020	DyCRS: Dynamic Interpretable Postoperative Complication Risk Scoring. Wen Wang, Han Zhao, Honglei Zhuang, Nirav Shah, Rema Padman
2020	Dynamic Composition for Conversational Domain Exploration. Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias
2020	Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. Suining He, Kang G. Shin
2020	Dynamic Graph Convolutional Networks for Entity Linking. Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai
2020	Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation. Jibang Wu, Renqin Cai, Hongning Wang
2020	Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model. Tobias Hatt, Stefan Feuerriegel
2020	Edge formation in Social Networks to Nurture Content Creators. Chun Lo, Emilie de Longueau, Ankan Saha, Shaunak Chatterjee
2020	Efficient Algorithms towards Network Intervention. Hui-Ju Hung, Wang-Chien Lee, De-Nian Yang, Chih-Ya Shen, Zhen Lei, Sy-Miin Chow
2020	Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. Khoa D. Doan, Chandan K. Reddy
2020	Efficient Maximal Balanced Clique Enumeration in Signed Networks. Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Jianye Yang
2020	Efficient Neural Interaction Function Search for Collaborative Filtering. Quanming Yao, Xiangning Chen, James T. Kwok, Yong Li, Cho-Jui Hsieh
2020	Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma
2020	Efficient Online Multi-Task Learning via Adaptive Kernel Selection. Peng Yang, Ping Li
2020	Embedding the Scientific Record on the Web: Towards Automating Scientific Discoveries. Yolanda Gil
2020	End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang
2020	Enhanced-RCNN: An Efficient Method for Learning Sentence Similarity. Shuang Peng, Hengbin Cui, Niantao Xie, Sujian Li, Jiaxing Zhang, Xiaolong Li
2020	Envy, Regret, and Social Welfare Loss. Riccardo Colini-Baldeschi, Stefano Leonardi, Okke Schrijvers, Eric Sodomka
2020	Estimate the Implicit Likelihoods of GANs with Application to Anomaly Detection. Shaogang Ren, Dingcheng Li, Zhixin Zhou, Ping Li
2020	Evolution of a Web-Scale Near Duplicate Image Detection System. Andrey Gusev, Jiajing Xu
2020	Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants. Kai Wei, Yu-Ru Lin, Muheng Yan
2020	Expanding Taxonomies with Implicit Edge Semantics. Emaad A. Manzoor, Rui Li, Dhananjay Shrouty, Jure Leskovec
2020	Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang
2020	Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2020	Extracting Knowledge from Web Text with Monte Carlo Tree Search. Guiliang Liu, Xu Li, Jiakang Wang, Mingming Sun, Ping Li
2020	Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto
2020	Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide. Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber
2020	Factoring Fact-Checks: Structured Information Extraction from Fact-Checking Articles. Shan Jiang, Simon Baumgartner, Abe Ittycheriah, Cong Yu
2020	FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty
2020	Fast Computation of Explanations for Inconsistency in Large-Scale Knowledge Graphs. Trung-Kien Tran, Mohamed H. Gad-Elrab, Daria Stepanova, Evgeny Kharlamov, Jannik Strötgen
2020	Fast Generating A Large Number of Gumbel-Max Variables. Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan
2020	Few-Sample and Adversarial Representation Learning for Continual Stream Mining. Zhuoyi Wang, Yigong Wang, Yu Lin, Evan Delord, Latifur Khan
2020	Few-Shot Learning for New User Recommendation in Location-based Social Networks. Ruirui Li, Xian Wu, Xiusi Chen, Wei Wang
2020	FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation. Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek
2020	Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He
2020	Filter List Generation for Underserved Regions. Alexander Sjösten, Peter Snyder, Antonio Pastor, Panagiotis Papadopoulos, Benjamin Livshits
2020	Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He
2020	Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy Text. Vinayshekhar Bannihatti Kumar, Roger Iyengar, Namita Nisal, Yuanyuan Feng, Hana Habib, Peter Story, Sushain Cherivirala, Margaret Hagan, Lorrie Faith Cranor, Shomir Wilson, Florian Schaub, Norman M. Sadeh
2020	Finding large balanced subgraphs in signed networks. Bruno Ordozgoiti, Antonis Matakos, Aristides Gionis
2020	Flowless: Extracting Densest Subgraphs Without Flow Computations. Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
2020	Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks. Adam Breuer, Roee Eilat, Udi Weinsberg
2020	Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg
2020	Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
2020	Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. Yu Liu, Quanming Yao, Yong Li
2020	Generating Clarifying Questions for Information Retrieval. Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck
2020	Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin
2020	Generating Representative Headlines for News Stories. Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski
2020	Go See a Specialist? Predicting Cybercrime Sales on Online Anonymous Markets from Vendor and Product Characteristics. Rolf van Wegberg, Fieke Miedema, Ugur Akyazi, Arman Noroozian, Bram Klievink, Michel van Eeten
2020	Graph Attention Topic Modeling Network. Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo
2020	Graph Enhanced Representation Learning for News Recommendation. Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
2020	Graph Representation Learning via Graphical Mutual Information Maximization. Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang
2020	Graph-Query Suggestions for Knowledge Graph Exploration. Matteo Lissandrini, Davide Mottin, Themis Palpanas, Yannis Velegrakis
2020	GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu
2020	Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. Jiaxin Huang, Yiqing Xie, Yu Meng, Jiaming Shen, Yunyi Zhang, Jiawei Han
2020	HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2020	Herding a Deluge of Good Samaritans: How GitHub Projects Respond to Increased Attention. Danaja Maldeniya, Ceren Budak, Lionel P. Robert Jr., Daniel M. Romero
2020	Heterogeneous Graph Transformer. Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun
2020	Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020	Hierarchical Visual-aware Minimax Ranking Based on Co-purchase Data for Personalized Recommendation. Xiaoya Chong, Qing Li, Howard Leung, Qianhui Men, Xianjin Chao
2020	Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla
2020	High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang
2020	Higher-Order Label Homogeneity and Spreading in Graphs. Dhivya Eswaran, Srijan Kumar, Christos Faloutsos
2020	How Do We Create a Fantabulous Password? Simon S. Woo
2020	How Much and When Do We Need Higher-order Informationin Hypergraphs? A Case Study on Hyperedge Prediction. Se-eun Yoon, HyungSeok Song, Kijung Shin, Yung Yi
2020	I've Got Your Packages: Harvesting Customers' Delivery Order Information using Package Tracking Number Enumeration Attacks. Simon S. Woo, Hanbin Jang, Woojung Ji, Hyoungshick Kim
2020	IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020	Identifying Referential Intention with Heterogeneous Contexts. Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang
2020	Improved Touch-screen Inputting Using Sequence-level Prediction Generation. Xin Wang, Xu Li, Jinxing Yu, Mingming Sun, Ping Li
2020	Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation. Rohail Syed, Kevyn Collins-Thompson, Paul N. Bennett, Mengqiu Teng, Shane Williams, Wendy W. Tay, Shamsi T. Iqbal
2020	In Opinion Holders' Shoes: Modeling Cumulative Influence for View Change in Online Argumentation. Zhen Guo, Zhe Zhang, Munindar P. Singh
2020	Inferring Passengers' Interactive Choices on Public Transits via MA-AL: Multi-Agent Apprenticeship Learning. Mingzhou Yang, Yanhua Li, Xun Zhou, Hui Lu, Zhihong Tian, Jun Luo
2020	Influence Function based Data Poisoning Attacks to Top-N Recommender Systems. Minghong Fang, Neil Zhenqiang Gong, Jia Liu
2020	Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation. Xueliang Guo, Chongyang Shi, Chuanming Liu
2020	Interpretable Complex Question Answering. Soumen Chakrabarti
2020	JSCleaner: De-Cluttering Mobile Webpages Through JavaScript Cleanup. Moumena Chaqfeh, Yasir Zaki, Jacinta Hu, Lakshmi Subramanian
2020	Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2020	Keeping out the Masses: Understanding the Popularity and Implications of Internet Paywalls. Panagiotis Papadopoulos, Peter Snyder, Dimitrios Athanasakis, Benjamin Livshits
2020	Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. Yuxuan Shi, Gong Cheng, Evgeny Kharlamov
2020	Keywords Generation Improves E-Commerce Session-based Recommendation. Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin
2020	LOREM: Language-consistent Open Relation Extraction from Unstructured Text. Tom Harting, Sepideh Mesbah, Christoph Lofi
2020	LOVBench: Ontology Ranking Benchmark. Niklas Kolbe, Pierre-Yves Vandenbussche, Sylvain Kubler, Yves Le Traon
2020	LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew. Cyrus Rashtchian, Aneesh Sharma, David P. Woodruff
2020	Large-Scale Talent Flow Embedding for Company Competitive Analysis. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen
2020	Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani
2020	Latent Linear Critiquing for Conversational Recommender Systems. Kai Luo, Scott Sanner, Ga Wu, Hanze Li, Hojin Yang
2020	Leading Conversational Search by Suggesting Useful Questions. Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett
2020	Learning Contextualized Document Representations for Healthcare Answer Retrieval. Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers, Alexander Löser
2020	Learning Model-Agnostic Counterfactual Explanations for Tabular Data. Martin Pawelczyk, Klaus Broelemann, Gjergji Kasneci
2020	Learning Temporal Interaction Graph Embedding via Coupled Memory Networks. Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Chengwei Yao, Zhao Li, Can Wang
2020	Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla
2020	Learning the Structure of Auto-Encoding Recommenders. Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang
2020	Learning to Classify: A Flow-Based Relation Network for Encrypted Traffic Classification. Wenbo Zheng, Chao Gou, Lan Yan, Shaocong Mo
2020	Learning to Hash with Graph Neural Networks for Recommender Systems. Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu
2020	Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan
2020	Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang
2020	Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke
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2020	Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu
2020	LightRec: A Memory and Search-Efficient Recommender System. Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
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2020	MetaNER: Named Entity Recognition with Meta-Learning. Jing Li, Shuo Shang, Ling Shao
2020	MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. Mi Luo, Fei Chen, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Jiashi Feng, Zhenguo Li
2020	Metric Learning with Equidistant and Equidistributed Triplet-based Loss for Product Image Search. Furong Xu, Wei Zhang, Yuan Cheng, Wei Chu
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