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ORCID29th WWW 2020: Taipei, Taiwan
- Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen:
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. ACM / IW3C2 2020, ISBN 978-1-4503-7023-3
Session: Full Paper
- Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen:
Relation Adversarial Network for Low Resource Knowledge Graph Completion. 1-12 - Wenbo Zheng
, Chao Gou, Lan Yan, Shaocong Mo:
Learning to Classify: A Flow-Based Relation Network for Encrypted Traffic Classification. 13-22 - Xi Chen, Hang Li, Chenyi Zhou, Xue Liu, Di Wu, Gregory Dudek:
FiDo: Ubiquitous Fine-Grained WiFi-based Localization for Unlabelled Users via Domain Adaptation. 23-33 - Bertil Chapuis, Olamide Omolola, Mauro Cherubini, Mathias Humbert, Kévin Huguenin:
An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources. 34-45 - Wanyue Xu, Yibin Sheng, Zuobai Zhang, Haibin Kan, Zhongzhi Zhang:
Power-Law Graphs Have Minimal Scaling of Kemeny Constant for Random Walks. 46-56 - Furong Xu, Wei Zhang, Yuan Cheng, Wei Chu:
Metric Learning with Equidistant and Equidistributed Triplet-based Loss for Product Image Search. 57-65 - Tong Li, Mingyang Zhang, Hancheng Cao, Yong Li, Sasu Tarkoma, Pan Hui:
"What Apps Did You Use?": Understanding the Long-term Evolution of Mobile App Usage. 66-76 - Yusan Lin, Maryam Moosaei, Hao Yang:
OutfitNet: Fashion Outfit Recommendation with Attention-Based Multiple Instance Learning. 77-87 - Suining He, Kang G. Shin:
Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems. 88-98 - Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. 99-109 - Yao Zhou, Arun Reddy Nelakurthi, Ross Maciejewski, Wei Fan, Jingrui He:
Crowd Teaching with Imperfect Labels. 110-121 - Xueqi Li, Wenjun Jiang, Weiguang Chen, Jie Wu, Guojun Wang, Kenli Li:
Directional and Explainable Serendipity Recommendation. 122-132 - Suining He, Kang G. Shin:
Dynamic Flow Distribution Prediction for Urban Dockless E-Scooter Sharing Reconfiguration. 133-143 - Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo:
Graph Attention Topic Modeling Network. 144-154 - Xi Tong Lee, Arijit Khan, Sourav Sen Gupta, Yu Hann Ong, Xuan Liu:
Measurements, Analyses, and Insights on the Entire Ethereum Blockchain Network. 155-166 - David Zeber, Sarah Bird, Camila Oliveira, Walter Rudametkin, Ilana Segall, Fredrik Wollsén, Martin Lopatka:
The Representativeness of Automated Web Crawls as a Surrogate for Human Browsing. 167-178 - Kijin An, Eli Tilevich:
Client Insourcing: Bringing Ops In-House for Seamless Re-engineering of Full-Stack JavaScript Applications. 179-189 - Christian Meurisch, Bekir Bayrak, Max Mühlhäuser:
Privacy-preserving AI Services Through Data Decentralization. 190-200 - Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung:
ASER: A Large-scale Eventuality Knowledge Graph. 201-211 - Chris Xiaoxuan Lu, Yang Li, Yuanbo Xiangli, Zhengxiong Li:
Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices. 212-223 - Márcio Silva, Lucas Santos de Oliveira, Athanasios Andreou, Pedro Olmo Stancioli Vaz de Melo, Oana Goga, Fabrício Benevenuto:
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook. 224-234 - Yuxuan Shi, Gong Cheng, Evgeny Kharlamov:
Keyword Search over Knowledge Graphs via Static and Dynamic Hub Labelings. 235-245 - Meng Ma, Jingmin Xu, Yuan Wang, Pengfei Chen, Zonghua Zhang, Ping Wang:
AutoMAP: Diagnose Your Microservice-based Web Applications Automatically. 246-258 - Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. 259-270 - Syed Suleman Ahmad, Muhammad Daniyal Dar, Muhammad Fareed Zaffar, Narseo Vallina-Rodriguez, Rishab Nithyanand:
Apophanies or Epiphanies? How Crawlers Impact Our Understanding of the Web. 271-280 - Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin:
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension. 281-291 - Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. 292-302 - Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong:
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation. 303-313 - Adithya Kumar, Iyswarya Narayanan, Timothy Zhu, Anand Sivasubramaniam:
The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations. 314-326 - Daniele Rama, Yelena Mejova, Michele Tizzoni, Kyriaki Kalimeri, Ingmar Weber:
Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide. 327-338 - Zi Chen, Long Yuan, Xuemin Lin, Lu Qin, Jianye Yang:
Efficient Maximal Balanced Clique Enumeration in Signed Networks. 339-349 - Ping Wang, Tian Shi, Chandan K. Reddy:
Text-to-SQL Generation for Question Answering on Electronic Medical Records. 350-361 - Han Xiao, Bruno Ordozgoiti, Aristides Gionis:
Searching for polarization in signed graphs: a local spectral approach. 362-372 - David Carmel, Elad Haramaty, Arnon Lazerson, Liane Lewin-Eytan:
Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation. 373-383 - Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu:
Open Knowledge Enrichment for Long-tail Entities. 384-394 - Iskander Sánchez-Rola, Davide Balzarotti, Christopher Kruegel, Giovanni Vigna, Igor Santos:
Dirty Clicks: A Study of the Usability and Security Implications of Click-related Behaviors on the Web. 395-406 - Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul:
Adversarial Bandits Policy for Crawling Commercial Web Content. 407-417 - Hamed Zamani, Susan T. Dumais, Nick Craswell, Paul N. Bennett, Gord Lueck:
Generating Clarifying Questions for Information Retrieval. 418-428 - Jing Li, Shuo Shang, Ling Shao:
MetaNER: Named Entity Recognition with Meta-Learning. 429-440 - Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. 441-451 - Ekta Gujral, Ravdeep Pasricha, Evangelos E. Papalexakis:
Beyond Rank-1: Discovering Rich Community Structure in Multi-Aspect Graphs. 452-462 - Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi:
Off-policy Learning in Two-stage Recommender Systems. 463-473 - Kaitao Zhang, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu:
Selective Weak Supervision for Neural Information Retrieval. 474-485 - Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. 486-497 - Ye Yuan, Xin Luo, Mingsheng Shang, Di Wu:
A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. 498-507 - Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie:
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. 508-518 - Farhan Khawar, Leonard K. M. Poon, Nevin L. Zhang:
Learning the Structure of Auto-Encoding Recommenders. 519-529 - Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun:
StageNet: Stage-Aware Neural Networks for Health Risk Prediction. 530-540 - Siddharth Biswal, Cao Xiao, Lucas Glass, M. Brandon Westover, Jimeng Sun:
Clinical Report Auto-completion. 541-550 - Huafeng Liu, Liping Jing, Jingxuan Wen, Zhicheng Wu, Xiaoyi Sun, Jiaqi Wang, Lin Xiao, Jian Yu:
Deep Global and Local Generative Model for Recommendation. 551-561 - Austin Hounsel, Kevin Borgolte, Paul Schmitt, Jordan Holland, Nick Feamster:
Comparing the Effects of DNS, DoT, and DoH on Web Performance. 562-572 - Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang:
Flowless: Extracting Densest Subgraphs Without Flow Computations. 573-583 - Zhihan Fang, Guang Wang, Shuai Wang, Chaoji Zuo, Fan Zhang, Desheng Zhang:
CellRep: Usage Representativeness Modeling and Correction Based on Multiple City-Scale Cellular Networks. 584-595 - Renato Paes Leme, Balasubramanian Sivan, Yifeng Teng:
Why Do Competitive Markets Converge to First-Price Auctions? 596-605 - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Frozen Binomials on the Web: Word Ordering and Language Conventions in Online Text. 606-616 - Zhengjie Miao, Yuliang Li, Xiaolan Wang, Wang-Chiew Tan:
Snippext: Semi-supervised Opinion Mining with Augmented Data. 617-628 - Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. 629-639 - Zheng Fang, Yanan Cao, Ren Li, Zhenyu Zhang, Yanbing Liu, Shi Wang:
High Quality Candidate Generation and Sequential Graph Attention Network for Entity Linking. 640-650 - Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo:
Adaptive Probabilistic Word Embedding. 651-661 - Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Conversational Contextual Bandit: Algorithm and Application. 662-672 - Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar:
Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach. 673-683 - Khoa D. Doan, Chandan K. Reddy:
Efficient Implicit Unsupervised Text Hashing using Adversarial Autoencoder. 684-694 - Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. 695-705 - Ilya Amburg, Nate Veldt, Austin R. Benson:
Clustering in graphs and hypergraphs with categorical edge labels. 706-717 - Zhuoyi Wang, Yigong Wang, Yu Lin, Evan Delord, Latifur Khan:
Few-Sample and Adversarial Representation Learning for Continual Stream Mining. 718-728 - Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He:
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. 729-739 - Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. 740-751 - Xiangyu Zhao, Longbiao Wang, Ruifang He, Ting Yang, Jinxin Chang, Ruifang Wang:
Multiple Knowledge Syncretic Transformer for Natural Dialogue Generation. 752-762 - Moumena Chaqfeh, Yasir Zaki, Jacinta Hu, Lakshmi Subramanian:
JSCleaner: De-Cluttering Mobile Webpages Through JavaScript Cleanup. 763-773 - Yen-Hao Huang, Ting-Wei Liu, Ssu-Rui Lee, Fernando Henrique Calderon Alvarado, Yi-Shin Chen:
Conquering Cross-source Failure for News Credibility: Learning Generalizable Representations beyond Content Embedding. 774-784 - Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He:
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. 785-795 - Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Generating A Large Number of Gumbel-Max Variables. 796-807 - Vikas Mishra, Pierre Laperdrix, Antoine Vastel, Walter Rudametkin, Romain Rouvoy, Martin Lopatka:
Don't Count Me Out: On the Relevance of IP Address in the Tracking Ecosystem. 808-815 - Rolf van Wegberg, Fieke Miedema, Ugur Akyazi, Arman Noroozian, Bram Klievink, Michel van Eeten:
Go See a Specialist? Predicting Cybercrime Sales on Online Anonymous Markets from Vendor and Product Characteristics. 816-826 - Xiang Li, Chao Wang, Jiwei Tan, Xiaoyi Zeng, Dan Ou, Bo Zheng:
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction. 827-836 - Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang:
Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. 837-847 - Aviad Elyashar, Sagi Uziel, Abigail Paradise, Rami Puzis:
The Chameleon Attack: Manipulating Content Display in Online Social Media. 848-859 - Sheng Tian, Tao Xiong:
A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based Captchas. 860-871 - Idan Szpektor, Deborah Cohen, Gal Elidan, Michael Fink, Avinatan Hassidim, Orgad Keller, Sayali Kulkarni, Eran Ofek, Sagie Pudinsky, Asaf Revach, Shimi Salant, Yossi Matias:
Dynamic Composition for Conversational Domain Exploration. 872-883 - Ammar Tahir, Muhammad Tahir Munir, Shaiq Munir Malik, Zafar Ayyub Qazi, Ihsan Ayyub Qazi:
Deconstructing Google's Web Light Service. 884-893 - Arvind Narayanan, Eman Ramadan, Jason Carpenter, Qingxu Liu, Yu Liu, Feng Qian, Zhi-Li Zhang:
A First Look at Commercial 5G Performance on Smartphones. 894-905 - Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. 906-916 - Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. 917-927 - Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. 928-938 - Pubali Datta, Prabuddha Kumar, Tristan Morris, Michael Grace, Amir Rahmati, Adam Bates:
Valve: Securing Function Workflows on Serverless Computing Platforms. 939-950 - Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang:
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. 951-961 - Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang:
Identifying Referential Intention with Heterogeneous Contexts. 962-972 - Jiangwei Zhang, Y. C. Tay:
PG2S+: Stack Distance Construction Using Popularity, Gap and Machine Learning. 973-983 - Amr Azzam, Javier D. Fernández, Maribel Acosta, Martin Beno, Axel Polleres:
SMART-KG: Hybrid Shipping for SPARQL Querying on the Web. 984-994 - Xian Wu, Suleyman Cetintas, Deguang Kong, Miao Lu, Jian Yang, Nitesh V. Chawla:
Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit. 995-1005 - Faysal Hossain Shezan, Hang Hu, Jiamin Wang, Gang Wang, Yuan Tian:
Read Between the Lines: An Empirical Measurement of Sensitive Applications of Voice Personal Assistant Systems. 1006-1017 - Nir Rosenfeld, Aron Szanto, David C. Parkes:
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone. 1018-1028 - Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun:
Patient-Trial Matching with Deep Embedding and Entailment Prediction. 1029-1037 - Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang:
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. 1038-1048 - Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. 1049-1059 - Rachid Guerraoui, Anne-Marie Kermarrec, Olivier Ruas, François Taïani:
Smaller, Faster & Lighter KNN Graph Constructions. 1060-1070 - Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark:
Automatic Boolean Query Formulation for Systematic Review Literature Search. 1071-1081 - Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu:
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. 1082-1092 - Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. 1093-1103 - Yu Liu, Quanming Yao, Yong Li:
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases. 1104-1114 - Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra:
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. 1115-1126 - Xueliang Guo, Chongyang Shi, Chuanming Liu:
Intention Modeling from Ordered and Unordered Facets for Sequential Recommendation. 1127-1137 - Shen Gao, Xiuying Chen, Chang Liu, Li Liu, Dongyan Zhao, Rui Yan:
Learning to Respond with Stickers: A Framework of Unifying Multi-Modality in Multi-Turn Dialog. 1138-1148 - Junshuang Wu, Richong Zhang, Yongyi Mao, Hongyu Guo, Masoumeh Soflaei, Jinpeng Huai:
Dynamic Graph Convolutional Networks for Entity Linking. 1149-1159 - Corbin Rosset, Chenyan Xiong, Xia Song, Daniel Campos, Nick Craswell, Saurabh Tiwary, Paul N. Bennett:
Leading Conversational Search by Suggesting Useful Questions. 1160-1170 - Marc Anthony Warrior, Yunming Xiao, Matteo Varvello, Aleksandar Kuzmanovic:
De-Kodi: Understanding the Kodi Ecosystem. 1171-1181 - Weiping Pei, Arthur Mayer, Kaylynn Tu, Chuan Yue:
Attention Please: Your Attention Check Questions in Survey Studies Can Be Automatically Answered. 1182-1193 - Gourab K. Patro, Arpita Biswas, Niloy Ganguly, Krishna P. Gummadi, Abhijnan Chakraborty:
FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platforms. 1194-1204 - Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber:
Complex Factoid Question Answering with a Free-Text Knowledge Graph. 1205-1216 - Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. 1217-1227 - Carlos Toxtli, Angela Richmond-Fuller, Saiph Savage:
Reputation Agent: Prompting Fair Reviews in Gig Markets. 1228-1240 - Saiph Savage, Chun-Wei Chiang, Susumu Saito, Carlos Toxtli, Jeffrey P. Bigham:
Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. 1241-1252 - Nikhil Goyal, Harsh Vardhan Jain, Sayan Ranu:
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation. 1253-1263 - Fuqiang Yu, Lizhen Cui, Wei Guo, Xudong Lu, Qingzhong Li, Hua Lu:
A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data. 1264-1274