MAIN CONFERENCE PROGRAM
For best expiriance on mobile use landscape view.
Papers
| CEST | Chair | Title | Authors |
| 10:00-11:40 | economics | REST: Relational Event-driven Stock Trend Forecasting | Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin and Tie-Yan Liu |
| Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading | Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa and Rajiv Shah | ||
| Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges | Friedhelm Victor and Andrea Marie Weintraud | ||
| Towards Understanding and Demystifying Bitcoin Mixing Services | Lei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang, Xiapu Luo, Zhi Wang, Fan Zhang and Kui Ren | ||
| Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX | Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan Routledge and Nicolas Christin | ||
| 10:00-11:40 | security | On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution | Penghui Li, Wei Meng, Kangjie Lu and Changhua Luo |
| TLS 1.3 in Practice: How TLS 1.3 Contributes to Internet | Hyunwoo Lee, Doowon Kim and Yonghwi Kwon | ||
| Towards Realistic and Reproducible Web Crawl Measurements | Jordan Jueckstock, Shaown Sarker, Peter Snyder, Aidan Beggs, Panagiotis Papadopoulos, Matteo Varvello, Ben Livshits and Alexandros Kapravelos | ||
| #Twiti: Social Listening for Threat Intelligence | Hyejin Shin, Woochul Shim, Saebom Kim, Sol Lee, Yong Goo Kang and Yong Ho Hwang | ||
| An Investigation of Identity-Account Inconsistency in Single Sign-On | Guannan Liu, Xing Gao and Haining Wang | ||
| 10:00-11:40 | search | An Alternative Cross Entropy Loss for Learning-to-Rank | Sebastian Bruch |
| Diversification-Aware Learning to Rank using Distributed Representation | Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang and Michael Bendersky | ||
| Maximizing Marginal Fairness for Dynamic Learning to Rank | Tao Yang and Qingyao Ai | ||
| PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer | Yiling Jia, Huazheng Wang, Stephen Guo and Hongning Wang | ||
| Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank | Harrie Oosterhuis and Maarten de Rijke | ||
| 10:00-11:40 | society | Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics | Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong and Joyce C. Ho |
| Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations | Yujie Feng, Jiangtao Wang, Yasha Wang and Sumi Helal | ||
| Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach | Ashish Sharma, Inna Lin, Adam Miner, David Atkins and Tim Althoff | ||
| Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice | Sebastian Cross, Ahmed Mourad, Guido Zuccon and Bevan Koopman | ||
| UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data | Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun and Cao Xiao | ||
| 11:50-13:30 | search | MIRA:Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks | Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan and Haidong Wang |
| Long Short-Term Session Search with Joint Document Reranking and Next Query Prediction | Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu and Maarten de Rijke | ||
| On the Value of Wikipedia as a Gateway to the Web | Tiziano Piccardi, Miriam Redi, Giovanni Colavizza and Robert West | ||
| Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering | Christian Hansen, Casper Hansen, Jakob Grue Simonsen and Christina Lioma | ||
| Constructing a Comparison-based Click Model for Web Search | Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang and Shaoping Ma | ||
| 11:50-13:30 | systems | WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service | Jia Zhang, Enhuan Dong, Zili Meng, Yuan Yang, Mingwei Xu, Sijie Yang, Miao Zhang and Yang Yue |
| Surrounded by the Clouds | Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju and Jörg Ott | ||
| BrowseLite: A Private Data Saving Solution for the Web | Conor Kelton, Matteo Varvello, Andrius Aucinas and Ben Livshits | ||
| Superways: A Datacenter Topology for Incast-Heavy Workloads | Hamed Rezaei and Balajee Vamanan | ||
| BBR Bufferbloat in DASH Video | Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian and Anshul Gandhi | ||
| 11:50-13:30 | social network | Graph Structure Estimation Neural Networks | Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi and Xing Xie |
| Efficient Probabilistic Truss Indexing on Uncertain Graphs | Zitan Sun, Xin Huang, Jianliang Xu and Francesco Bonchi | ||
| Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis | Katherine Van Koevering, Austin Benson and Jon Kleinberg | ||
| Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks | A. Erdem Sarıyüce | ||
| Heterogeneous Graph Neural Network via Attribute Completion | Di Jin, Cuiying Huo, Chundong Liang and Liang Yang | ||
| 11:50-13:30 | user modeling | DGCN: Diversified Recommendation with Graph Convolutional Networks | Yu Zheng, Chen Gao, Liang Chen, Yong Li and Depeng Jin |
| Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation | Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung and Xiangliang Zhang | ||
| Reinforcement Recommendation with User \\Multi-aspect Preference | Xu Chen, Yali Du, Long Xia and Jun Wang | ||
| Variation Control and Evaluation for Generative Slate Recommendations | Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei and Yongfeng Zhang | ||
| Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation | Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang and Yue Ding | ||
| 13:40-15:20 | security | The Great Awakening: An Exploratory Study of QAnon on Voat | Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou and Emiliano De Cristofaro |
| Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China | Raymond Rambert, Zachary Weinberg, Diogo Barradas and Nicolas Christin | ||
| Understanding the Impact of Encrypted DNS on Internet Censorship | Lin Jin, Shuai Hao, Haining Wang and Chase Cotton | ||
| Improving Cyberbully Detection with User Interaction | Suyu Ge, Lu Cheng and Huan Liu | ||
| IFSpard: An Information Fusion-based Framework for Spam Review Detection | Yao Zhu, Hongzhi Liu, Yingpeng Du and Zhonghai Wu | ||
| 13:40-15:20 | web mining | Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond | Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth Loparo and Liang Zhao |
| Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking | Prashanth Vijayaraghavan and Deb Roy | ||
| Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources | Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu and Kurt Keutzer | ||
| Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective | Hao Fei, Yafeng Ren, Shengqiong Wu, Bobo Li and Donghong Ji | ||
| Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary | Mohammadzaman Zamani and H. Andrew Schwartz | ||
| 13:40-15:20 | user modeling | High-dimensional Sparse Embeddings for Collaborative Filtering | Jan Van Balen and Bart Goethals |
| Sinkhorn Collaborative Filtering | Xiucheng Li, Jin Yao Chin, Yile Chen and Gao Cong | ||
| HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering | Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Perez and Maksims Volkovs | ||
| Collaborative Filtering with Preferences Inferred from Brain Signals | Keith Davis, Michiel Spapé and Tuukka Ruotsalo | ||
| Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective | Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao and Hui Xiong | ||
| 13:40-15:20 | web mining | User-oriented Group Fairness In Recommender Systems | Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge and Yongfeng Zhang |
| Mitigating Gender Bias in Captioning Systems | Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou and Xia Hu | ||
| Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding | Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi and Abhijnan Chakraborty | ||
| Understanding User Sensemaking in Machine Learning Fairness Assessment Systems | Jing Nathan Yan, Ziwei Gu and Jeff Rzeszotarski | ||
| Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy | Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean Tullsen and Hadi Esmaeilzadeh | ||
| 15:30-17:10 | social networks | Twin Peaks, a Model for Recurring Cascades | Matteo Almanza, Silvio Lattanzi, Alessandro Panconesi and Giuseppe Re |
| TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks | Yanbang Wang, Pan Li, Chongyang Bai and Jure Leskovec | ||
| Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes | Maximilian Nickel and Matthew Le | ||
| DYMOND: DYnamic MOtif-NoDes Network Generative Model | Giselle Zeno, Timothy La Fond and Jennifer Neville | ||
| Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series | Alasdair Tran, Alexander Mathews, Cheng Soon Ong and Lexing Xie | ||
| 15:30-17:10 | web mining | Towards a Better Understanding of Query Reformulation Behavior in Web Search | Jia Chen, Jiaxin Mao, Yiqun Liu, Fan Zhang, Min Zhang and Shaoping Ma |
| Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation | Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang and Xiuqiang He | ||
| Controllable Gradient Item Retrieval | Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang and Jingrui He | ||
| Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval | Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu and Liang Wang | ||
| Cross-Positional Attention for Debiasing Clicks | Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu and Dan Chary Chen | ||
| 15:30-17:10 | semantics | Inductive Entity Representations from Text via Link Prediction | Daniel Daza, Michael Cochez and Paul Groth |
| Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction | Sudhanshu Tiwari, Iti Bansal and Carlos R. Rivero | ||
| Boosting the Speed of Entity Alignment 10×: Dual Attention Matching Network with Normalized Hard Sample Mining | Xin Mao, Wenting Wang, Yuanbin Wu and Man Lan | ||
| Progressive, Holistic Geospatial Interlinking | George Papadakis, Georgios Mandilaras, Nikos Mamoulis and Manolis Koubarakis | ||
| RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs | Paolo Rosso, Dingqi Yang, Natalia Ostapuk and Philippe Cudré-Mauroux | ||
| 15:30-17:10 | user modeling | A Recommender System for Crowdsourcing Food Rescue Platforms | Zheyuan Ryan Shi, Leah Lizarondo and Fei Fang |
| A Workflow Analysis of Context-driven Conversational Recommendation | Shengnan Lyu, Arpit Rana, Scott Sanner and Mohamed Reda Bouadjenek | ||
| Learning Intents behind Interactions with Knowledge Graph for Recommendation | Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He and Tat-Seng Chua | ||
| Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests | Xing Zhao, Ziwei Zhu and James Caverlee | ||
| DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce | Jialiang Han, Yun Ma, Qiaozhu Mei and Xuanzhe Liu | ||
Opening
| CEST | Chairs | |
| 18:00-18:30 | OPENING OF 30TH THE WEB CONFERENCE | Marko Grobelnik, Jure Leskovec Leila Zia, Marc Najork, Jie Tang |
Keynote
| CEST | Speaker | Title |
| 18:30-19:30 | Verica Trstenjak, University of Ljubljana, SFU Vienna | Human rights in a digital era |
Web4All
| CEST | Event | |
| 9:00-18:00 | Day 1 of the colocated conference Web4All program |
Keynote
| CEST | Speaker | Title | |
| 9:00:10:00 | Fausto Giunchiglia University of Trento |
Diversity, Bias, online social relations and related issues |
Papers
| CEST | Chair | Title | Authors |
| 10:00-11:40 | mobile | Meta-HAR: Federated Representation Learning for Human Activity Recognition | Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo and Jianming Yang |
| PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization | Bingyan Liu, Yao Guo and Xiangqun Chen | ||
| Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data | Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu and Xuanzhe Liu | ||
| Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction | Jingwen Zhang, Yuezhou Wu and Rong Pan | ||
| Hierarchical Personalized Federated Learning for User Modeling | Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi and Bowen Zhou | ||
| 10:00-11:40 | security | Data Poisoning Attacks and Defenses to Crowdsourcing Systems | Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian and Jia Liu |
| Deepfake Videos in the Wild: Analysis and Detection | Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang and Bimal Viswanath | ||
| RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks | Tianhao Wang and Florian Kerschbaum | ||
| CoResident Evil: Covert Communication In The Cloud With Lambdas | Anil Yelam, Ariana Mirian, Keerthana Ganesan, Shibani Subbareddy and Stefan Savage | ||
| DAPter: Preventing User Data Abuse in Deep Learning Inference Services | Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li and Fengyuan Xu | ||
| 10:00-11:40 | search | Cross-lingual Language Model Pretraining for Retrieval | Puxuan Yu, Hongliang Fei and Ping Li |
| Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning | Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang and Lintao Zhang | ||
| A Linguistic Study on Relevance Modeling in Information Retrieval | Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan and Xueqi Cheng | ||
| Estimation of Fair Ranking Metrics with Incomplete Judgments | Omer Kirnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette and Emine Yilmaz | ||
| Pivot-based Candidate Retrieval for Cross-lingual Entity Linking | Qian Liu, Xiubo Geng, Jie Lu and Daxin Jiang | ||
| 10:00-11:40 | society | The Structure of Toxic Conversations on Twitter | Martin Saveski, Brandon Roy and Deb Roy |
| Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial | Andreas Spitz, Ahmad Abu-Akel and Robert West | ||
| “Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups | Punyajoy Saha, Binny Mathew, Pawan Goyal, Kiran Garimella and Animesh Mukherjee | ||
| “Go eat a bat, Chang!”: On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19 | Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang and Savvas Zannettou | ||
| Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations | Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan and David Jurgens | ||
| 11:50-13:30 | systems | DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior | Patara Trirat and Jae-Gil Lee |
| Dissecting Performance of Production QUIC | Alexander Yu and Theophilus Benson | ||
| XY-Sketch: on Sketching Data Streams at Web Scale | Yongqiang Liu and Xike Xie | ||
| NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms | Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin and Dongmei Zhang | ||
| WebSocket Adoption and the Landscape of the Real-Time Web | Paul Murley, Zane Ma, Joshua Mason, Michael Bailey and Amin Kharraz | ||
| 11:50-13:30 | social networks | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels | Qingqing Long, Yilun Jin, Yi Wu and Guojie Song |
| Interpreting and Unifying Graph Neural Networks with An Optimization Framework | Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji and Peng Cui | ||
| Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework | Cheng Yang, Jiawei Liu and Chuan Shi | ||
| CurGraph: Curriculum Learning for Graph Classification | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai and Bryan Hooi | ||
| Lorentzian Graph Convolutional Neural Networks | Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu and Guojie Song | ||
| 11:50-13:30 | user modeling | Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation | Yongji Wu, Defu Lian, Neil Gong, Lu Yin, Mingyang Yin, Jingren Zhou and Hongxia Yang |
| Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation | Junsu Cho, Dongmin Hyun, Seongku Kang and Hwanjo Yu | ||
| Drug Package Recommendation via Interaction-aware Graph Induction | Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu and Enhong Chen | ||
| Interest-aware Message-Passing GCN for Recommendation | Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao and Liqiang Nie | ||
| Task-adaptive Neural Process for User Cold-Start Recommendation | Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao and Bin Wang | ||
| 11:50-13:30 | web mining | Consistent Sampling Through Extremal Process | Ping Li, Xiaoyun Li, Gennady Samorodnitsky and Weijie Zhao |
| Beyond Outlier Detection: Interpreting Outliers by Attention-Guided Triplet Deviation Network | Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu and Fei Li | ||
| Fair and Representative Subset Selection from Data Streams | Yanhao Wang, Francesco Fabbri and Michael Mathioudakis | ||
| CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining | Zhuoyi Wang, Chen Zhao, Yuqiao Chen, Hemeng Tao, Yu Lin, Xujiang Zhao, Yigong Wang and Latifur Khan | ||
| Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective | Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang and Mehul Parsana | ||
| 13:40-15:20 | semantics | Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs | Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian and Chandan K. Reddy |
| ColChain: Collaborative Linked Data Networks | Christian Aebeloe, Gabriela Montoya and Katja Hose | ||
| MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths | Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao and Fenglong Ma | ||
| Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration | Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov and Yulin Shen | ||
| WiseKG: Balanced Access to Web Knowledge Graphs | Amr Azzam, Christian Aebeloe, Gabriela Montoya, Ilkcan Keles, Axel Polleres and Katja Hose | ||
| 13:40-15:20 | mobile | A Longitudinal Study of Removed Apps in iOS App Store | Fuqi Lin, Haoyu Wang, Liu Wang and Xuanzhe Liu |
| Demystifying Illegal Mobile Gambling Apps | Yuhao Gao, Haoyu Wang, Li Li, Xiapu Luo, Xuanzhe Liu and Guoai Xu | ||
| ReACt: A Resource-centric Access Control System for Web-app Interactions on Android | Xin Zhang and Yifan Zhang | ||
| NeuroPose: 3D Hand Pose Tracking using EMG Wearables | Yilin Liu, Shijia Zhang and Mahanth Gowda | ||
| Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network | Matthew Johnson, Jenny Liang, Michelle Lin, Sudheesh Singanamalla and Kurtis Heimerl | ||
| 13:40-15:20 | web mining | Learning Neural Point Processes with Latent Graphs | Qiang Zhang, Aldo Lipani and Emine Yilmaz |
| OCT-GAN: A Neural ODE-based Conditional Tabular GANs | Jayoung Kim, Jingsung Jeon, Jaehoon Lee, Jihyeon Hyeong and Noseong Park | ||
| Neural Collaborative Reasoning | Hanxiong Chen, Shaoyun Shi, Yunqi Li and Yongfeng Zhang | ||
| Deep Co-Attention Network for Multi-View Subspace Learning | Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao and Jingrui He | ||
| ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases | Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Ji Zhang and Jun Gao | ||
| 13:40-15:20 | user modeling | A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles | Jiahuan Pei, Pengjie Ren and Maarten de Rijke |
| Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling | Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi and Reza Feyzi Behnagh | ||
| Personalized Treatment Selection using Causal Heterogeneity | Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar and Shaunak Chatterjee | ||
| Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching | Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu and Hui Xiong | ||
| Slot Self-Attentive Dialogue State Tracking | Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li and Emine Yilmaz | ||
| 15:30-17:10 | social netowrks | Dynamic Embeddings for Interaction Prediction | Zekarias Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh and Alberto Montresor |
| Knowledge Embedding Based Graph Convolutional Network | Donghan Yu, Yiming Yang, Ruohong Zhang and Yuexin Wu | ||
| Motif-Preserving Dynamic Attributed Network Embedding | Zhijun Liu, Chao Huang, Yanwei Yu and Junyu Dong | ||
| Highly Liquid Temporal Interaction Graph Embeddings | Huidi Chen, Yun Xiong, Yangyong Zhu and Philip S. Yu | ||
| Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks | Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei and Yu Lin | ||
| 15:30-17:10 | web mining | Semi-Open Information Extraction | Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang and Bin Wang |
| RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network | Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang, Saeedeh Shekarpour, Johannes Hoffart and Manohar Kaul | ||
| GNEM: A Generic One-to-Set Neural Entity Matching Framework | Runjin Chen, Yanyan Shen and Dongxiang Zhang | ||
| Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks | Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song and Jing Xu | ||
| A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction | Yongliang Shen, Xinyin Ma, Yechun Tang and Weiming Lu | ||
| 15:30-17:10 | semantics | MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings | Kai Wang, Yu Liu, Qian Ma and Quan Z. Sheng |
| Efficient Knowledge Graph Embedding without Negative Sampling | Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen and Yongfeng Zhang | ||
| Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion | Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang and Yi Chang | ||
| An Adversarial Transfer Network for Knowledge Representation Learning | Huijuan Wang, Shuangyin Li and Rong Pan | ||
| Mixed-Curvature Multi-relational Graph Neural Network for Knowledge Graph Completion | Shen Wang, Xiaokai Wei, Cicero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew Arnold, Bing Xiang, Isabel F. Cruz and Philip S. Yu | ||
| 15:30-17:10 | user modeling | Elo-MMR: A Rating System for Massive Multiplayer Competitions | Aram Ebtekar and Paul Liu |
| DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems | Ruoxi Wang, Rakesh Shivanna, Derek Cheng, Sagar Jain, Dong Lin, Lichan Hong and Ed Chi | ||
| A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Completion | Yaqing Wang, Quanming Yao and James Kwok | ||
| An Adversarial Imitation Click Model for Information Retrieval | Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang and Yong Yu | ||
| CrowdGP: a Gaussian Process Model for Inferencing Relevance from Crowd Annotations | Dan Li, Zhaochun Ren and Evangelos Kanoulas | ||
PhD Symposium
| CEST | Speaker | Title | |
| 14:00:18:00 | Chairs: Dunja Mladenic, Rudi Studer and Gregoris Mentzas | ||
| Teodora Petkova | Marketing Communications and the Semantic Web | ||
| Mathias Zinnen | How To See Smells | ||
| Yingting Li | Counterfactual-Augmented Data for Multi-Hop Knowledge Base Question Answering | ||
| Jakob Jelencic | Modeling text data over time – example on job postings | ||
| Jože Martin Rožanec | Explainable Demand Forecasting: a data mining goldmine |
Keynote
| CEST | Speaker | Title | |
| 18:00:19:00 | Anju Kambadur, Bloomberg LP | Knowledge Graphs & Natural Language in Finance | |
| 19:00:20:00 | Lada Adamic, Facebook | The Geography of Social Ties |
W4A
| CEST | Event | |
| 9:00-18:00 | Day 2 of the colocated conference Web4All program |
Web of Health
| CEST | Speaker | Title | |
| 1:30-2:15 | Stefano Tessaro | Exposure Notification: Barriers, Challenges, and a few Lessons Learned | |
| 2:15-3:00 | Jina Suh | Population-Scale Study of Human Needs and Disparities During the COVID-19 Pandemic | |
| 3:00-4:00 | Keynote: Gabriel Leung | Making Sense of Big (and Small) Data in Outbreak Control: Lessons from COVID-19 |
Papers
| CEST | Chair | Title | Authors |
| 10:00-11:40 | mobile | Fine-grained Urban Flow Prediction | Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David Rosenblum and Roger Zimmermann |
| AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph | Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang and Yu Zheng | ||
| Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning | Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou and Hui Xiong | ||
| STUaNet: Understanding uncertainty in spatiotemporal collective human mobility | Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao and Yuantao Li | ||
| DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities | Sayda Elmi and Kian-Lee Tan | ||
| 10:00-11:40 | crowdsourcing | SEPAR: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees | Mohammadjavad Amiri, Joris Duguépéroux, Tristan Allard, Divyakant Agrawal and Amr El Abbadi |
| Online Label Aggregation: A Variational Bayesian Approach | Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke and Lydia Y. Chen | ||
| Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening Scholarly Paper Review Processes | Ines Arous, Jie Yang, Mourad Khayati and Philippe Cudre-Mauroux | ||
| Multi-Session Diversity to Improve User Satisfaction in Web Applications | Mohammadreza Esfandiari, Ria Mae Borromeo, Sepideh Nikookar, Paras Sakharkar, Sihem Amer-Yahia and Senjuti Basu Roy | ||
| What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis | Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang and Alessandro Bozzon | ||
| 10:00-11:40 | search | FINN: Feedback Interactive Neural Network for Intent Recommendation | Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang and Zibin Zheng |
| Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates | Haozhe Qin, Jiangang Zhu and Beijun Shen | ||
| Controlling the Risk of Conversational Search via Reinforcement Learning | Zhenduo Wang and Qingyao Ai | ||
| Joint Spatio-Textual Reasoning for Answering Tourism Questions | Danish Contractor, Shashank Goel, Mausam and Parag Singla | ||
| Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection | Chen Zhang, Hao Wang, Feijun Jiang and Hongzhi Yin | ||
| 10:00-11:40 | society | Understanding the complexity of detecting political ads | Vera Sosnovik and Oana Goga |
| War of Words II: Enriched Models of Law-Making Processes | Victor Kristof, Aswin Suresh, Matthias Grossglauser and Patrick Thiran | ||
| Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections | Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei and Donald P. Green | ||
| Fast Evaluation for Relevant Quantities of Opinion Dynamics | Wanyue Xu, Qi Bao and Zhongzhi Zhang | ||
| Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks | Bibek Paudel and Abraham Bernstein | ||
| 11:50-13:30 | social networks | Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks | Mingqi Yang, Yanming Shen, Heng Qi and Baocai Yin |
| Graph Contrastive Learning with Adaptive Augmentation | Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu and Liang Wang | ||
| SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism | Qingyun Sun, Hao Peng, Jianxin Li, Yuanxing Ning, Jia Wu, Philip S. Yu and Lifang He | ||
| Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning | Meng Liu, Nate Veldt, Haoyu Song, Pan Li and David Gleich | ||
| TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints | Liming Zhang, Liang Zhao, Dieter Pfoser, Shan Qin and Chen Ling | ||
| 11:50-13:30 | security | Cookie Swap Party: Abusing First-Party Cookies for Web Tracking | Quan Chen, Panagiotis Ilia, Michalis Polychronakis and Alexandros Kapravelos |
| User tracking in the post-cookie era: How websites bypass GDPR consent to track users | Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis and Evangelos Markatos | ||
| It’s Not Just the Site, it’s the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts | Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan Ko and Jin Song Dong | ||
| Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13 | Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang and Meishan Zhang | ||
| Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset | Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan and Jonathan Mayer | ||
| 11:50-13:30 | user modeling | STAN: Spatio-Temporal Attention Network for next Point-of-Interest Recommendation | Yingtao Luo, Qiang Liu and Zhaocheng Liu |
| Session-aware Linear Item-Item Models for Session-based Recommendation | Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim and Jongwuk Lee | ||
| Learning Fair Representations for Recommendation: A Graph-based Perspective | Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang and Meng Wang | ||
| Leveraging Review Properties for Effective Recommendation | Xi Wang, Iadh Ounis and Craig Macdonald | ||
| A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation | Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong and Ed H. Chi | ||
| 11:50-13:30 | mobile | DeepVista: 16K Panoramic Cinema on Your Mobile Device | Wenxiao Zhang, Feng Qian, Bo Han and Pan Hui |
| CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing | Liang Yuan, Qiang He, Siyu Tan, Bo Li, Jiangshan Yu, Feifei Chen, Hai Jin and Yun Yang | ||
| Temporal Analysis of the Entire Ethereum Blockchain Network | Lin Zhao, Sourav Sen Gupta, Arijit Khan and Robby Luo | ||
| SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series | Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang and Vasant Honavar | ||
| Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network | Takuma Oda | ||
| 13:40-15:20 | user modeling | Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision | Ye Li, Hong Xie, Yishi Lin and John C.S. Lui |
| Automated Creative Optimization for E-Commerce Advertising | Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian and Kai Zheng | ||
| GuideBoot: Guided Bootstrap for Deep Contextual Bandits in Online Advertising | Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan and Qing He | ||
| A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising | Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian and Zhiqiang Zhang | ||
| Local Clustering in Contextual Multi-Armed Bandits | Yikun Ban and Jingrui He | ||
| 13:40-15:20 | web mining | Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring | Zhiwei Jiang, Meng Liu, Yafeng Yin, Hua Yu, Zifeng Cheng and Qing Gu |
| Wiki2Prop: A Multi-Modal Approach for Predicting Wikidata Properties from Wikipedia | Michael Luggen, Julien Audiffren, Djellel Difallah and Philippe Cudre-Mauroux | ||
| FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis | Youngseung Jeon, Seungwan Jin and Kyungsik Han | ||
| PARIMA: Viewport Adaptive 360-Degree Video Streaming | Lovish Chopra, Sarthak Chakraborty, Abhijit Mondal and Sandip Chakraborty | ||
| Controllable and Diverse Text Generation in E-commerce | Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji and Tarek Abdelzaher | ||
| 13:40-15:20 | social networks | Nonlinear Higher-Order Label Spreading | Francesco Tudisco, Austin R. Benson and Konstantin Prokopchik |
| HDMI: High-order Deep Multiplex Infomax | Baoyu Jing, Chanyoung Park and Hanghang Tong | ||
| Network of Tensor Time Series | Baoyu Jing, Hanghang Tong and Yada Zhu | ||
| Improving Graph Neural Networks with Structural Adaptive Receptive Fields | Xiaojun Ma, Junshan Wang, Hanyue Chen and Guojie Song | ||
| Few-shot Network Anomaly Detection via Cross-network Meta-learning | Kaize Ding, Qinghai Zhou, Hanghang Tong and Huan Liu | ||
| 13:40-15:20 | society | Learning Dynamic User Behavior Based on Error-driven Event Representation | Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng and Junming Shao |
| Using Prior Knowledge to Guide BERT’s Attention in Semantic Textual Matching Tasks | Tingyu Xia, Yue Wang, Yuan Tian and Yi Chang | ||
| Wait, Let’s Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases | Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon and Sungahn Ko | ||
| Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance | Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak Patel, Alex Mariakakis and Tim Althoff | ||
| Quiz-Style Question Generation for News Stories | Adam D. Lelkes, Vinh Tran and Cong Yu | ||
| 15:30-17:10 | social networks | Large-scale Comb-K Recommendation | Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang and Yanghua Li |
| Dual Side Deep Context-aware Modulation for Social Recommendation | Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang and Jiajun Chen | ||
| Graph Neural Networks for Friend Ranking in Large-scale Social Platforms | Aravind Sankar, Yozen Liu, Jun Yu and Neil Shah | ||
| Pathfinder Discovery Networks for Neural Message Passing | Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais and Bryan Perozzi | ||
| Few-Shot Molecular Property Prediction | Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang and Nitesh Chawla | ||
| 15:30-17:10 | web mining | Multi-domain Dialogue State Tracking with Recursive Inference | Lizi Liao, Tongyao Zhu, Le Hong Long and Tat Seng Chua |
| Automatic Intent-Slot Induction for Dialogue Systems | Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou and Jianping Shen | ||
| Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages | Rui Yan, Weiheng Liao, Jianwei Cui, Hailei Zhang, Yichuan Hu and Dongyan Zhao | ||
| ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks | Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu and Xiaochuan Wang | ||
| Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems | Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin and Wang Li | ||
| 15:30-17:10 | semanitcs | Computing Views of OWL Ontologies for the Semantic Web: A Forgetting-Based Approach | Jiaqi Li and Yizheng Zhao |
| Advanced Semantics for Commonsense Knowledge Extraction | Tuan-Phong Nguyen, Simon Razniewski and Gerhard Weikum | ||
| DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge | Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song and Bin He | ||
| Role-Aware Modeling for N-ary Relational Knowledge Bases | Yu Liu, Quanming Yao and Yong Li | ||
| Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus | Vinh Nguyen, Hong Yung Yip and Olivier Bodenreider | ||
Future of the Web
| CEST | Speaker | ||
| Chair | Evgeniy Gabrilovich, Google | ||
| 16:00-16:30 | Gerhard Weikum | 15 Years of Knowledge Graphs: Lessons, Challenges and Opportunities | |
| 16:30-17:00 | Soumen Chakrabarti | A Brief History of Question Answering |
Web of Health
| CEST | Speaker | Title | |
| 17:00-17:45 | Brenda Curtis | Artificial Intelligence-based Approaches in Behavioral Health | |
| 17:45-18:30 | Nuria Oliver | Data Science to fight against COVID-19 |
Keynotes
| CEST | Speaker | Title | |
| 18:00-19:00 | Yejin Choi University of Washington |
Commonsense Intelligence: Cracking the Longstanding Challenge in AI | |
| 19:00-20:00 | Estevam Hruschka Megagon Labs |
Implications and Explanations in User-Generated Data |
Web of Health
| CEST | Speaker | Title | |
| 1:30-2:15 | Munmun De Choudhury | Employing Social Media to Improve Mental Health: Harnessing the Potentials and Avoiding the Pitfalls | |
| 2:15-3:00 | Luca Foschini | Person-generated Health Data (PGHD): A New Ally for Public Health |
Keynote
| CEST | Speaker | Title | |
| 9:00:10:00 | Elena Simperl King’s College London |
The web of data: how are we doing so far? |
Papers
| CEST | Chair | Title | Authors |
| 10:00-11:40 | security | Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning | William Melicher, Clement Fung, Lujo Bauer and Limin Jia |
| An Empirical Study of Real-World WebAssembly Binaries: Security, Languages, Use Cases | Aaron Hilbig, Daniel Lehmann and Michael Pradel | ||
| Security of Alerting Authorities in the WWW: Measuring Namespaces, DNSSEC, and Web PKI | Pouyan Fotouhi Tehrani, Eric Osterweil, Jochen Schiller, Thomas Schmidt and Matthias Wählisch | ||
| LChecker: Detecting Loose Comparison Bugs in PHP | Penghui Li and Wei Meng | ||
| SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization | Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee and Wenchang Shi | ||
| 10:00-11:40 | user experience | From personal data to digital legacy: Exploring conflicts in the sharing, security and privacy of post-mortem data | Jack Holt, James Nicholson and Jan Smeddinck |
| ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning Path | Chien-Lin Tang, Jingxian Liao, Hao-Chuan Wang, Ching-Ying Sung and Wen-Chieh Lin | ||
| An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages | Sungkyu Park, Jaimie Yejean Park, Hyojin Chin, Jeong-Han Kang and Meeyoung Cha | ||
| Touchscreen Exploration of Visual Artwork for Blind People | Dragan Ahmetovic, Nahyun Kwon, Uran Oh, Cristian Bernareggi and Sergio Mascetti | ||
| Generating Accurate Caption Units For Figure Captioning | Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan Rossi, Sana Malik and Tak Yeon Lee | ||
| 10:00-11:40 | economics | Stochastic bandits for multi-platform budget optimization in online advertising | Vashist Avadhanula, Riccardo Colini Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman and Okke Schrijvers |
| Incrementality Testing in Programmatic Advertising: Enhanced Precision with Doubled-Blind Designs | Joel Barajas and Narayan Bhamidipati | ||
| FM^2: Field-matrixed Factorization Machines for Recommender Systems | Yang Sun, Junwei Pan, Alex Zhang and Aaron Flores | ||
| Integrating Floor Plans into Hedonic Models for Rent Price Appraisal | Kirill Solovev and Nicolas Pröllochs | ||
| TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search | Jason Zhu, Yanling Cui, Yuming Liu, Huasha Zhao, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yang and Ruofei Zhang | ||
| 10:00-11:40 | search | Leveraging User Behavior History for Personalized Email Search | Keping Bi, Pavel Metrikov, Chunyuan Li and Byungki Byun |
| Partial-Softmax Loss based Deep Hashing | Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei and Heyan Huang | ||
| Unsupervised Multi-Index Semantic Hashing | Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup and Christina Lioma | ||
| Learning a Product Relevance Model from Click-Through Data in e-Commerce | Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng and Xiaojun Wan | ||
| High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding | Yongxin Wang, Zhen-Duo Chen, Xin Luo and Xin-Shun Xu | ||
| 11:50-13:30 | social netowrks | Hashing-Accelerated Graph Neural Networks for Link Prediction | Wei Wu, Bin Li, Chuan Luo and Wolfgang Nejdl |
| Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction | Yingheng Wang, Yaosen Min, Xin Chen and Ji Wu | ||
| Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks | Xiangguo Sun, Bo Liu, Hongxu Chen, Wang Han, Qing Meng, Jiuxin Cao and Hongzhi Yin | ||
| Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks | Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury and Chandan K. Reddy | ||
| Community Value Prediction in Social E-commerce | Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Depeng Jin and Yujian Xu | ||
| 11:50-13:30 | user modeling | RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation | Cheng Hsu and Cheng-Te Li |
| Disentangling User Interest and Conformity for Recommendation with Causal Embedding | Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li and Depeng Jin | ||
| Future-Aware Diverse Trends Framework for Recommendation | Yujie Lu, Shengyu Zhang, Yingxuan Huang, Xinyao Yu, Luyao Wang, Zhou Zhao and Fei Wu | ||
| Graph Embedding for Recommendation against Attribute Inference Attacks | Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui and Xiangliang Zhang | ||
| AutoDim: Field-aware Embedding Dimension Search in Recommender Systems | Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao and Bo Long | ||
| 11:50-13:30 | web mining | Verdi: Quality Estimation and Error Detection for Bilingual Corpora | Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang and Xiaoli Wang |
| Crosslingual Topic Modeling with WikiPDA | Tiziano Piccardi and Robert West | ||
| Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries | Yizhu Liu, Qi Jia and Kenny Zhu | ||
| Graph Topic Neural Network for Document Representation | Qianqian Xie, Jimin Huang, Pan Du, Min Peng and Jian-Yun Nie | ||
| Insightful Dimensionality Reduction with Very Low Rank Variable Subsets | Bruno Ordozgoiti, Sachith Pai and Marta Kołczyńska | ||
| 11:50-13:30 | systems | SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs | Liang Dai, Tao Lin, Chang Liu, Bo Jiang, Yanwei Liu, Zhen Xu and Zhi-Li Zhang |
| MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments | Guangba Yu, Pengfei Chen, Hongyang Chen, Zijie Guan, Zicheng Huang, Linxiao Jing, Tianjun Weng, Xinmeng Sun and Xiaoyun Li | ||
| Outlier-Resilient Web Service QoS Prediction | Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng and Hong Huang | ||
| Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning | Letian Zhang, Lixing Chen and Jie Xu | ||
| Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding | Shohreh Deldari, Daniel V. Smith, Hao Xue and Flora D. Salim | ||
| 13:40-15:20 | society | REST: Reciprocal Framework for Spatiotemporal coupled predictions | Haozhe Lin, Yushun Fan, Jia Zhang and Bing Bai |
| Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks | Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen and Yong Li | ||
| HINTS: Citation Time Series Prediction for New Publications viaDynamic Heterogeneous Information Network Embedding | Song Jiang, Bernard Koch and Yizhou Sun | ||
| Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection | Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He | ||
| Rumor Detection with Field of Linear and Non-Linear Propagation | An Lao, Chongyang Shi and Yayi Yang | ||
| 13:40-15:20 | web mining | Situation and Behavior Understanding by Trope Detection on Films | Chen-Hsi Chang, Hung-Ting Su, Juiheng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang and Winston Hsu |
| A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps | Shuqing Bian, Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo and Ji-Rong Wen | ||
| Where Next? A Dynamic Model of User Preferences | Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson and Mounia Lalmas | ||
| Density-Ratio Based Personalised Ranking from Implicit Feedback | Riku Togashi, Masahiro Kato, Mayu Otani and Shin’Ichi Satoh | ||
| Itinerary-aware Personalized Deep Matching at Fliggy | Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu and Chuanfei Xu | ||
| 13:40-15:20 | web mining | MATCH: Metadata-Aware Text Classification in A Large Hierarchy | Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang and Jiawei Han |
| Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks | Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang and Jiawei Han | ||
| Scalable Auto-weighted Discrete Multi-view Clustering | Longqi Yang, Liangliang Zhang and Yuhua Tang | ||
| Linguistically-Enriched and Context-Aware Zero-shot Slot filling | A.B. Siddique, Fuad Jamour and Vagelis Hristidis | ||
| Enquire One’s Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion | Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng and Bang Liu | ||
| 13:40-15:20 | semantics | Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out | Peiran Yao and Denilson Barbosa |
| Few-Shot Knowledge Validation using Rules | Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmueller, Benjamin Feldmann and Felix Naumann | ||
| OntoZSL: Ontology-enhanced Zero-shot Learning | Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia and Huajun Chen | ||
| Trav-SHACL: Efficiently Validating Networks of SHACL Constraints | Philipp D. Rohde, Mónica Figuera and Maria-Esther Vidal | ||
| Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks | Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian and Yefeng Zheng | ||
| 15:30-17:10 | social networks | Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests | Yuan Yuan, Kristen Altenburger and Farshad Kooti |
| MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams | Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar and Bryan Hooi | ||
| Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs | Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li and Philip Yu | ||
| How Do Hyperedges Overlap in Real-World Hypergraphs? – Patterns, Measures, and Generators | Geon Lee, Minyoung Choe and Kijung Shin | ||
| STruD: Truss Decomposition of Simplicial Complexes | Giulia Preti, Gianmarco De Francisci Morales and Francesco Bonchi | ||
| 15:30-17:10 | web mining | Constructing Explainable Opinion Graphs from Reviews | Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li and Wang-Chiew Tan |
| The Surprising Performance of Simple Baselines for Misinformation Detection | Kellin Pelrine, Jacob Danovitch and Reihaneh Rabbany | ||
| MQuadE: a Unified Model for Knowledge Fact Embedding | Jinxing Yu, Yunfeng Cai, Mingming Sun and Ping Li | ||
| Target-adaptive Graph for Cross-target Stance Detection | Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He and Ruifeng Xu | ||
| Mining Dual Emotion for Fake News Detection | Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong and Kai Shu | ||
| 15:30-17:10 | semantics | Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases | Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan and Yu Su |
| Improving Neural Question Generation using Deep Linguistic Representation | Wei Yuan, Tieke He and Xinyu Dai | ||
| Diverse and Specific Clarification Question Generation with Keywords | Zhiling Zhang and Kenny Zhu | ||
| Knowledge-Aware Procedural Text Understanding with Multi-Stage Training | Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu and Daxin Jiang | ||
| Multi-level Connection Enhanced Representation Learning for Script Event Prediction | Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong and Chen Li | ||
| 15:30-17:10 | society | Unsupervised Lifelong Learning with Curricula | Yi He, Sheng Chen, Baijun Wu, Xu Yuan and Xindong Wu |
| Taxonomy-aware Learning for Few-shot Event Detection | Jianming Zheng, Fei Cai, Wanyu Chen, Wengqiang Lei and Honghui Chen | ||
| DistCare: Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis | Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang and Jiangtao Wang | ||
| AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings | Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low and Jimeng Sun | ||
| UserSim: User Simulation via Supervised Generative Adversarial Network | Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin and Jiliang Tang |
Developers track
| CEST | Speaker | Title | |
| Chairs: Dan Brickley, Andreas Hart | |||
| 14:00-14:30 | Thomas Steiner, François Beaufort | Accessing HID Devices on the Web With the WebHID API: How to play the Chrome Dino Game by Jumping With a Nintendo Joy-Con Controller in One’s Pocket | |
| 14:20-14:40 | Harisankar Krishna Swamy | Ai model store | |
| 14:40-15:10 | Enrico Daga and Luigi Asprino | The SPARQL.Anything project | |
| 15:00-15:15 | Discussion | ||
| 15:15-15:30 | Break | ||
| 15:30-15:50 | Filip Ilievski, Daniel Garijo and Pedro Szekely | KGTK: A Knowledge Graph Toolkit for Exploiting Large Knowledge Graphs | |
| 15:50-16:10 | Vincent Emonet | Indexing and Accessing Standard Knowledge from Code Repositories and Linked Open Data | |
| 16:10-16:30 | Victor Charpenay | BOLD: A Benchmark for Linked Data and Hypermedia Agents | |
| 16:30-17:00 | Discussion and Closing |
Demo track
| CEST | Speaker | Title | |
| Cahirs: James Hodson, Janez Brank | |||
| 14:00-15:00 | Shuang Peng | Insurance Assistant: An Intelligent Platform for Video Insurance Assessment | |
| Binbin Wang | FastSNG: The Fastest Social Network Dataset Generator | ||
| Kuan-Chieh Lo | Escape from Echo Chamber | ||
| Tianyi Yang | TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release | ||
| 15:00-16:00 | Pavlos Fafalios | ClaimLinker: Linking Text to a Knowledge Graph of Fact-checked Claims | |
| Mohamad Yaser Jaradeh | Indexing and Accessing Standard Knowledge from Code Repositories and Linked Open Data | ||
| Golsa Heidari | Demonstration of Faceted Search on Scholarly Knowledge Graphs | ||
| Amit Kumar | Semantic Search via Entity-Types: The SEMANNOREX Framework | ||
| Benno Kruit | TAKCO: A Platform for Extracting Novel Facts from Tables | ||
| 16:00-17:00 | Dongjin Choi | TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration | |
| Meenatchi Sundaram Muthu | TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration | ||
| Gertjan De Mulder | PROV4ITDaTa: Transparent and direct transfer of personal data to personal stores | ||
| Lucy McKenna | ARK-Virus: An Extension of the ARK Platform for Mindful Risk Governance of Personal Protective Equipment Use in Healthcare | ||
| Nampoina Andriamilanto | BrFAST: a Tool to Select Browser Fingerprinting Attributes for Web Authentication According to a Usability-Security Trade-off |
Future of the Web
| CEST | Speaker | Title | |
| Chairs: | Evgeniy Gabrilovich | ||
| 16:00-16:30 | Mounja Lalmas | Personalization at Spotify: Enriching Life Through Audio | |
| 16:30-17:00 | Mor Naaman | To Fix Online Trustworthiness, Learn from the Animals< | |
| 17:00-17:30 | Michael Ostrovsky | The evolution of sponsored listings: past, present, and conjectures about the future |
Panel
| CEST | Panelist | ||
| 18:00-19:30 | Chair: | Ricardo Baeza-Yates Institute for Experiential AI, Northeastern University |
Ethics & Fairness on the Web |
| Nisha Talagala CEO and Founder – AIClub World |
|||
| Gregor Strojin Chair of Ad Hoc Committee on Artificial Intelligence at Council of Europe (CAHAI) |
|||
| Jeanna Matthews, Professor Department of Computer Science, Clarkson University |
Keynote
| CEST | Speaker | Title | |
| 19:30-20:30 | Krysta Svore Microsoft Research |
Enabling the quantum revolution — pioneering advances to achieve quantum computing and impact at scale | |
| 20:30-21:30 | Ganesh Mani Carnegie Mellon |
AI Grand Challenges: Past, Present and Future |
Panel
| CEST | Panelist | ||
| 9:00-10:30 | Chair: | Emine Yilmaz, Professor, University College London & Amazon Scholar, Amazon | Conversational Systems |
| Eugene Agichtein, Professor, Emory University and Amazon Scholar, Amazon | |||
| Julia Kiseleva, Senior Researcher, Microsoft | |||
| Mark Sanderson, Professor, RMIT University | |||
| Idan Szpektor, Staff Research Scientist and Manager, Google |
Papers
| CEST | Chair | Title | Authors |
| 10:00-11:40 | security | Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start | Zhuoran Liu and Martha Larson |
| Robust Android Malware Detection Against Adversarial Example Attacks | Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao and Shuiyan Chen | ||
| Where are you taking me? Understanding Abusive Traffic Distribution Systems | Janos Szurdi, Meng Luo, Brian Kondracki, Nick Nikiforakis and Nicolas Christin | ||
| One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework | Shahroz Tariq, Sangyup Lee and Simon Woo | ||
| A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning | Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzman, Benjamin Rubinstein and Trevor Cohn | ||
| 10:00-11:40 | social networks | On the Equivalence of Decoupled Graph Convolution Network and Label Propagation | Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding and Peng Cui |
| Mixup for Node and Graph Classification | Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai and Bryan Hooi | ||
| Effective and Scalable Clustering on Massive Attributed Graphs | Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang and Xiaokui Xiao | ||
| Mask-GVAE: Blind De-noising Graphs via Partition | Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan and Hong Cheng | ||
| Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications | Xuecheng Liu, Luoyi Fu and Xinbing Wang | ||
| 10:00-11:40 | search | Convex Surrogates for Unbiased Loss in Extreme Classification with Missing Labels | Mohammadreza Mohammadnia Qararei, Erik Schultheis, Priyanshu Gupta and Rohit Babbar |
| ECLARE: Extreme Classification with Label Graph Correlations | Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar and Manik Varma | ||
| GalaXC: Graph neurAI networks with Labelwise Attention for eXtreme Classification | Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang and Manik Varma | ||
| Generalizing Discriminative Retrieval Models using Generative Tasks | Binsheng Liu, Hamed Zamani, Xiaolu Lu and J. Shane Culpepper | ||
| FedPS: A Privacy Protection Enhanced Personalized Search Framework | Jing Yao, Zhicheng Dou and Ji-Rong Wen | ||
| 10:00-11:40 | society | Auditing for Discrimination in Algorithms Delivering Job Ads | Basileal Imana, Aleksandra Korolova and John Heidemann |
| Debiasing Career Recommendations with Neural Fair Collaborative Filtering | Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan and James Foulds | ||
| The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms | Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro and Mustafa Bilgic | ||
| Dialect Diversity in Text Summarization on Twitter | L. Elisa Celis and Vijay Keswani | ||
| Fairness Aware PageRank | Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Panayiotis Tsaparas, Ilias Kleftakis and Nikos Mamoulis | ||
| 11:50-13:30 | user modeling | Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He and Hui Xiong |
| Personalized Approximate Pareto-Efficient Recommendation | Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia and Leyu Lin | ||
| ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models | Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy and Gerhard Weikum | ||
| Bidirectional Distillation for Top-K Recommender System | Wonbin Kweon, Seongku Kang and Hwanjo Yu | ||
| Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities | Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed Chi and Minmin Chen | ||
| 11:50-13:30 | social networks | Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination | Yang Zhou, Zeru Zhang, Sixing Wu, Victor Sheng, Xiaoying Han, Zijie Zhang and Ruoming Jin |
| ATTENT: Active Attributed Network Alignment | Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying and Hanghang Tong | ||
| BRIGHT: A Bridging Algorithm for Network Alignment | Yuchen Yan, Si Zhang and Hanghang Tong | ||
| Sketch-Based Algorithms for Approximate Shortest Paths in Road Networks | Gaurav Aggarwal, Sreenivas Gollapudi, Raghavender R and Ali Kemal Sinop | ||
| Efficient Reductions and A Fast Algorithm of Maximum Weighted Independent Set | Mingyu Xiao, Sen Huang, Yi Zhou and Bolin Ding | ||
| 11:50-10:30 | economics | Auction Design for ROI-Constrained Buyers | Negin Golrezaei, Ilan Lobel and Renato Paes Leme |
| Bid Prediction in Repeated Auctions with Learning | Gali Noti and Vasilis Syrgkanis | ||
| Towards Efficient Auctions for Auto-bidders | Yuan Deng, Jieming Mao, Vahab Mirrokni and Song Zuo | ||
| Information Elicitation from Rowdy Crowds | Grant Schoenebeck, Fang-Yi Yu and Yichi Zhang | ||
| Evaluating the Rationales of Retail Investors | Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen | ||
| 11:50-13:30 | semantics | Information Extraction From Co-Occurring Similar Entities | Nicolas Heist and Heiko Paulheim |
| Unsupervised Semantic Association Learning with Latent Label Inference | Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu and Yongyi Mao | ||
| TCN: Table Convolutional Network for Web Table Interpretation | Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong and Meng Jiang | ||
| Extracting Contextualized Quantity Facts from Web Tables | Vinh Thinh Ho, Koninika Pal, Simon Razniewski, Klaus Berberich and Gerhard Weikum | ||
| Searching to Sparsify Tensor Decomposition for N-ary relational data | Shimin Di, Quanming Yao and Lei Chen |
Closing ceremony
| CEST | ||
| 13:30-14:00 |
CLOSING CEREMONY OF 30TH THE WEB CONFERENCE |
Marko Grobelnik, Jure Leskovec |
