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ORCID30th WWW 2021: Virtual Event / Ljubljana, Slovenia
- Jure Leskovec, Marko Grobelnik, Marc Najork, Jie Tang, Leila Zia:
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021. ACM / IW3C2 2021, ISBN 978-1-4503-8312-7
Session: Online Markets
- Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. 1-10 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Rajiv Ratn Shah:
Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading. 11-22 - Friedhelm Victor
, Andrea Marie Weintraud:
Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges. 23-32 - Lei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang, Xiapu Luo, Zhi Wang, Fan Zhang, Kui Ren:
Towards Understanding and Demystifying Bitcoin Mixing Services. 33-44 - Kyle Soska, Jin-Dong Dong, Alex Khodaverdian, Ariel Zetlin-Jones, Bryan R. Routledge, Nicolas Christin:
Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX. 45-57
Session: Security
- Penghui Li, Wei Meng, Kangjie Lu, Changhua Luo:
On the Feasibility of Automated Built-in Function Modeling for PHP Symbolic Execution. 58-69 - Hyunwoo Lee, Doowon Kim, Yonghwi Kwon:
TLS 1.3 in Practice: How TLS 1.3 Contributes to the Internet. 70-79 - Jordan Jueckstock, Shaown Sarker, Peter Snyder, Aidan Beggs, Panagiotis Papadopoulos, Matteo Varvello, Benjamin Livshits, Alexandros Kapravelos:
Towards Realistic and ReproducibleWeb Crawl Measurements. 80-91 - Hyejin Shin, WooChul Shim, Saebom Kim, Sol Lee, Yong Goo Kang, Yong Ho Hwang:
#Twiti: Social Listening for Threat Intelligence. 92-104 - Guannan Liu, Xing Gao, Haining Wang:
An Investigation of Identity-Account Inconsistency in Single Sign-On. 105-117
Session: Learn to Rank
- Sebastian Bruch:
An Alternative Cross Entropy Loss for Learning-to-Rank. 118-126 - Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky:
Diversification-Aware Learning to Rank using Distributed Representation. 127-136 - Tao Yang, Qingyao Ai:
Maximizing Marginal Fairness for Dynamic Learning to Rank. 137-145 - Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang:
PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer. 146-157 - Harrie Oosterhuis, Maarten de Rijke:
Robust Generalization and Safe Query-Specializationin Counterfactual Learning to Rank. 158-170
Session: Digital Health
- Jing Ma, Qiuchen Zhang, Jian Lou, Li Xiong, Joyce C. Ho:
Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics. 171-182 - Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal:
Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. 183-193 - Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff:
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach. 194-205 - Sebastian Cross, Ahmed Mourad, Guido Zuccon, Bevan Koopman:
Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. 206-216 - Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. 217-226
Session: Search
- Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang:
MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. 227-238 - Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke:
Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. 239-248 - Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West:
On the Value of Wikipedia as a Gateway to the Web. 249-260 - Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma:
Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering. 261-269 - Ruizhe Zhang, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma:
Constructing a Comparison-based Click Model for Web Search. 270-283
Session: Systems and Infrastructure
- Jia Zhang, Enhuan Dong, Zili Meng, Yuan Yang, Mingwei Xu, Sijie Yang, Miao Zhang, Yang Yue:
WiseTrans: Adaptive Transport Protocol Selection for Mobile Web Service. 284-294 - Lorenzo Corneo, Maximilian Eder, Nitinder Mohan, Aleksandr Zavodovski, Suzan Bayhan, Walter Wong, Per Gunningberg, Jussi Kangasharju, Jörg Ott:
Surrounded by the Clouds: A Comprehensive Cloud Reachability Study. 295-304 - Conor Kelton, Matteo Varvello, Andrius Aucinas, Ben Livshits:
BrowseLite: A Private Data Saving Solution for the Web. 305-316 - Hamed Rezaei, Balajee Vamanan:
Superways: A Datacenter Topology for Incast-heavy workloads. 317-328 - Santiago Vargas, Rebecca Drucker, Aiswarya Renganathan, Aruna Balasubramanian, Anshul Gandhi:
BBR Bufferbloat in DASH Video. 329-341
Session: Graph Models
- Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, Xing Xie:
Graph Structure Estimation Neural Networks. 342-353 - Zitan Sun, Xin Huang, Jianliang Xu, Francesco Bonchi:
Efficient Probabilistic Truss Indexing on Uncertain Graphs. 354-366 - Katherine Van Koevering, Austin R. Benson, Jon M. Kleinberg:
Random Graphs with Prescribed K-Core Sequences: A New Null Model for Network Analysis. 367-378 - Ahmet Erdem Sariyüce:
Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks. 379-390 - Di Jin, Cuiying Huo, Chundong Liang, Liang Yang:
Heterogeneous Graph Neural Network via Attribute Completion. 391-400
Session: Recommendations
- Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li:
DGCN: Diversified Recommendation with Graph Convolutional Networks. 401-412 - Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung, Xiangliang Zhang:
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation. 413-424 - Xu Chen, Yali Du, Long Xia, Jun Wang:
Reinforcement Recommendation with User Multi-aspect Preference. 425-435 - Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. 436-448 - Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding:
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. 449-459
Session: Networks, Access and Content Quality
- Antonis Papasavva, Jeremy Blackburn, Gianluca Stringhini, Savvas Zannettou, Emiliano De Cristofaro:
"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat. 460-471 - Zachary Weinberg, Diogo Barradas, Nicolas Christin:
Chinese Wall or Swiss Cheese? Keyword filtering in the Great Firewall of China. 472-483 - Lin Jin, Shuai Hao, Haining Wang, Chase Cotton:
Understanding the Impact of Encrypted DNS on Internet Censorship. 484-495 - Suyu Ge, Lu Cheng, Huan Liu:
Improving Cyberbullying Detection with User Interaction. 496-506 - Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu:
IFSpard: An Information Fusion-based Framework for Spam Review Detection. 507-517
Session: Sentiment
- Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao:
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. 518-528 - Prashanth Vijayaraghavan, Deb Roy:
Modeling Human Motives and Emotions from Personal Narratives Using External Knowledge And Entity Tracking. 529-540 - Sicheng Zhao, Yang Xiao, Jiang Guo, Xiangyu Yue, Jufeng Yang, Ravi Krishna, Pengfei Xu, Kurt Keutzer:
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources. 541-552 - Hao Fei, Yafeng Ren, Shengqiong Wu, Bobo Li, Donghong Ji:
Latent Target-Opinion as Prior for Document-Level Sentiment Classification: A Variational Approach from Fine-Grained Perspective. 553-564 - Mohammadzaman Zamani, H. Andrew Schwartz:
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the Ordinary. 565-574
Session: User Modeling
- Jan Van Balen, Bart Goethals:
High-dimensional Sparse Embeddings for Collaborative Filtering. 575-581 - Xiucheng Li, Jin Yao Chin, Yile Chen, Gao Cong:
Sinkhorn Collaborative Filtering. 582-592 - Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs:
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. 593-601 - Keith M. Davis III, Michiel M. A. Spapé, Tuukka Ruotsalo:
Collaborative Filtering with Preferences Inferred from Brain Signals. 602-611 - Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong:
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. 612-623
Session: Bias and Fairness
- Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
User-oriented Fairness in Recommendation. 624-632 - Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. 633-645 - Nuno Mota, Negar Mohammadi, Palash Dey, Krishna P. Gummadi, Abhijnan Chakraborty:
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding. 646-657 - Ziwei Gu, Jing Nathan Yan, Jeffrey M. Rzeszotarski:
Understanding User Sensemaking in Machine Learning Fairness Assessment Systems. 658-668 - Fatemehsadat Mireshghallah, Mohammadkazem Taram, Ali Jalali, Ahmed Taha Elthakeb, Dean M. Tullsen, Hadi Esmaeilzadeh:
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy. 669-680
Session: Models for networks and dynamics
- Matteo Almanza, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re:
Twin Peaks, a Model for Recurring Cascades. 681-692 - Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec:
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. 693-705 - Maximilian Nickel, Matthew Le:
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. 706-717 - Giselle Zeno, Timothy La Fond, Jennifer Neville:
DYMOND: DYnamic MOtif-NoDes Network Generative Model. 718-729 - Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie:
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. 730-742
Session: Web Mining for Search
- Jia Chen, Jiaxin Mao, Yiqun Liu, Fan Zhang, Min Zhang, Shaoping Ma:
Towards a Better Understanding of Query Reformulation Behavior in Web Search. 743-755 - Xiangsheng Li, Jiaxin Mao, Weizhi Ma, Yiqun Liu, Min Zhang, Shaoping Ma, Zhaowei Wang, Xiuqiang He:
Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. 756-767 - Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. 768-777 - Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. 778-787 - Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen:
Cross-Positional Attention for Debiasing Clicks. 788-797
Session: Entity Linking and Knowledge Graph Completion
- Daniel Daza, Michael Cochez, Paul Groth:
Inductive Entity Representations from Text via Link Prediction. 798-808 - Sudhanshu Tiwari, Iti Bansal, Carlos R. Rivero:
Revisiting the Evaluation Protocol of Knowledge Graph Completion Methods for Link Prediction. 809-820 - Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan:
Boosting the Speed of Entity Alignment 10 ×: Dual Attention Matching Network with Normalized Hard Sample Mining. 821-832 - George Papadakis, Georgios M. Mandilaras, Nikos Mamoulis, Manolis Koubarakis:
Progressive, Holistic Geospatial Interlinking. 833-844 - Paolo Rosso, Dingqi Yang, Natalia Ostapuk, Philippe Cudré-Mauroux:
RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs. 845-856
Session: Recommendations
- Zheyuan Ryan Shi, Leah Lizarondo, Fei Fang:
A Recommender System for Crowdsourcing Food Rescue Platforms. 857-865 - Shengnan Lyu, Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek:
A Workflow Analysis of Context-driven Conversational Recommendation. 866-877 - Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. 878-887 - Xing Zhao, Ziwei Zhu, James Caverlee:
Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. 888-899 - Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu:
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. 900-911
Session: Federated Learning
- Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang:
Meta-HAR: Federated Representation Learning for Human Activity Recognition. 912-922 - Bingyan Liu, Yao Guo, Xiangqun Chen:
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. 923-934 - Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu:
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data. 935-946 - Jingwen Zhang, Yuezhou Wu, Rong Pan:
Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. 947-956 - Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. 957-968
Session: Security
- Minghong Fang, Minghao Sun, Qi Li, Neil Zhenqiang Gong, Jin Tian, Jia Liu:
Data Poisoning Attacks and Defenses to Crowdsourcing Systems. 969-980 - Jiameng Pu, Neal Mangaokar, Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, Bimal Viswanath:
Deepfake Videos in the Wild: Analysis and Detection. 981-992 - Tianhao Wang, Florian Kerschbaum:
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks. 993-1004 - Anil Yelam, Shibani Subbareddy, Keerthana Ganesan, Stefan Savage, Ariana Mirian:
CoResident Evil: Covert Communication In The Cloud With Lambdas. 1005-1016 - Hao Wu, Xuejin Tian, Yuhang Gong, Xing Su, Minghao Li, Fengyuan Xu:
DAPter: Preventing User Data Abuse in Deep Learning Inference Services. 1017-1028
Session: Information retrieval
- Puxuan Yu, Hongliang Fei, Ping Li:
Cross-lingual Language Model Pretraining for Retrieval. 1029-1039 - Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang:
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. 1040-1052 - Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. 1053-1064 - Ömer Kirnap, Fernando Diaz, Asia Biega, Michael D. Ekstrand, Ben Carterette, Emine Yilmaz:
Estimation of Fair Ranking Metrics with Incomplete Judgments. 1065-1075 - Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. 1076-1085
Session: Online Conversations
- Martin Saveski, Brandon Roy, Deb Roy:
The Structure of Toxic Conversations on Twitter. 1086-1097 - Andreas Spitz, Ahmad Abu-Akel, Robert West:
Interventions for Softening Can Lead to Hardening of Opinions: Evidence from a Randomized Controlled Trial. 1098-1109 - Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee:
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups. 1110-1121 - Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou:
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19. 1122-1133 - Jiajun Bao, Junjie Wu, Yiming Zhang, Eshwar Chandrasekharan, David Jurgens:
Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations. 1134-1145
Session: Systems and Infrastructure
- Patara Trirat, Jae-Gil Lee:
DF-TAR: A Deep Fusion Network for Citywide Traffic Accident Risk Prediction with Dangerous Driving Behavior. 1146-1156 - Alexander Yu, Theophilus A. Benson:
Dissecting Performance of Production QUIC. 1157-1168 - Yongqiang Liu, Xike Xie:
XY-Sketch: on Sketching Data Streams at Web Scale. 1169-1180 - Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang:
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. 1181-1191 - Paul Murley, Zane Ma, Joshua Mason, Michael D. Bailey, Amin Kharraz:
WebSocket Adoption and the Landscape of the Real-Time Web. 1192-1203
Session: Graph Models
- Qingqing Long, Yilun Jin, Yi Wu, Guojie Song:
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. 1204-1214 - Meiqi Zhu, Xiao Wang, Chuan Shi, Houye Ji, Peng Cui:
Interpreting and Unifying Graph Neural Networks with An Optimization Framework. 1215-1226 - Cheng Yang, Jiawei Liu, Chuan Shi:
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. 1227-1237 - Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
CurGraph: Curriculum Learning for Graph Classification. 1238-1248 - Yiding Zhang, Xiao Wang, Chuan Shi, Nian Liu, Guojie Song:
Lorentzian Graph Convolutional Networks. 1249-1261
Session: Recommendations
- Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. 1262-1273 - Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. 1274-1283 - Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. 1284-1295 - Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie:
Interest-aware Message-Passing GCN for Recommendation. 1296-1305 - Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang:
Task-adaptive Neural Process for User Cold-Start Recommendation. 1306-1316
Session: Sampling
- Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. 1317-1327 - Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li:
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network. 1328-1339 - Yanhao Wang, Francesco Fabbri, Michael Mathioudakis:
Fair and Representative Subset Selection from Data Streams. 1340-1350 - Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan:
CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining. 1351-1362 - Paul Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Mehul Parsana:
Diversity on the Go! Streaming Determinantal Point Processes under a Maximum Induced Cardinality Objective. 1363-1372
Session: Knowledge Graphs
- Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. 1373-1384 - Christian Aebeloe, Gabriela Montoya, Katja Hose:
ColChain: Collaborative Linked Data Networks. 1385-1396 - Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. 1397-1409 - Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Evgeny Kharlamov, Yulin Shen:
Efficient Computation of Semantically Cohesive Subgraphs for Keyword-Based Knowledge Graph Exploration. 1410-1421 - Amr Azzam, Christian Aebeloe, Gabriela Montoya, Ilkcan Keles, Axel Polleres, Katja Hose:
WiseKG: Balanced Access to Web Knowledge Graphs. 1422-1434
Session: Mobile and Ubiquitous Computing
- Fuqi Lin, Haoyu Wang, Liu Wang, Xuanzhe Liu:
A Longitudinal Study of Removed Apps in iOS App Store. 1435-1446 - Yuhao Gao, Haoyu Wang, Li Li, Xiapu Luo, Guoai Xu, Xuanzhe Liu:
Demystifying Illegal Mobile Gambling Apps. 1447-1458 - Xin Zhang, Yifan Zhang:
ReACt: A Resource-centric Access Control System for Web-app Interactions on Android. 1459-1470 - Yilin Liu, Shijia Zhang, Mahanth Gowda:
NeuroPose: 3D Hand Pose Tracking using EMG Wearables. 1471-1482 - Matthew Johnson, Jenny T. Liang, Michelle Lin, Sudheesh Singanamalla, Kurtis Heimerl:
Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network. 1483-1494
Session: Neural Networks
- Qiang Zhang, Aldo Lipani, Emine Yilmaz:
Learning Neural Point Processes with Latent Graphs. 1495-1505 - Jayoung Kim, Jinsung Jeon, Jaehoon Lee, Jihyeon Hyeong, Noseong Park:
OCT-GAN: Neural ODE-based Conditional Tabular GANs. 1506-1515 - Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang:
Neural Collaborative Reasoning. 1516-1527 - Lecheng Zheng, Yu Cheng, Hongxia Yang, Nan Cao, Jingrui He:
Deep Co-Attention Network for Multi-View Subspace Learning. 1528-1539 - Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Ji Zhang, Jun Gao:
ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. 1540-1551
Session: Personalization
- Jiahuan Pei, Pengjie Ren, Maarten de Rijke:
A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. 1552-1561 - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Stimuli-Sensitive Hawkes Processes for Personalized Student Procrastination Modeling. 1562-1573 - Ye Tu, Kinjal Basu, Cyrus DiCiccio, Romil Bansal, Preetam Nandy, Padmini Jaikumar, Shaunak Chatterjee:
Personalized Treatment Selection using Causal Heterogeneity. 1574-1585 - Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong:
Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. 1586-1597 - Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. 1598-1608
Session: Network Embeddings
- Zekarias T. Kefato, Sarunas Girdzijauskas, Nasrullah Sheikh, Alberto Montresor:
Dynamic Embeddings for Interaction Prediction. 1609-1618 - Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Knowledge Embedding Based Graph Convolutional Network. 1619-1628 - Zhijun Liu, Chao Huang, Yanwei Yu, Junyu Dong:
Motif-Preserving Dynamic Attributed Network Embedding. 1629-1638 - Huidi Chen, Yun Xiong, Yangyong Zhu, Philip S. Yu:
Highly Liquid Temporal Interaction Graph Embeddings. 1639-1648 - Hansheng Xue, Luwei Yang, Vaibhav Rajan, Wen Jiang, Yi Wei, Yu Lin:
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks. 1649-1660
Session: Information Extraction
- Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, Bin Wang:
Semi-Open Information Extraction. 1661-1672 - Anson Bastos, Abhishek Nadgeri, Kuldeep Singh, Isaiah Onando Mulang', Saeedeh Shekarpour, Johannes Hoffart, Manohar Kaul:
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network. 1673-1685 - Runjin Chen, Yanyan Shen, Dongxiang Zhang:
GNEM: A Generic One-to-Set Neural Entity Matching Framework. 1686-1694 - Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu:
Effective Named Entity Recognition with Boundary-aware Bidirectional Neural Networks. 1695-1703 - Yongliang Shen, Xinyin Ma, Yechun Tang, Weiming Lu:
A Trigger-Sense Memory Flow Framework for Joint Entity and Relation Extraction. 1704-1715
Session: Knowledge Graph Embeddings
- Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng:
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. 1716-1726 - Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. 1727-1736 - Bo Wang, Tao Shen, Guodong Long, Tianyi Zhou, Ying Wang, Yi Chang:
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion. 1737-1748 - Huijuan Wang, Shuangyin Li, Rong Pan:
An Adversarial Transfer Network for Knowledge Representation Learning. 1749-1760 - Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz:
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. 1761-1771
Session: Relevance, Ranking and Recommendations
- Aram Ebtekar, Paul Liu:
Elo-MMR: A Rating System for Massive Multiplayer Competitions. 1772-1784 - Ruoxi Wang, Rakesh Shivanna, Derek Zhiyuan Cheng, Sagar Jain, Dong Lin, Lichan Hong, Ed H. Chi:
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems. 1785-1797 - Yaqing Wang, Quanming Yao, James T. Kwok:
A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning. 1798-1808 - Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. 1809-1820 - Dan Li, Zhaochun Ren, Evangelos Kanoulas:
CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations. 1821-1832
Session: Urban Computing
- Yuxuan Liang, Kun Ouyang, Junkai Sun, Yiwei Wang, Junbo Zhang, Yu Zheng, David S. Rosenblum, Roger Zimmermann:
Fine-Grained Urban Flow Prediction. 1833-1845 - Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. 1846-1855 - Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong:
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning. 1856-1867 - Zhengyang Zhou, Yang Wang, Xike Xie, Lei Qiao, Yuantao Li:
STUaNet: Understanding Uncertainty in Spatiotemporal Collective Human Mobility. 1868-1879 - Sayda Elmi, Kian-Lee Tan:
DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities. 1880-1890
Session: Crowdsourcing
- Mohammad Javad Amiri, Joris Duguépéroux, Tristan Allard, Divyakant Agrawal, Amr El Abbadi:
Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees. 1891-1903 - Chi Hong, Amirmasoud Ghiassi, Yichi Zhou, Robert Birke, Lydia Y. Chen:
Online Label Aggregation: A Variational Bayesian Approach. 1904-1915 - Ines Arous, Jie Yang, Mourad Khayati, Philippe Cudré-Mauroux:
Peer Grading the Peer Reviews: A Dual-Role Approach for Lightening the Scholarly Paper Review Process. 1916-1927 - Mohammadreza Esfandiari, Ria Mae Borromeo, Sepideh Nikookar, Paras Sakharkar, Sihem Amer-Yahia, Senjuti Basu Roy:
Multi-Session Diversity to Improve User Satisfaction in Web Applications. 1928-1936 - Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang, Alessandro Bozzon:
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. 1937-1948
Session: Question Answering Systems
- Yatao Yang, Biyu Ma, Jun Tan, Hongbo Deng, Haikuan Huang, Zibin Zheng:
FINN: Feedback Interactive Neural Network for Intent Recommendation. 1949-1958 - Haozhe Qin, Jiangang Zhu, Beijun Shen:
Weakly-Supervised Question Answering with Effective Rank and Weighted Loss over Candidates. 1959-1967 - Zhenduo Wang, Qingyao Ai:
Controlling the Risk of Conversational Search via Reinforcement Learning. 1968-1977 - Danish Contractor, Shashank Goel, Mausam, Parag Singla:
Joint Spatio-Textual Reasoning for Answering Tourism Questions. 1978-1989 - Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin:
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection. 1990-2001
Session: Politics on the Web
- Vera Sosnovik, Oana Goga:
Understanding the Complexity of Detecting Political Ads. 2002-2013 - Victor Kristof, Aswin Suresh, Matthias Grossglauser, Patrick Thiran:
War of Words II: Enriched Models of Law-Making Processes. 2014-2024 - Aaron Schein, Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffrey Quinn, James Moffet, David M. Blei, Donald P. Green:
Assessing the Effects of Friend-to-Friend Texting onTurnout in the 2018 US Midterm Elections. 2025-2036 - Wanyue Xu, Qi Bao, Zhongzhi Zhang:
Fast Evaluation for Relevant Quantities of Opinion Dynamics. 2037-2045 - Bibek Paudel, Abraham Bernstein:
Random Walks with Erasure: Diversifying Personalized Recommendations on Social and Information Networks. 2046-2057
Session: Graph Models
- Mingqi Yang, Yanming Shen, Heng Qi, Baocai Yin:
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks. 2058-2068 - Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. 2069-2080 - Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He:
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. 2081-2091 - Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich:
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. 2092-2103 - Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling:
TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. 2104-2116
Session: Privacy
- Quan Chen, Panagiotis Ilia, Michalis Polychronakis, Alexandros Kapravelos:
Cookie Swap Party: Abusing First-Party Cookies for Web Tracking. 2117-2129 - Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. Markatos:
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users. 2130-2141 - Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan K. L. Ko, Jin Song Dong:
It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. 2142-2153 - Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang, Meishan Zhang:
Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13. 2154-2164 - Ryan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar, Arvind Narayanan, Jonathan R. Mayer:
Privacy Policies over Time: Curation and Analysis of a Million-Document Dataset. 2165-2176
Session: Recommendations
- Yingtao Luo, Qiang Liu, Zhaocheng Liu:
STAN: Spatio-Temporal Attention Network for Next Location Recommendation. 2177-2185 - Minjin Choi, Jinhong Kim, Joonseok Lee, Hyunjung Shim, Jongwuk Lee:
Session-aware Linear Item-Item Models for Session-based Recommendation. 2186-2197 - Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang:
Learning Fair Representations for Recommendation: A Graph-based Perspective. 2198-2208 - Xi Wang, Iadh Ounis, Craig Macdonald:
Leveraging Review Properties for Effective Recommendation. 2209-2219 - Yin Zhang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, Ed H. Chi:
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation. 2220-2231
Session: Mobile and Ubiquitous Computing
- Wenxiao Zhang, Feng Qian, Bo Han, Pan Hui:
DeepVista: 16K Panoramic Cinema on Your Mobile Device. 2232-2244 - Liang Yuan, Qiang He, Siyu Tan, Bo Li, Jiangshan Yu, Feifei Chen, Hai Jin, Yun Yang:
CoopEdge: A Decentralized Blockchain-based Platform for Cooperative Edge Computing. 2245-2257 - Lin Zhao, Sourav Sen Gupta, Arijit Khan, Robby Luo:
Temporal Analysis of the Entire Ethereum Blockchain Network. 2258-2269 - Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar:
SrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series. 2270-2280 - Takuma Oda:
Equilibrium Inverse Reinforcement Learning for Ride-hailing Vehicle Network. 2281-2290
Session: Online Advertising
- Ye Li, Hong Xie, Yishi Lin, John C. S. Lui:
Unifying Offline Causal Inference and Online Bandit Learning for Data Driven Decision. 2291-2303 - Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. 2304-2313 - Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. 2314-2323 - Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. 2324-2334 - Yikun Ban, Jingrui He:
Local Clustering in Contextual Multi-Armed Bandits. 2335-2346
Session: Web Mining Applications
- Zhiwei Jiang, Meng Liu, Yafeng Yin, Hua Yu, Zifeng Cheng, Qing Gu:
Learning from Graph Propagation via Ordinal Distillation for One-Shot Automated Essay Scoring. 2347-2356 - Michael Luggen, Julien Audiffren, Djellel Eddine Difallah, Philippe Cudré-Mauroux:
Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia. 2357-2366 - Youngseung Jeon, Seungwan Jin, Kyungsik Han:
FANCY: Human-centered, Deep Learning-based Framework for Fashion Style Analysis. 2367-2378 - Lovish Chopra, Sarthak Chakraborty, Abhijit Mondal, Sandip Chakraborty:
PARIMA: Viewport Adaptive 360-Degree Video Streaming. 2379-2391 - Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. 2392-2401
Session: Special networks and dynamics
- Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik:
Nonlinear Higher-Order Label Spreading. 2402-2413 - Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. 2414-2424 - Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. 2425-2437 - Xiaojun Ma, Junshan Wang, Hanyue Chen, Guojie Song:
Improving Graph Neural Networks with Structural Adaptive Receptive Fields. 2438-2447 - Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. 2448-2456
Session: Applications
- Honglian Wang, Peiyan Li, Wujun Tao, Bailin Feng, Junming Shao:
Learning Dynamic User Behavior Based on Error-driven Event Representation. 2457-2465 - Tingyu Xia, Yue Wang, Yuan Tian, Yi Chang:
Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks. 2466-2475 - Yunha Han, Hwiyeon Kim, Hyeshin Chu, Joohee Kim, Hyunwook Lee, Seunghyeong Choe, Dooyoung Jung, Dongil Chung, Bum Chul Kwon, Sungahn Ko:
Wait, Let's Think about Your Purchase Again: A Study on Interventions for Supporting Self-Controlled Online Purchases. 2476-2487 - Chunjong Park, Morelle Arian, Xin Liu, Leon Sasson, Jeffrey Kahn, Shwetak N. Patel, Alex Mariakakis, Tim Althoff:
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance. 2488-2500 - Ádám D. Lelkes, Vinh Q. Tran, Cong Yu:
Quiz-Style Question Generation for News Stories. 2501-2511
Session: Discovery, prediction and recommendation
- Houye Ji, Junxiong Zhu, Chuan Shi, Xiao Wang, Bai Wang, Chaoyu Zhang, Zixuan Zhu, Feng Zhang, Yanghua Li:
Large-scale Comb-K Recommendation. 2512-2523 - Bairan Fu, Wenming Zhang, Guangneng Hu, Xinyu Dai, Shujian Huang, Jiajun Chen:
Dual Side Deep Context-aware Modulation for Social Recommendation. 2524-2534 - Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah:
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. 2535-2546 - Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi:
Pathfinder Discovery Networks for Neural Message Passing. 2547-2558 - Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla:
Few-Shot Graph Learning for Molecular Property Prediction. 2559-2567
Session: Question Answering Systems
- Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua:
Multi-domain Dialogue State Tracking with Recursive Inference. 2568-2577 - Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen:
Automatic Intent-Slot Induction for Dialogue Systems. 2578-2589 - Rui Yan, Weiheng Liao, Jianwei Cui, Hailei Zhang, Yichuan Hu, Dongyan Zhao:
Multilingual COVID-QA: Learning towards Global Information Sharing via Web Question Answering in Multiple Languages. 2590-2600 - Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu, Xiaochuan Wang:
ComQA: Compositional Question Answering via Hierarchical Graph Neural Networks. 2601-2612 - Cen Chen, Chengyu Wang, Minghui Qiu, Dehong Gao, Linbo Jin, Wang Li:
Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. 2613-2623
Session: Ontologies and Knowledge Extraction
- Jiaqi Li, Xuan Wu, Chang Lu, Wenxing Deng, Yizheng Zhao:
Computing Views of OWL Ontologies for the Semantic Web. 2624-2635 - Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum:
Advanced Semantics for Commonsense Knowledge Extraction. 2636-2647 - Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, Bin He:
DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. 2648-2659 - Yu Liu, Quanming Yao, Yong Li:
Role-Aware Modeling for N-ary Relational Knowledge Bases. 2660-2671 - Vinh Nguyen, Hong Yung Yip, Olivier Bodenreider:
Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus. 2672-2683
Session: Security
- William Melicher, Clement Fung, Lujo Bauer, Limin Jia:
Towards a Lightweight, Hybrid Approach for Detecting DOM XSS Vulnerabilities with Machine Learning. 2684-2695 - Aaron Hilbig, Daniel Lehmann, Michael Pradel:
An Empirical Study of Real-World WebAssembly Binaries: Security, Languages, Use Cases. 2696-2708 - Pouyan Fotouhi Tehrani, Eric Osterweil, Jochen H. Schiller, Thomas C. Schmidt, Matthias Wählisch:
Security of Alerting Authorities in the WWW: Measuring Namespaces, DNSSEC, and Web PKI. 2709-2720 - Penghui Li, Wei Meng:
LChecker: Detecting Loose Comparison Bugs in PHP. 2721-2732 - Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee, Wenchang Shi:
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. 2733-2744
Session: User Experience
- Jack Holt, James Nicholson, Jan David Smeddinck:
From Personal Data to Digital Legacy: Exploring Conflicts in the Sharing, Security and Privacy of Post-mortem Data. 2745-2756 - Chien-Lin Tang, Jingxian Liao, Hao-Chuan Wang, Ching-Ying Sung, Wen-Chieh Lin:
ConceptGuide: Supporting Online Video Learning with Concept Map-based Recommendation of Learning Path. 2757-2768 - Sungkyu Park, Jamie Yejean Park, Hyojin Chin, Jeong-han Kang, Meeyoung Cha:
An Experimental Study to Understand User Experience and Perception Bias Occurred by Fact-checking Messages. 2769-2780 - Dragan Ahmetovic, Nahyun Kwon, Uran Oh, Cristian Bernareggi, Sergio Mascetti:
Touch Screen Exploration of Visual Artwork for Blind People. 2781-2791 - Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. 2792-2804
Session: Online Advertising and Pricing
- Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers:
Stochastic bandits for multi-platform budget optimization in online advertising. 2805-2817 - Joel Barajas, Narayan Bhamidipati:
Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs. 2818-2827 - Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores:
FM2: Field-matrixed Factorization Machines for Recommender Systems. 2828-2837 - Kirill Solovev, Nicolas Pröllochs:
Integrating Floor Plans into Hedonic Models for Rent Price Appraisal. 2838-2847 - Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao:
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. 2848-2857
Session: Search
- Keping Bi, Pavel Metrikov, Chunyuan Li, Byungki Byun:
Leveraging User Behavior History for Personalized Email Search. 2858-2868 - Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang:
Partial-Softmax Loss based Deep Hashing. 2869-2878 - Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma:
Unsupervised Multi-Index Semantic Hashing. 2879-2889 - Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. 2890-2899 - Yongxin Wang, Zhen-Duo Chen, Xin Luo, Xin-Shun Xu:
High-Dimensional Sparse Cross-Modal Hashing with Fine-Grained Similarity Embedding. 2900-2909
Session: Link prediction
- Wei Wu, Bin Li, Chuan Luo, Wolfgang Nejdl:
Hashing-Accelerated Graph Neural Networks for Link Prediction. 2910-2920 - Yingheng Wang, Yaosen Min, Xin Chen, Ji Wu:
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction. 2921-2933 - Xiangguo Sun, Hongzhi Yin, Bo Liu, Hongxu Chen, Qing Meng, Wang Han, Jiuxin Cao:
Multi-level Hyperedge Distillation for Social Linking Prediction on Sparsely Observed Networks. 2934-2945 - Ping Wang, Khushbu Agarwal, Colby Ham, Sutanay Choudhury, Chandan K. Reddy:
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks. 2946-2957 - Guozhen Zhang, Yong Li, Yuan Yuan, Fengli Xu, Hancheng Cao, Yujian Xu, Depeng Jin:
Community Value Prediction in Social E-commerce. 2958-2967
Session: Recommendations
- Cheng Hsu, Cheng-Te Li:
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation. 2968-2979 - Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin:
Disentangling User Interest and Conformity for Recommendation with Causal Embedding. 2980-2991 - Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. 2992-3001 - Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui, Xiangliang Zhang:
Graph Embedding for Recommendation against Attribute Inference Attacks. 3002-3014 - Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. 3015-3022
Session: Topic Modeling
- Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual Corpora. 3023-3031 - Tiziano Piccardi, Robert West:
Crosslingual Topic Modeling with WikiPDA. 3032-3041 - Yizhu Liu, Qi Jia, Kenny Q. Zhu:
Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries. 3042-3054 - Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie:
Graph Topic Neural Network for Document Representation. 3055-3065 - Bruno Ordozgoiti, Sachith Pai, Marta Kolczynska:
Insightful Dimensionality Reduction with Very Low Rank Variable Subsets. 3066-3075
Session: Mobile and Ubiquitous Computing
- Liang Dai, Tao Lin, Chang Liu, Bo Jiang, Yanwei Liu, Zhen Xu, Zhi-Li Zhang:
SDFVAE: Static and Dynamic Factorized VAE for Anomaly Detection of Multivariate CDN KPIs. 3076-3086 - Guangba Yu, Pengfei Chen, Hongyang Chen, Zijie Guan, Zicheng Huang, Linxiao Jing, Tianjun Weng, Xinmeng Sun, Xiaoyun Li:
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments. 3087-3098 - Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang:
Outlier-Resilient Web Service QoS Prediction. 3099-3110 - Letian Zhang, Lixing Chen, Jie Xu:
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning. 3111-3123 - Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. 3124-3135
Session: Graph Neural Networks
- Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. 3136-3145 - Jinghua Piao, Guozhen Zhang, Fengli Xu, Zhilong Chen, Yong Li:
Predicting Customer Value with Social Relationships via Motif-based Graph Attention Networks. 3146-3157 - Song Jiang, Bernard Koch, Yizhou Sun:
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. 3158-3167 - Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. 3168-3177 - An Lao, Chongyang Shi, Yayi Yang:
Rumor Detection with Field of Linear and Non-Linear Propagation. 3178-3187
Session: Personalization
- 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, Winston H. Hsu:
Situation and Behavior Understanding by Trope Detection on Films. 3188-3198 - Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. 3199-3209 - Francesco Sanna Passino, Lucas Maystre, Dmitrii Moor, Ashton Anderson, Mounia Lalmas:
Where To Next? A Dynamic Model of User Preferences. 3210-3220 - Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. 3221-3233 - Jia Xu, Ziyi Wang, Zulong Chen, Detao Lv, Yao Yu, Chuanfei Xu:
Itinerary-aware Personalized Deep Matching at Fliggy. 3234-3245
Session: Text Classification and Clustering
- Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. 3246-3257 - Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. 3258-3268 - Longqi Yang, Liangliang Zhang, Yuhua Tang:
Scalable Auto-weighted Discrete Multi-view Clustering. 3269-3278 - A. B. Siddique, Fuad T. Jamour, Vagelis Hristidis:
Linguistically-Enriched and Context-AwareZero-shot Slot Filling. 3279-3290 - Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. 3291-3304
Session: Knowledge Graph Validation
- Peiran Yao, Denilson Barbosa:
Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out. 3305-3313 - Michael Loster, Davide Mottin, Paolo Papotti, Jan Ehmüller, Benjamin Feldmann, Felix Naumann:
Few-Shot Knowledge Validation using Rules. 3314-3324 - Yuxia Geng, Jiaoyan Chen, Zhuo Chen, Jeff Z. Pan, Zhiquan Ye, Zonggang Yuan, Yantao Jia, Huajun Chen:
OntoZSL: Ontology-enhanced Zero-shot Learning. 3325-3336 - Mónica Figuera, Philipp D. Rohde, Maria-Esther Vidal:
Trav-SHACL: Efficiently Validating Networks of SHACL Constraints. 3337-3348 - Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. 3349-3358
Session: Decomposition and Detection of Anomalies and Motifs
- Yuan Yuan, Kristen M. Altenburger, Farshad Kooti:
Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests. 3359-3370 - Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi:
MStream: Fast Anomaly Detection in Multi-Aspect Streams. 3371-3382 - Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu:
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. 3383-3395 - Geon Lee, Minyoung Choe, Kijung Shin:
How Do Hyperedges Overlap in Real-World Hypergraphs? - Patterns, Measures, and Generators. 3396-3407 - Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi:
STruD: Truss Decomposition of Simplicial Complexes. 3408-3418
Session: Facts and Misinformation
- Nofar Carmeli, Xiaolan Wang, Yoshihiko Suhara, Stefanos Angelidis, Yuliang Li, Jinfeng Li, Wang-Chiew Tan:
Constructing Explainable Opinion Graphs from Reviews. 3419-3431 - Kellin Pelrine, Jacob Danovitch, Reihaneh Rabbany:
The Surprising Performance of Simple Baselines for Misinformation Detection. 3432-3441 - Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li:
MQuadE: a Unified Model for Knowledge Fact Embedding. 3442-3452 - Bin Liang, Yonghao Fu, Lin Gui, Min Yang, Jiachen Du, Yulan He, Ruifeng Xu:
Target-adaptive Graph for Cross-target Stance Detection. 3453-3464 - Xueyao Zhang, Juan Cao, Xirong Li, Qiang Sheng, Lei Zhong, Kai Shu:
Mining Dual Emotion for Fake News Detection. 3465-3476
Session: Question Answering and Text Processing
- Yu Gu, Sue Kase, Michelle Vanni, Brian M. Sadler, Percy Liang, Xifeng Yan, Yu Su:
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases. 3477-3488 - Wei Yuan, Tieke He, Xinyu Dai:
Improving Neural Question Generation using Deep Linguistic Representation. 3489-3500 - Zhiling Zhang, Kenny Q. Zhu:
Diverse and Specific Clarification Question Generation with Keywords. 3501-3511 - Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. 3512-3523 - Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li:
Multi-level Connection Enhanced Representation Learning for Script Event Prediction. 3524-3533
Session: Learning
- Yi He, Sheng Chen, Baijun Wu, Xu Yuan, Xindong Wu:
Unsupervised Lifelong Learning with Curricula. 3534-3545 - Jianming Zheng, Fei Cai, Wanyu Chen, Wengqiang Lei, Honghui Chen:
Taxonomy-aware Learning for Few-Shot Event Detection. 3546-3557 - Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang:
Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. 3558-3568 - Trong Nghia Hoang, Shenda Hong, Cao Xiao, Bryan Low, Jimeng Sun:
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings. 3569-3581 - Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. 3582-3589
Session: Adversarial Cloaking and Attacks
- Zhuoran Liu, Martha A. Larson:
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start. 3590-3602 - Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen:
Robust Android Malware Detection against Adversarial Example Attacks. 3603-3612 - Janos Szurdi, Meng Luo, Brian Kondracki, Nick Nikiforakis, Nicolas Christin:
Where are you taking me?Understanding Abusive Traffic Distribution Systems. 3613-3624 - Shahroz Tariq, Sangyup Lee, Simon S. Woo:
One Detector to Rule Them All: Towards a General Deepfake Attack Detection Framework. 3625-3637 - Chang Xu, Jun Wang, Yuqing Tang, Francisco Guzmán, Benjamin I. P. Rubinstein, Trevor Cohn:
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning. 3638-3650
Session: Graph Algorithms
- Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. 3651-3662 - Yiwei Wang, Wei Wang, Yuxuan Liang, Yujun Cai, Bryan Hooi:
Mixup for Node and Graph Classification. 3663-3674 - Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao:
Effective and Scalable Clustering on Massive Attributed Graphs. 3675-3687 - Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. 3688-3698 - Xuecheng Liu, Luoyi Fu, Xinbing Wang:
Bridging the Gap between von Neumann Graph Entropy and Structural Information: Theory and Applications. 3699-3710
Session: Text Classification
- Mohammadreza Qaraei, Erik Schultheis, Priyanshu Gupta, Rohit Babbar:
Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels. 3711-3720 - Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma:
ECLARE: Extreme Classification with Label Graph Correlations. 3721-3732 - Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma:
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. 3733-3744 - Binsheng Liu, Hamed Zamani, Xiaolu Lu, J. Shane Culpepper:
Generalizing Discriminative Retrieval Models using Generative Tasks. 3745-3756 - Jing Yao, Zhicheng Dou, Ji-Rong Wen:
FedPS: A Privacy Protection Enhanced Personalized Search Framework. 3757-3766
Session: Bias and Fairness
- Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Discrimination in Algorithms Delivering Job Ads. 3767-3778 - Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds:
Debiasing Career Recommendations with Neural Fair Collaborative Filtering. 3779-3790 - Ping Liu, Karthik Shivaram, Aron Culotta, Matthew A. Shapiro, Mustafa Bilgic:
The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms. 3791-3801 - Vijay Keswani, L. Elisa Celis:
Dialect Diversity in Text Summarization on Twitter. 3802-3814 - Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Panayiotis Tsaparas, Ilias Kleftakis, Nikos Mamoulis:
Fairness-Aware PageRank. 3815-3826
Session: Recommendations
- Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. 3827-3838 - Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Personalized Approximate Pareto-Efficient Recommendation. 3839-3849 - Azin Ghazimatin, Soumajit Pramanik, Rishiraj Saha Roy, Gerhard Weikum:
ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models. 3850-3860 - Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. 3861-3871 - Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen:
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities. 3872-3883
Session: Network Algorithms
- Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin:
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. 3884-3895 - Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. 3896-3906 - Yuchen Yan, Si Zhang, Hanghang Tong:
BRIGHT: A Bridging Algorithm for Network Alignment. 3907-3917 - Gaurav Aggarwal, Sreenivas Gollapudi, Raghavender, Ali Kemal Sinop:
Sketch-based Algorithms for Approximate Shortest Paths in Road Networks. 3918-3929 - Mingyu Xiao, Sen Huang, Yi Zhou, Bolin Ding:
Efficient Reductions and a Fast Algorithm of Maximum Weighted Independent Set. 3930-3940
Session: Auctions and Incentives
- Negin Golrezaei, Ilan Lobel, Renato Paes Leme:
Auction Design for ROI-Constrained Buyers. 3941-3952 - Gali Noti, Vasilis Syrgkanis:
Bid Prediction in Repeated Auctions with Learning. 3953-3964 - Yuan Deng, Jieming Mao, Vahab S. Mirrokni, Song Zuo:
Towards Efficient Auctions in an Auto-bidding World. 3965-3973 - Grant Schoenebeck, Fang-Yi Yu, Yichi Zhang:
Information Elicitation from Rowdy Crowds. 3974-3986 - Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Evaluating the Rationales of Amateur Investors. 3987-3998
Session: Knowledge Extraction
- Nicolas Heist, Heiko Paulheim:
Information Extraction From Co-Occurring Similar Entities. 3999-4009 - Yanzhao Zhang, Richong Zhang, Jaein Kim, Xudong Liu, Yongyi Mao:
Unsupervised Semantic Association Learning with Latent Label Inference. 4010-4019 - Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. 4020-4032 - Vinh Thinh Ho, Koninika Pal, Simon Razniewski, Klaus Berberich, Gerhard Weikum:
Extracting Contextualized Quantity Facts from Web Tables. 4033-4042 - Shimin Di, Quanming Yao, Lei Chen:
Searching to Sparsify Tensor Decomposition for N-ary Relational Data. 4043-4054
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