| 2022 | "I Have No Text in My Post": Using Visual Hints to Model User Emotions in Social Media. Junho Song, Kyungsik Han, Sang-Wook Kim |
| 2022 | "This is Fake! Shared it by Mistake": Assessing the Intent of Fake News Spreaders. Xinyi Zhou, Kai Shu, Vir V. Phoha, Huan Liu, Reza Zafarani |
| 2022 | "Way back then": A Data-driven View of 25+ years of Web Evolution. Vibhor Agarwal, Nishanth Sastry |
| 2022 | A Category-aware Multi-interest Model for Personalized Product Search. Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen |
| 2022 | A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu |
| 2022 | A Contrastive Sharing Model for Multi-Task Recommendation. Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie |
| 2022 | A Deep Markov Model for Clickstream Analytics in Online Shopping. Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel |
| 2022 | A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection. Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang |
| 2022 | A Gain-Tuning Dynamic Negative Sampler for Recommendation. Qiannan Zhu, Haobo Zhang, Qing He, Zhicheng Dou |
| 2022 | A Guided Topic-Noise Model for Short Texts. Robert Churchill, Lisa Singh, Rebecca Ryan, Pamela Davis-Kean |
| 2022 | A Meta-learning based Stress Category Detection Framework on Social Media. Xin Wang, Lei Cao, Huijun Zhang, Ling Feng, Yang Ding, Ningyun Li |
| 2022 | A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen |
| 2022 | A Multi-task Learning Framework for Product Ranking with BERT. Xuyang Wu, Alessandro Magnani, Suthee Chaidaroon, Ajit Puthenputhussery, Ciya Liao, Yi Fang |
| 2022 | A Never-Ending Project for Humanity Called "the Web". Fabien Gandon, Wendy Hall |
| 2022 | A New Dynamic Algorithm for Densest Subhypergraphs. Suman K. Bera, Sayan Bhattacharya, Jayesh Choudhari, Prantar Ghosh |
| 2022 | A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation. Zhen Wang, Dongpeng Hou, Chao Gao, Jiajin Huang, Qi Xuan |
| 2022 | A Sampling-based Learning Framework for Big Databases. Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen |
| 2022 | A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems. Tao Huang, Pengfei Chen, Ruipeng Li |
| 2022 | A View into YouTube View Fraud. Dhruv Kuchhal, Frank Li |
| 2022 | A Viral Marketing-Based Model For Opinion Dynamics in Online Social Networks. Sijing Tu, Stefan Neumann |
| 2022 | ALLIE: Active Learning on Large-scale Imbalanced Graphs. Limeng Cui, Xianfeng Tang, Sumeet Katariya, Nikhil Rao, Pallav Agrawal, Karthik Subbian, Dongwon Lee |
| 2022 | AR-BERT: Aspect-relation enhanced Aspect-level Sentiment Classification with Multi-modal Explanations. Sk Mainul Islam, Sourangshu Bhattacharya |
| 2022 | AUC-oriented Graph Neural Network for Fraud Detection. Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | Accelerating Serverless Computing by Harvesting Idle Resources. Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2022 | Accurate and Explainable Recommendation via Review Rationalization. Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu |
| 2022 | Adaptive Experimentation with Delayed Binary Feedback. Zenan Wang, Carlos Carrion, Xiliang Lin, Fuhua Ji, Yongjun Bao, Weipeng Yan |
| 2022 | Adversarial Graph Contrastive Learning with Information Regularization. Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong |
| 2022 | Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers. Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh, Animesh Mukherjee, Krishna P. Gummadi |
| 2022 | Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework. Xiaoxiao Xu, Chen Yang, Qian Yu, Zhiwei Fang, Jiaxing Wang, Chaosheng Fan, Yang He, Changping Peng, Zhangang Lin, Jingping Shao |
| 2022 | Allocating Stimulus Checks in Times of Crisis. Marios Papachristou, Jon M. Kleinberg |
| 2022 | Almost (Weighted) Proportional Allocations for Indivisible Chores✱✱. Bo Li, Yingkai Li, Xiaowei Wu |
| 2022 | Am I a Real or Fake Celebrity? Evaluating Face Recognition and Verification APIs under Deepfake Impersonation Attack. Shahroz Tariq, Sowon Jeon, Simon S. Woo |
| 2022 | AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions. Quoc-Tuan Truong, Tong Zhao, Changhe Yuan, Jin Li, Jim Chan, Soo-Min Pantel, Hady W. Lauw |
| 2022 | An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning. Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu |
| 2022 | An Empirical Investigation of Personalization Factors on TikTok. Maximilian Boeker, Aleksandra Urman |
| 2022 | An Invertible Graph Diffusion Neural Network for Source Localization. Junxiang Wang, Junji Jiang, Liang Zhao |
| 2022 | Analyzing the Differences between Professional and Amateur Esports through Win Probability. Peter Xenopoulos, William Robert Freeman, Cláudio T. Silva |
| 2022 | Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US. Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li |
| 2022 | Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng |
| 2022 | Attention-Based Vandalism Detection in OpenStreetMap. Nicolas Tempelmeier, Elena Demidova |
| 2022 | Auction Design in an Auto-bidding Setting: Randomization Improves Efficiency Beyond VCG. Aranyak Mehta |
| 2022 | Auctions between Regret-Minimizing Agents. Yoav Kolumbus, Noam Nisan |
| 2022 | Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra |
| 2022 | AutoField: Automating Feature Selection in Deep Recommender Systems. Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu |
| 2022 | BONUS! Maximizing Surprise. Zhihuan Huang, Yuqing Kong, Tracy Xiao Liu, Grant Schoenebeck, Shengwei Xu |
| 2022 | BSODA: A Bipartite Scalable Framework for Online Disease Diagnosis. Weijie He, Xiaohao Mao, Chao Ma, Yu Huang, José Miguel Hernández-Lobato, Ting Chen |
| 2022 | BZNet: Unsupervised Multi-scale Branch Zooming Network for Detecting Low-quality Deepfake Videos. Sangyup Lee, Jaeju An, Simon S. Woo |
| 2022 | Beyond Bot Detection: Combating Fraudulent Online Survey Takers✱. Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang |
| 2022 | Beyond Customer Lifetime Valuation: Measuring the Value of Acquisition and Retention for Subscription Services. Hamidreza Badri, Allen Tran |
| 2022 | Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests. Yanxin Xi, Tong Li, Huandong Wang, Yong Li, Sasu Tarkoma, Pan Hui |
| 2022 | CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting. Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash |
| 2022 | CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong |
| 2022 | CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos |
| 2022 | Calibrated Click-Through Auctions. Dirk Bergemann, Paul Dütting, Renato Paes Leme, Song Zuo |
| 2022 | Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition. Ziyi Kou, Lanyu Shang, Yang Zhang, Siyu Duan, Dong Wang |
| 2022 | Can Machine Translation be a Reasonable Alternative for Multilingual Question Answering Systems over Knowledge Graphs? Aleksandr Perevalov, Andreas Both, Dennis Diefenbach, Axel-Cyrille Ngonga Ngomo |
| 2022 | Can Small Heads Help? Understanding and Improving Multi-Task Generalization. Yuyan Wang, Zhe Zhao, Bo Dai, Christopher Fifty, Dong Lin, Lichan Hong, Li Wei, Ed H. Chi |
| 2022 | Capturing Diverse and Precise Reactions to a Comment with User-Generated Labels. Eun-Young Ko, Eunseo Choi, Jeong-woo Jang, Juho Kim |
| 2022 | CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang |
| 2022 | Causal Representation Learning for Out-of-Distribution Recommendation. Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua |
| 2022 | Characterizing, Detecting, and Predicting Online Ban Evasion. Manoj Niverthi, Gaurav Verma, Srijan Kumar |
| 2022 | Choice of Implicit Signal Matters: Accounting for User Aspirations in Podcast Recommendations. Zahra Nazari, Praveen Chandar, Ghazal Fazelnia, Catherine M. Edwards, Benjamin A. Carterette, Mounia Lalmas |
| 2022 | ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen |
| 2022 | CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning. Zhensu Sun, Xiaoning Du, Fu Song, Mingze Ni, Li Li |
| 2022 | CoSimHeat: An Effective Heat Kernel Similarity Measure Based on Billion-Scale Network Topology✱. Weiren Yu, Jian Yang, Maoyin Zhang, Di Wu |
| 2022 | Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen |
| 2022 | Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen |
| 2022 | Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing. Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu, Shangguang Wang |
| 2022 | Compact Graph Structure Learning via Mutual Information Compression. Nian Liu, Xiao Wang, Lingfei Wu, Yu Chen, Xiaojie Guo, Chuan Shi |
| 2022 | Comparative Explanations of Recommendations. Aobo Yang, Nan Wang, Renqin Cai, Hongbo Deng, Hongning Wang |
| 2022 | Compressive Sensing Approaches for Sparse Distribution Estimation Under Local Privacy. Zhongzheng Xiong, Jialin Sun, Xiaojun Mao, Jian Wang, Shan Ying, Zengfeng Huang |
| 2022 | Conditional Generation Net for Medication Recommendation. Rui Wu, Zhaopeng Qiu, Jiacheng Jiang, Guilin Qi, Xian Wu |
| 2022 | Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou |
| 2022 | Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu |
| 2022 | Conspiracy Brokers: Understanding the Monetization of YouTube Conspiracy Theories. Cameron Ballard, Ian Goldstein, Pulak Mehta, Genesis Smothers, Kejsi Take, Victoria Zhong, Rachel Greenstadt, Tobias Lauinger, Damon McCoy |
| 2022 | Construction of Large-Scale Misinformation Labeled Datasets from Social Media Discourse using Label Refinement. Karishma Sharma, Emilio Ferrara, Yan Liu |
| 2022 | Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider |
| 2022 | Context-based Collective Preference Aggregation for Prioritizing Crowd Opinions in Social Decision-making. Jiyi Li |
| 2022 | Contrastive Learning for Knowledge Tracing. Wonsung Lee, Jaeyoon Chun, Youngmin Lee, KyoungSoo Park, Sungrae Park |
| 2022 | Contrastive Learning with Positive-Negative Frame Mask for Music Representation. Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He |
| 2022 | Controlled Analyses of Social Biases in Wikipedia Bios. Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov |
| 2022 | Creating Signature-Based Views for Description Logic Ontologies with Transitivity and Qualified Number Restrictions. Yue Xiang, Xuan Wu, Chang Lu, Yizheng Zhao |
| 2022 | Cross DQN: Cross Deep Q Network for Ads Allocation in Feed. Guogang Liao, Ze Wang, Xiaoxu Wu, Xiaowen Shi, Chuheng Zhang, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2022 | Cross Pairwise Ranking for Unbiased Item Recommendation. Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang |
| 2022 | Cross-modal Ambiguity Learning for Multimodal Fake News Detection. Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Tun Lu, Li Shang |
| 2022 | Curvature Graph Generative Adversarial Networks. Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng |
| 2022 | CycleNER: An Unsupervised Training Approach for Named Entity Recognition. Andrea Iovine, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2022 | DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders. Benjamin Weggenmann, Valentin Rublack, Michael Andrejczuk, Justus Mattern, Florian Kerschbaum |
| 2022 | DREW: Efficient Winograd CNN Inference with Deep Reuse. Ruofan Wu, Feng Zhang, Jiawei Guan, Zhen Zheng, Xiaoyong Du, Xipeng Shen |
| 2022 | DUET: A Generic Framework for Finding Special Quadratic Elements in Data Streams. Jiaqian Liu, Haipeng Dai, Rui Xia, Meng Li, Ran Ben Basat, Rui Li, Guihai Chen |
| 2022 | Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation. Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li |
| 2022 | Deep Unified Representation for Heterogeneous Recommendation. Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang |
| 2022 | Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective. Lanning Wei, Huan Zhao, Zhiqiang He |
| 2022 | Detecting False Rumors from Retweet Dynamics on Social Media. Christof Naumzik, Stefan Feuerriegel |
| 2022 | Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation. Chaochao Chen, Huiwen Wu, Jiajie Su, Lingjuan Lyu, Xiaolin Zheng, Li Wang |
| 2022 | DiriE: Knowledge Graph Embedding with Dirichlet Distribution. Feiyang Wang, Zhongbao Zhang, Li Sun, Junda Ye, Yang Yan |
| 2022 | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2022 | Disentangling Long and Short-Term Interests for Recommendation. Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li |
| 2022 | Distributional Contrastive Embedding for Clarification-based Conversational Critiquing. Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner |
| 2022 | Distributionally-robust Recommendations for Improving Worst-case User Experience. Hongyi Wen, Xinyang Yi, Tiansheng Yao, Jiaxi Tang, Lichan Hong, Ed H. Chi |
| 2022 | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | Domain Adaptive Fake News Detection via Reinforcement Learning. Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu |
| 2022 | DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo |
| 2022 | Dual Space Graph Contrastive Learning. Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu |
| 2022 | Dual-branch Density Ratio Estimation for Signed Network Embedding. Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu |
| 2022 | Dynamic Gaussian Embedding of Authors. Antoine Gourru, Julien Velcin, Christophe Gravier, Julien Jacques |
| 2022 | EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li |
| 2022 | ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification. Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu |
| 2022 | EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting. Sheo Yon Jhin, Jaehoon Lee, Minju Jo, Seungji Kook, Jinsung Jeon, Jihyeon Hyeong, Jayoung Kim, Noseong Park |
| 2022 | Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi |
| 2022 | Effective Messaging on Social Media: What Makes Online Content Go Viral? Maryam Mousavi, Hasan Davulcu, Mohsen Ahmadi, Robert Axelrod, Richard Davis, Scott Atran |
| 2022 | Efficient Neural Ranking using Forward Indexes. Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand |
| 2022 | Efficient Online Learning to Rank for Sequential Music Recommendation. Pedro Dalla Vecchia Chaves, Bruno L. Pereira, Rodrygo L. T. Santos |
| 2022 | Efficient and Effective Similarity Search over Bipartite Graphs. Renchi Yang |
| 2022 | Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction. Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv |
| 2022 | Emotion Bubbles: Emotional Composition of Online Discourse Before and After the COVID-19 Outbreak. Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha |
| 2022 | End-to-End Learning for Fair Ranking Systems. James Kotary, Ferdinando Fioretto, Pascal Van Hentenryck, Ziwei Zhu |
| 2022 | Enhancing Knowledge Bases with Quantity Facts. Vinh Thinh Ho, Daria Stepanova, Dragan Milchevski, Jannik Strötgen, Gerhard Weikum |
| 2022 | Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon |
| 2022 | Equilibria in Auctions with Ad Types. Hadi Elzayn, Riccardo Colini-Baldeschi, Brian Lan, Okke Schrijvers |
| 2022 | Et tu, Brute? Privacy Analysis of Government Websites and Mobile Apps. Nayanamana Samarasinghe, Aashish Adhikari, Mohammad Mannan, Amr M. Youssef |
| 2022 | EventBERT: A Pre-Trained Model for Event Correlation Reasoning. Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang |
| 2022 | Evidence-aware Fake News Detection with Graph Neural Networks. Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang |
| 2022 | EvidenceNet: Evidence Fusion Network for Fact Verification. Zhendong Chen, Siu Cheung Hui, Fuzhen Zhuang, Lejian Liao, Fei Li, Meihuizi Jia, Jiaqi Li |
| 2022 | EvoLearner: Learning Description Logics with Evolutionary Algorithms. Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo |
| 2022 | ExpScore: Learning Metrics for Recommendation Explanation. Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah |
| 2022 | Explainable Neural Rule Learning. Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang |
| 2022 | Exploring Edge Disentanglement for Node Classification. Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2022 | Exposing Query Identification for Search Transparency. Ruohan Li, Jianxiang Li, Bhaskar Mitra, Fernando Diaz, Asia J. Biega |
| 2022 | FIRE: Fast Incremental Recommendation with Graph Signal Processing. Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu |
| 2022 | Fair k-Center Clustering in MapReduce and Streaming Settings. Suman K. Bera, Syamantak Das, Sainyam Galhotra, Sagar Sudhir Kale |
| 2022 | FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback. Jie Li, Yongli Ren, Ke Deng |
| 2022 | Fairness Audit of Machine Learning Models with Confidential Computing. Saerom Park, Seongmin Kim, Yeon-Sup Lim |
| 2022 | Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen |
| 2022 | FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao |
| 2022 | Federated SPARQL Query Processing over Heterogeneous Linked Data Fragments. Lars Heling, Maribel Acosta |
| 2022 | Federated Unlearning via Class-Discriminative Pruning. Junxiao Wang, Song Guo, Xin Xie, Heng Qi |
| 2022 | FeedRec: News Feed Recommendation with Various User Feedbacks. Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie |
| 2022 | Filter-enhanced MLP is All You Need for Sequential Recommendation. Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen |
| 2022 | FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi |
| 2022 | FirmCore Decomposition of Multilayer Networks. Farnoosh Hashemi, Ali Behrouz, Laks V. S. Lakshmanan |
| 2022 | Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing. Liekang Zeng, Peng Huang, Ke Luo, Xiaoxi Zhang, Zhi Zhou, Xu Chen |
| 2022 | Following Good Examples - Health Goal-Oriented Food Recommendation based on Behavior Data. Yabo Ling, Jian-Yun Nie, Daiva Nielsen, Bärbel Knäuper, Nathan Yang, Laurette Dubé |
| 2022 | Fostering Engagement of Underserved Communities with Credible Health Information on Social Media. Agha Ali Raza, Mustafa Naseem, Namoos Hayat Qasmi, Shan Randhawa, Fizzah Malik, Behzad Taimur, Sacha St-Onge Ahmad, Sarojini Hirshleifer, Arman Rezaee, Aditya Vashistha |
| 2022 | FreSCo: Mining Frequent Patterns in Simplicial Complexes. Giulia Preti, Gianmarco De Francisci Morales, Francesco Bonchi |
| 2022 | From Indymedia to Tahrir Square: The Revolutionary Origins of Status Updates on Twitter. Harry Halpin, Evan Henshaw-Plath |
| 2022 | GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang |
| 2022 | GRAND+: Scalable Graph Random Neural Networks. Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang |
| 2022 | GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. Chunyu Wei, Bing Bai, Kun Bai, Fei Wang |
| 2022 | Game of Hide-and-Seek: Exposing Hidden Interfaces in Embedded Web Applications of IoT Devices. Wei Xie, Jiongyi Chen, Zhenhua Wang, Chao Feng, Enze Wang, Yifei Gao, Baosheng Wang, Kai Lu |
| 2022 | Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data. Luyu Qiu, Yi Yang, Caleb Chen Cao, Yueyuan Zheng, Hilary Hei Ting Ngai, Janet Hui-wen Hsiao, Lei Chen |
| 2022 | Generating Simple Directed Social Network Graphs for Information Spreading. Christoph Schweimer, Christine Gfrerer, Florian Lugstein, David Pape, Jan A. Velimsky, Robert Elsässer, Bernhard C. Geiger |
| 2022 | Generative Session-based Recommendation. Zhidan Wang, Wenwen Ye, Xu Chen, Wenqiang Zhang, Zhenlei Wang, Lixin Zou, Weidong Liu |
| 2022 | Genre-Controllable Story Generation via Supervised Contrastive Learning. Jin-Uk Cho, Min-Su Jeong, JinYeong Bak, Yun-Gyung Cheong |
| 2022 | Geometric Graph Representation Learning via Maximizing Rate Reduction. Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu |
| 2022 | Geospatial Entity Resolution. Pasquale Balsebre, Dezhong Yao, Gao Cong, Zhen Hai |
| 2022 | Global or Local: Constructing Personalized Click Models for Web Search. Junqi Zhang, Yiqun Liu, Jiaxin Mao, Xiaohui Xie, Min Zhang, Shaoping Ma, Qi Tian |
| 2022 | Graph Alignment with Noisy Supervision. Shichao Pei, Lu Yu, Guoxian Yu, Xiangliang Zhang |
| 2022 | Graph Communal Contrastive Learning. Bolian Li, Baoyu Jing, Hanghang Tong |
| 2022 | Graph Neural Network for Higher-Order Dependency Networks. Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang |
| 2022 | Graph Neural Networks Beyond Compromise Between Attribute and Topology. Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He |
| 2022 | Graph Neural Transport Networks with Non-local Attentions for Recommender Systems. Huiyuan Chen, Chin-Chia Michael Yeh, Fei Wang, Hao Yang |
| 2022 | Graph Sanitation with Application to Node Classification. Zhe Xu, Boxin Du, Hanghang Tong |
| 2022 | Graph-adaptive Rectified Linear Unit for Graph Neural Networks. Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King |
| 2022 | Graph-based Extractive Explainer for Recommendations. Peng Wang, Renqin Cai, Hongning Wang |
| 2022 | GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates. Vibhor Agarwal, Sagar Joglekar, Anthony P. Young, Nishanth Sastry |
| 2022 | H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections. Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu |
| 2022 | HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King |
| 2022 | Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity. Kirill Solovev, Nicolas Pröllochs |
| 2022 | HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs. Seongil Wi, Sijae Woo, Joyce Jiyoung Whang, Sooel Son |
| 2022 | How Do Mothers and Fathers Talk About Parenting to Different Audiences?: Stereotypes and Audience Effects: An Analysis of r/Daddit, r/Mommit, and r/Parenting Using Topic Modelling. Melody Sepahpour-Fard, Michael Quayle |
| 2022 | How Misinformation Density Affects Health Information Search. Qiurong Song, Jiepu Jiang |
| 2022 | How the Web Will Shape the Hybrid Work Era: Keynote Talk. Jaime Teevan |
| 2022 | Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval. Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu |
| 2022 | Hypercomplex Graph Collaborative Filtering. Anchen Li, Bo Yang, Huan Huo, Farookh Khadeer Hussain |
| 2022 | IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He |
| 2022 | Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn |
| 2022 | Identifying the Adoption or Rejection of Misinformation Targeting COVID-19 Vaccines in Twitter Discourse. Maxwell A. Weinzierl, Sanda M. Harabagiu |
| 2022 | Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads. Kaifu Zheng, Lu Wang, Yu Li, Xusong Chen, Hu Liu, Jing Lu, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao |
| 2022 | Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao |
| 2022 | Inflation Improves Graph Neural Networks. Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang |
| 2022 | Intent Contrastive Learning for Sequential Recommendation. Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong |
| 2022 | Interference, Bias, and Variance in Two-Sided Marketplace Experimentation: Guidance for Platforms. Hannah Li, Geng Zhao, Ramesh Johari, Gabriel Y. Weintraub |
| 2022 | Interpreting BERT-based Text Similarity via Activation and Saliency Maps. Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein |
| 2022 | Investigating Advertisers' Domain-changing Behaviors and Their Impacts on Ad-blocker Filter Lists. Su-Chin Lin, Kai-Hsiang Chou, Yen Chen, Hsu-Chun Hsiao, Darion Cassel, Lujo Bauer, Limin Jia |
| 2022 | Is Least-Squares Inaccurate in Fitting Power-Law Distributions? The Criticism is Complete Nonsense. Xiaoshi Zhong, Muyin Wang, Hongkun Zhang |
| 2022 | Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection. Maryam Sadat Mirzaei, Kourosh Meshgi, Satoshi Sekine |
| 2022 | Jettisoning Junk Messaging in the Era of End-to-End Encryption: A Case Study of WhatsApp. Pushkal Agarwal, Aravindh Raman, Damilola Ibosiola, Nishanth Sastry, Gareth Tyson, Kiran Garimella |
| 2022 | KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | Knowledge Enhanced GAN for IoT Traffic Generation. Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li |
| 2022 | Knowledge Graph Reasoning with Relational Digraph. Yongqi Zhang, Quanming Yao |
| 2022 | Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li |
| 2022 | Knowledge-based Temporal Fusion Network for Interpretable Online Video Popularity Prediction. Shisong Tang, Qing Li, Xiaoteng Ma, Ci Gao, Dingmin Wang, Yong Jiang, Qian Ma, Aoyang Zhang, Hechang Chen |
| 2022 | KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han |
| 2022 | LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang |
| 2022 | Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu |
| 2022 | Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu |
| 2022 | Learning Explicit User Interest Boundary for Recommendation. Jianhuan Zhuo, Qiannan Zhu, Yinliang Yue, Yuhong Zhao |
| 2022 | Learning Neural Ranking Models Online from Implicit User Feedback. Yiling Jia, Hongning Wang |
| 2022 | Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes. Hui Hu, Lu Cheng, Jayden Parker Vap, Mike Borowczak |
| 2022 | Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen |
| 2022 | Learning Recommenders for Implicit Feedback with Importance Resampling. Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen |
| 2022 | Learning Robust Recommenders through Cross-Model Agreement. Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He |
| 2022 | Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang |
| 2022 | Learning the Markov Order of Paths in Graphs. Luka V. Petrovic, Ingo Scholtes |
| 2022 | Learning to Augment for Casual User Recommendation. Jianling Wang, Ya Le, Bo Chang, Yuyan Wang, Ed H. Chi, Minmin Chen |
| 2022 | Learning-based Fuzzy Bitrate Matching at the Edge for Adaptive Video Streaming. Wanxin Shi, Qing Li, Chao Wang, Longhao Zou, Gengbiao Shen, Pei Zhang, Yong Jiang |
| 2022 | Left or Right: A Peek into the Political Biases in Email Spam Filtering Algorithms During US Election 2020. Hassan Iqbal, Usman Mahmood Khan, Hassan Ali Khan, Muhammad Shahzad |
| 2022 | Lessons from the AdKDD'21 Privacy-Preserving ML Challenge. Eustache Diemert, Romain Fabre, Alexandre Gilotte, Fei Jia, Basile Leparmentier, Jérémie Mary, Zhonghua Qu, Ugo Tanielian, Hui Yang |
| 2022 | Leveraging Google's Publisher-Specific IDs to Detect Website Administration. Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis |
| 2022 | Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit. Guosheng Xu, Siyi Li, Hao Zhou, Shucen Liu, Yutian Tang, Li Li, Xiapu Luo, Xusheng Xiao, Guoai Xu, Haoyu Wang |
| 2022 | Lightning Fast and Space Efficient k-clique Counting. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang |
| 2022 | Link Recommendations for PageRank Fairness. Sotiris Tsioutsiouliklis, Evaggelia Pitoura, Konstantinos Semertzidis, Panayiotis Tsaparas |
| 2022 | Link: Black-Box Detection of Cross-Site Scripting Vulnerabilities Using Reinforcement Learning. Soyoung Lee, Seongil Wi, Sooel Son |
| 2022 | Listing Maximal k-Plexes in Large Real-World Graphs. Zhengren Wang, Yi Zhou, Mingyu Xiao, Bakhadyr Khoussainov |
| 2022 | LocFedMix-SL: Localize, Federate, and Mix for Improved Scalability, Convergence, and Latency in Split Learning. Seungeun Oh, Jihong Park, Praneeth Vepakomma, Sihun Baek, Ramesh Raskar, Mehdi Bennis, Seong-Lyun Kim |
| 2022 | MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration. Siguang Huang, Yunli Wang, Lili Mou, Huayue Zhang, Han Zhu, Chuan Yu, Bo Zheng |
| 2022 | MCL: Mixed-Centric Loss for Collaborative Filtering. Zhaolin Gao, Zhaoyue Cheng, Felipe Pérez, Jianing Sun, Maksims Volkovs |
| 2022 | MINDSim: User Simulator for News Recommenders. Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li |
| 2022 | MagNet: Cooperative Edge Caching by Automatic Content Congregating. Junkun Peng, Qing Li, Xiaoteng Ma, Yong Jiang, Yutao Dong, Chuang Hu, Meng Chen |
| 2022 | Making Decision like Human: Joint Aspect Category Sentiment Analysis and Rating Prediction with Fine-to-Coarse Reasoning. Hao Fei, Jingye Li, Yafeng Ren, Meishan Zhang, Donghong Ji |
| 2022 | Massive Text Normalization via an Efficient Randomized Algorithm. Nan Jiang, Chen Luo, Vihan Lakshman, Yesh Dattatreya, Yexiang Xue |
| 2022 | Measuring Alexa Skill Privacy Practices across Three Years. Jide S. Edu, Xavier Ferrer Aran, Jose M. Such, Guillermo Suarez-Tangil |
| 2022 | Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks. Alexander Braylan, Omar Alonso, Matthew Lease |
| 2022 | Measuring the Privacy vs. Compatibility Trade-off in Preventing Third-Party Stateful Tracking. Jordan Jueckstock, Peter Snyder, Shaown Sarker, Alexandros Kapravelos, Benjamin Livshits |
| 2022 | MemStream: Memory-Based Streaming Anomaly Detection. Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi |
| 2022 | Meta-Learning Helps Personalized Product Search. Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2022 | Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang |
| 2022 | MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee |
| 2022 | Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han |
| 2022 | MiDaS: Representative Sampling from Real-world Hypergraphs. Minyoung Choe, Jaemin Yoo, Geon Lee, Woonsung Baek, U Kang, Kijung Shin |
| 2022 | Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. Teng-Yue Han, Pengfei Wang, Shaozhang Niu, Chenliang Li |
| 2022 | Model-Agnostic Augmentation for Accurate Graph Classification. Jaemin Yoo, Sooyeon Shim, U Kang |
| 2022 | Modeling Inter Round Attack of Online Debaters for Winner Prediction. Fa-Hsuan Hsiao, An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen |
| 2022 | Modeling User Behavior with Graph Convolution for Personalized Product Search. Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang |
| 2022 | Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training. Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson, Gaogang Xie |
| 2022 | Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media. Kirill Solovev, Nicolas Pröllochs |
| 2022 | Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing. Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas |
| 2022 | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian |
| 2022 | Multi-dimensional Probabilistic Regression over Imprecise Data Streams. Ran Gao, Xike Xie, Kai Zou, Torben Bach Pedersen |
| 2022 | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie |
| 2022 | Multimodal Continual Graph Learning with Neural Architecture Search. Jie Cai, Xin Wang, Chaoyu Guan, Yateng Tang, Jin Xu, Bin Zhong, Wenwu Zhu |
| 2022 | Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation. Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei |
| 2022 | Mutually-Regularized Dual Collaborative Variational Auto-encoder for Recommendation Systems. Yaochen Zhu, Zhenzhong Chen |
| 2022 | Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions. Xiaotie Deng, Xinyan Hu, Tao Lin, Weiqiang Zheng |
| 2022 | Nebula: Reliable Low-latency Video Transmission for Mobile Cloud Gaming. Ahmad Yousef Alhilal, Tristan Braud, Bo Han, Pan Hui |
| 2022 | Neural Predicting Higher-order Patterns in Temporal Networks. Yunyu Liu, Jianzhu Ma, Pan Li |
| 2022 | Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation. Wei Zhang, Junbing Yan, Zhuo Wang, Jianyong Wang |
| 2022 | Not All Layers Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training. Yun-Yong Ko, Dongwon Lee, Sang-Wook Kim |
| 2022 | OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han |
| 2022 | ONBRA: Rigorous Estimation of the Temporal Betweenness Centrality in Temporal Networks. Diego Santoro, Ilie Sarpe |
| 2022 | Off-policy Learning over Heterogeneous Information for Recommendation. Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu |
| 2022 | OffDQ: An Offline Deep Learning Framework for QoS Prediction. Soumi Chattopadhyay, Richik Chanda, Suraj Kumar, Chandranath Adak |
| 2022 | On Designing a Two-stage Auction for Online Advertising. Yiqing Wang, Xiangyu Liu, Zhenzhe Zheng, Zhilin Zhang, Miao Xu, Chuan Yu, Fan Wu |
| 2022 | On Explaining Multimodal Hateful Meme Detection Models. Ming Shan Hee, Roy Ka-Wei Lee, Wen-Haw Chong |
| 2022 | On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun |
| 2022 | On The Origins Of Hypertext In The Disasters Of The Short 20th Century. Mark Bernstein |
| 2022 | Ontology-enhanced Prompt-tuning for Few-shot Learning. Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen |
| 2022 | Optimal Collaterals in Multi-Enterprise Investment Networks. Moshe Babaioff, Yoav Kolumbus, Eyal Winter |
| 2022 | Optimizing Rankings for Recommendation in Matching Markets. Yi Su, Magd Bayoumi, Thorsten Joachims |
| 2022 | Outlier Detection for Streaming Task Assignment in Crowdsourcing. Yan Zhao, Xuanhao Chen, Liwei Deng, Tung Kieu, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen |
| 2022 | PNMTA: A Pretrained Network Modulation and Task Adaptation Approach for User Cold-Start Recommendation. Haoyu Pang, Fausto Giunchiglia, Ximing Li, Renchu Guan, Xiaoyue Feng |
| 2022 | PaSca: A Graph Neural Architecture Search System under the Scalable Paradigm. Wentao Zhang, Yu Shen, Zheyu Lin, Yang Li, Xiaosen Li, Wen Ouyang, Yangyu Tao, Zhi Yang, Bin Cui |
| 2022 | ParClick: A Scalable Algorithm for EM-based Click Models. Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu |
| 2022 | Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang |
| 2022 | Polarized Graph Neural Networks. Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang |
| 2022 | PopNet: Real-Time Population-Level Disease Prediction with Data Latency. Junyi Gao, Cao Xiao, Lucas M. Glass, Jimeng Sun |
| 2022 | Preferences on a Budget: Prioritizing Document Pairs when Crowdsourcing Relevance Judgments. Kevin Roitero, Alessandro Checco, Stefano Mizzaro, Gianluca Demartini |
| 2022 | Price Manipulability in First-Price Auctions. Johannes Brustle, Paul Dütting, Balasubramanian Sivan |
| 2022 | Privacy-Preserving Fair Learning of Support Vector Machine with Homomorphic Encryption. Saerom Park, Junyoung Byun, Joohee Lee |
| 2022 | Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie |
| 2022 | Prohibited Item Detection via Risk Graph Structure Learning. Yugang Ji, Guanyi Chu, Xiao Wang, Chuan Shi, Jianan Zhao, Junping Du |
| 2022 | Prototype Feature Extraction for Multi-task Learning. Shen Xin, Yuhang Jiao, Cheng Long, Yuguang Wang, Xiaowei Wang, Sen Yang, Ji Liu, Jie Zhang |
| 2022 | Pyramid: Enabling Hierarchical Neural Networks with Edge Computing. Qiang He, Zeqian Dong, Feifei Chen, Shuiguang Deng, Weifa Liang, Yun Yang |
| 2022 | QCluster: Clustering Packets for Flow Scheduling. Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, Nicholas Zhang |
| 2022 | QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2022 | QLUE: A Computer Vision Tool for Uniform Qualitative Evaluation of Web Pages. Waleed Hashmi, Moumena Chaqfeh, Lakshminarayanan Subramanian, Yasir Zaki |
| 2022 | RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher |
| 2022 | Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng |
| 2022 | RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong |
| 2022 | Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu |
| 2022 | Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. Agathe Balayn, Gaole He, Andrea Hu, Jie Yang, Ujwal Gadiraju |
| 2022 | Recommendation Unlearning. Chong Chen, Fei Sun, Min Zhang, Bolin Ding |
| 2022 | Regulating Online Political Advertising. Eray Turkel |
| 2022 | Regulatory Instruments for Fair Personalized Pricing. Renzhe Xu, Xingxuan Zhang, Peng Cui, Bo Li, Zheyan Shen, Jiazheng Xu |
| 2022 | Reproducibility and Replicability of Web Measurement Studies. Nurullah Demir, Matteo Große-Kampmann, Tobias Urban, Christian Wressnegger, Thorsten Holz, Norbert Pohlmann |
| 2022 | Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling. Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Sanglu Lu |
| 2022 | Responsible AI: From Principles To Action: Keynote Talk. Virginia Dignum |
| 2022 | Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu |
| 2022 | Revisiting Email Forwarding Security under the Authenticated Received Chain Protocol. Chenkai Wang, Gang Wang |
| 2022 | Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network. Ye Tao, Ying Li, Su Zhang, Zhirong Hou, Zhonghai Wu |
| 2022 | Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis |
| 2022 | Robust Self-Supervised Structural Graph Neural Network for Social Network Prediction. Yanfu Zhang, Hongchang Gao, Jian Pei, Heng Huang |
| 2022 | Robust System Instance Clustering for Large-Scale Web Services. Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun, Yinlong Liu |
| 2022 | Rumor Detection on Social Media with Graph Adversarial Contrastive Learning. Tiening Sun, Zhong Qian, Sujun Dong, Peifeng Li, Qiaoming Zhu |
| 2022 | SATMargin: Practical Maximal Frequent Subgraph Mining via Margin Space Sampling. Muyi Liu, Pan Li |
| 2022 | STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang |
| 2022 | Scheduling Virtual Conferences Fairly: Achieving Equitable Participant and Speaker Satisfaction. Gourab K. Patro, Prithwish Jana, Abhijnan Chakraborty, Krishna P. Gummadi, Niloy Ganguly |
| 2022 | Screenshots, Symbols, and Personal Thoughts: The Role of Instagram for Social Activism. Ehsan ul Haq, Tristan Braud, Yui-Pan Yau, Lik-Hang Lee, Franziska B. Keller, Pan Hui |
| 2022 | Search Engines: From the Lab to the Engine Room, and Back: Keynote Talk. Prabhakar Raghavan |
| 2022 | Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France. Sachit Mishra, Zbigniew Smoreda, Marco Fiore |
| 2022 | Seesaw Counting Filter: An Efficient Guardian for Vulnerable Negative Keys During Dynamic Filtering. Meng Li, Deyi Chen, Haipeng Dai, Rongbiao Xie, Siqiang Luo, Rong Gu, Tong Yang, Guihai Chen |
| 2022 | SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang |
| 2022 | Semi-Siamese Bi-encoder Neural Ranking Model Using Lightweight Fine-Tuning. Euna Jung, Jaekeol Choi, Wonjong Rhee |
| 2022 | Sequential Recommendation via Stochastic Self-Attention. Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu |
| 2022 | Sequential Recommendation with Decomposed Item Feature Routing. Kun Lin, Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen |
| 2022 | Significance and Coverage in Group Testing on the Social Web. Nassim Bouarour, Idir Benouaret, Sihem Amer-Yahia |
| 2022 | SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li |
| 2022 | Similarity-based Multi-Domain Dialogue State Tracking with Copy Mechanisms for Task-based Virtual Personal Assistants. Jarana Manotumruksa, Jeffrey Dalton, Edgar Meij, Emine Yilmaz |
| 2022 | Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning. Thai Le, Long Tran-Thanh, Dongwon Lee |
| 2022 | Socialformer: Social Network Inspired Long Document Modeling for Document Ranking. Yujia Zhou, Zhicheng Dou, Huaying Yuan, Zhengyi Ma |
| 2022 | Socially-Equitable Interactive Graph Information Fusion-based Prediction for Urban Dockless E-Scooter Sharing. Suining He, Kang G. Shin |
| 2022 | Stochastic-Expert Variational Autoencoder for Collaborative Filtering. Yoon-Sik Cho, Min-hwan Oh |
| 2022 | StruBERT: Structure-aware BERT for Table Search and Matching. Mohamed Trabelsi, Zhiyu Chen, Shuo Zhang, Brian D. Davison, Jeff Heflin |
| 2022 | Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling. Lingzhi Wang, Jing Li, Xingshan Zeng, Kam-Fai Wong |
| 2022 | Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. Kai Wang, Yu Liu, Quan Z. Sheng |
| 2022 | TRACE: A Fast Transformer-based General-Purpose Lossless Compressor. Yu Mao, Yufei Cui, Tei-Wei Kuo, Chun Jason Xue |
| 2022 | TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. Zhihao Wen, Yuan Fang |
| 2022 | TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection. Sijia Li, Gaopeng Gou, Chang Liu, Chengshang Hou, Zhenzhen Li, Gang Xiong |
| 2022 | TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu |
| 2022 | TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations. Minhao Jiang, Xiangchen Song, Jieyu Zhang, Jiawei Han |
| 2022 | Temporal Walk Centrality: Ranking Nodes in Evolving Networks. Lutz Oettershagen, Petra Mutzel, Nils M. Kriege |
| 2022 | The Case of SPARQL UNION, FILTER and DISTINCT. Medha Atre |
| 2022 | The Impact of Twitter Labels on Misinformation Spread and User Engagement: Lessons from Trump's Election Tweets. Orestis Papakyriakopoulos, Ellen P. Goodmann |
| 2022 | The Influences of Task Design on Crowdsourced Judgement: A Case Study of Recidivism Risk Evaluation. Xiaoni Duan, Chien-Ju Ho, Ming Yin |
| 2022 | The Parity Ray Regularizer for Pacing in Auction Markets. Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer, Eric Sodomka |
| 2022 | The Price to Play: A Privacy Analysis of Free and Paid Games in the Android Ecosystem. Pierre Laperdrix, Naif Mehanna, Antonin Durey, Walter Rudametkin |
| 2022 | This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign. Abraham Israeli, Alexander Kremiansky, Oren Tsur |
| 2022 | Through the Lens of the Web Conference Series: A Look Into the History of the Web. Damien Graux, Fabrizio Orlandi |
| 2022 | Time-aware Entity Alignment using Temporal Relational Attention. Chengjin Xu, Fenglong Su, Bo Xiong, Jens Lehmann |
| 2022 | To Trust or Not To Trust: How a Conversational Interface Affects Trust in a Decision Support System. Akshit Gupta, Debadeep Basu, Ramya Ghantasala, Sihang Qiu, Ujwal Gadiraju |
| 2022 | Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations. Yu Meng, Yunyi Zhang, Jiaxin Huang, Yu Zhang, Jiawei Han |
| 2022 | Topological Transduction for Hybrid Few-shot Learning. Jiayi Chen, Aidong Zhang |
| 2022 | Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen |
| 2022 | Towards Unsupervised Deep Graph Structure Learning. Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan |
| 2022 | Towards a Better Understanding of Human Reading Comprehension with Brain Signals. Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuesong Chen, Min Zhang, Shaoping Ma |
| 2022 | Towards a Multi-View Attentive Matching for Personalized Expert Finding. Qiyao Peng, Hongtao Liu, Yinghui Wang, Hongyan Xu, Pengfei Jiao, Minglai Shao, Wenjun Wang |
| 2022 | Towards an Interpretable Approach to Classify and Summarize Crisis Events from Microblogs. Thi Huyen Nguyen, Koustav Rudra |
| 2022 | Translating Place-Related Questions to GeoSPARQL Queries. Ehsan Hamzei, Martin Tomko, Stephan Winter |
| 2022 | Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data. Jiacheng Huang, Yao Zhao, Wei Hu, Zhen Ning, Qijin Chen, Xiaoxia Qiu, Chengfu Huo, Weijun Ren |
| 2022 | Truthful Online Scheduling of Cloud Workloads under Uncertainty. Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong |
| 2022 | UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | Unbiased Graph Embedding with Biased Graph Observations. Nan Wang, Lu Lin, Jundong Li, Hongning Wang |
| 2022 | Unbiased Sequential Recommendation with Latent Confounders. Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen |
| 2022 | Uncertainty-aware Pseudo Label Refinery for Entity Alignment. Jia Li, Dandan Song |
| 2022 | Understanding Conflicts in Online Conversations. Sharon Levy, Robert E. Kraut, Jane A. Yu, Kristen M. Altenburger, Yi-Chia Wang |
| 2022 | Understanding the Practice of Security Patch Management across Multiple Branches in OSS Projects. Xin Tan, Yuan Zhang, Jiajun Cao, Kun Sun, Mi Zhang, Min Yang |
| 2022 | Unfreeze with Care: Space-Efficient Fine-Tuning of Semantic Parsing Models. Weiqi Sun, Haidar Khan, Nicolas Guenon des Mesnards, Melanie Rubino, Konstantine Arkoudas |
| 2022 | UniParser: A Unified Log Parser for Heterogeneous Log Data. Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | Unified Question Generation with Continual Lifelong Learning. Wei Yuan, Hongzhi Yin, Tieke He, Tong Chen, Qiufeng Wang, Lizhen Cui |
| 2022 | Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation. Sixiao Zhang, Hongxu Chen, Xiangguo Sun, Yicong Li, Guandong Xu |
| 2022 | Unsupervised Representation Learning of Player Behavioral Data with Confidence Guided Masking. Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Jianrong Tao, Xudong Shen, Yue Shang, Runze Wu |
| 2022 | User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. Yang Deng, Wenxuan Zhang, Wai Lam, Hong Cheng, Helen Meng |
| 2022 | Using Survival Models to Estimate User Engagement in Online Experiments. Praveen Chandar, Brian St. Thomas, Lucas Maystre, Vijay Pappu, Roberto Sanchis-Ojeda, Tiffany Wu, Ben Carterette, Mounia Lalmas, Tony Jebara |
| 2022 | Using Web Data to Reveal 22-Year History of Sneaker Designs. Sungkyu Park, Hyeonho Song, Sungwon Han, Berhane Weldegebriel, Lev Manovich, Emanuele Arielli, Meeyoung Cha |
| 2022 | VICTOR: An Implicit Approach to Mitigate Misinformation via Continuous Verification Reading. Kuan-Chieh Lo, Shih-Chieh Dai, Aiping Xiong, Jing Jiang, Lun-Wei Ku |
| 2022 | Veracity-aware and Event-driven Personalized News Recommendation for Fake News Mitigation. Shoujin Wang, Xiaofei Xu, Xiuzhen Zhang, Yan Wang, Wenzhuo Song |
| 2022 | Verba Volant, Scripta Volant: Understanding Post-publication Title Changes in News Outlets. Xingzhi Guo, Brian Kondracki, Nick Nikiforakis, Steven Skiena |
| 2022 | VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh |
| 2022 | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, Lionel Médini |
| 2022 | WebFormer: The Web-page Transformer for Structure Information Extraction. Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu |
| 2022 | What Does Perception Bias on Social Networks Tell Us About Friend Count Satisfaction? Shen Yan, Kristen M. Altenburger, Yi-Chia Wang, Justin Cheng |
| 2022 | What Should You Know? A Human-In-the-Loop Approach to Unknown Unknowns Characterization in Image Recognition. Shahin Sharifi Noorian, Sihang Qiu, Ujwal Gadiraju, Jie Yang, Alessandro Bozzon |
| 2022 | What's in an Index: Extracting Domain-specific Knowledge Graphs from Textbooks. Isaac Alpizar Chacon, Sergey A. Sosnovsky |
| 2022 | Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu |
| 2022 | Will You Accept the AI Recommendation? Predicting Human Behavior in AI-Assisted Decision Making. Xinru Wang, Zhuoran Lu, Ming Yin |
| 2022 | Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games. Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu, Xudong Shen |
| 2022 | Zero-Shot Stance Detection via Contrastive Learning. Bin Liang, Zixiao Chen, Lin Gui, Yulan He, Min Yang, Ruifeng Xu |