| 2023 | "Why is this misleading?": Detecting News Headline Hallucinations with Explanations. Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Mike Bendersky, Marc Najork |
| 2023 | A Counterfactual Collaborative Session-based Recommender System. Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin |
| 2023 | A Dataset on Malicious Paper Bidding in Peer Review. Steven Jecmen, Minji Yoon, Vincent Conitzer, Nihar B. Shah, Fei Fang |
| 2023 | A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua |
| 2023 | A First Look at Public Service Websites from the Affordability Lens. Rumaisa Habib, Aimen Inam, Ayesha Ali, Ihsan Ayyub Qazi, Zafar Ayyub Qazi |
| 2023 | A Method to Assess and Explain Disparate Impact in Online Retailing. Rafael Becerril-Arreola |
| 2023 | A Multi-task Model for Emotion and Offensive Aided Stance Detection of Climate Change Tweets. Apoorva Upadhyaya, Marco Fisichella, Wolfgang Nejdl |
| 2023 | A Multi-view Meta-learning Approach for Multi-modal Response Generation. Zhiliang Tian, Zheng Xie, Fuqiang Lin, Yiping Song |
| 2023 | A Passage-Level Reading Behavior Model for Mobile Search. Zhijing Wu, Jiaxin Mao, Kedi Xu, Dandan Song, Heyan Huang |
| 2023 | A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu |
| 2023 | A Prompt Log Analysis of Text-to-Image Generation Systems. Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei |
| 2023 | A Reference-Dependent Model for Web Search Evaluation: Understanding and Measuring the Experience of Boundedly Rational Users. Nuo Chen, Jiqun Liu, Tetsuya Sakai |
| 2023 | A Self-Correcting Sequential Recommender. Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren |
| 2023 | A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings. Song Jiang, Qiyue Yao, Qifan Wang, Yizhou Sun |
| 2023 | Active Learning from the Web. Ryoma Sato |
| 2023 | Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World. Bonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma |
| 2023 | Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He |
| 2023 | Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang |
| 2023 | AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu |
| 2023 | Algorithmic Vibe in Information Retrieval. Ali Montazeralghaem, Nick Craswell, Ryen W. White, Ahmed Hassan Awadallah, Byungki Byun |
| 2023 | All Your Shops Are Belong to Us: Security Weaknesses in E-commerce Platforms. Rohan Pagey, Mohammad Mannan, Amr M. Youssef |
| 2023 | An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li |
| 2023 | An Empirical Study of the Usage of Checksums for Web Downloads. Gaël Bernard, Rémi Coudert, Bertil Chapuis, Kévin Huguenin |
| 2023 | Analyzing the Communication Clusters in Datacenters✱. Klaus-Tycho Foerster, Thibault Marette, Stefan Neumann, Claudia Plant, Ylli Sadikaj, Stefan Schmid, Yllka Velaj |
| 2023 | Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang |
| 2023 | ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang |
| 2023 | AppSniffer: Towards Robust Mobile App Fingerprinting Against VPN. Sanghak Oh, Minwook Lee, Hyunwoo Lee, Elisa Bertino, Hyoungshick Kim |
| 2023 | Are Mobile Advertisements in Compliance with App's Age Group? Yanjie Zhao, Tianming Liu, Haoyu Wang, Yepang Liu, John C. Grundy, Li Li |
| 2023 | Atrapos: Real-time Evaluation of Metapath Query Workloads. Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas, Theodore Dalamagas, Christos Tryfonopoulos, Panagiotis Karras |
| 2023 | Attacking Fake News Detectors via Manipulating News Social Engagement. Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu |
| 2023 | Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li |
| 2023 | Auctions without commitment in the auto-bidding world. Andrés Perlroth, Aranyak Mehta |
| 2023 | Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan |
| 2023 | AutoDenoise: Automatic Data Instance Denoising for Recommendations. Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang |
| 2023 | AutoMLP: Automated MLP for Sequential Recommendations. Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo |
| 2023 | AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen |
| 2023 | Autobidding Auctions in the Presence of User Costs. Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo |
| 2023 | Automated Content Moderation Increases Adherence to Community Guidelines. Manoel Horta Ribeiro, Justin Cheng, Robert West |
| 2023 | Automated Self-Supervised Learning for Recommendation. Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao |
| 2023 | Automated Spatio-Temporal Graph Contrastive Learning. Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu |
| 2023 | Automated WebAssembly Function Purpose Identification With Semantics-Aware Analysis. Alan Romano, Weihang Wang |
| 2023 | Automatic Discovery of Emerging Browser Fingerprinting Techniques. Junhua Su, Alexandros Kapravelos |
| 2023 | Automatic Feature Selection By One-Shot Neural Architecture Search In Recommendation Systems. He Wei, Yuekui Yang, Haiyang Wu, Yangyang Tang, Meixi Liu, Jianfeng Li |
| 2023 | BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu |
| 2023 | Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems. Kailun Yan, Jilian Zhang, Xiangyu Liu, Wenrui Diao, Shanqing Guo |
| 2023 | Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu |
| 2023 | Believability and Harmfulness Shape the Virality of Misleading Social Media Posts. Chiara Patricia Drolsbach, Nicolas Pröllochs |
| 2023 | Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen |
| 2023 | Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. Hongyu Shan, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Chenliang Li |
| 2023 | BiSR: Bidirectionally Optimized Super-Resolution for Mobile Video Streaming. Qian Yu, Qing Li, Rui He, Gareth Tyson, Wanxin Shi, Jianhui Lv, Zhenhui Yuan, Peng Zhang, Yulong Lan, Zhicheng Li |
| 2023 | Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King |
| 2023 | BlinkViz: Fast and Scalable Approximate Visualization on Very Large Datasets using Neural-Enhanced Mixed Sum-Product Networks. Yimeng Qiao, Yinan Jing, Hanbing Zhang, Zhenying He, Kai Zhang, X. Sean Wang |
| 2023 | Bootstrap Latent Representations for Multi-modal Recommendation. Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang |
| 2023 | Breaking Filter Bubble: A Reinforcement Learning Framework of Controllable Recommender System. Zhenyang Li, Yancheng Dong, Chen Gao, Yizhou Zhao, Dong Li, Jianye Hao, Kai Zhang, Yong Li, Zhi Wang |
| 2023 | CAM: A Large Language Model-based Creative Analogy Mining Framework. Bhavya, Jinjun Xiong, ChengXiang Zhai |
| 2023 | CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation. Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang, Hongwei Zheng |
| 2023 | CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu |
| 2023 | CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet. Miaomiao Li, Jiaqi Zhu, Xin Yang, Yi Yang, Qiang Gao, Hongan Wang |
| 2023 | CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data. Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu, Dan Pei |
| 2023 | CMINet: a Graph Learning Framework for Content-aware Multi-channel Influence Diffusion. Hsi-Wen Chen, De-Nian Yang, Wang-Chien Lee, Philip S. Yu, Ming-Syan Chen |
| 2023 | CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. Congchi Yin, Piji Li, Zhaochun Ren |
| 2023 | CaML: Carbon Footprinting of Household Products with Zero-Shot Semantic Text Similarity. Bharathan Balaji, Venkata Sai Gargeya Vunnava, Geoffrey Guest, Jared Kramer |
| 2023 | Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods? Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Johannes Hoffart, Manish Singh, Toyotaro Suzumura |
| 2023 | CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge. Linli Yao, Weijing Chen, Qin Jin |
| 2023 | Cashing in on Contacts: Characterizing the OnlyFans Ecosystem. Pelayo Vallina, Ignacio Castro, Gareth Tyson |
| 2023 | Catch: Collaborative Feature Set Search for Automated Feature Engineering. Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao |
| 2023 | CausIL: Causal Graph for Instance Level Microservice Data. Sarthak Chakraborty, Shaddy Garg, Shubham Agarwal, Ayush Chauhan, Shiv Kumar Saini |
| 2023 | CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval. Xunguang Wang, Yiqun Lin, Xiaomeng Li |
| 2023 | Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin |
| 2023 | CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. Zheheng Luo, Qianqian Xie, Sophia Ananiadou |
| 2023 | Clustered Embedding Learning for Recommender Systems. Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou |
| 2023 | CoTel: Ontology-Neural Co-Enhanced Text Labeling. Miao-Hui Song, Lan Zhang, Mu Yuan, Zichong Li, Qi Song, Yijun Liu, Guidong Zheng |
| 2023 | Code Recommendation for Open Source Software Developers. Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun, Wei Wang |
| 2023 | CogDL: A Comprehensive Library for Graph Deep Learning. Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang |
| 2023 | Coherent Topic Modeling for Creative Multimodal Data on Social Media. Junaid Rashid, Jungeun Kim, Usman Naseem |
| 2023 | ColdNAS: Search to Modulate for User Cold-Start Recommendation. Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao |
| 2023 | CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | Collaboration-Aware Graph Convolutional Network for Recommender Systems. Yu Wang, Yuying Zhao, Yi Zhang, Tyler Derr |
| 2023 | Combining Worker Factors for Heterogeneous Crowd Task Assignment. Senuri Wijenayake, Danula Hettiachchi, Jorge Gonçalves |
| 2023 | Communicative MARL-based Relevance Discerning Network for Repetition-Aware Recommendation. Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang, Shangguang Wang |
| 2023 | Compressed Interaction Graph based Framework for Multi-behavior Recommendation. Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang |
| 2023 | Concept Regulation in the Social Sciences. Zachary Elkins |
| 2023 | Confident Action Decision via Hierarchical Policy Learning for Conversational Recommendation. Heeseon Kim, Hyeongjun Yang, Kyong-Ho Lee |
| 2023 | Connectivity. Robert Melancton Metcalfe |
| 2023 | ConsRec: Learning Consensus Behind Interactions for Group Recommendation. Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu |
| 2023 | Constrained Subset Selection from Data Streams for Profit Maximization. Shuang Cui, Kai Han, Jing Tang, He Huang |
| 2023 | Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. Xin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu |
| 2023 | ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | Contrastive Collaborative Filtering for Cold-Start Item Recommendation. Zhihui Zhou, Lilin Zhang, Ning Yang |
| 2023 | Controllable Universal Fair Representation Learning. Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou |
| 2023 | Cooperative Retriever and Ranker in Deep Recommenders. Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen |
| 2023 | Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng |
| 2023 | Cross-Modality Mutual Learning for Enhancing Smart Contract Vulnerability Detection on Bytecode. Peng Qian, Zhenguang Liu, Yifang Yin, Qinming He |
| 2023 | Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals. Ruiqing Ding, Fangjie Rong, Xiao Han, Leye Wang |
| 2023 | Cross-domain Recommendation with Behavioral Importance Perception. Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu |
| 2023 | Cross-domain recommendation via user interest alignment. Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang, Jianping Fan |
| 2023 | Curriculum Graph Poisoning. Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2023 | CurvDrop: A Ricci Curvature Based Approach to Prevent Graph Neural Networks from Over-Smoothing and Over-Squashing. Yang Liu, Chuan Zhou, Shirui Pan, Jia Wu, Zhao Li, Hongyang Chen, Peng Zhang |
| 2023 | Cut-matching Games for Generalized Hypergraph Ratio Cuts. Nate Veldt |
| 2023 | DANCE: Learning A Domain Adaptive Framework for Deep Hashing. Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2023 | DDPC: Automated Data-Driven Power-Performance Controller Design on-the-fly for Latency-sensitive Web Services. Mehmet Savasci, Ahmed Ali-Eldin, Johan Eker, Anders Robertsson, Prashant J. Shenoy |
| 2023 | DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He |
| 2023 | DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu |
| 2023 | Debiased Contrastive Learning for Sequential Recommendation. Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin |
| 2023 | Decolonizing Creative Labor in the age of AI. Payal Arora |
| 2023 | DeeProphet: Improving HTTP Adaptive Streaming for Low Latency Live Video by Meticulous Bandwidth Prediction. Kefan Chen, Bo Wang, Wufan Wang, Xiaoyu Li, Fengyuan Ren |
| 2023 | Demystifying Mobile Extended Reality in Web Browsers: How Far Can We Go? Weichen Bi, Yun Ma, Deyu Tian, Qi Yang, Mingtao Zhang, Xiang Jing |
| 2023 | Denoising and Prompt-Tuning for Multi-Behavior Recommendation. Chi Zhang, Rui Chen, Xiangyu Zhao, Qilong Han, Li Li |
| 2023 | Descartes: Generating Short Descriptions of Wikipedia Articles. Marija Sakota, Maxime Peyrard, Robert West |
| 2023 | Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks. Yue Hu, Yuhang Zhang, Yanbing Wang, Daniel B. Work |
| 2023 | Detecting and Limiting Negative User Experiences in Social Media Platforms. Lluís Garcia Pueyo, Vinodh Kumar Sunkara, Prathyusha Senthil Kumar, Mohit Diwan, Qian Ge, Behrang Javaherian, Vasilis Verroios |
| 2023 | Differentiable Optimized Product Quantization and Beyond. Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen |
| 2023 | Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding. Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin, Sang-Wook Kim |
| 2023 | Distillation from Heterogeneous Models for Top-K Recommendation. SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu |
| 2023 | Do Language Models Plagiarize? Jooyoung Lee, Thai Le, Jinghui Chen, Dongwon Lee |
| 2023 | Do NFTs' Owners Really Possess their Assets? A First Look at the NFT-to-Asset Connection Fragility. Ziwei Wang, Jiashi Gao, Xuetao Wei |
| 2023 | Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan |
| 2023 | Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems. Heesoo Jung, Sangpil Kim, Hogun Park |
| 2023 | Dual-interest Factorization-heads Attention for Sequential Recommendation. Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li |
| 2023 | DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha |
| 2023 | Dynalogue: A Transformer-Based Dialogue System with Dynamic Attention. Rongjunchen Zhang, Tingmin Wu, Xiao Chen, Sheng Wen, Surya Nepal, Cécile Paris, Yang Xiang |
| 2023 | Dynamic Interventions for Networked Contagions. Marios Papachristou, Siddhartha Banerjee, Jon M. Kleinberg |
| 2023 | Dynamically Expandable Graph Convolution for Streaming Recommendation. Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | EDNet: Attention-Based Multimodal Representation for Classification of Twitter Users Related to Eating Disorders. Mohammad Abuhassan, Tarique Anwar, Chengfei Liu, Hannah K. Jarman, Matthew Fuller-Tyszkiewicz |
| 2023 | ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning. Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang |
| 2023 | EdgeMove: Pipelining Device-Edge Model Training for Mobile Intelligence. Zeqian Dong, Qiang He, Feifei Chen, Hai Jin, Tao Gu, Yun Yang |
| 2023 | Efficiency of Non-Truthful Auctions in Auto-bidding: The Power of Randomization. Christopher Liaw, Aranyak Mehta, Andrés Perlroth |
| 2023 | Efficient Approximation Algorithms for the Diameter-Bounded Max-Coverage Group Steiner Tree Problem. Ke Zhang, Xiaoqing Wang, Gong Cheng |
| 2023 | Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic. Guodong Huang, Chuan Ma, Ming Ding, Yuwen Qian, Chunpeng Ge, Liming Fang, Zhe Liu |
| 2023 | Eligibility Mechanisms: Auctions Meet Information Retrieval. Gagan Goel, Renato Paes Leme, Jon Schneider, David Thompson, Hanrui Zhang |
| 2023 | EmpMFF: A Multi-factor Sequence Fusion Framework for Empathetic Response Generation. Xiaobing Pang, Yequan Wang, Siqi Fan, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | Encoding Node Diffusion Competence and Role Significance for Network Dismantling. Jiazheng Zhang, Bang Wang |
| 2023 | Enhancing Deep Knowledge Tracing with Auxiliary Tasks. Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng |
| 2023 | Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu |
| 2023 | Enhancing User Personalization in Conversational Recommenders. Allen Lin, Ziwei Zhu, Jianling Wang, James Caverlee |
| 2023 | Event Prediction using Case-Based Reasoning over Knowledge Graphs. Sola Shirai, Debarun Bhattacharjya, Oktie Hassanzadeh |
| 2023 | Everything Evolves in Personalized PageRank. Zihao Li, Dongqi Fu, Jingrui He |
| 2023 | Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit. Corrado Monti, Jacopo D'Ignazi, Michele Starnini, Gianmarco De Francisci Morales |
| 2023 | Exploration and Regularization of the Latent Action Space in Recommendation. Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang |
| 2023 | Exploring Social Media for Early Detection of Depression in COVID-19 Patients. Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang |
| 2023 | Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li |
| 2023 | Extracting Cultural Commonsense Knowledge at Scale. Tuan-Phong Nguyen, Simon Razniewski, Aparna S. Varde, Gerhard Weikum |
| 2023 | FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation. Qijiong Liu, Jieming Zhu, Jiahao Wu, Tiandeng Wu, Zhenhua Dong, Xiao-Ming Wu |
| 2023 | FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2023 | Facility Relocation Search For Good: When Facility Exposure Meets User Convenience. Hui Luo, Zhifeng Bao, J. Shane Culpepper, Mingzhao Li, Yanchang Zhao |
| 2023 | Fair Graph Representation Learning via Diverse Mixture-of-Experts. Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang |
| 2023 | Fairly Adaptive Negative Sampling for Recommendations. Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li |
| 2023 | Fairness in model-sharing games. Kate Donahue, Jon M. Kleinberg |
| 2023 | Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He |
| 2023 | Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. Liang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng |
| 2023 | Fast and Multi-aspect Mining of Complex Time-stamped Event Streams. Kota Nakamura, Yasuko Matsubara, Koki Kawabata, Yuhei Umeda, Yuichiro Wada, Yasushi Sakurai |
| 2023 | FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou |
| 2023 | FedEdge: Accelerating Edge-Assisted Federated Learning. Kaibin Wang, Qiang He, Feifei Chen, Hai Jin, Yun Yang |
| 2023 | Federated Node Classification over Graphs with Latent Link-type Heterogeneity. Han Xie, Li Xiong, Carl Yang |
| 2023 | Few-shot News Recommendation via Cross-lingual Transfer. Taicheng Guo, Lu Yu, Basem Shihada, Xiangliang Zhang |
| 2023 | Filtered-DiskANN: Graph Algorithms for Approximate Nearest Neighbor Search with Filters. Siddharth Gollapudi, Neel Karia, Varun Sivashankar, Ravishankar Krishnaswamy, Nikit Begwani, Swapnil Raz, Yiyong Lin, Yin Zhang, Neelam Mahapatro, Premkumar Srinivasan, Amit Singh, Harsha Vardhan Simhadri |
| 2023 | Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. Tianjun Wei, Jianghong Ma, Tommy W. S. Chow |
| 2023 | FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures. Kaibin Wang, Qiang He, Feifei Chen, Chunyang Chen, Faliang Huang, Hai Jin, Yun Yang |
| 2023 | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |
| 2023 | GELTOR: A Graph Embedding Method based on Listwise Learning to Rank. Masoud Reyhani Hamedani, Jin-Su Ryu, Sang-Wook Kim |
| 2023 | GIF: A General Graph Unlearning Strategy via Influence Function. Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He |
| 2023 | GNNs and Graph Generative models for biomedical applications. Michalis Vazirgiannis |
| 2023 | GROUP: An End-to-end Multi-step-ahead Workload Prediction Approach Focusing on Workload Group Behavior. Binbin Feng, Zhijun Ding |
| 2023 | Gateway Entities in Problematic Trajectories. Xi Leslie Chen, Abhratanu Dutta, Sindhu Kiranmai Ernala, Stratis Ioannidis, Shankar Kalyanaraman, Israel Nir, Udi Weinsberg |
| 2023 | Gender Pay Gap in Sports on a Fan-Request Celebrity Video Site. Nazanin Sabri, Stephen Reysen, Ingmar Weber |
| 2023 | Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu |
| 2023 | Geographic Information Retrieval Using Wikipedia Articles. Amir Krause, Sara Cohen |
| 2023 | Ginver: Generative Model Inversion Attacks Against Collaborative Inference. Yupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu |
| 2023 | Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou |
| 2023 | Graph Neural Networks with Diverse Spectral Filtering. Jingwei Guo, Kaizhu Huang, Xinping Yi, Rui Zhang |
| 2023 | Graph Neural Networks without Propagation. Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo |
| 2023 | Graph Self-supervised Learning with Augmentation-aware Contrastive Learning. Dong Chen, Xiang Zhao, Wei Wang, Zhen Tan, Weidong Xiao |
| 2023 | Graph-based Village Level Poverty Identification. Jing Ma, Liangwei Yang, Qiong Feng, Weizhi Zhang, Philip S. Yu |
| 2023 | Graph-less Collaborative Filtering. Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu |
| 2023 | GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang |
| 2023 | GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang |
| 2023 | HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction. Qijie Bai, Changli Nie, Haiwei Zhang, Dongming Zhao, Xiaojie Yuan |
| 2023 | HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun |
| 2023 | HISum: Hyperbolic Interaction Model for Extractive Multi-Document Summarization. Mingyang Song, Yi Feng, Liping Jing |
| 2023 | HTTP Steady Connections for Robust Web Acceleration. Sunjae Kim, Wonjun Lee |
| 2023 | Hashtag-Guided Low-Resource Tweet Classification. Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang |
| 2023 | HateProof: Are Hateful Meme Detection Systems really Robust? Piush Aggarwal, Pranit Chawla, Mithun Das, Punyajoy Saha, Binny Mathew, Torsten Zesch, Animesh Mukherjee |
| 2023 | Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning. Xiangrong Zhu, Guangyao Li, Wei Hu |
| 2023 | Hidden Indicators of Collective Intelligence in Crowdfunding. Emoke-Ágnes Horvát, Henry Kudzanai Dambanemuya, Jayaram Uparna, Brian Uzzi |
| 2023 | Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | Hierarchical Self-Attention Embedding for Temporal Knowledge Graph Completion. Xin Ren, Luyi Bai, Qianwen Xiao, Xiangxi Meng |
| 2023 | Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs. Junnan Dong, Qinggang Zhang, Xiao Huang, Keyu Duan, Qiaoyu Tan, Zhimeng Jiang |
| 2023 | High-Effort Crowds: Limited Liability via Tournaments. Yichi Zhang, Grant Schoenebeck |
| 2023 | Homophily-oriented Heterogeneous Graph Rewiring. Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang |
| 2023 | Human-in-the-loop Regular Expression Extraction for Single Column Format Inconsistency. Shaochen Yu, Lei Han, Marta Indulska, Shazia Sadiq, Gianluca Demartini |
| 2023 | HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks. Chenxu Wang, Xin Wang, Zhao Li, Zirui Chen, Jianxin Li |
| 2023 | HybridEval: A Human-AI Collaborative Approach for Evaluating Design Ideas at Scale. Sepideh Mesbah, Ines Arous, Jie Yang, Alessandro Bozzon |
| 2023 | Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li |
| 2023 | IMF: Interactive Multimodal Fusion Model for Link Prediction. Xinhang Li, Xiangyu Zhao, Jiaxing Xu, Yong Zhang, Chunxiao Xing |
| 2023 | INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging. Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi, Chaochao Chen, Longbiao Chen |
| 2023 | IRWArt: Levering Watermarking Performance for Protecting High-quality Artwork Images. Yuanjing Luo, Tongqing Zhou, Fang Liu, Zhiping Cai |
| 2023 | Identifying Checkworthy CURE Claims on Twitter. Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng |
| 2023 | Identifying Creative Harmful Memes via Prompt based Approach. Junhui Ji, Wei Ren, Usman Naseem |
| 2023 | Impartial Selection with Prior Information. Ioannis Caragiannis, George Christodoulou, Nicos Protopapas |
| 2023 | Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang |
| 2023 | Improving Content Retrievability in Search with Controllable Query Generation. Gustavo Penha, Enrico Palumbo, Maryam Aziz, Alice Wang, Hugues Bouchard |
| 2023 | Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long |
| 2023 | Improving Recommendation Fairness via Data Augmentation. Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | Incorporating Explicit Subtopics in Personalized Search. Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen |
| 2023 | Interaction-level Membership Inference Attack Against Federated Recommender Systems. Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, Hongzhi Yin |
| 2023 | Interactive Log Parsing via Light-weight User Feedback. Liming Wang, Hong Xie, Ye Li, Jian Tan, John C. S. Lui |
| 2023 | Interpreting wealth distribution via poverty map inference using multimodal data. Lisette Espín-Noboa, János Kertész, Márton Karsai |
| 2023 | Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems. Quyu Kong, Pio Calderon, Rohit Ram, Olga Boichak, Marian-Andrei Rizoiu |
| 2023 | Intra and Inter Domain HyperGraph Convolutional Network for Cross-Domain Recommendation. Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng, Yang Yao |
| 2023 | Invariant Collaborative Filtering to Popularity Distribution Shift. An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua |
| 2023 | Is IPFS Ready for Decentralized Video Streaming? Zhengyu Wu, ChengHao Ryan Yang, Santiago Vargas, Aruna Balasubramanian |
| 2023 | Is your digital neighbor a reliable investment advisor? Daisuke Kawai, Alejandro Cuevas Villalba, Bryan R. Routledge, Kyle Soska, Ariel Zetlin-Jones, Nicolas Christin |
| 2023 | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |
| 2023 | KAE-Informer: A Knowledge Auto-Embedding Informer for Forecasting Long-Term Workloads of Microservices. Qin Hua, Dingyu Yang, Shiyou Qian, Hanwen Hu, Jian Cao, Guangtao Xue |
| 2023 | KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu |
| 2023 | KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction. Yun-Yong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong, Sang-Wook Kim |
| 2023 | KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo |
| 2023 | Know Your Transactions: Real-time and Generic Transaction Semantic Representation on Blockchain & Web3 Ecosystem. Zhiying Wu, Jieli Liu, Jiajing Wu, Zibin Zheng, Xiapu Luo, Ting Chen |
| 2023 | Knowledge Graph Completion with Counterfactual Augmentation. Heng Chang, Jie Cai, Jia Li |
| 2023 | Knowledge Graph Question Answering with Ambiguous Query. Lihui Liu, Yuzhong Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction. Yu Liu, Xin Zhang, Jingtao Ding, Yanxin Xi, Yong Li |
| 2023 | LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2023 | LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation. Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu, Fan Wu |
| 2023 | Label Information Enhanced Fraud Detection against Low Homophily in Graphs. Yuchen Wang, Jinghui Zhang, Zhengjie Huang, Weibin Li, Shikun Feng, Ziheng Ma, Yu Sun, Dianhai Yu, Fang Dong, Jiahui Jin, Beilun Wang, Junzhou Luo |
| 2023 | Large-Scale Analysis of New Employee Network Dynamics. Yulin Yu, Longqi Yang, Siân Lindley, Mengting Wan |
| 2023 | Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | Learning Denoised and Interpretable Session Representation for Conversational Search. Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao |
| 2023 | Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization. Jinpeng Li, Yingce Xia, Xin Cheng, Dongyan Zhao, Rui Yan |
| 2023 | Learning Faithful Attention for Interpretable Classification of Crisis-Related Microblogs under Constrained Human Budget. Thi Huyen Nguyen, Koustav Rudra |
| 2023 | Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang |
| 2023 | Learning Mixtures of Markov Chains with Quality Guarantees. Fabian Spaeh, Charalampos E. Tsourakakis |
| 2023 | Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation. Shiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu |
| 2023 | Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu |
| 2023 | Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings. Zhenyu Zhang, Bowen Yu, Tingwen Liu, Tianyun Liu, Yubin Wang, Li Guo |
| 2023 | Learning To Rank Resources with GNN. Ulugbek Ergashev, Eduard C. Dragut, Weiyi Meng |
| 2023 | Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao |
| 2023 | Learning like human annotators: Cyberbullying detection in lengthy social media sessions. Peiling Yi, Arkaitz Zubiaga |
| 2023 | Learning to Bid in Contextual First Price Auctions✱. Ashwinkumar Badanidiyuru, Zhe Feng, Guru Guruganesh |
| 2023 | Learning to Simulate Crowd Trajectories with Graph Networks. Hongzhi Shi, Quanming Yao, Yong Li |
| 2023 | Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li |
| 2023 | Learning with Exposure Constraints in Recommendation Systems. Omer Ben-Porat, Rotem Torkan |
| 2023 | Leveraging Existing Literature on the Web and Deep Neural Models to Build a Knowledge Graph Focused on Water Quality and Health Risks. Nikita Gautam, David Shumway, Megan Kowalcyk, Sarthak Khanal, Doina Caragea, Cornelia Caragea, Hande McGinty, Samuel Dorevitch |
| 2023 | Lightweight source localization for large-scale social networks. Zhen Wang, Dongpeng Hou, Chao Gao, Xiaoyu Li, Xuelong Li |
| 2023 | Link Prediction on Latent Heterogeneous Graphs. Trung-Kien Nguyen, Zemin Liu, Yuan Fang |
| 2023 | Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models. Cosimo Gregucci, Mojtaba Nayyeri, Daniel Hernández, Steffen Staab |
| 2023 | Longitudinal Assessment of Reference Quality on Wikipedia. Aitolkyn Baigutanova, Jaehyeon Myung, Diego Sáez-Trumper, Ai-Jou Chou, Miriam Redi, Changwook Jung, Meeyoung Cha |
| 2023 | Look Deep into the Microservice System Anomaly through Very Sparse Logs. Xinrui Jiang, Yicheng Pan, Meng Ma, Ping Wang |
| 2023 | MLN4KB: an efficient Markov logic network engine for large-scale knowledge bases and structured logic rules. Huang Fang, Yang Liu, Yunfeng Cai, Mingming Sun |
| 2023 | MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu |
| 2023 | MSQ-BioBERT: Ambiguity Resolution to Enhance BioBERT Medical Question-Answering. Muzhe Guo, Muhao Guo, Edward T. Dougherty, Fang Jin |
| 2023 | MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng |
| 2023 | Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods. Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran |
| 2023 | MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen |
| 2023 | Match4Match: Enhancing Text-Video Retrieval by Maximum Flow with Minimum Cost. Zhongjie Duan, Chengyu Wang, Cen Chen, Wenmeng Zhou, Jun Huang, Weining Qian |
| 2023 | Maximizing Submodular Functions for Recommendation in the Presence of Biases. Anay Mehrotra, Nisheeth K. Vishnoi |
| 2023 | Measuring and Evading Turkmenistan's Internet Censorship: A Case Study in Large-Scale Measurements of a Low-Penetration Country. Sadia Nourin, Van Hong Tran, Xi Jiang, Kevin Bock, Nick Feamster, Nguyen Phong Hoang, Dave Levin |
| 2023 | Membership Inference Attacks Against Sequential Recommender Systems. Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen |
| 2023 | Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect. Yunhao Yuan, Koustuv Saha, Barbara Keller, Erkki Tapio Isometsä, Talayeh Aledavood |
| 2023 | Message Function Search for Knowledge Graph Embedding. Shimin Di, Lei Chen |
| 2023 | Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph. Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou |
| 2023 | MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters. Lin Tian, Xiuzhen Zhang, Jey Han Lau |
| 2023 | Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang |
| 2023 | Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis. Sergej Wildemann, Claudia Niederée, Erick Elejalde |
| 2023 | Minimum Topology Attacks for Graph Neural Networks. Mengmei Zhang, Xiao Wang, Chuan Shi, Lingjuan Lyu, Tianchi Yang, Junping Du |
| 2023 | Misbehavior and Account Suspension in an Online Financial Communication Platform. Taro Tsuchiya, Alejandro Cuevas Villalba, Thomas Magelinski, Nicolas Christin |
| 2023 | Modeling Dynamic Interactions over Tensor Streams. Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai |
| 2023 | Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning. Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan |
| 2023 | Moral Narratives Around the Vaccination Debate on Facebook. Mariano Gastón Beiró, Jacopo D'Ignazi, Victoria Perez Bustos, Maria Florencia Prado, Kyriaki Kalimeri |
| 2023 | Multi-Aspect Heterogeneous Graph Augmentation. Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang |
| 2023 | Multi-Behavior Recommendation with Cascading Graph Convolution Networks. Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng |
| 2023 | Multi-Modal Self-Supervised Learning for Recommendation. Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang |
| 2023 | Multi-Task Recommendations with Reinforcement Learning. Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | Multi-aspect Diffusion Network Inference. Hao Huang, Keqi Han, Beicheng Xu, Ting Gan |
| 2023 | Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang |
| 2023 | Multitask Peer Prediction With Task-dependent Strategies. Yichi Zhang, Grant Schoenebeck |
| 2023 | Multiview Representation Learning from Crowdsourced Triplet Comparisons. Xiaotian Lu, Jiyi Li, Koh Takeuchi, Hisashi Kashima |
| 2023 | Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu |
| 2023 | Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher |
| 2023 | NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen |
| 2023 | Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms. Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai |
| 2023 | Neighborhood Structure Configuration Models. Felix I. Stamm, Michael Scholkemper, Michael T. Schaub, Markus Strohmaier |
| 2023 | Net-track: Generic Web Tracking Detection Using Packet Metadata. Dongkeun Lee, Minwoo Joo, Wonjun Lee |
| 2023 | NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake Samples. Xueluan Gong, Ziyao Wang, Yanjiao Chen, Qian Wang, Cong Wang, Chao Shen |
| 2023 | NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin |
| 2023 | Node-wise Diffusion for Scalable Graph Learning. Keke Huang, Jing Tang, Juncheng Liu, Renchi Yang, Xiaokui Xiao |
| 2023 | Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal |
| 2023 | Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui |
| 2023 | On Detecting Policy-Related Political Ads: An Exploratory Analysis of Meta Ads in 2022 French Election. Vera Sosnovik, Romaissa Kessi, Maximin Coavoux, Oana Goga |
| 2023 | On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User Privacy. Zhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou, Lifeng Gao, Pascal Berrang, Benjamin Livshits, Arthur Gervais |
| 2023 | On the Theories Behind Hard Negative Sampling for Recommendation. Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He |
| 2023 | Online Advertising in Ukraine and Russia During the 2022 Russian Invasion. Christina Yeung, Umar Iqbal, Yekaterina Tsipenyuk O'Neil, Tadayoshi Kohno, Franziska Roesner |
| 2023 | Online Bidding Algorithms for Return-on-Spend Constrained Advertisers✱. Zhe Feng, Swati Padmanabhan, Di Wang |
| 2023 | Online Reviews Are Leading Indicators of Changes in K-12 School Attributes. Linsen Li, Aron Culotta, Douglas N. Harris, Nicholas Mattei |
| 2023 | Online resource allocation in Markov Chains. Jianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Gavin Tang |
| 2023 | Open-World Social Event Classification. Shengsheng Qian, Hong Chen, Dizhan Xue, Quan Fang, Changsheng Xu |
| 2023 | Opinion Maximization in Social Networks via Leader Selection. Xiaotian Zhou, Zhongzhi Zhang |
| 2023 | Optimizing Feature Set for Click-Through Rate Prediction. Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu |
| 2023 | Optimizing Guided Traversal for Fast Learned Sparse Retrieval. Yifan Qiao, Yingrui Yang, Haixin Lin, Tao Yang |
| 2023 | P-MMF: Provider Max-min Fairness Re-ranking in Recommender System. Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang, Zhenhua Dong |
| 2023 | PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. Zhichen Zeng, Si Zhang, Yinglong Xia, Hanghang Tong |
| 2023 | PDSum: Prototype-driven Continuous Summarization of Evolving Multi-document Sets Stream. Susik Yoon, Hou Pong Chan, Jiawei Han |
| 2023 | PROD: Progressive Distillation for Dense Retrieval. Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan |
| 2023 | PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction. Shichang Zhang, Jiani Zhang, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos, Yizhou Sun |
| 2023 | Pairwise-interactions-based Bayesian Inference of Network Structure from Information Cascades. Chao Gao, Yuchen Wang, Zhen Wang, Xianghua Li, Xuelong Li |
| 2023 | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2023 | Personalized Graph Signal Processing for Collaborative Filtering. Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | PipeEdge: A Trusted Pipelining Collaborative Edge Training based on Blockchain. Liang Yuan, Qiang He, Feifei Chen, Ruihan Dou, Hai Jin, Yun Yang |
| 2023 | Platform Behavior under Market Shocks: A Simulation Framework and Reinforcement-Learning Based Study. Xintong Wang, Gary Qiurui Ma, Alon Eden, Clara Li, Alexander Trott, Stephan Zheng, David C. Parkes |
| 2023 | Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. Wendong Bi, Bingbing Xu, Xiaoqian Sun, Easton Li Xu, Huawei Shen, Xueqi Cheng |
| 2023 | Preserving Missing Data Distribution in Synthetic Data. Xinyue Wang, Hafiz Salman Asif, Jaideep Vaidya |
| 2023 | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 Ying Ding, Jie Tang, Juan F. Sequeda, Lora Aroyo, Carlos Castillo, Geert-Jan Houben |
| 2023 | Propaganda Política Pagada: Exploring U.S. Political Facebook Ads en Español. Bruno Coelho, Tobias Lauinger, Laura Edelson, Ian Goldstein, Damon McCoy |
| 2023 | Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification. Yunpeng Liu, Kexin Li, Zhuotao Liu, Bihan Wen, Ke Xu, Weiqiang Wang, Wenbiao Zhao, Qi Li |
| 2023 | Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding. Yuke Hu, Wei Liang, Ruofan Wu, Kai Xiao, Weiqiang Wang, Xiaochen Li, Jinfei Liu, Zhan Qin |
| 2023 | Quantize Sequential Recommenders Without Private Data. Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang |
| 2023 | RICC: Robust Collective Classification of Sybil Accounts. Dongwon Shin, Suyoung Lee, Sooel Son |
| 2023 | RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems. Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang |
| 2023 | RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang |
| 2023 | Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives. He Huang, Kai Han, Shuang Cui, Jing Tang |
| 2023 | Recommendation with Causality enhanced Natural Language Explanations. Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang |
| 2023 | Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation. Bing He, Mustaque Ahamad, Srijan Kumar |
| 2023 | Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling. Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng |
| 2023 | Robust Graph Representation Learning for Local Corruption Recovery. Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang |
| 2023 | Robust Mid-Pass Filtering Graph Convolutional Networks. Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang |
| 2023 | Robust Preference-Guided Denoising for Graph based Social Recommendation. Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li |
| 2023 | Robust Recommendation with Adversarial Gaussian Data Augmentation. Zhenlei Wang, Xu Chen |
| 2023 | SA-Fusion: Multimodal Fusion Approach for Web-based Human-Computer Interaction in the Wild. Xingyu Liu, Pengfei Ren, Yuchen Chen, Cong Liu, Jing Wang, Haifeng Sun, Qi Qi, Jingyu Wang |
| 2023 | SCStory: Self-supervised and Continual Online Story Discovery. Susik Yoon, Yu Meng, Dongha Lee, Jiawei Han |
| 2023 | SCTAP: Supporting Scenario-Centric Trigger-Action Programming based on Software-Defined Physical Environments. Bingkun Sun, Liwei Shen, Xin Peng, Ziming Wang |
| 2023 | SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu |
| 2023 | SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. Junda Ye, Zhongbao Zhang, Li Sun, Yang Yan, Feiyang Wang, Fuxin Ren |
| 2023 | SISSI: An Architecture for Semantic Interoperable Self-Sovereign Identity-based Access Control on the Web. Christoph H.-J. Braun, Vasil Papanchev, Tobias Käfer |
| 2023 | Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection. Soumyajit Gupta, Sooyong Lee, Maria De-Arteaga, Matthew Lease |
| 2023 | Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy. Minxin Du, Xiang Yue, Sherman S. M. Chow, Huan Sun |
| 2023 | Scan Me If You Can: Understanding and Detecting Unwanted Vulnerability Scanning. Xigao Li, Babak Amin Azad, Amir Rahmati, Nick Nikiforakis |
| 2023 | Scoping Fairness Objectives and Identifying Fairness Metrics for Recommender Systems: The Practitioners' Perspective. Jessie J. Smith, Lex Beattie, Henriette Cramer |
| 2023 | Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification. Lanning Wei, Zhiqiang He, Huan Zhao, Quanming Yao |
| 2023 | Sedition Hunters: A Quantitative Study of the Crowdsourced Investigation into the 2021 U.S. Capitol Attack. Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, Kurt Luther |
| 2023 | SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao |
| 2023 | Self-Supervised Teaching and Learning of Representations on Graphs. Liangtian Wan, Zhenqiang Fu, Lu Sun, Xianpeng Wang, Gang Xu, Xiaoran Yan, Feng Xia |
| 2023 | Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu |
| 2023 | Semi-Supervised Embedding of Attributed Multiplex Networks. Ylli Sadikaj, Justus Rass, Yllka Velaj, Claudia Plant |
| 2023 | Semi-decentralized Federated Ego Graph Learning for Recommendation. Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin |
| 2023 | Semi-supervised Adversarial Learning for Complementary Item Recommendation. Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2023 | SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | Set in Stone: Analysis of an Immutable Web3 Social Media Platform. Wenrui Zuo, Aravindh Raman, Raul J. Mondragón, Gareth Tyson |
| 2023 | Shield: Secure Allegation Escrow System with Stronger Guarantees. Nishat Koti, Varsha Bhat Kukkala, Arpita Patra, Bhavish Raj Gopal |
| 2023 | Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. Tangwei Ye, Liang Hu, Qi Zhang, Zhongyuan Lai, Usman Naseem, Dora D. Liu |
| 2023 | Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction. Davide Costa, Lucio La Cava, Andrea Tagarelli |
| 2023 | Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection. Chris Hays, Zachary Schutzman, Manish Raghavan, Erin Walk, Philipp Zimmer |
| 2023 | Stability and Efficiency of Personalised Cultural Markets. Haiqing Zhu, Yun Kuen Cheung, Lexing Xie |
| 2023 | Structure Pretraining and Prompt Tuning for Knowledge Graph Transfer. Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen |
| 2023 | TEA: Time-aware Entity Alignment in Knowledge Graphs. Yu Liu, Wen Hua, Kexuan Xin, Saeid Hosseini, Xiaofang Zhou |
| 2023 | TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu |
| 2023 | TIGER: Temporal Interaction Graph Embedding with Restarts. Yao Zhang, Yun Xiong, Yongxiang Liao, Yiheng Sun, Yucheng Jin, Xuehao Zheng, Yangyong Zhu |
| 2023 | TMMDA: A New Token Mixup Multimodal Data Augmentation for Multimodal Sentiment Analysis. Xianbing Zhao, Yixin Chen, Sicen Liu, Xuan Zang, Yang Xiang, Buzhou Tang |
| 2023 | TRAVERS: A Diversity-Based Dynamic Approach to Iterative Relevance Search over Knowledge Graphs. Ziyang Li, Yu Gu, Yulin Shen, Wei Hu, Gong Cheng |
| 2023 | TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection. Yingjie Li, Chenye Zhao, Cornelia Caragea |
| 2023 | Tangible Web: An Interactive Immersion Virtual Reality Creativity System that Travels Across Reality. Simin Yang, Ze Gao, Reza Hadi Mogavi, Pan Hui, Tristan Braud |
| 2023 | TaxoComplete: Self-Supervised Taxonomy Completion Leveraging Position-Enhanced Semantic Matching. Ines Arous, Ljiljana Dolamic, Philippe Cudré-Mauroux |
| 2023 | Testing Cluster Properties of Signed Graphs. Florian Adriaens, Simon Apers |
| 2023 | The Benefits of Vulnerability Discovery and Bug Bounty Programs: Case Studies of Chromium and Firefox. Soodeh Atefi, Amutheezan Sivagnanam, Afiya Ayman, Jens Grossklags, Aron Laszka |
| 2023 | The Chameleon on the Web: an Empirical Study of the Insidious Proactive Web Defacements. Rui Zhao |
| 2023 | The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han |
| 2023 | The Harmonic Memory: a Knowledge Graph of harmonic patterns as a trustworthy framework for computational creativity. Jacopo de Berardinis, Albert Meroño-Peñuela, Andrea Poltronieri, Valentina Presutti |
| 2023 | The Hitchhiker's Guide to Facebook Web Tracking with Invisible Pixels and Click IDs. Paschalis Bekos, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis |
| 2023 | The Impact of Covid-19 on Online Discussions: the Case Study of the Sanctioned Suicide Forum. Elisa Sartori, Luca Pajola, Giovanni Da San Martino, Mauro Conti |
| 2023 | The More Things Change, the More They Stay the Same: Integrity of Modern JavaScript. Johnny So, Michael Ferdman, Nick Nikiforakis |
| 2023 | The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections. Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson |
| 2023 | Time-manipulation Attack: Breaking Fairness against Proof of Authority Aura. Xinrui Zhang, Rujia Li, Qin Wang, Qi Wang, Sisi Duan |
| 2023 | To Store or Not? Online Data Selection for Federated Learning with Limited Storage. Chen Gong, Zhenzhe Zheng, Fan Wu, Yunfeng Shao, Bingshuai Li, Guihai Chen |
| 2023 | Toward Degree Bias in Embedding-Based Knowledge Graph Completion. Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang |
| 2023 | Toward Open-domain Slot Filling via Self-supervised Co-training. Adib Mosharrof, Moghis Fereidouni, A. B. Siddique |
| 2023 | Towards Explainable Collaborative Filtering with Taste Clusters Learning. Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie |
| 2023 | Towards Fair Allocation in Social Commerce Platforms. Anjali Gupta, Shreyans J. Nagori, Abhijnan Chakraborty, Rohit Vaish, Sayan Ranu, Prajit Prashant Sinai Nadkarni, Narendra Varma Dasararaju, Muthusamy Chelliah |
| 2023 | Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao |
| 2023 | Towards Understanding Consumer Healthcare Questions on the Web with Semantically Enhanced Contrastive Learning. Shweta Yadav, Stefan Cobeli, Cornelia Caragea |
| 2023 | Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li |
| 2023 | Training-free Lexical Backdoor Attacks on Language Models. Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen |
| 2023 | Transferring Audio Deepfake Detection Capability across Languages. Zhongjie Ba, Qing Wen, Peng Cheng, Yuwei Wang, Feng Lin, Li Lu, Zhenguang Liu |
| 2023 | Two-Stage Constrained Actor-Critic for Short Video Recommendation. Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai |
| 2023 | Understanding the Behaviors of Toxic Accounts on Reddit. Deepak Kumar, Jeff T. Hancock, Kurt Thomas, Zakir Durumeric |
| 2023 | Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters. Liangtian Wan, Xiaona Li, Huijin Han, Xiaoran Yan, Lu Sun, Zhaolong Ning, Feng Xia |
| 2023 | Unlearning Graph Classifiers with Limited Data Resources. Chao Pan, Eli Chien, Olgica Milenkovic |
| 2023 | Unnoticeable Backdoor Attacks on Graph Neural Networks. Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang |
| 2023 | Unsupervised Anomaly Detection on Microservice Traces through Graph VAE. Zhe Xie, Haowen Xu, Wenxiao Chen, Wanxue Li, Huai Jiang, Liangfei Su, Hanzhang Wang, Dan Pei |
| 2023 | Unsupervised Entity Alignment for Temporal Knowledge Graphs. Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao |
| 2023 | Unsupervised Event Chain Mining from Multiple Documents. Yizhu Jiao, Ming Zhong, Jiaming Shen, Yunyi Zhang, Chao Zhang, Jiawei Han |
| 2023 | User Retention-oriented Recommendation with Decision Transformer. Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang, Dawei Yin |
| 2023 | Using diversity as a source of scientific innovation for the Web. Barbara Poblete |
| 2023 | Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks. Chung-ju Huang, Leye Wang, Xiao Han |
| 2023 | Visual-Aware Testing and Debugging for Web Performance Optimization. Xinlei Yang, Wei Liu, Hao Lin, Zhenhua Li, Feng Qian, Xianlong Wang, Yunhao Liu, Tianyin Xu |
| 2023 | Web Information Extraction for Social Good: Food Pantry Answering As an Example. Huan-Yuan Chen, Hong Yu |
| 2023 | Web Photo Source Identification based on Neural Enhanced Camera Fingerprint. Feng Qian, Sifeng He, Honghao Huang, Huanyu Ma, Xiaobo Zhang, Lei Yang |
| 2023 | Web Structure Derived Clustering for Optimised Web Accessibility Evaluation. Alexander Hambley, Yeliz Yesilada, Markel Vigo, Simon Harper |
| 2023 | Web Table Formatting Affects Readability on Mobile Devices. Christopher Tensmeyer, Zoya Bylinskii, Tianyuan Cai, Dave Miller, Ani Nenkova, Aleena Gertrudes Niklaus, Shaun Wallace |
| 2023 | Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites. Emmanouil Papadogiannakis, Panagiotis Papadopoulos, Evangelos P. Markatos, Nicolas Kourtellis |
| 2023 | Wikidata as a seed for Web Extraction. Kunpeng Guo, Dennis Diefenbach, Antoine Gourru, Christophe Gravier |
| 2023 | Will Admins Cope? Decentralized Moderation in the Fediverse. Ishaku Hassan Anaobi, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Damilola Ibosiola, Gareth Tyson |
| 2023 | Word Sense Disambiguation by Refining Target Word Embedding. Xuefeng Zhang, Richong Zhang, Xiaoyang Li, Fanshuang Kong, Junfan Chen, Samuel Mensah, Yongyi Mao |
| 2023 | Worst-Case Welfare of Item Pricing in the Tollbooth Problem. Zihan Tan, Yifeng Teng, Mingfei Zhao |
| 2023 | XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages. Dhaval Taunk, Shivprasad Sagare, Anupam Patil, Shivansh Subramanian, Manish Gupta, Vasudeva Varma |
| 2023 | ZTLS: A DNS-based Approach to Zero Round Trip Delay in TLS handshake. Sangwon Lim, Hyeonmin Lee, Hyunsoo Kim, Hyunwoo Lee, Ted Taekyoung Kwon |
| 2023 | Zero-shot Clarifying Question Generation for Conversational Search. Zhenduo Wang, Yuancheng Tu, Corby Rosset, Nick Craswell, Ming Wu, Qingyao Ai |
| 2023 | pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning. Tao Guo, Song Guo, Junxiao Wang |
| 2023 | xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin |