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ORCID33rd WWW 2024: Singapore
- Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee:
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024. ACM 2024
Keynotes
- Jon M. Kleinberg
:
Revisiting the Behavioral Foundations of User Modeling Algorithms. 1 - Bin Liu:
AI for Materials Innovation: Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principles Simulation. 2 - Jeannie Marie Paterson:
AI Deepfakes on the Web: The 'Wicked' Challenges for AI Ethics, Law and Technology. 3 - Bo Zhang, Jie Tang:
Challenges Toward AGI and Its Impact to the Web. 4
Research Track: Economics, Online Markets, and Human Computation
- Pan Xu:
Tight Competitive and Variance Analyses of Matching Policies in Gig Platforms. 5-13 - Zhaohua Chen, Mingwei Yang, Chang Wang, Jicheng Li, Zheng Cai, Yukun Ren, Zhihua Zhu, Xiaotie Deng:
Budget-Constrained Auctions with Unassured Priors: Strategic Equivalence and Structural Properties. 14-24 - Liang Shan, Shuo Zhang, Jie Zhang, Zihe Wang:
On Truthful Item-Acquiring Mechanisms for Reward Maximization. 25-35 - Nicole Immorlica, Meena Jagadeesan, Brendan Lucier:
Clickbait vs. Quality: How Engagement-Based Optimization Shapes the Content Landscape in Online Platforms. 36-45 - Yuan Deng, Mohammad Mahdian, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo:
Efficiency of the Generalized Second-Price Auction for Value Maximizers. 46-56 - Aditya Bhaskara, Sreenivas Gollapudi, Sungjin Im, Kostas Kollias, Kamesh Munagala, Govind S. Sankar:
Data Exchange Markets via Utility Balancing. 57-65 - Benjamin Laufer, Jon M. Kleinberg, Hoda Heidari:
Fine-Tuning Games: Bargaining and Adaptation for General-Purpose Models. 66-76 - Yuqi Pan, Zhaohua Chen, Yuqing Kong:
Robust Decision Aggregation with Second-order Information. 77-88 - Nikolai Gravin, Yixuan Even Xu, Renfei Zhou:
Bidder Selection Problem in Position Auctions: A Fast and Simple Algorithm via Poisson Approximation. 89-98 - Taro Tsuchiya, Alejandro Cuevas, Nicolas Christin:
Identifying Risky Vendors in Cryptocurrency P2P Marketplaces. 99-110 - Yang Cai, Zhe Feng, Christopher Liaw, Aranyak Mehta, Grigoris Velegkas:
User Response in Ad Auctions: An MDP Formulation of Long-term Revenue Optimization. 111-122 - Md Sanzeed Anwar, Grant Schoenebeck, Paramveer S. Dhillon:
Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns. 123-134 - Guru Guruganesh, Jon Schneider, Joshua R. Wang:
Prior-Free Mechanism with Welfare Guarantees. 135-143 - Paul Dütting, Vahab Mirrokni, Renato Paes Leme, Haifeng Xu, Song Zuo:
Mechanism Design for Large Language Models. 144-155 - Bin Li, Dong Hao:
Core-Competitiveness in Partially Observable Networked Market. 156-166 - Jintao Huang, Pengcheng Xia, Jiefeng Li, Kai Ma, Gareth Tyson, Xiapu Luo, Lei Wu, Yajin Zhou, Wei Cai, Haoyu Wang:
Unveiling the Paradox of NFT Prosperity. 167-177 - Fangxiao Wang, Bo Li:
Fair Surveillance Assignment Problem. 178-186 - Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An:
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. 187-198 - Juan Luque, Sharmila Duppala, John P. Dickerson, Aravind Srinivasan:
Barter Exchange with Shared Item Valuations. 199-210 - David Gamba, Yulin Yu, Yuan Yuan, Grant Schoenebeck, Daniel M. Romero:
Exit Ripple Effects: Understanding the Disruption of Socialization Networks Following Employee Departures. 211-222 - Christopher Liaw, Aranyak Mehta, Wennan Zhu:
Efficiency of Non-Truthful Auctions in Auto-bidding with Budget Constraints. 223-234 - Ningyuan Li, Yunxuan Ma, Yang Zhao, Qian Wang, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng, Xiaotie Deng:
Ad vs Organic: Revisiting Incentive Compatible Mechanism Design in E-commerce Platforms. 235-244 - Yiming Zhu, Zhizhuo Yin, Gareth Tyson, Ehsan ul Haq, Lik-Hang Lee, Pan Hui:
APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT. 245-255 - Yuan Deng, Jieming Mao, Vahab Mirrokni, Yifeng Teng, Song Zuo:
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study. 256-266 - Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni:
Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice. 267-275 - Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck:
Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms. 276-287 - Fabian Baumann, Daniel Halpern, Ariel D. Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wüthrich:
Optimal Engagement-Diversity Tradeoffs in Social Media. 288-299
Research Track: Graph Algorithms and Learning for the Web
- Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. 300-311 - Xiaoqing Wang, Gong Cheng:
A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem. 312-321 - Zhezheng Hao, Haonan Xin, Long Wei, Liaoyuan Tang, Rong Wang, Feiping Nie:
Towards Expansive and Adaptive Hard Negative Mining: Graph Contrastive Learning via Subspace Preserving. 322-333 - Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang:
User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. 334-343 - Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li:
Cooperative Classification and Rationalization for Graph Generalization. 344-352 - Shixun Huang, Ge Lee, Zhifeng Bao, Shirui Pan:
Cost-effective Data Labelling for Graph Neural Networks. 353-364 - Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang:
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. 365-376 - Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li:
Masked Graph Autoencoder with Non-discrete Bandwidths. 377-388 - Minsang Kim, Seung Baek:
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction. 389-400 - Jiayang Pang, Chenhao Ma, Yixiang Fang:
A Similarity-based Approach for Efficient Large Quasi-clique Detection. 401-409 - Atsushi Miyauchi, Lorenzo Severini, Francesco Bonchi:
Local Centrality Minimization with Quality Guarantees. 410-421 - Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun:
Fast Inference of Removal-Based Node Influence. 422-433 - Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan:
Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. 434-445 - Zheng Zhang, Yingsheng Ji, Jiachen Shen, Yushu Chen, Xi Zhang, Guangwen Yang:
Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph. 446-456 - Meng-Chieh Lee, Lingxiao Zhao, Leman Akoglu:
Descriptive Kernel Convolution Network with Improved Random Walk Kernel. 457-468 - Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. 469-480 - Xuelian Ni, Fei Xiong, Yu Zheng, Liang Wang:
Graph Contrastive Learning with Kernel Dependence Maximization for Social Recommendation. 481-492 - Sara Ahmadian, Sreenivas Gollapudi, Gregory Hutchins, Kostas Kollias, Xizhi Tan:
Extracting Small Subgraphs in Road Networks. 493-502 - Chirag Chhablani, Sarthak Jain, Akshay Channesh, Ian A. Kash, Sourav Medya:
Game-theoretic Counterfactual Explanation for Graph Neural Networks. 503-514 - Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang:
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. 515-526 - Tianming Zhang, Junkai Fang, Zhengyi Yang, Bin Cao, Jing Fan:
TATKC: A Temporal Graph Neural Network for Fast Approximate Temporal Katz Centrality Ranking. 527-538 - Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang:
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. 539-550 - Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. 551-559 - Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. 560-569 - Linfeng Cao, Haoran Deng, Yang Yang, Chunping Wang, Lei Chen:
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph. 570-581 - Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo:
GAUSS: GrAph-customized Universal Self-Supervised Learning. 582-593 - Geon Lee, Soo Yong Lee, Kijung Shin:
VilLain: Self-Supervised Learning on Homogeneous Hypergraphs without Features via Virtual Label Propagation. 594-605 - Siyi Teng, Jiadong Xie, Fan Zhang, Can Lu, Juntao Fang, Kai Wang:
Optimizing Network Resilience via Vertex Anchoring. 606-617 - Chenxu Wang, Xichan Nie, Jinfeng Chen, Pinghui Wang, Junzhou Zhao, Xiaohong Guan:
SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning. 618-628 - Yucheng Wu, Leye Wang, Xiao Han, Han-Jia Ye:
Graph Contrastive Learning with Cohesive Subgraph Awareness. 629-640 - Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang:
Graph Contrastive Learning Reimagined: Exploring Universality. 641-651 - Xiaoyu You, Youhe Jiang, Jianwei Xu, Mi Zhang, Min Yang:
GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks. 652-663 - Zhen Zhang, Meihan Liu, Anhui Wang, Hongyang Chen, Zhao Li, Jiajun Bu, Bingsheng He:
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation. 664-675 - Yibo Li, Xiao Wang, Yujie Xing, Shaohua Fan, Ruijia Wang, Yaoqi Liu, Chuan Shi:
Graph Fairness Learning under Distribution Shifts. 676-684 - Mingguo He, Zhewei Wei, Shikun Feng, Zhengjie Huang, Weibin Li, Yu Sun, Dianhai Yu:
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials. 685-696 - Yeonjun In, Kanghoon Yoon, Kibum Kim, Kijung Shin, Chanyoung Park:
Self-Guided Robust Graph Structure Refinement. 697-708 - Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen:
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. 709-720 - Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. 721-732 - Seungyoon Choi, Wonjoong Kim, Sungwon Kim, Yeonjun In, Sein Kim, Chanyoung Park:
DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning. 733-744 - Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou:
Calibrating Graph Neural Networks from a Data-centric Perspective. 745-755 - Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
Fast and Accurate Fair k-Center Clustering in Doubling Metrics. 756-767 - Zhanfeng Mo, Tianze Luo, Sinno Jialin Pan:
Graph Principal Flow Network for Conditional Graph Generation. 768-779 - Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei:
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. 780-791 - Haoxin Sun, Zhongzhi Zhang:
Efficient Computation for Diagonal of Forest Matrix via Variance-Reduced Forest Sampling. 792-802 - Chen Huang, Haoyang Li, Yifan Zhang, Wenqiang Lei, Jiancheng Lv:
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem. 803-814 - Minjie Cheng, Hongteng Xu:
A Quasi-Wasserstein Loss for Learning Graph Neural Networks. 815-826 - Selahattin Akkas, Ariful Azad:
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values. 827-838 - Yoon-Sik Cho:
Decoupled Variational Graph Autoencoder for Link Prediction. 839-849 - Qitian Wu, Fan Nie, Chenxiao Yang, Tianyi Bao, Junchi Yan:
Graph Out-of-Distribution Generalization via Causal Intervention. 850-860 - Wei Zhang, Xiaofan Li, Wolfgang Nejdl:
Adversarial Mask Explainer for Graph Neural Networks. 861-869 - Yuxia Wu, Yuan Fang, Lizi Liao:
On the Feasibility of Simple Transformer for Dynamic Graph Modeling. 870-880 - Yufan Huang, David F. Gleich, Nate Veldt:
Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. 881-892 - Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu:
Can GNN be Good Adapter for LLMs? 893-904 - Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang:
When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. 905-913 - Tianxiang Zhao, Xiang Zhang, Suhang Wang:
Disambiguated Node Classification with Graph Neural Networks. 914-923 - Lorenzo Zangari, Domenico Mandaglio, Andrea Tagarelli:
Link Prediction on Multilayer Networks through Learning of Within-Layer and Across-Layer Node-Pair Structural Features and Node Embedding Similarity. 924-935 - Lutz Oettershagen, Honglian Wang, Aristides Gionis:
Finding Densest Subgraphs with Edge-Color Constraints. 936-947 - Trung-Kien Nguyen, Yuan Fang:
Diffusion-based Negative Sampling on Graphs for Link Prediction. 948-958 - David Y. Kang, Qiaozhu Mei, Sang-Wook Kim:
Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. 959-968 - Xingyi Zhang, Zixuan Weng, Sibo Wang:
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective. 969-979 - Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava:
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. 980-991 - Yi Nian, Yurui Chang, Wei Jin, Lu Lin:
Globally Interpretable Graph Learning via Distribution Matching. 992-1002 - Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi:
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. 1003-1014 - Yihong Ma, Ning Yan, Jiayu Li, Masood S. Mortazavi, Nitesh V. Chawla:
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. 1015-1023 - Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin:
Graph Contrastive Learning via Interventional View Generation. 1024-1034 - Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou:
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. 1035-1044 - Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi:
Endowing Pre-trained Graph Models with Provable Fairness. 1045-1056 - Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò:
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. 1057-1068 - Long Li, Zemin Liu, Chenghao Liu, Jianling Sun:
Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. 1069-1080
Research Track: Responsible Web
- Song Liao, Mohammed Aldeen, Jingwen Yan, Long Cheng, Xiapu Luo, Haipeng Cai, Hongxin Hu:
Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces. 1081-1091 - Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi:
FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. 1092-1102 - Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh:
Differentially Private Selection from Secure Distributed Computing. 1103-1114 - Joshua Ashkinaze, Eric Gilbert, Ceren Budak:
The Dynamics of (Not) Unfollowing Misinformation Spreaders. 1115-1125 - Xiaoying Zhang, Hongning Wang, Yang Liu:
Retention Depolarization in Recommender System. 1126-1137 - Emaan Atique, Saad Sher Alam, Harris Ahmad, Ihsan Ayyub Qazi, Zafar Ayyub Qazi:
Uncovering the Hidden Data Costs of Mobile YouTube Video Ads. 1138-1148 - Hongyan Gu, Xinyi Zhang, Jiang Li, Hui Wei, Baiqi Li, Xinli Huang:
Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models. 1149-1157 - Moming Duan, Qinbin Li, Bingsheng He:
ModelGo: A Practical Tool for Machine Learning License Analysis. 1158-1169 - Qiuchen Zhang, Hong-Kyu Lee, Jing Ma, Jian Lou, Carl Yang, Li Xiong:
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy. 1170-1181 - Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. 1182-1192 - Ruixuan Li, Baojun Liu, Chaoyi Lu, Haixin Duan, Jun Shao:
A Worldwide View on the Reachability of Encrypted DNS Services. 1193-1202 - Yi Xie, Jiahao Feng, Wenju Huang, Yixi Zhang, Xueliang Sun, Xiaochou Chen, Xiapu Luo:
Contrastive Fingerprinting: A Novel Website Fingerprinting Attack over Few-shot Traces. 1203-1214 - Emaan Bilal Khan, Nida Tanveer, Aima Shahid, Mohammad Jaffer Iqbal, Haashim Ali Mirza, Armish Javed, Ihsan Ayyub Qazi, Zafar Ayyub Qazi:
Analyzing Ad Exposure and Content in Child-Oriented Videos on YouTube. 1215-1226 - Michael Smith, Antonio Torres-Agüero, Riley Grossman, Pritam Sen, Yi Chen, Cristian Borcea:
A Study of GDPR Compliance under the Transparency and Consent Framework. 1227-1236 - Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr:
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. 1237-1248 - Jeffrey L. Gleason, Avijit Ghosh, Ronald E. Robertson, Christo Wilson:
Perceptions in Pixels: Analyzing Perceived Gender and Skin Tone in Real-world Image Search Results. 1249-1259 - Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu:
Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. 1260-1271 - Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan:
Heterogeneous Subgraph Transformer for Fake News Detection. 1272-1282 - Asmit Nayak, Rishabh Khandelwal, Earlence Fernandes, Kassem Fawaz:
Experimental Security Analysis of Sensitive Data Access by Browser Extensions. 1283-1294 - Karel Kubicek, Jakob Merane, Ahmed Bouhoula, David A. Basin:
Automating Website Registration for Studying GDPR Compliance. 1295-1306 - Cynthia Dwork, Chris Hays, Jon M. Kleinberg, Manish Raghavan:
Content Moderation and the Formation of Online Communities: A Theoretical Framework. 1307-1317 - Kenny Peng, Manish Raghavan, Emma Pierson, Jon M. Kleinberg, Nikhil Garg:
Reconciling the Accuracy-Diversity Trade-off in Recommendations. 1318-1329
Research Track: Search
- Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng:
List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. 1330-1340 - Fuda Ye, Shuangyin Li:
MileCut: A Multi-view Truncation Framework for Legal Case Retrieval. 1341-1349 - Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley:
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. 1350-1361 - Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. 1362-1373 - Zheng Wang, Bingzheng Gan, Wei Shi:
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback. 1374-1385 - Wenhan Liu, Ziliang Zhao, Yutao Zhu, Zhicheng Dou:
Mining Exploratory Queries for Conversational Search. 1386-1394 - Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang:
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. 1395-1406 - Zhenduo Wang, Zhichao Xu, Vivek Srikumar, Qingyao Ai:
An In-depth Investigation of User Response Simulation for Conversational Search. 1407-1418 - Changyi Ma, Runsheng Yu, Youzhi Zhang:
A Fast Similarity Matrix Calibration Method with Incomplete Query. 1419-1430 - Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin:
Whole Page Unbiased Learning to Rank. 1431-1440 - Hansi Zeng, Chen Luo, Bowen Jin, Sheikh Muhammad Sarwar, Tianxin Wei, Hamed Zamani:
Scalable and Effective Generative Information Retrieval. 1441-1452 - Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou:
Metacognitive Retrieval-Augmented Large Language Models. 1453-1463 - Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou:
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism. 1464-1473 - Yifei Yuan, Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke, Wai Lam:
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search. 1474-1485 - Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai:
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. 1486-1496 - SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. 1497-1508 - Songhao Wu, Quan Tu, Hong Liu, Jia Xu, Zhongyi Liu, Guannan Zhang, Ran Wang, Xiuying Chen, Rui Yan:
Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. 1509-1518 - Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov:
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. 1519-1528 - Ping Guo, Yue Hu, Yanan Cao, Yubing Ren, Yunpeng Li, Heyan Huang:
Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience. 1529-1538 - Ziliang Zhao, Zhicheng Dou:
Generating Multi-turn Clarification for Web Information Seeking. 1539-1548
Research Track: Security
- Junqin Huang, Linghe Kong, Guanjie Cheng, Qiao Xiang, Guihai Chen, Gang Huang, Xue Liu:
Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain. 1549-1560 - Xiaoyin Liu, Wenzhi Li, Qinsheng Hou, Shishuai Yang, Lingyun Ying, Wenrui Diao, Yanan Li, Shanqing Guo, Haixin Duan:
From Promises to Practice: Evaluating the Private Browsing Modes of Android Browser Apps. 1561-1572 - Harun Oz, Abbas Acar, Ahmet Aris, Güliz Seray Tuncay, Amin Kharraz, A. Selcuk Uluagac:
(In)Security of File Uploads in Node.js. 1573-1584 - Guoyi Ye, Geng Hong, Yuan Zhang, Min Yang:
Interface Illusions: Uncovering the Rise of Visual Scams in Cryptocurrency Wallets. 1585-1595 - Anh V. Vu, Daniel R. Thomas, Ben Collier, Alice Hutchings, Richard Clayton, Ross J. Anderson:
Getting Bored of Cyberwar: Exploring the Role of Low-level Cybercrime Actors in the Russia-Ukraine Conflict. 1596-1607 - Ziming Zhao, Zhaoxuan Li, Zhuoxue Song, Wenhao Li, Fan Zhang:
Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection. 1608-1619 - Christoph H.-J. Braun, Ross Horne, Tobias Käfer, Sjouke Mauw:
SSI, from Specifications to Protocol? Formally Verify Security! 1620-1631 - Anton Wahrstätter, Jens Ernstberger, Aviv Yaish, Liyi Zhou, Kaihua Qin, Taro Tsuchiya, Sebastian Steinhorst, Davor Svetinovic, Nicolas Christin, Mikolaj Barczentewicz, Arthur Gervais:
Blockchain Censorship. 1632-1643 - Isaac Polinsky, Pubali Datta, Adam Bates, William Enck:
GRASP: Hardening Serverless Applications through Graph Reachability Analysis of Security Policies. 1644-1655 - Hua Ding, Lixing Chen, Shenghong Li, Yang Bai, Pan Zhou, Zhe Qu:
Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale. 1656-1667 - Zhengjie Du, Yuekang Li, Yaowen Zheng, Xiaohan Zhang, Cen Zhang, Yi Liu, Sheikh Mahbub Habib, Xinghua Li, Linzhang Wang, Yang Liu, Bing Mao:
Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations. 1668-1679 - Xueying Han, Susu Cui, Jian Qin, Song Liu, Bo Jiang, Cong Dong, Zhigang Lu, Baoxu Liu:
ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning. 1680-1689 - Asuman Senol, Alisha Ukani, Dylan Cutler, Igor Bilogrevic:
The Double Edged Sword: Identifying Authentication Pages and their Fingerprinting Behavior. 1690-1701 - Sumanth Rao, Enze Liu, Grant Ho, Geoffrey M. Voelker, Stefan Savage:
Unfiltered: Measuring Cloud-based Email Filtering Bypasses. 1702-1711 - Ying Yuan, Qingying Hao, Giovanni Apruzzese, Mauro Conti, Gang Wang:
"Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages. 1712-1723 - Kevin Saric, Felix Savins, Gowri Sankar Ramachandran, Raja Jurdak, Surya Nepal:
Hyperlink Hijacking: Exploiting Erroneous URL Links to Phantom Domains. 1724-1733 - Michiharu Yamashita, Thanh Tran, Dongwon Lee:
Fake Resume Attacks: Data Poisoning on Online Job Platforms. 1734-1745 - Youkun Shi, Yuan Zhang, Tianhao Bai, Lei Zhang, Xin Tan, Min Yang:
RecurScan: Detecting Recurring Vulnerabilities in PHP Web Applications. 1746-1755 - Kyungchan Lim, Jaehwan Park, Doowon Kim:
Phishing Vs. Legit: Comparative Analysis of Client-Side Resources of Phishing and Target Brand Websites. 1756-1767 - Xinzhe Wang, Zeyang Zhuang, Wei Meng, James Cheng:
Detecting and Understanding Self-Deleting JavaScript Code. 1768-1778 - Sajal Halder, Michael Bewong, Arash Mahboubi, Yinhao Jiang, Md. Rafiqul Islam, Md Zahidul Islam, Ryan H. L. Ip, Muhammad Ejaz Ahmed, Gowri Sankar Ramachandran, Muhammad Ali Babar:
Malicious Package Detection using Metadata Information. 1779-1789 - Chenxu Wang, Jiangyi Yin, Zhao Li, Hongbo Xu, Zhongyi Zhang, Qingyun Liu:
Identifying VPN Servers through Graph-Represented Behaviors. 1790-1799 - Mikhail Shcherbakov, Paul Moosbrugger, Musard Balliu:
Unveiling the Invisible: Detection and Evaluation of Prototype Pollution Gadgets with Dynamic Taint Analysis. 1800-1811 - Qingfeng Zhang, Zhiyang Teng, Xuebin Wang, Yue Gao, Qingyun Liu, Jinqiao Shi:
HSDirSniper: A New Attack Exploiting Vulnerabilities in Tor's Hidden Service Directories. 1812-1823 - Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, Wei Cai:
ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System. 1824-1834 - Behzad Ousat, Esteban Schafir, Duc C. Hoang, Mohammad Ali Tofighi, Cuong V. Nguyen, Sajjad Arshad, A. Selcuk Uluagac, Amin Kharraz:
The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. 1835-1846 - Xiaofan Li, Jin Yang, Jiaqi Chen, Yuzhe Tang, Xing Gao:
Characterizing Ethereum Upgradable Smart Contracts and Their Security Implications. 1847-1858 - Karthika Subramani, Roberto Perdisci, Pierros-Christos Skafidas, Manos Antonakakis:
Discovering and Measuring CDNs Prone to Domain Fronting. 1859-1867 - Shuhao Zheng, Zonglun Li, Junliang Luo, Ziyue Xin, Xue Liu:
IDEA-DAC: Integrity-Driven Editing for Accountable Decentralized Anonymous Credentials via ZK-JSON. 1868-1879 - Kai Wang, Yakun Cheng, Michael Wen Tong, Zhenghao Niu, Jun Pang, Weili Han:
Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering. 1880-1891 - Liuhuo Wan, Kailong Wang, Haoyu Wang, Guangdong Bai:
Is It Safe to Share Your Files? An Empirical Security Analysis of Google Workspace. 1892-1901 - Kiho Lee, Chaejin Lim, Beomjin Jin, Taeyoung Kim, Hyoungshick Kim:
AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention. 1902-1913 - Rahul Kanyal, Smruti R. Sarangi:
PanoptiChrome: A Modern In-browser Taint Analysis Framework. 1914-1922 - Yoonjung Choi, Woonghee Lee, Junbeom Hur:
PhishinWebView: Analysis of Anti-Phishing Entities in Mobile Apps with WebView Targeted Phishing. 1923-1932 - Andreas Theofanous, Eva Papadogiannaki, Alexander Shevtsov, Sotiris Ioannidis:
Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis. 1933-1944
Research Track: Semantics and Knowledge
- Yizheng Zhao:
Efficient Computation of Signature-Restricted Views for Semantic Web Ontologies. 1945-1953 - Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao:
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. 1954-1962 - Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. 1963-1974 - Chenchen Sun, Yang Xu, Derong Shen, Tiezheng Nie:
Matching Feature Separation Network for Domain Adaptation in Entity Matching. 1975-1985 - Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen:
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. 1986-1997 - Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, Peiran Dong:
Poisoning Attack on Federated Knowledge Graph Embedding. 1998-2008 - Maximilian K. Egger, Wenyue Ma, Davide Mottin, Panagiotis Karras, Ilaria Bordino, Francesco Gullo, Aris Anagnostopoulos:
ReliK: A Reliability Measure for Knowledge Graph Embeddings. 2009-2019 - Xiao Long, Liansheng Zhuang, Aodi Li, Houqiang Li, Shafei Wang:
Fact Embedding through Diffusion Model for Knowledge Graph Completion. 2020-2029 - Narayanan Asuri Krishnan, Carlos R. Rivero:
A Method for Assessing Inference Patterns Captured by Embedding Models in Knowledge Graphs. 2030-2041 - Aishwarya Rao, Narayanan Asuri Krishnan, Carlos R. Rivero:
Using Model Calibration to Evaluate Link Prediction in Knowledge Graphs. 2042-2051 - Zhen Jia, Philipp Christmann, Gerhard Weikum:
Faithful Temporal Question Answering over Heterogeneous Sources. 2052-2063 - Philipp Seifer, Daniel Hernández, Ralf Lämmel, Steffen Staab:
From Shapes to Shapes: Inferring SHACL Shapes for Results of SPARQL CONSTRUCT Queries. 2064-2074 - Dongran Yu, Xueyan Liu, Bo Yang:
Zero-shot Image Classification with Logic Adapter and Rule Prompt. 2075-2084 - Zubaria Asma, Daniel Hernández, Luis Galárraga, Giorgos Flouris, Irini Fundulaki, Katja Hose:
NPCS: Native Provenance Computation for SPARQL. 2085-2093 - Natalia Ostapuk, Julien Audiffren, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux:
Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging. 2094-2105 - Wentao Ding, Jinmao Li, Liangchuan Luo, Yuzhong Qu:
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval. 2106-2115 - Honggen Zhang, June Zhang, Igor Molybog:
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding. 2116-2127 - Yuhan Liu, Zelin Cao, Xing Gao, Ji Zhang, Rui Yan:
Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport. 2128-2137 - Wafaa El Husseini, Cheikh Brahim El Vaigh, François Goasdoué, Hélène Jaudoin:
Query Optimization for Ontology-Mediated Query Answering. 2138-2148 - Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang:
Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs. 2149-2158 - Jingchuan Shi, Hang Dong, Jiaoyan Chen, Zhe Wu, Ian Horrocks:
Taxonomy Completion via Implicit Concept Insertion. 2159-2169 - Ben Liu, Miao Peng, Wenjie Xu, Xu Jia, Min Peng:
UniLP: Unified Topology-aware Generative Framework for Link Prediction in Knowledge Graph. 2170-2180 - Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong:
A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction. 2181-2192 - Dezhi Liu, Richong Zhang, Junfan Chen, Xinyue Chen:
Author Name Disambiguation via Paper Association Refinement and Compositional Contrastive Embedding. 2193-2203 - Lukas Blübaum, Stefan Heindorf:
Causal Question Answering with Reinforcement Learning. 2204-2215 - Tianci Bu, Kang Yang, Wenchuan Yang, Jiawei Feng, Xiaoyu Zhang, Xin Lu:
DRAM-like Architecture with Asynchronous Refreshing for Continual Relation Extraction. 2216-2225 - Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov:
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. 2226-2237 - Rui Zhao, Jun Zhao:
Perennial Semantic Data Terms of Use for Decentralized Web. 2238-2249 - Mathias Jackermeier, Jiaoyan Chen, Ian Horrocks:
Dual Box Embeddings for the Description Logic EL++. 2250-2258 - Jiaying Gong, Hoda Eldardiry:
Multi-Label Zero-Shot Product Attribute-Value Extraction. 2259-2270 - Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao:
Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. 2271-2281 - Weijian Yu, Jie Yang, Dingqi Yang:
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning. 2282-2293 - Haotian Chen, Houjing Guo, Bingsheng Chen, Xiangdong Zhou:
OODREB: Benchmarking State-of-the-Art Methods for Out-Of-Distribution Generalization on Relation Extraction. 2294-2303 - Wei Shen, Binhan Yang, Yinan Liu:
Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning. 2304-2314 - Julien Aimonier-Davat, Brice Nédelec, Minh Hoang Dang, Pascal Molli, Hala Skaf-Molli:
FedUP: Querying Large-Scale Federations of SPARQL Endpoints. 2315-2324 - Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen:
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. 2325-2336
Research Track: Social Networks, Social Media, and Society
- Zheng Wei, Yixuan Xie, Danyun Xiao, Simin Zhang, Pan Hui, Muzhi Zhou:
Social Media Discourses on Interracial Intimacy: Tracking Racism and Sexism through Chinese Geo-located Social Media Data. 2337-2346 - Alexandros Efstratiou:
Deliberate Exposure to Opposing Views and Its Association with Behavior and Rewards on Political Communities. 2347-2358 - Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang, Ruichao Yang:
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models. 2359-2370 - Salim Chouaki, Abhijnan Chakraborty, Oana Goga, Savvas Zannettou:
What News Do People Get on Social Media? Analyzing Exposure and Consumption of News through Data Donations. 2371-2382 - Yuxue Hu, Mingmin Wu, Zhongqiang Huang, Junsong Li, Xing Ge, Ying Sha:
Euphemism Identification via Feature Fusion and Individualization. 2383-2394 - Tianming Zhang, Yunjun Gao, Jie Zhao, Lu Chen, Lu Jin, Zhengyi Yang, Bin Cao, Jing Fan:
Efficient Exact and Approximate Betweenness Centrality Computation for Temporal Graphs. 2395-2406 - Huaiwen Zhang, Xinxin Liu, Qing Yang, Yang Yang, Fan Qi, Shengsheng Qian, Changsheng Xu:
T3RD: Test-Time Training for Rumor Detection on Social Media. 2407-2416 - Iasonas Nikolaou, Evimaria Terzi:
Team Formation amidst Conflicts. 2417-2428 - Fanrui Zhang, Jiawei Liu, Jingyi Xie, Qiang Zhang, Yongchao Xu, Zheng-Jun Zha:
ESCNet: Entity-enhanced and Stance Checking Network for Multi-modal Fact-Checking. 2429-2440 - Seongwoon Kim, Yong-Yeol Ahn, Jaehyuk Park:
Labor Space: A Unifying Representation of the Labor Market via Large Language Models. 2441-2451 - Bo Wang, Jing Ma, Hongzhan Lin, Zhiwei Yang, Ruichao Yang, Yuan Tian, Yi Chang:
Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom. 2452-2463 - Rodrigo Alves, Antoine Ledent, Renato Assunção, Pedro O. S. Vaz de Melo, Marius Kloft:
Unraveling the Dynamics of Stable and Curious Audiences in Web Systems. 2464-2475 - Amrit Poudel, Tim Weninger:
Navigating the Post-API Dilemma. 2476-2484 - Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong:
PaCEr: Network Embedding From Positional to Structural. 2485-2496 - Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. 2497-2508 - Xiaolong Chen, Yifan Song, Jing Tang:
Link Recommendation to Augment Influence Diffusion with Provable Guarantees. 2509-2518 - Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang:
An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. 2519-2529 - Luca Luceri, Valeria Pantè, Keith Burghardt, Emilio Ferrara:
Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter. 2530-2541 - Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima:
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features. 2542-2551 - Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. 2552-2562 - Stefan Neumann, Yinhao Dong, Pan Peng:
Sublinear-Time Opinion Estimation in the Friedkin-Johnsen Model. 2563-2571 - Abdullah Aljebreen, Weiyi Meng, Eduard C. Dragut:
Analysis and Detection of "Pink Slime" Websites in Social Media Posts. 2572-2581 - Ernesto Colacrai, Federico Cinus, Gianmarco De Francisci Morales, Michele Starnini:
Navigating Multidimensional Ideologies with Reddit's Political Compass: Economic Conflict and Social Affinity. 2582-2593 - Ana-Andreea Stoica, Nelly Litvak, Augustin Chaintreau:
Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks. 2594-2602 - Xinyi Mou, Zejun Li, Hanjia Lyu, Jiebo Luo, Zhongyu Wei:
Unifying Local and Global Knowledge: Empowering Large Language Models as Political Experts with Knowledge Graphs. 2603-2614 - Fan Wu, Sanyam Lakhanpal, Qian Li, Kookjin Lee, Doowon Kim, Heewon Chae, Kyounghee Hazel Kwon:
Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media. 2615-2626 - Yiqiao Jin, Mohit Chandra, Gaurav Verma, Yibo Hu, Munmun De Choudhury, Srijan Kumar:
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries. 2627-2638 - Xi Chen, Scott A. Hale, David Jurgens, Mattia Samory, Ethan Zuckerman, Przemyslaw A. Grabowicz:
Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic. 2639-2650 - Diogo Pacheco:
Bots, Elections, and Controversies: Twitter Insights from Brazil's Polarised Elections. 2651-2659 - Keke Huang, Ruize Gao, Bogdan Cautis, Xiaokui Xiao:
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. 2660-2671 - Rochana Chaturvedi, Sugat Chaturvedi, Elena Zheleva:
Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization. 2672-2683 - Xiangping Zheng, Bo Wu, Xun Liang, Wei Li:
Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. 2684-2693 - Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis:
Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates. 2694-2702
Research Track: Systems and Infrastructure for Web, Mobile, and WoT
- Songshi Dou, Li Qi, Zehua Guo:
ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs. 2703-2712 - Xumiao Zhang, Shuowei Jin, Yi He, Ahmad Hassan, Z. Morley Mao, Feng Qian, Zhi-Li Zhang:
QUIC is not Quick Enough over Fast Internet. 2713-2722 - Nitinder Mohan, Andrew E. Ferguson, Hendrik Cech, Rohan Bose, Prakita Rayyan Renatin, Mahesh K. Marina, Jörg Ott:
A Multifaceted Look at Starlink Performance. 2723-2734 - Ziqi Wang, Xiaoyu Xia, Minhui Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi:
GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing. 2735-2746 - Yunda Guo, Jiake Ge, Panfeng Guo, Yunpeng Chai, Tao Li, Mengnan Shi, Yang Tu, Jian Ouyang:
PASS: Predictive Auto-Scaling System for Large-scale Enterprise Web Applications. 2747-2758 - Qingyang Zeng, Kaiyu Hou, Xue Leng, Yan Chen:
DirectFaaS: A Clean-Slate Network Architecture for Efficient Serverless Chain Communications. 2759-2767 - Lianchen Jia, Chao Zhou, Tianchi Huang, Chaoyang Li, Lifeng Sun:
Meet Challenges of RTT Jitter, A Hybrid Internet Congestion Control Algorithm. 2768-2776 - Jiaming Huang, Yi Gao, Wei Dong:
Unlocking the Non-deterministic Computing Power with Memory-Elastic Multi-Exit Neural Networks. 2777-2785 - Jinliang Yuan, Shangguang Wang, Hongyu Li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu:
Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs. 2786-2794 - Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher:
FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. 2795-2806 - Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. 2807-2816 - Yuanzheng Tan, Qing Li, Junkun Peng, Zhenhui Yuan, Yong Jiang:
Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection. 2817-2825 - Haichuan Hu, Fangming Liu, Qiangyu Pei, Yongjie Yuan, Zichen Xu, Lin Wang:
λGrapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. 2826-2835 - Pengze Li, Mingxuan Song, Mingzhe Xing, Zhen Xiao, Qiuyu Ding, Shengjie Guan, Jieyi Long:
SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement. 2836-2846 - Zhenge Xu, Qing Li, Wanxin Shi, Yong Jiang, Zhenhui Yuan, Peng Zhang, Gabriel-Miro Muntean:
NCTM: A Novel Coded Transmission Mechanism for Short Video Deliveries. 2847-2858 - Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Yingke Li, Yankai Zhao, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei:
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems. 2859-2869 - Jia Zhang, Haixuan Tong, Enhuan Dong, Xin Qian, Mingwei Xu, Xiaotian Li, Zili Meng:
Cold Start or Hot Start? Robust Slow Start in Congestion Control with A Priori Knowledge for Mobile Web Services. 2870-2878 - Jiawei Liu, Yutong Zhai, Gongming Zhao, Hongli Xu, Jin Fang, Zhen Zeng, Ying Zhu:
InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training. 2879-2889 - Weichen Bi, Yun Ma, Yudong Han, Yifan Chen, Deyu Tian, Jiaqi Du:
FusionRender: Harnessing WebGPU's Power for Enhanced Graphics Performance on Web Browsers. 2890-2901 - Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang:
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. 2902-2913 - Zhen Qin, Xueqiang Yan, Mengchu Zhou, Shuiguang Deng:
BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. 2914-2925 - Daiki Ito, Yuta Takata, Hiroshi Kumagai, Masaki Kamizono:
Investigations of Top-Level Domain Name Collisions in Blockchain Naming Services. 2926-2935 - Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Xiaoyuan Liu:
Incentive and Dynamic Client Selection for Federated Unlearning. 2936-2944 - Mingyang Zhou, Gang Liu, Kezhong Lu, Rui Mao, Hao Liao:
Accelerating the Decentralized Federated Learning via Manipulating Edges. 2945-2954 - Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin:
PAGE: Equilibrate Personalization and Generalization in Federated Learning. 2955-2964 - Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao:
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. 2965-2975 - Jiayun Zhang, Shuheng Li, Haiyu Huang, Zihan Wang, Xiaohan Fu, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. 2976-2985 - Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal:
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. 2986-2997 - Kyunghwan Kim, Kyungyong Lee:
Making Cloud Spot Instance Interruption Events Visible. 2998-3009 - Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen:
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. 3010-3021 - Hua Yan, Heng Tan, Haotian Wang, Desheng Zhang, Yu Yang:
Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery. 3022-3030 - Zizhi Jin, Xuancun Lu, Bo Yang, Yushi Cheng, Chen Yan, Xiaoyu Ji, Wenyuan Xu:
Unity is Strength? Benchmarking the Robustness of Fusion-based 3D Object Detection against Physical Sensor Attack. 3031-3042 - Xinyue Liu, Zihe Song, Weike Fang, Wei Yang, Weihang Wang:
WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests. 3043-3052 - Jihao Li, Hewu Li, Zeqi Lai, Qian Wu, Yijie Liu, Qi Zhang, Yuanjie Li, Jun Liu:
SatGuard: Concealing Endless and Bursty Packet Losses in LEO Satellite Networks for Delay-Sensitive Web Applications. 3053-3063 - Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, Yilun Chen, Yu Zheng, Jiangtao Gong:
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning. 3064-3075 - Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue:
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. 3076-3084 - Gagan Somashekar, Anurag Dutt, Mainak Adak, Tania Lorido-Botran, Anshul Gandhi:
GAMMA: Graph Neural Network-Based Multi-Bottleneck Localization for Microservices Applications. 3085-3095 - Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. 3096-3105 - Liuhuo Wan, Kailong Wang, Kulani Mahadewa, Haoyu Wang, Guangdong Bai:
Don't Bite Off More than You Can Chew: Investigating Excessive Permission Requests in Trigger-Action Integrations. 3106-3116
Research Track: User Modeling and Recommendation
- Zheqi Lv, Wenqiao Zhang, Zhengyu Chen, Shengyu Zhang, Kun Kuang:
Intelligent Model Update Strategy for Sequential Recommendation. 3117-3128 - Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. 3129-3138 - Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin:
Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. 3139-3149 - Haruka Kiyohara, Masahiro Nomura, Yuta Saito:
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction. 3150-3161 - Yaochen Zhu, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li:
Collaborative Large Language Model for Recommender Systems. 3162-3172 - Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan:
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. 3173-3184 - Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson:
Temporal Conformity-aware Hawkes Graph Network for Recommendations. 3185-3194 - Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang:
Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. 3195-3206 - Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong:
Harnessing Large Language Models for Text-Rich Sequential Recommendation. 3207-3216 - Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang:
PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. 3217-3228 - Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu:
Hierarchical Graph Signal Processing for Collaborative Filtering. 3229-3240 - Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao:
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. 3241-3252 - Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He:
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. 3253-3264 - Jianwen Sun, Fenghua Yu, Qian Wan, Qing Li, Sannyuya Liu, Xiaoxuan Shen:
Interpretable Knowledge Tracing with Multiscale State Representation. 3265-3276 - Hyunsik Jeon, Jong-eun Lee, Jeongin Yun, U Kang:
Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating. 3277-3286 - Xinyue Zhang, Cong Huang, Kun Zheng, Hongzu Su, Tianxu Ji, Wei Wang, Hongkai Qi, Jingjing Li:
Adversarial-Enhanced Causal Multi-Task Framework for Debiasing Post-Click Conversion Rate Estimation. 3287-3296 - Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. 3297-3306 - Riku Togashi, Kenshi Abe, Yuta Saito:
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems. 3307-3318 - Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. 3319-3330 - Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Causally Debiased Time-aware Recommendation. 3331-3342 - Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. 3343-3354 - Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen Herring, Sujay Kumar Jauhar:
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion. 3355-3366 - Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Learning to Rewrite Prompts for Personalized Text Generation. 3367-3378 - Jing Long, Tong Chen, Guanhua Ye, Kai Zheng, Quoc Viet Hung Nguyen, Hongzhi Yin:
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation. 3379-3387 - Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. 3388-3399 - Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur Al Hasan Haldar, Bo Tang:
Debiasing Recommendation with Personal Popularity. 3400-3409 - Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen:
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. 3410-3419 - Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su:
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm. 3420-3431 - Yuta Saito, Himan Abdollahpouri, Jesse Anderton, Ben Carterette, Mounia Lalmas:
Long-term Off-Policy Evaluation and Learning. 3432-3443 - Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren:
Generative News Recommendation. 3444-3453 - Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui:
MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. 3454-3463 - Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. 3464-3475 - Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin:
Challenging Low Homophily in Social Recommendation. 3476-3484 - Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You:
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. 3485-3496 - Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang:
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. 3497-3508 - Yu Wang, Tongya Zheng, Yuxuan Liang, Shunyu Liu, Mingli Song:
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation. 3509-3520 - Qijiong Liu, Jiaren Xiao, Lu Fan, Jieming Zhu, Xiao-Ming Wu:
Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization. 3521-3532 - Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu:
Linear-Time Graph Neural Networks for Scalable Recommendations. 3533-3544 - Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. 3545-3554 - Ming Yin, Yichang Xu, Minghong Fang, Neil Zhenqiang Gong:
Poisoning Federated Recommender Systems with Fake Users. 3555-3565 - Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu:
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. 3566-3575 - Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley:
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. 3576-3585 - Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain:
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. 3586-3597 - Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang:
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. 3598-3608 - Yifan Wang, Peijie Sun, Weizhi Ma, Min Zhang, Yuan Zhang, Peng Jiang, Shaoping Ma:
Intersectional Two-sided Fairness in Recommendation. 3609-3620 - Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai:
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. 3621-3631 - Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang:
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. 3632-3642 - Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long:
Recommender Transformers with Behavior Pathways. 3643-3654 - Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. 3655-3666 - Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. 3667-3678 - Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. 3679-3689 - Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang:
GraphPro: Graph Pre-training and Prompt Learning for Recommendation. 3690-3699 - Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin:
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. 3700-3711 - Hengnian Gu, Zhiyi Duan, Pan Xie, Dongdai Zhou:
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs. 3712-3722 - Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein:
A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. 3723-3733 - Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang:
Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework. 3734-3744 - Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong:
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. 3745-3755 - Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai:
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. 3756-3766 - Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu:
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. 3767-3776 - Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. 3777-3788 - Karan Vombatkere, Sepehr Mousavi, Savvas Zannettou, Franziska Roesner, Krishna P. Gummadi:
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds. 3789-3797 - Yunli Wang, Zhiqiang Wang, Jian Yang, Shiyang Wen, Dongying Kong, Han Li, Kun Gai:
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems. 3798-3809 - Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. 3810-3820 - Xinrui He, Shuo Liu, Jacky Keung, Jingrui He:
Co-clustering for Federated Recommender System. 3821-3832 - Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao:
PMG : Personalized Multimodal Generation with Large Language Models. 3833-3843 - Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu:
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. 3844-3853 - Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim:
Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. 3854-3863 - An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang:
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. 3864-3875 - Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? 3876-3887 - Hong-Kyun Bae, Yebeen Kim, Hyunjoon Kim, Sang-Wook Kim:
Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation. 3888-3899 - Charul Paliwal, Anirban Majumder, Sivaramakrishnan Kaveri:
Predictive Relevance Uncertainty for Recommendation Systems. 3900-3909 - Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation. 3910-3918 - Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi:
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. 3919-3929 - Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin:
Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. 3930-3939 - Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, Vu Tien Hoang, Dung D. Le, Kok-Seng Wong:
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training. 3940-3951 - Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu:
Understanding Human Preferences: Towards More Personalized Video to Text Generation. 3952-3963
Research Track: Web Mining and Content Analysis
- Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li:
LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. 3964-3975 - Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong:
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. 3976-3985 - Wendong Xiao, Shuqi Zhang, Zhiyi Huang, Yao Yu:
Multi-Scenario Pricing for Hotel Revenue Management. 3986-3994 - Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu:
Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. 3995-4005 - Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang:
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. 4006-4017 - Yupeng Li, Haorui He, Jin Bai, Dacheng Wen:
MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection. 4018-4027 - Ping Wu, Heyan Huang, Zhengyang Liu:
Online Sequential Decision-Making with Unknown Delays. 4028-4036 - Zhiyuan Zhou, Li Lin, Hai Wang, Xiaolei Zhou, Gong Wei, Shuai Wang:
A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. 4037-4046 - Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu:
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty. 4047-4058 - Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. 4059-4070 - Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu:
RicciNet: Deep Clustering via A Riemannian Generative Model. 4071-4082 - Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li:
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. 4083-4094 - Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann:
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. 4095-4106 - Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen:
MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. 4107-4116 - Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai:
Dynamic Multi-Network Mining of Tensor Time Series. 4117-4127 - Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax Aware Fake News Detection. 4128-4137 - Feiyi Chen, Zhen Qin, Mengchu Zhou, Yingying Zhang, Shuiguang Deng, Lunting Fan, Guansong Pang, Qingsong Wen:
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. 4138-4149 - Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. 4150-4159 - Fabian Spaeh, Charalampos E. Tsourakakis:
Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures. 4160-4171 - Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Entity Disambiguation with Extreme Multi-label Ranking. 4172-4180 - Huanran Zheng, Wei Zhu, Xiaoling Wang:
NAT4AT: Using Non-Autoregressive Translation Makes Autoregressive Translation Faster and Better. 4181-4192 - Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu:
Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. 4193-4203 - Youngeun Nam, Susik Yoon, Yooju Shin, Minyoung Bae, Hwanjun Song, Jae-Gil Lee, Byung Suk Lee:
Breaking the Time-Frequency Granularity Discrepancy in Time-Series Anomaly Detection. 4204-4215 - Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang:
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. 4216-4226 - Weihe Li, Paul Patras:
Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing. 4227-4238 - Guimei Liu, Huijing Zhan, Jung-Jae Kim:
Question Difficulty Consistent Knowledge Tracing. 4239-4248 - Yonghao Liu, Lan Huang, Bowen Cao, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification. 4249-4259 - Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou:
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems. 4260-4271 - Miaomiao Li, Jiaqi Zhu, Yang Wang, Yi Yang, Yilin Li, Hongan Wang:
RulePrompt: Weakly Supervised Text Classification with Prompting PLMs and Self-Iterative Logical Rules. 4272-4282 - Xiyang Liu, Chunming Hu, Richong Zhang, Kai Sun, Samuel Mensah, Yongyi Mao:
Multimodal Relation Extraction via a Mixture of Hierarchical Visual Context Learners. 4283-4294 - Ildar Baimuratov:
Diagrammatic Reasoning for ALC Visualization with Logic Graphs. 4295-4303 - Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. 4304-4315 - Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. 4316-4327 - Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long:
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. 4328-4339 - S. Rasoul Etesami:
Distributed Data Placement and Content Delivery in Web Caches with Non-Metric Access Costs. 4340-4351 - Junfan Chen, Richong Zhang, Jiarui Wang, Chunming Hu, Yongyi Mao:
Self-Paced Pairwise Representation Learning for Semi-Supervised Text Classification. 4352-4361 - Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao:
DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification. 4362-4371 - Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan:
Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. 4372-4382 - Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang:
Graph Anomaly Detection with Bi-level Optimization. 4383-4394 - Zixiang Meng, Qiang Gao, Di Guo, Yunlong Li, Bobo Li, Hao Fei, Shengqiong Wu, Fei Li, Chong Teng, Donghong Ji:
MMLSCU: A Dataset for Multi-modal Multi-domain Live Streaming Comment Understanding. 4395-4406 - Qi Sun, Kun Huang, Xiaocui Yang, Rong Tong, Kun Zhang, Soujanya Poria:
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction. 4407-4416 - Xianwen Deng, Yijun Wang, Zhi Xue:
AN-Net: an Anti-Noise Network for Anonymous Traffic Classification. 4417-4428 - Dan Lin, Jiajing Wu, Yunmei Yu, Qishuang Fu, Zibin Zheng, Changlin Yang:
DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs. 4429-4438 - Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li:
Fast Graph Condensation with Structure-based Neural Tangent Kernel. 4439-4448 - Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao:
Towards Cross-Table Masked Pretraining for Web Data Mining. 4449-4459 - Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao:
Beyond Labels and Topics: Discovering Causal Relationships in Neural Topic Modeling. 4460-4469 - Yu-Wei Zhan, Xin Luo, Zhen-Duo Chen, Yongxin Wang, Yinwei Wei, Xin-Shun Xu:
POLISH: Adaptive Online Cross-Modal Hashing for Class Incremental Data. 4470-4478 - Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu:
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. 4479-4488
Special Track: Web4Good
- Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. 4489-4500 - Sheng-Fang Yang, Cheng-Te Li:
Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking. 4501-4511 - Yifeng Luo, Yupeng Li, Dacheng Wen, Liang Lan:
Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model. 4512-4522 - Andrei Nesterov, Laura Hollink, Jacco van Ossenbruggen:
How Contentious Terms About People and Cultures are Used in Linked Open Data. 4523-4533 - Thi Huyen Nguyen, Koustav Rudra:
Human vs ChatGPT: Effect of Data Annotation in Interpretable Crisis-Related Microblog Classification. 4534-4543 - Prasanna Lakkur Subramanyam, Mohit Iyyer, Brian Neil Levine:
Triage of Messages and Conversations in a Large-Scale Child Victimization Corpus. 4544-4554 - Bishwas Mandal, Sarthak Khanal, Doina Caragea:
Contrastive Learning for Multimodal Classification of Crisis related Tweets. 4555-4564 - Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao:
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. 4565-4574 - Rui Cao, Roy Ka-Wei Lee, Jing Jiang:
Modularized Networks for Few-shot Hateful Meme Detection. 4575-4584 - Junhui Ji, Xuanrui Lin, Usman Naseem:
CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection. 4585-4594 - Bowen Chen, Gillian Dobbie, Neelesh Rampal, Yun Sing Koh:
Unveiling Climate Drivers via Feature Importance Shift Analysis in New Zealand. 4595-4606 - Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang:
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems. 4607-4617 - Muzhe Guo, Muhao Guo, Juntao Su, Junyu Chen, Jiaqian Yu, Jiaqi Wang, Hongfei Du, Parmanand Sahu, Ashwin Assysh Sharma, Fang Jin:
Bayesian Iterative Prediction and Lexical-based Interpretation for Disturbed Chinese Sentence Pair Matching. 4618-4629 - Jiwon Kang, Jiwon Kim, Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song, Jinyoung Han:
SceneDAPR: A Scene-Level Free-Hand Drawing Dataset for Web-based Psychological Drawing Assessment. 4630-4641 - Han Wang, Roy Ka-Wei Lee:
MemeCraft: Contextual and Stance-Driven Multimodal Meme Generation. 4642-4652 - Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang:
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. 4653-4663 - Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, Ashiqur R. KhudaBukhsh:
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. 4664-4673 - Jinyi Ye, Luca Luceri, Julie Jiang, Emilio Ferrara:
Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure. 4674-4685 - Zheyuan Ryan Shi, Jiayin Zhi, Siqi Zeng, Zhicheng Zhang, Ameesh Kapoor, Sean Hudson, Hong Shen, Fei Fang:
Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms. 4686-4696 - Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li:
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. 4697-4705 - Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng:
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. 4706-4716 - Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He:
Item-side Fairness of Large Language Model-based Recommendation System. 4717-4726 - Nicholas Sukiennik, Chen Gao, Nian Li:
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. 4727-4735
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