| 2024 | Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. | Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang |
| 2024 | Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. | Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang |
| 2024 | Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection. | Yuanzheng Tan, Qing Li, Junkun Peng, Zhenhui Yuan, Yong Jiang |
| 2024 | Term Importance for Transformer-Based QA Retrieval: A Case Study of StackExchange. | Bryan Zhi Yang Tan, Hady W. Lauw |
| 2024 | Who is Creating Malware Repositories on GitHub and Why? | Nishat Ara Tania, Md Rayhanul Masud, Md Omar Faruk Rokon, Qian Zhang, Michalis Faloutsos |
| 2024 | Beyond Labels and Topics: Discovering Causal Relationships in Neural Topic Modeling. | Yi-Kun Tang, Heyan Huang, Xuewen Shi, Xian-Ling Mao |
| 2024 | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke |
| 2024 | Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. | Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen |
| 2024 | Graphameleon: Relational Learning and Anomaly Detection on Web Navigation Traces Captured as Knowledge Graphs. | Lionel Tailhardat, Benjamin Stach, Yoan Chabot, Raphal Troncy |
| 2024 | Requirements and Challenges for Query Execution across Decentralized Environments. | Ruben Taelman |
| 2024 | Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. | Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li |
| 2024 | MetroGNN: Metro Network Expansion with Reinforcement Learning. | Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li |
| 2024 | Efficient Computation for Diagonal of Forest Matrix via Variance-Reduced Forest Sampling. | Haoxin Sun, Zhongzhi Zhang |
| 2024 | Interpretable Knowledge Tracing with Multiscale State Representation. | Jianwen Sun, Fenghua Yu, Qian Wan, Qing Li, Sannyuya Liu, Xiaoxuan Shen |
| 2024 | Matching Feature Separation Network for Domain Adaptation in Entity Matching. | Chenchen Sun, Yang Xu, Derong Shen, Tiezheng Nie |
| 2024 | Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. | Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang |
| 2024 | Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering. | Hongda Sun, Yuxuan Liu, Chengwei Wu, Haiyu Yan, Cheng Tai, Xin Gao, Shuo Shang, Rui Yan |
| 2024 | Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction. | Qi Sun, Kun Huang, Xiaocui Yang, Rong Tong, Kun Zhang, Soujanya Poria |
| 2024 | Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning. | Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao |
| 2024 | Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation. | Nicholas Sukiennik, Chen Gao, Nian Li |
| 2024 | Invariant Graph Learning for Causal Effect Estimation. | Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang |
| 2024 | Triage of Messages and Conversations in a Large-Scale Child Victimization Corpus. | Prasanna Lakkur Subramanyam, Mohit Iyyer, Brian Neil Levine |
| 2024 | Discovering and Measuring CDNs Prone to Domain Fronting. | Karthika Subramani, Roberto Perdisci, Pierros-Christos Skafidas, Manos Antonakakis |
| 2024 | Enabling Patient-side Disease Prediction via the Integration of Patient Narratives. | Zhixiang Su, Yinan Zhang, Jiazheng Jing, Jie Xiao, Zhiqi Shen |
| 2024 | Mystique: A Budget Pacing System for Performance Optimization in Online Advertising. | Rotem Stram, Rani Abboud, Alex Shtoff, Oren Somekh, Ariel Raviv, Yair Koren |