| 2024 | Exploring Unconfirmed Transactions for Effective Bitcoin Address Clustering. | Kai Wang, Yakun Cheng, Michael Wen Tong, Zhenghao Niu, Jun Pang, Weili Han |
| 2024 | Core-Competitiveness in Partially Observable Networked Market. | Bin Li, Dong Hao |
| 2024 | PAGE: Equilibrate Personalization and Generalization in Federated Learning. | Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin |
| 2024 | Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach. | Tao Yang, Cuize Han, Chen Luo, Parth Gupta, Jeff M. Phillips, Qingyao Ai |
| 2024 | Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. | Haoming Li, Yusen Huo, Shuai Dou, Zhenzhe Zheng, Zhilin Zhang, Chuan Yu, Jian Xu, Fan Wu |
| 2024 | On Truthful Item-Acquiring Mechanisms for Reward Maximization. | Liang Shan, Shuo Zhang, Jie Zhang, Zihe Wang |
| 2024 | Learning to Rewrite Prompts for Personalized Text Generation. | Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky |
| 2024 | Can we Soft Prompt LLMs for Graph Learning Tasks? | Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla |
| 2024 | Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu |
| 2024 | GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing. | Ziqi Wang, Xiaoyu Xia, Minhui Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi |
| 2024 | Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning. | Wei Ji, Ruiqi Shi, Yinwei Wei, Shanshan Zhao, Roger Zimmermann |
| 2024 | Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation. | Lei Guo, Ziang Lu, Junliang Yu, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection. | Ziming Zhao, Zhaoxuan Li, Zhuoxue Song, Wenhao Li, Fan Zhang |
| 2024 | Improving Model Robustness against Adversarial Examples with Redundant Fully Connected Layer. | Ziming Zhao, Zhaoxuan Li, Tingting Li, Jiongchi Yu, Fan Zhang, Rui Zhang |
| 2024 | A Worldwide View on the Reachability of Encrypted DNS Services. | Ruixuan Li, Baojun Liu, Chaoyi Lu, Haixin Duan, Jun Shao |
| 2024 | RicciNet: Deep Clustering via A Riemannian Generative Model. | Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. | Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2024 | DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs. | Dan Lin, Jiajing Wu, Yunmei Yu, Qishuang Fu, Zibin Zheng, Changlin Yang |
| 2024 | Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks. | Hao Liu, Jiarui Feng, Lecheng Kong, Dacheng Tao, Yixin Chen, Muhan Zhang |
| 2024 | Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model. | Wenting Zhao, Zhongfen Deng, Shweta Yadav, Philip S. Yu |
| 2024 | User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang |
| 2024 | Jointly Canonicalizing and Linking Open Knowledge Base via Unified Embedding Learning. | Wei Shen, Binhan Yang, Yinan Liu |
| 2024 | Information Diffusion Meets Invitation Mechanism. | Shiqi Zhang, Jiachen Sun, Wenqing Lin, Xiaokui Xiao, Yiqian Huang, Bo Tang |
| 2024 | Contrastive Fingerprinting: A Novel Website Fingerprinting Attack over Few-shot Traces. | Yi Xie, Jiahao Feng, Wenju Huang, Yixi Zhang, Xueliang Sun, Xiaochou Chen, Xiapu Luo |
| 2024 | Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective. | Xingyi Zhang, Zixuan Weng, Sibo Wang |