| 2024 | Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation Mapping. | Jingjing Zheng, Kai Li, Xin Yuan, Wei Ni, Eduardo Tovar |
| 2024 | Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. | Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li |
| 2024 | Perennial Semantic Data Terms of Use for Decentralized Web. | Rui Zhao, Jun Zhao |
| 2024 | The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. | Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao |
| 2024 | Generating Multi-turn Clarification for Web Information Seeking. | Ziliang Zhao, Zhicheng Dou |
| 2024 | Efficient Computation of Signature-Restricted Views for Semantic Web Ontologies. | Yizheng Zhao |
| 2024 | Masked Graph Autoencoder with Non-discrete Bandwidths. | Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li |
| 2024 | Disambiguated Node Classification with Graph Neural Networks. | Tianxiang Zhao, Xiang Zhang, Suhang Wang |
| 2024 | Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. | Yuying Zhao, Minghua Xu, Huiyuan Chen, Yuzhong Chen, Yiwei Cai, Rashidul Islam, Yu Wang, Tyler Derr |
| 2024 | GreenRec: A Large-Scale Dataset for Green Food Recommendation. | Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen |
| 2024 | Endowing Pre-trained Graph Models with Provable Fairness. | Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi |
| 2024 | User Response Modeling in Reinforcement Learning for Ads Allocation. | Zhiyuan Zhang, Qichao Zhang, Xiaoxu Wu, Xiaowen Shi, Guogang Liao, Yongkang Wang, Xingxing Wang, Dongbin Zhao |
| 2024 | SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. | Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An |
| 2024 | HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding. | Honggen Zhang, June Zhang, Igor Molybog |
| 2024 | LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty. | Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu |
| 2024 | Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. | Huajie Zhang, Yuxin Ying, Fuzhen Zhuang, Haiqin Weng, Ying Sun, Zhao Zhang, Yiqi Tong, Yan Liu |
| 2024 | On Practical Diversified Recommendation with Controllable Category Diversity Framework. | Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning |
| 2024 | Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. | Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava |
| 2024 | Practical Batch Bayesian Sampling Algorithms for Online Adaptive Traffic Experimentation. | Zezhong Zhang, Ted Tao Yuan |
| 2024 | Linear-Time Graph Neural Networks for Scalable Recommendations. | Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu |
| 2024 | NoteLLM: A Retrievable Large Language Model for Note Recommendation. | Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen |
| 2024 | Retention Depolarization in Recommender System. | Xiaoying Zhang, Hongning Wang, Yang Liu |
| 2024 | HSDirSniper: A New Attack Exploiting Vulnerabilities in Tor's Hidden Service Directories. | Qingfeng Zhang, Zhiyang Teng, Xuebin Wang, Yue Gao, Qingyun Liu, Jinqiao Shi |
| 2024 | Cold Start or Hot Start? Robust Slow Start in Congestion Control with A Priori Knowledge for Mobile Web Services. | Jia Zhang, Haixuan Tong, Enhuan Dong, Xin Qian, Mingwei Xu, Xiaotian Li, Zili Meng |