Dun Zeng - RankMe

29 papers A* 1A 1B 1Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories. CoRR Chenlong Deng, Mengjie Deng, Junjie Wu, Dun Zeng, Teng Wang, Qingsong Xie, Jiadeng Huang, Shengjie Ma, Changwang Zhang, Zhaoxiang Wang, Jun Wang, Yutao Zhu, Zhicheng Dou
2026	J	`jnl`	Enhancing progressive ensemble learning via normalized extra-Gradient initialization. Neural Networks Zheshun Wu, Yu Pan, Dun Zeng, Qifan Wang, Zenglin Xu, Jie Liu
2025	J	`jnl`	Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients. IEEE Trans. Neural Networks Learn. Syst. Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang, Jie Liu
2025	J	`jnl`	Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang
2025	—	`conf`	Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. EMNLP (Findings) Han Weng, Puzhen Wu, Longjie Cui, Yi Zhan, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Qianru Zhang, Dong Huang, Xiaoming Yin, Yang Sun, Xing Chen
2025	J	`jnl`	Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward. CoRR Han Weng, Boyi Liu, Yuanfeng Song, Dun Zeng, Yingxiang Yang, Yi Zhan, Longjie Cui, Xiaoming Yin, Yang Sun
2025	A	`conf`	On the Power of Adaptive Weighted Aggregation in Heterogeneous Federated Learning and Beyond. AISTATS Dun Zeng, Zenglin Xu, Shiyu Liu, Yu Pan, Qifan Wang, Xiaoying Tang
2025	J	`jnl`	StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. Neural Networks Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2024	J	`jnl`	A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. ACM Trans. Intell. Syst. Technol. Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King
2024	J	`jnl`	FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. CoRR Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King
2024	—	`conf`	On Diversified Preferences of Large Language Model Alignment. EMNLP (Findings) Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
2024	J	`jnl`	Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. IEEE Trans. Veh. Technol. Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2024	J	`jnl`	Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization. CoRR Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu
2023	—	`conf`	A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023	J	`jnl`	A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King
2023	J	`jnl`	Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	J	`jnl`	FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu
2023	J	`jnl`	FedNoisy: Federated Noisy Label Learning Benchmark. CoRR Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu
2023	J	`jnl`	Federated Generalization via Information-Theoretic Distribution Diversification. CoRR Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang
2023	A*	`conf`	Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023	J	`jnl`	Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2023	B	`conf`	Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King
2023	J	`jnl`	On Diversified Preferences of Large Language Model Alignment. CoRR Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu
2023	J	`jnl`	Personalized Federated Learning via Amortized Bayesian Meta-Learning. CoRR Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
2023	J	`jnl`	Stochastic Clustered Federated Learning. CoRR Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2023	J	`jnl`	Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang
2023	J	`jnl`	Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu
2022	J	`jnl`	Aggregating Gradients in Encoded Domain for Federated Learning. CoRR Dun Zeng, Shiyu Liu, Zenglin Xu
2021	J	`jnl`	FedLab: A Flexible Federated Learning Framework. CoRR Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu