Zhaomin Wu - RankMe

32 papers A* 6Journal 23Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling. KDD (1) Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu
2026	A*	`conf`	Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. WWW Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng
2026	J	`jnl`	ProtegoFed: Backdoor-Free Federated Instruction Tuning with Interspersed Poisoned Data. CoRR Haodong Zhao, Jinming Hu, Zhaomin Wu, Zongru Wu, Wei Du, Junyi Hou, Caibei Zhao, Zhuosheng Zhang, Bingsheng He, Gongshen Liu
2026	J	`jnl`	Reinforcement Fine-Tuning for History-Aware Dense Retriever in RAG. CoRR Yicheng Zhang, Zhen Qin, Zhaomin Wu, Wenqi Zhang, Shuiguang Deng
2025	J	`jnl`	Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts. CoRR Zhaomin Wu, Mingzhe Du, See-Kiong Ng, Bingsheng He
2025	J	`jnl`	Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems. CoRR Haodong Zhao, Jidong Li, Zhaomin Wu, Tianjie Ju, Zhuosheng Zhang, Bingsheng He, Gongshen Liu
2025	—	`conf`	Federated Data-Efficient Instruction Tuning for Large Language Models. ACL (Findings) Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2025	J	`jnl`	LLM DNA: Tracing Model Evolution via Functional Representations. CoRR Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He
2025	J	`jnl`	Learning Relational Tabular Data without Shared Features. CoRR Zhaomin Wu, Shida Wang, Ziyang Wang, Bingsheng He
2025	A*	`conf`	Model-based Large Language Model Customization as Service. EMNLP Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2025	J	`jnl`	Reward Inside the Model: A Lightweight Hidden-State Reward Model for LLM's Best-of-N sampling. CoRR Jizhou Guo, Zhaomin Wu, Philip S. Yu
2025	J	`jnl`	Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. CoRR Zhaomin Wu, Zhen Qin, Junyi Hou, Haodong Zhao, Qinbin Li, Bingsheng He, Lixin Fan
2025	J	`jnl`	WikiDBGraph: Large-Scale Database Graph of Wikidata for Collaborative Learning. CoRR Zhaomin Wu, Ziyang Wang, Bingsheng He
2024	J	`jnl`	Federated Data-Efficient Instruction Tuning for Large Language Models. CoRR Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng
2024	A*	`conf`	Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. NeurIPS Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
2024	J	`jnl`	Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data. CoRR Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
2024	J	`jnl`	Model-Based Differentially Private Knowledge Transfer for Large Language Models. CoRR Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang
2024	J	`jnl`	Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. CoRR Yicheng Zhang, Zhen Qin, Zhaomin Wu, Shuiguang Deng
2024	J	`jnl`	Practical Vertical Federated Learning With Unsupervised Representation Learning. IEEE Trans. Big Data Zhaomin Wu, Qinbin Li, Bingsheng He
2024	A*	`conf`	VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. ICLR Zhaomin Wu, Junyi Hou, Bingsheng He
2023	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE Trans. Knowl. Data Eng. Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He
2023	J	`jnl`	DeltaBoost: Gradient Boosting Decision Trees with Efficient Machine Unlearning. Proc. ACM Manag. Data Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He
2023	—	`conf`	FedTree: A Federated Learning System For Trees. MLSys Qinbin Li, Zhaomin Wu, Yanzheng Cai, Yuxuan Han, Ching Man Yung, Tianyuan Fu, Bingsheng He
2023	J	`jnl`	VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks. CoRR Zhaomin Wu, Junyi Hou, Bingsheng He
2022	A*	`conf`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. NeurIPS Zhaomin Wu, Qinbin Li, Bingsheng He
2022	J	`jnl`	Practical Vertical Federated Learning with Unsupervised Representation Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2022	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. ACM Trans. Intell. Syst. Technol. Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2021	J	`jnl`	A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning. CoRR Zhaomin Wu, Qinbin Li, Bingsheng He
2020	A*	`conf`	Privacy-Preserving Gradient Boosting Decision Trees. AAAI Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He
2020	J	`jnl`	The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems. CoRR Sixu Hu, Yuan Li, Xu Liu, Qinbin Li, Zhaomin Wu, Bingsheng He
2019	J	`jnl`	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. CoRR Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Xu Liu, Bingsheng He
2019	J	`jnl`	Privacy-Preserving Gradient Boosting Decision Trees. CoRR Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He