Xiaojin Zhang - RankMe

60 papers A* 5A 1B 2Journal 50Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale. AAAI Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao, Xiaojin Zhang, Zhongyu Wei, Pei Fu, Zhenbo Luo, Wei Chen, Xiang Bai
2026	J	`jnl`	InsQABench: Benchmarking Chinese insurance domain question answering with large language models. Inf. Process. Manag. Lai Wei, Jing Ding, Kai Feng, Binbin Lin, Jiarui Cai, Qiushi Wang, Yu Xie, Xiaojin Zhang, Zhongyu Wei, Wei Chen
2026	J	`jnl`	KVSmooth: Mitigating Hallucination in Multi-modal Large Language Models through Key-Value Smoothing. CoRR Siyu Jiang, Feiyang Chen, Xiaojin Zhang, Kun He
2026	J	`jnl`	Perturbation-Induced Linearization: Constructing Unlearnable Data with Solely Linear Classifiers. CoRR Jinlin Liu, Wei Chen, Xiaojin Zhang
2025	J	`jnl`	AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale. CoRR Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao, Xiaojin Zhang, Zhongyu Wei, Pei Fu, Zhenbo Luo, Wei Chen, Xiang Bai
2025	B	`conf`	Beyond Right to be Forgotten: Managing Heterogeneity Side Effects Through Strategic Incentives. MobiHoc Jiaqi Shao, Tao Lin, Xiaojin Zhang, Qiang Yang, Bing Luo
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	J	`jnl`	Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning. CoRR Xiaojin Zhang, Mingcong Xu, Yiming Li, Wei Chen, Qiang Yang
2025	B	`conf`	Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study. COLING Yulin Fei, Yuhui Gao, Xingyuan Xian, Xiaojin Zhang, Tao Wu, Wei Chen
2025	A*	`conf`	FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning. AAAI Jialuo He, Wei Chen, Xiaojin Zhang
2025	J	`jnl`	FedEAT: A Robustness Optimization Framework for Federated LLMs. CoRR Yahao Pang, Xingyuan Wu, Xiaojin Zhang, Wei Chen, Hai Jin
2025	J	`jnl`	FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning. CoRR Mingcong Xu, Xiaojin Zhang, Wei Chen, Hai Jin
2025	J	`jnl`	FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization. CoRR Hongze Li, Zesheng Zhou, Zhenbiao Cao, Xinhui Li, Wei Chen, Xiaojin Zhang
2025	J	`jnl`	Grounding Foundation Models through Federated Transfer Learning: A General Framework. ACM Trans. Intell. Syst. Technol. Yan Kang, Tao Fan, Hanlin Gu, Xiaojin Zhang, Lixin Fan, Qiang Yang
2025	J	`jnl`	InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models. CoRR Jing Ding, Kai Feng, Binbin Lin, Jiarui Cai, Qiushi Wang, Yu Xie, Xiaojin Zhang, Zhongyu Wei, Wei Chen
2025	J	`jnl`	No free lunch theorem for privacy-preserving LLM inference. Artif. Intell. Xiaojin Zhang, Yahao Pang, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2025	J	`jnl`	Ten Challenging Problems in Federated Foundation Models. CoRR Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025	J	`jnl`	Ten Challenging Problems in Federated Foundation Models. IEEE Trans. Knowl. Data Eng. Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2024	J	`jnl`	A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2024	J	`jnl`	A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2024	J	`jnl`	A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning. CoRR Xiaojin Zhang, Mingcong Xu, Wei Chen
2024	J	`jnl`	Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering. CoRR Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei
2024	J	`jnl`	CauESC: A Causal Aware Model for Emotional Support Conversation. CoRR Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
2024	J	`jnl`	Corrigendum to "Improved Algorithm for Permutation Testing" [Theoretical Computer Science 986 (2024) 114316]. Theor. Comput. Sci. Xiaojin Zhang
2024	J	`jnl`	Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy. CoRR Xiaojin Zhang, Yulin Fei, Wei Chen
2024	J	`jnl`	Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study. CoRR Yulin Fei, Yuhui Gao, Xingyuan Xian, Xiaojin Zhang, Tao Wu, Wei Chen
2024	J	`jnl`	Fed-AugMix: Balancing Privacy and Utility via Data Augmentation. CoRR Haoyang Li, Wei Chen, Xiaojin Zhang
2024	J	`jnl`	Improved algorithm for permutation testing. Theor. Comput. Sci. Xiaojin Zhang
2024	J	`jnl`	MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration. CoRR Lai Wei, Wenkai Wang, Xiaoyu Shen, Yu Xie, Zhihao Fan, Xiaojin Zhang, Zhongyu Wei, Wei Chen
2024	A*	`conf`	Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
2024	J	`jnl`	No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
2024	J	`jnl`	RSL-SQL: Robust Schema Linking in Text-to-SQL Generation. CoRR Zhenbiao Cao, Yuanlei Zheng, Zhihao Fan, Xiaojin Zhang, Wei Chen, Xiang Bai
2024	J	`jnl`	Reinforcement Learning as a Catalyst for Robust and Fair Federated Learning: Deciphering the Dynamics of Client Contributions. CoRR Jialuo He, Wei Chen, Xiaojin Zhang
2024	—	`conf`	Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning. ECML/PKDD (1) Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang
2024	J	`jnl`	Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory. CoRR Xiaojin Zhang, Wei Chen
2024	J	`jnl`	VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models. CoRR Yu Liu, Lang Gao, Mingxin Yang, Yu Xie, Ping Chen, Xiaojin Zhang, Wei Chen
2023	J	`jnl`	A Game-theoretic Framework for Federated Learning. CoRR Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
2023	J	`jnl`	A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning. CoRR Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei
2023	J	`jnl`	No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Privacy in Large Language Models: Attacks, Defenses and Future Directions. CoRR Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song
2023	J	`jnl`	Probably Approximately Correct Federated Learning. CoRR Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang
2023	J	`jnl`	Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang
2023	—	`conf`	Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning. EISA Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li
2023	J	`jnl`	Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning. CoRR Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li
2023	J	`jnl`	Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR Xiaojin Zhang, Kai Chen, Qiang Yang
2023	J	`jnl`	Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2022	J	`jnl`	A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
2022	J	`jnl`	No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2022	J	`jnl`	Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
2021	A*	`conf`	Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. ICML Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
2021	J	`jnl`	Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. CoRR Chung-wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang
2021	J	`jnl`	Variance-Dependent Best Arm Identification. CoRR Pinyan Lu, Chao Tao, Xiaojin Zhang
2021	A	`conf`	Variance-dependent best arm identification. UAI Pinyan Lu, Chao Tao, Xiaojin Zhang
2020	A*	`conf`	Adaptive Double-Exploration Tradeoff for Outlier Detection. AAAI Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	J	`jnl`	Adaptive Double-Exploration Tradeoff for Outlier Detection. CoRR Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou
2020	J	`jnl`	Improved algorithm for permutation testing. CoRR Xiaojin Zhang
2019	J	`jnl`	Automatic Ensemble Learning for Online Influence Maximization. CoRR Xiaojin Zhang
2019	J	`jnl`	Contextual Combinatorial Conservative Bandits. CoRR Xiaojin Zhang, Shuai Li, Weiwen Liu
2019	J	`jnl`	Near-Optimal Algorithm for Distribution-Free Junta Testing. CoRR Xiaojin Zhang