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Xiaojin Zhang 0002
Person information
- unicode name: 张晓今
- affiliation: Huazhong University of Science and Technology, Wuhan, China
- affiliation (former): Hong Kong University of Science and Technology, Hong Kong
- affiliation (former): Chinese University of Hong Kong, Hong Kong
Other persons with the same name
- Xiaojin Zhang 0001 (aka: Xiao-Jin Zhang 0001) — China Pharmaceutical University, School of Science, Nanjing, China
- Xiaojin Zhang 0003 — Beijing Jiaotong University, China
- Xiaojin Zhang 0004 — Nanyang Technological University, School of Mechanical & Aerospace Engineering, Singapore (and 1 more)
- Xiaojin Zhang 0005 — Minjiang University, College of Computer and Control Engineering, Fuzhou, China
- Xiaojin Zhang 0006 — Zhejiang University, Department of Linguistics, China (and 1 more)
- Xiaojin Zhang 0007 — Jiangsu Normal University, School of Mathematics and Statistics, Xuzhou, China
- Xiaojin Zhang 0009 — Southeast University, National Mobile Communication Research Laboratory, Nanjing, China (and 1 more)
- Xiaojin Zhang 0010 — Zhejiang Normal University, College of Engineering, China
- Xiaojin Zhang 0011 — Lanzhou Institute of Physics, China
- Xiaojin Zhang 0012 — Tianjin University, School of Electric and Information Engineering, China
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2020 – today
- 2024
- [j6]Xiaojin Zhang:
Improved algorithm for permutation testing. Theor. Comput. Sci. 986: 114316 (2024) - [j5]Xiaojin Zhang:
Corrigendum to "Improved Algorithm for Permutation Testing" [Theoretical Computer Science 986 (2024) 114316]. Theor. Comput. Sci. 999: 114536 (2024) - [j4]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. 15(3): 52:1-52:35 (2024) - [j3]Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang:
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. 15(3): 55:1-55:36 (2024) - [c6]Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang:
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE 2024: 2231-2244 - [c5]Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang:
Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning. ECML/PKDD (1) 2024: 212-229 - [i26]Wei Chen, Hengxu Lin, Qun Zhang, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
CauESC: A Causal Aware Model for Emotional Support Conversation. CoRR abs/2401.17755 (2024) - [i25]Jialuo He, Wei Chen, Xiaojin Zhang:
Reinforcement Learning as a Catalyst for Robust and Fair Federated Learning: Deciphering the Dynamics of Client Contributions. CoRR abs/2402.05541 (2024) - [i24]Xiaojin Zhang, Yulin Fei, Wei Chen:
Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy. CoRR abs/2403.16591 (2024) - [i23]Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei:
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering. CoRR abs/2404.15805 (2024) - [i22]Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang:
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR abs/2405.20681 (2024) - [i21]Yu Liu, Lang Gao, Mingxin Yang, Yu Xie, Ping Chen, Xiaojin Zhang, Wei Chen:
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models. CoRR abs/2406.07595 (2024) - [i20]Xiaojin Zhang, Mingcong Xu, Wei Chen:
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning. CoRR abs/2407.04751 (2024) - [i19]Xiaojin Zhang, Wei Chen:
Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory. CoRR abs/2407.16735 (2024) - 2023
- [j2]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14(1): 1:1-1:35 (2023) - [j1]Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. 14(6): 98:1-98:32 (2023) - [c4]Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li:
Toward the Tradeoffs Between Privacy, Fairness and Utility in Federated Learning. EISA 2023: 118-132 - [i18]Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang:
Probably Approximately Correct Federated Learning. CoRR abs/2304.04641 (2023) - [i17]Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang:
A Game-theoretic Framework for Federated Learning. CoRR abs/2304.05836 (2023) - [i16]Xiaojin Zhang, Kai Chen, Qiang Yang:
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion. CoRR abs/2305.04288 (2023) - [i15]Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang:
Theoretically Principled Federated Learning for Balancing Privacy and Utility. CoRR abs/2305.15148 (2023) - [i14]Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang:
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR abs/2305.18400 (2023) - [i13]Haoran Li, Yulin Chen, Jinglong Luo, Yan Kang, Xiaojin Zhang, Qi Hu, Chunkit Chan, Yangqiu Song:
Privacy in Large Language Models: Attacks, Defenses and Future Directions. CoRR abs/2310.10383 (2023) - [i12]Kangkang Sun, Xiaojin Zhang, Xi Lin, Gaolei Li, Jing Wang, Jianhua Li:
Toward the Tradeoffs between Privacy, Fairness and Utility in Federated Learning. CoRR abs/2311.18190 (2023) - [i11]Wei Chen, Gang Zhao, Xiaojin Zhang, Xiang Bai, Xuanjing Huang, Zhongyu Wei:
K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning. CoRR abs/2312.10371 (2023) - 2022
- [i10]Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang:
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR abs/2203.05816 (2022) - [i9]Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang:
Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR abs/2209.00230 (2022) - [i8]Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang:
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR abs/2209.03885 (2022) - 2021
- [c3]Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang:
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. ICML 2021: 6142-6151 - [c2]Pinyan Lu, Chao Tao, Xiaojin Zhang:
Variance-dependent best arm identification. UAI 2021: 1120-1129 - [i7]Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang:
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. CoRR abs/2102.05858 (2021) - [i6]Pinyan Lu, Chao Tao, Xiaojin Zhang:
Variance-Dependent Best Arm Identification. CoRR abs/2106.10417 (2021) - 2020
- [c1]Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou:
Adaptive Double-Exploration Tradeoff for Outlier Detection. AAAI 2020: 6837-6844 - [i5]Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou:
Adaptive Double-Exploration Tradeoff for Outlier Detection. CoRR abs/2005.06092 (2020) - [i4]Xiaojin Zhang:
Improved algorithm for permutation testing. CoRR abs/2006.08473 (2020)
2010 – 2019
- 2019
- [i3]Xiaojin Zhang:
Automatic Ensemble Learning for Online Influence Maximization. CoRR abs/1911.10728 (2019) - [i2]Xiaojin Zhang:
Near-Optimal Algorithm for Distribution-Free Junta Testing. CoRR abs/1911.10833 (2019) - [i1]Xiaojin Zhang, Shuai Li, Weiwen Liu:
Contextual Combinatorial Conservative Bandits. CoRR abs/1911.11337 (2019)
Coauthor Index
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last updated on 2024-09-19 23:43 CEST by the dblp team
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