张晓今
Xiaojin Zhang
Computer Science and Technology
Huazhong University of Science and Technology
Wuhan,China
xiaojinzhang@hust.edu.cn
Bio
I am an assistant professor at Huazhong University of Science and Technology (HUST). My hometown is Xiangyang, Hubei, known as “the first city of the Huaxia”. I was a Postdoctoral Fellow at CSE, HKUST. I am very fortunate to be advised by Prof. Qiang Yang and co-advised by Prof. Kai Chen. In 2021, I completed my PhD at CSE, CUHK. My advisors were Prof. Shengyu Zhang and Prof. Siu On Chan. Before that, I obtained my M.S. in Computer Application Technology from the Institute of Computing Technology, the Chinese Academy of Sciences, with the supervision of Prof. Si-Min He. I obtained my B.S. in Statistics and Economics (Elite Class) from the School of Mathematics and Statistics, Shandong University, Weihai.
I like designing efficient algorithms. I have broad interests in classical theoretical computer science and modern machine learning.
Please feel free to email me if you are interested in working with me on trustworthy machine learning. Working on one project at a time with the same partner is my preferred way of collaboration.
My principle: You gotta do what you love. My belief: A good character is the best tombstone. Those who loved you and were helped by you will remember you when forget-me-nots have withered. Carve your name on hearts, not on marble.
Selected Preprints
Reinforcement Learning as a Catalyst for Robust and Fair Federated Learning: Deciphering the Dynamics of Client Contributions
Jialuo He, Wei Chen, Xiaojin Zhang.
A Multimodal-reinforced Deep Learning Approach Guided Hunting for Drug Co-assembly and Validation
Meijing Liu#, Xinhang Hou#, Xiaojin Zhang#, Wei Chen, Zhiheng Chen, Shuang Li, Yi Cui, Daliang Huo, Zekun Cai, Yujie Qin, Yanhua Sun, Qingmin Yang, Chao Liu, Xiaogang Wang.
Theoretically Principled Federated Learning for Balancing Privacy and Utility
Xiaojin Zhang, Wenjie Li, Kai Chen, Shutao Xia, Qiang Yang.
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang.
Near-optimal Algorithm for Distribution-free Junta Testing
Xiaojin Zhang.
Blurb on Property Testing Review. We made progress on a series of works published at STOC/FOCS/SODA.Selected Publications
* indicates alphabetic ordering, # indicates equal contributions.
No Free Lunch Theorem for Privacy-Preserving LLM Inference
Xiaojin Zhang, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang.
Artificial Intelligence [AI] [CCF A] (accept with revision).Towards Achieving Near-optimal Utility for Privacy-preserving Federated Learning via Data Generation and Parameter Distortion
Xiaojin Zhang, Qiang Yang.
Artificial Intelligence [AI] [CCF A] (accept with revision).Model Trip: Enhancing Privacy and Fairness in Model Fusion across Multi-Federations for Trustworthy Global Healthcare
Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Lixin Fan, and Qiang Yang.
40th lEEE International Conference on Data Engineering [ICDE 2024] [CCF A].A Meta Framework for Tuning Hyperparameters of Protection Mechanisms in Trustworthy Federated Learning
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang.
Transactions on Intelligent Systems and Technology [TIST] [JCR Q1 and CCF B].A Game-theoretic Framework for Federated Learning
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang.
Transactions on Intelligent Systems and Technology [TIST 2023] [JCR Q1 and CCF B].Improved Algorithm for Permutation Testing
Xiaojin Zhang.
Theoretical Computer Science [TCS 2023] [CCF B]. We made progress on a series of works published at STOC/FOCS/SODA..Trading Off Privacy, Utility and Efficiency in Federated Learning
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang.
Transactions on Intelligent Systems and Technology [TIST 2023] [JCR Q1 and CCF B].No Free Lunch Theorem for Security and Utility in Federated Learning
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang.
Transactions on Intelligent Systems and Technology [TIST 2022] [JCR Q1 and CCF B]. PDFVariance-Dependent Best Arm Identification
Pinyan Lu*, Chao Tao*, Xiaojin Zhang*. [alphabetic ordering]
In Proceedings of the Conference on Uncertainty in Artificial Intelligence [UAI 2021] [CCF A]. PDFAchieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung-Wei Lee*, Haipeng Luo*, Chen-Yu Wei*, Mengxiao Zhang*, Xiaojin Zhang*. [alphabetic ordering]
In Proceedings of the 36th International Conference on Machine Learning [ICML 2021] [CCF A]. PDFAdaptive Double-Exploration Tradeoff for Outlier Detection
Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou.
The Thirty-Fourth AAAI Conference on Artificial Intelligence [AAAI 2020] [CCF A]. PDFpGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification
Ming-Qi Liu#, Wen-Feng Zeng#, Pan Fang#, Wei-Qian Cao#, Chao Liu#, Guo-Quan Yan, Yang Zhang, Chao Peng, Jian-Qiang Wu, Xiao-Jin Zhang, Hui-Jun Tu, Hao Chi, Rui-Xiang Sun, Yong Cao, Meng-Qiu Dong, Bi-Yun Jiang, Jiang-Ming Huang, Hua-Li Shen, Catherine C. L. Wong, Si-Min He, Peng-Yuan Yang.
Nature Communications, 8, 438, 2017. PDFTrends in Mass Spectrometry-Based Large-Scale N-Glycopeptides Analysis
Wen-Feng Zeng, Yang Zhang, Ming-Qi Liu, Jian-Qiang Wu, Xiao-Jin Zhang, Hao Yang, Chao Liu, Hao Chi, Kun Zhang, Rui-Xiang Sun, Peng-Yuan Yang, Si-Min He.
Progress in Biochemistry and Biophysics, 2016, 43(6):550-562. PDFAcademic Activities
Reviewer/ Program Committee/ Session Chair
UAI/IJCAI/NeurIPS/ICLR/ECC/ICMLA/SmartCloud/Algorithms/TIST/TETCI/TMC/Neural Networks
Workshop Chair
ISAICS (International Symposium on AI and Cybersecurity)/ BDDM (International Conference on Big Data and Data Mining)
Patents
A comprehensive system for constructing N-glycan databases based on linear canonical representations
Xiao-Jin Zhang, Wen-Feng Zeng, Jian-Qiang Wu, Rui-Xiang Sun, Si-Min He.
PDFA comprehensive system for intact glycopeptide identification
Wen-Feng Zeng, Ming-Qi Liu, Xiao-Jin Zhang, Jian-Qiang Wu, Yang Zhang, Rui-Xiang Sun, Peng-Yuan Yang, Si-Min He.
PDFSelected Awards
2017-2021 Postgraduate Studentship, CUHK
06/2017 Excellent Master's Thesis
04/2013 The Mathematical Contest in Modeling (MCM), Honorable Mentions
10/2012 China Undergraduate Mathematical Contest of Modeling (CUMCM), National First Prize
11/2011 National Scholarship
05/2011 Aerobic Gymnastics, Second Prize in College
Patents
A comprehensive system for constructing N-glycan databases based on linear canonical representations
Xiao-Jin Zhang, Wen-Feng Zeng, Jian-Qiang Wu, Rui-Xiang Sun, Si-Min He.
PDFA comprehensive system for intact glycopeptide identification
Wen-Feng Zeng, Ming-Qi Liu, Xiao-Jin Zhang, Jian-Qiang Wu, Yang Zhang, Rui-Xiang Sun, Peng-Yuan Yang, Si-Min He.
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