张晓今

Xiaojin Zhang

Postdoctoral Fellow

Computer Science and Engineering

The Hong Kong University of Science and Technology

xiaojinzhang@ust.hk

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I am a Postdoctoral Fellow at CSE, HKUST. I am very fortunate to be advised by Prof. Qiang Yang and 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.

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning

Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang.

Trading Off Privacy, Utility and Efficiency in Federated Learning

Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang.

A Game-theoretic Utility Model for Federated Learning

Xiaojin Zhang, Lixin Fan, Siwei Wang, Yongxin Tong, Kai Chen, Qiang Yang.

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] (To appear). PDF
Variance-Dependent Best Arm Identification

Pinyan Lu*, Chao Tao*, Xiaojin Zhang*.

In Proceedings of the Conference on Uncertainty in Artificial Intelligence [UAI 2021]. PDF
Achieving 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*.

In Proceedings of the 36th International Conference on Machine Learning [ICML 2021]. PDF
Adaptive Double-Exploration Tradeoff for Outlier Detection

Xiaojin Zhang, Honglei Zhuang, Shengyu Zhang, Yuan Zhou.

The Thirty-Fourth AAAI Conference on Artificial Intelligence [AAAI 2020]. PDF
pGlyco 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. PDF
Trends 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. PDF
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
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.

PDF
A 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.

PDF