汪子乔
- 助理教授（长聘体系）
- 教师英文名称： Ziqiao Wang
- 教师拼音名称： Wang Ziqiao
- 电子邮箱：
- 学位： 博士学位
- 毕业院校： 渥太华大学
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个人简介
汪子乔，博士，现任同济大学计算机科学与技术学院助理教授。2024年5月博士毕业于渥太华大学电子工程与计算机科学学院，曾在加拿大国家研究委员会（2019.5-2019.12）担任科研实习生，2024年9月进入同济大学计算机科学与技术学院工作。
主要研究领域包括机器学习、统计学习原理和信息论，特别是机器学习泛化理论、领域自适应、联邦学习、可信机器学习以及大语言模型加水印等。主要科研成果发表在NeurIPS、ICML和ICLR等机器学习和人工智能顶级会议上。长期担任IEEE T-IT、T-PAMI、JASIT和TMLR等人工智能和信息论国际期刊审稿人，以及NeurIPS、ICML、ICLR、AAAI、IJCAI、AISTATS和ISIT等学术会议程序委员会委员。担任2024年北美信息论暑期学校（NASIT 2024）联合程序主席和ICLR 2026领域主席（Area Chair）。主持国家自然科学基金一项，参与科技部重点研发项目一项，博士期间曾参与加拿大国家级与省部级科研项目3项。曾获2022年加拿大自然科学与工程研究委员会（NSERC）CREATE项目的跨学科-数学和人工智能-奖学金，博士毕业论文获2025年渥太华大学总督学术奖章(科学与工程类) 和Pierre Laberge论文奖(科学类) 提名。
更多信息请访问：https://ziqiaowanggeothe.github.io
主要研究兴趣：大模型基础理论、机器学习、统计学习原理和信息论。
近年主要发表论文如下：
Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach
Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
NeurIPS 2025CHPO: Constrained Hybrid-action Policy Optimization for Reinforcement Learning
Ao Zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, and Guang Chen
NeurIPS 2025MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
Qiwen Gu, Xufei Wang, Junqiao Zhao, Siyue Tao, Tiantian Feng, Ziqiao Wang, and Guang Chen
NeurIPS 2025Distributional Information Embedding: A Framework for Multi-bit Watermarking
Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, and Yuheng Bu
APWDSIT 2025Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL
Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, and Yong Liu
ACL Findings 2025Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
Peiyi Zhang, Richong Zhang, Zhijie Nie, and Ziqiao Wang
ACL Findings 2025Generalization in Federated Learning: A Conditional Mutual Information Framework
Ziqiao Wang, Cheng Long, and Yongyi Mao
ICML 2025Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations
Fanshuang Kong, Richong Zhang, Xiaohui Guo, Junfan Chen, and Ziqiao Wang
WWW 2025
LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
Fanshuang Kong, Richong Zhang and Ziqiao Wang
KDD 2025
Generalization Bounds via Conditional f-Information
Ziqiao Wang and Yongyi Mao
NeurIPS 2024On f-Divergence Principled Domain Adaptation: An Improved Framework
Ziqiao Wang and Yongyi Mao
NeurIPS 2024Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
Ziqiao Wang and Yongyi Mao
UAI 2024On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
Fanshuang Kong, Richong Zhang, Ziqiao Wang and Yongyi Mao
AAAI 2024Cross-modal and Uni-modal Soft-label Alignment for Image-Text Retrieval
Hailang Huang, Zhijie Nie, Ziqiao Wang and Ziyu Shang
AAAI 2024Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
Ziqiao Wang and Yongyi Mao
NeurIPS 2023Tighter Information-Theoretic Generalization Bounds from Supersamples
Ziqiao Wang and Yongyi Mao
ICML 2023 (Oral, top 2.2% of submissions)Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang and Yongyi Mao
ICLR 2023Over-Training with Mixup May Hurt Generalization
Zixuan Liu*, Ziqiao Wang* (equal contribution), Hongyu Guo, and Yongyi Mao
ICLR 2023On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
Ziqiao Wang and Yongyi Mao
ICLR 2022
教育经历
[1]
2019.1 -- 2024.5
渥太华大学
电子与计算机工程
博士研究生毕业
博士学位
工作经历
[1]
2024.9 -- 至今
同济大学
助理教授
研究方向
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