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
开通时间：..
最后更新时间：..
个人简介
汪子乔，同济大学计算机科学与技术学院助理教授，博士毕业于加拿大渥太华大学。入选国家级海外高层次青年人才、上海市白玉兰海外高层次青年人才，主持国家自然科学基金青年基金项目1项，参与国家科技部重点研发计划1项。研究方向为大模型学习理论与算法设计、机器学习基础理论以及信息论。近几年主要成果发表在人工智能、机器学习及数据挖掘等相关领域国际顶级会议，涵盖NeurIPS、ICML、ICLR、UAI、AAAI、KDD、WWW等，博士论文被提名2025年加拿大人工智能协会最佳博士论文奖，以及提名2025年渥太华大学总督学术奖章和Pierre Laberge论文奖。曾担任 ICLR 2026 会议领域主席（Area Chair），2025年中国具身智能大会注册主席，以及2024 年 IEEE 北美信息论暑期学校（NASIT）联合程序主席。
更多信息请访问：https://ziqiaowanggeothe.github.io
主要研究兴趣：大模型基础理论与算法、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
暂无内容