Wang, Ziqiao

23 publications

NeurIPS 2025 CHPO: Constrained Hybrid-Action Policy Optimization for Reinforcement Learning Ao Zhou, Jiayi Guan, Li Shen, Fan Lu, Sanqing Qu, Junqiao Zhao, Ziqiao Wang, Ya Wu, Guang Chen

ICLRW 2025 Distributional Information Embedding: A Framework for Multi-Bit Watermarking Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu

ICML 2025 Generalization in Federated Learning: A Conditional Mutual Information Framework Ziqiao Wang, Cheng Long, Yongyi Mao

NeurIPS 2025 MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering Qiwen Gu, Xufei Wang, Junqiao Zhao, Siyue Tao, Tiantian Feng, Ziqiao Wang, Guang Chen

NeurIPS 2025 Neural-Driven Image Editing Pengfei Zhou, Jie Xia, Xiaopeng Peng, Wangbo Zhao, Zilong Ye, Zekai Li, Suorong Yang, Jiadong Pan, Yuanxiang Chen, Ziqiao Wang, Kai Wang, Qian Zheng, Xiaojun Chang, Gang Pan, Shurong Dong, Kaipeng Zhang, Yang You

NeurIPS 2025 REPA Works Until It Doesn’t: Early-Stopped, Holistic Alignment Supercharges Diffusion Training Ziqiao Wang, Wangbo Zhao, Yuhao Zhou, Zekai Li, Zhiyuan Liang, Mingjia Shi, Xuanlei Zhao, Pengfei Zhou, Kaipeng Zhang, Zhangyang Wang, Kai Wang, Yang You

NeurIPS 2025 Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu

ICLRW 2025 Theoretically Grounded Framework for LLM Watermarking: A Distribution-Adaptive Approach Haiyun He, Yepeng Liu, Ziqiao Wang, Yongyi Mao, Yuheng Bu

ICLRW 2025 Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu

AAAI 2024 Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval Hailang Huang, Zhijie Nie, Ziqiao Wang, Ziyu Shang

NeurIPS 2024 Generalization Bounds via Conditional $f$-Information Ziqiao Wang, Yongyi Mao

NeurIPS 2024 On $f$-Divergence Principled Domain Adaptation: An Improved Framework Ziqiao Wang, Yongyi Mao

AAAI 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning Fanshuang Kong, Richong Zhang, Ziqiao Wang, Yongyi Mao

UAI 2024 Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States Ziqiao Wang, Yongyi Mao

ICLR 2023 Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang, Yongyi Mao

ICLR 2023 Over-Training with Mixup May Hurt Generalization Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao

NeurIPS 2023 Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds Ziqiao Wang, Yongyi Mao

ICML 2023 Tighter Information-Theoretic Generalization Bounds from Supersamples Ziqiao Wang, Yongyi Mao

NeurIPSW 2023 Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States Ziqiao Wang, Yongyi Mao

IJCAI 2022 Cluster Attack: Query-Based Adversarial Attacks on Graph with Graph-Dependent Priors Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu

ICLR 2022 On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications Ziqiao Wang, Yongyi Mao

NeurIPSW 2022 Over-Training with Mixup May Hurt Generalization Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao

CVPRW 2021 Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang