Zhang, Huishuai

48 publications

ICLR 2026 FREAK: A Fine-Grained Hallucination Evaluation Benchmark for Advanced MLLMs Zhihan Yin, Jianxin Liang, Yueqian Wang, Yifeng Yao, Huishuai Zhang, Dongyan Zhao

ICLR 2026 MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning Yueqian Wang, Songxiang Liu, Disong Wang, Nuo Xu, Wan Guanglu, Huishuai Zhang, Dongyan Zhao

ICML 2025 Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes Zhuocheng Gong, Jian Guan, Wei Wu, Huishuai Zhang, Dongyan Zhao

NeurIPS 2025 Synthesize Privacy-Preserving High-Resolution Images via Private Textual Intermediaries Haoxiang Wang, Zinan Lin, Da Yu, Huishuai Zhang

ICML 2025 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

IJCAI 2025 Understanding Visual Detail Hallucinations of Large Vision-Language Models Xiaoxi Sun, Jianxin Liang, Yueqian Wang, Huishuai Zhang, Dongyan Zhao

TMLR 2025 \copyright Plug-in Authorization for Human Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

ICMLW 2024 Automatic Jailbreaking of the Text-to-Image Generative AI Systems Minseon Kim, Hyomin Lee, Boqing Gong, Huishuai Zhang, Sung Ju Hwang

ICML 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICLRW 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin

ICMLW 2024 Gradient Descent with Polyak’s Momentum Finds Flatter Minima via Large Catapults Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun

TMLR 2024 Selective Pre-Training for Private Fine-Tuning Da Yu, Sivakanth Gopi, Janardhan Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang

ICMLW 2024 Understanding Nonlinear Implicit Bias via Region Counts in Input Space Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang

NeurIPS 2024 xRAG: Extreme Context Compression for Retrieval-Augmented Generation with One Token Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao

ICLRW 2024 ©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model Chao Zhou, Huishuai Zhang, Jiang Bian, Weiming Zhang, Nenghai Yu

AISTATS 2023 Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks Huishuai Zhang, Da Yu, Yiping Lu, Di He

NeurIPS 2023 Closing the Gap Between the Upper Bound and Lower Bound of Adam's Iteration Complexity Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen

COLT 2023 Convergence of AdaGrad for Non-Convex Objectives: Simple Proofs and Relaxed Assumptions Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen

ICLR 2023 Denoising Masked Autoencoders Help Robust Classification QuanLin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He

NeurIPS 2023 DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation Kaipeng Zheng, Huishuai Zhang, Weiran Huang

ICLR 2023 Exploring the Limits of Differentially Private Deep Learning with Group-Wise Clipping Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian

NeurIPS 2023 FD-Align: Feature Discrimination Alignment for Fine-Tuning Pre-Trained Models in Few-Shot Learning Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang

TMLR 2023 Individual Privacy Accounting for Differentially Private Stochastic Gradient Descent Da Yu, Gautam Kamath, Janardhan Kulkarni, Tie-Yan Liu, Jian Yin, Huishuai Zhang

NeurIPSW 2023 Large Catapults in Momentum Gradient Descent with Warmup: An Empirical Study Prin Phunyaphibarn, Junghyun Lee, Bohan Wang, Huishuai Zhang, Chulhee Yun

NeurIPS 2023 On the Generalization Properties of Diffusion Models Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian

AAAI 2023 Similarity Distribution Based Membership Inference Attack on Person Re-Identification Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao

NeurIPSW 2023 Training Private and Efficient Language Models with Synthetic Data from LLMs Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang

ICML 2022 Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama

ICLR 2022 Differentially Private Fine-Tuning of Language Models Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang

NeurIPS 2022 Does Momentum Change the Implicit Regularization on Separable Data? Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

MLJ 2022 Stabilize Deep ResNet with a Sharp Scaling Factor Τ Huishuai Zhang, Da Yu, Mingyang Yi, Wei Chen, Tie-Yan Liu

CVPR 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu

MLJ 2022 Understanding Generalization Error of SGD in Nonconvex Optimization Yi Zhou, Yingbin Liang, Huishuai Zhang

ICLR 2021 Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu

AAAI 2021 How Does Data Augmentation Affect Privacy in Machine Learning? Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

ICML 2021 Large Scale Private Learning via Low-Rank Reparametrization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

NeurIPS 2021 Optimizing Information-Theoretical Generalization Bound via Anisotropic Noise of SGLD Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

IJCAI 2020 Gradient Perturbation Is Underrated for Differentially Private Convex Optimization Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

ICML 2020 On Layer Normalization in the Transformer Architecture Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tieyan Liu

IJCAI 2019 BN-Invariant Sharpness Regularizes the Training Model to Better Generalization Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu

AAAI 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu

ICLR 2019 G-SGD: Optimizing ReLU Neural Networks in Its Positively Scale-Invariant Space Qi Meng, Shuxin Zheng, Huishuai Zhang, Wei Chen, Qiwei Ye, Zhi-Ming Ma, Nenghai Yu, Tie-Yan Liu

ICLR 2019 SGD Converges to Global Minimum in Deep Learning via Star-Convex Path Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh

NeurIPS 2018 On the Local Hessian in Back-Propagation Huishuai Zhang, Wei Chen, Tie-Yan Liu

JMLR 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms Huishuai Zhang, Yingbin Liang, Yuejie Chi

ICML 2016 Provable Non-Convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow Huishuai Zhang, Yuejie Chi, Yingbin Liang

NeurIPS 2016 Reshaped Wirtinger Flow for Solving Quadratic System of Equations Huishuai Zhang, Yingbin Liang

NeurIPS 2015 Analysis of Robust PCA via Local Incoherence Huishuai Zhang, Yi Zhou, Yingbin Liang