Huishuai Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
15
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models. | Xin Cheng, Wangding Zeng, Damai Dai, Qinyu Chen, Bingxuan Wang, Zhenda Xie, Kezhao Huang, Xingkai Yu, Zhewen Hao, Han Zhang, Yukun Li, Huishuai Zhang, Dongyan Zhao, Wenfeng Liang |
| 2026 | ACL | Shorten After You're Right: Lazy Length Penalties for Reasoning RL. | Danlong Yuan, Tian Xie, Shaohan Huang, Huishuai Zhang, Zhuocheng Gong, Chong Luo, Furu Wei, Dongyan Zhao |
| 2026 | ACL | De-Anonymization at Scale via Tournament-Style Attribution. | Lirui Zhang, Huishuai Zhang |
| 2025 | ACL | Efficient Domain Continual pretraining by Mitigating the Stability Gap. | Yiduo Guo, Jie Fu, Huishuai Zhang, Dongyan Zhao |
| 2025 | EMNLP | VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format. | Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Jiansheng Wei, Huishuai Zhang, Dongyan Zhao |
| 2025 | EMNLP | ReMamba: Equip Mamba with Effective Long-Sequence Modeling. | Danlong Yuan, Jiahao Liu, Bei Li, Huishuai Zhang, Jingang Wang, Xunliang Cai, Dongyan Zhao |
| 2025 | EMNLP | English as Defense Proxy: Mitigating Multilingual Jailbreak via Eliciting English Safety Knowledge. | Zekai Zhang, Yiduo Guo, Jiuheng Lin, Shanghaoran Quan, Huishuai Zhang, Dongyan Zhao |
| 2025 | EMNLP | AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training. | Huishuai Zhang, Bohan Wang, Luoxin Chen |
| 2025 | ICML | Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes. | Zhuocheng Gong, Jian Guan, Wei Wu, Huishuai Zhang, Dongyan Zhao |
| 2025 | ICML | Understanding Nonlinear Implicit Bias via Region Counts in Input Space. | Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang |
| 2025 | IJCAI | Understanding Visual Detail Hallucinations of Large Vision-Language Models. | Xiaoxi Sun, Jianxin Liang, Yueqian Wang, Huishuai Zhang, Dongyan Zhao |
| 2025 | NAACL | ReasVQA: Advancing VideoQA with Imperfect Reasoning Process. | Jianxin Liang, Xiaojun Meng, Huishuai Zhang, Yueqian Wang, Jiansheng Wei, Dongyan Zhao |
| 2024 | EMNLP | Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. | Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan |
| 2024 | ICML | 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 |
| 2024 | KDD | Provable Adaptivity of Adam under Non-uniform Smoothness. | Bohan Wang, Yushun Zhang, Huishuai Zhang, Qi Meng, Ruoyu Sun, Zhi-Ming Ma, Tie-Yan Liu, Zhi-Quan Luo, Wei Chen |
| 2023 | AAAI | 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 |
| 2023 | AISTATS | Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks. | Huishuai Zhang, Da Yu, Yiping Lu, Di He |
| 2023 | COLT | Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions. | Bohan Wang, Huishuai Zhang, Zhiming Ma, Wei Chen |
| 2023 | ICDE | UADB: Unsupervised Anomaly Detection Booster. | Hangting Ye, Zhining Liu, Xinyi Shen, Wei Cao, Shun Zheng, Xiaofan Gui, Huishuai Zhang, Yi Chang, Jiang Bian |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Denoising Masked Autoencoders Help Robust Classification. | Quanlin Wu, Hang Ye, Yuntian Gu, Huishuai Zhang, Liwei Wang, Di He |
| 2022 | CVPR | 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 |
| 2022 | ICLR | 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 |
| 2022 | ICML | Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. | Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama |
| 2022 | KDD | Availability Attacks Create Shortcuts. | Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2021 | AAAI | How Does Data Augmentation Affect Privacy in Machine Learning? | Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2021 | ICLR | Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning. | Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu |
| 2021 | ICML | Large Scale Private Learning via Low-rank Reparametrization. | Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2020 | ICML | 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, Tie-Yan Liu |
| 2020 | IJCAI | Gradient Perturbation is Underrated for Differentially Private Convex Optimization. | Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu |
| 2019 | AAAI | Capacity Control of ReLU Neural Networks by Basis-Path Norm. | Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu, Tie-Yan Liu |
| 2019 | ICLR | 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 |
| 2019 | ICLR | SGD Converges to Global Minimum in Deep Learning via Star-convex Path. | Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh |
| 2019 | IJCAI | BN-invariant Sharpness Regularizes the Training Model to Better Generalization. | Mingyang Yi, Huishuai Zhang, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu |
| 2016 | ICML | Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow. | Huishuai Zhang, Yuejie Chi, Yingbin Liang |
| 2015 | ISIT | Secret key capacity: Talk or keep silent? | Huishuai Zhang, Yingbin Liang, Lifeng Lai |
| 2015 | ISIT | Two-key generation for a cellular model with a helper. | Huishuai Zhang, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2014 | ACSSC | Helper-assisted asymmetric two key generation. | Huishuai Zhang, Yingbin Liang, Lifeng Lai |
| 2014 | ISIT | Secret key-private key generation over three terminals: Capacity region. | Huishuai Zhang, Lifeng Lai, Yingbin Liang, Hua Wang |
| 2014 | ITW | Key capacity region for a cellular source model. | Huishuai Zhang, Yingbin Liang, Lifeng Lai |