| 2026 | AAAI | Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. | Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai |
| 2025 | ICLR | ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs. | Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2025 | ICLR | Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. | Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang |
| 2024 | AISTATS | An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization. | Lesi Chen, Haishan Ye, Luo Luo |
| 2024 | ICLR | Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. | Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu |
| 2024 | ICML | Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. | Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2024 | ICML | Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. | Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang |
| 2024 | ICML | Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? | Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang |
| 2022 | ICLR | Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums. | Rui Pan, Haishan Ye, Tong Zhang |
| 2021 | AAAI | Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. | Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye |
| 2020 | CVPR | MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. | Chaoyang He, Haishan Ye, Li Shen, Tong Zhang |
| 2017 | ICML | Approximate Newton Methods and Their Local Convergence. | Haishan Ye, Luo Luo, Zhihua Zhang |
| 2016 | AAAI | Accelerating Random Kaczmarz Algorithm Based on Clustering Information. | Yujun Li, Kaichun Mo, Haishan Ye |