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Haishan Ye
Observed name:
Ye, Haishan
Institutions:
State Grid Corporation of China (China),
Shanghai Jiao Tong University,
Xi'an Jiaotong University
Observed institutions:
State Grid Corporation of China (China),
Chinese University of Hong Kong,
Shanghai Jiao Tong University,
Hong Kong University of Science and Technology,
Shenzhen Research Institute of Big Data,
Chinese University of Hong Kong, Shenzhen,
Xi'an Jiaotong University
show all 7
ORCID:
0000-0002-0242-4857
Observed ORCIDs:
0000-0002-0242-4857,
0000-0001-9361-4906
OpenAlex ID:
A5029403877
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
2020
·
Chaoyang He
, Haishan Ye
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
133
PDF
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
2020
·
Luo, Luo
, Ye, Haishan
, et al.
·
arXiv (Cornell University)
·
52
PDF
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
2018
·
Ye, Haishan
, Huang, Zhichao
, et al.
·
arXiv (Cornell University)
·
49
PDF
Multi-consensus Decentralized Accelerated Gradient Descent
2020
·
Ye, Haishan
, Luo, Luo
, et al.
·
arXiv (Cornell University)
·
48
PDF
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
2024
·
Zhao, Yanjun
, Dang, Sizhe
, et al.
·
arXiv (Cornell University)
·
34
PDF
Fast Fisher discriminant analysis with randomized algorithms
2017
·
Haishan Ye
, Yujun Li
, et al.
·
Pattern Recognition
·
28
Approximate Newton methods and their local convergence
2017
·
Haishan Ye
, Luo Luo
, et al.
·
International Conference on Machine Learning
·
21
FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed
2025
·
Dang, Sizhe
, Guo, Yangyang
, et al.
·
arXiv (Cornell University)
·
16
PDF
PMGT-VR: A Decentralized Proximal-Gradient Algorithmic Framework With Variance Reduction
2025
·
Haishan Ye
, Wei Xiong
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
15
PDF
Towards explicit superlinear convergence rate for SR1
2022
·
Haishan Ye
, Dachao Lin
, et al.
·
Mathematical Programming
·
15
PDF
Explicit Superlinear Convergence Rates of Broyden's Methods in Nonlinear Equations
2021
·
Lin, Dachao
, Ye, Haishan
, et al.
·
arXiv (Cornell University)
·
13
PDF
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
2022
·
Chen, Lesi
, Ye, Haishan
, et al.
·
arXiv (Cornell University)
·
12
PDF
Decentralized accelerated proximal gradient descent
2020
·
Haishan Ye
, Ziang Zhou
, et al.
·
Rare & Special e-Zone (The Hong Kong University of Science and Technology)
·
11
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
2023
·
Chen, Jun
, Ye, Haishan
, et al.
·
arXiv (Cornell University)
·
10
PDF
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
2021
·
Ye, Haishan
, Zhang, Tong
·
arXiv (Cornell University)
·
10
PDF
Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection
2025
·
Chang, Xiangyu
, Dai, Guang
, et al.
·
arXiv (Cornell University)
·
9
PDF
Accelerated Distributed Approximate Newton Method
2022
·
Haishan Ye
, Chaoyang He
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
9
Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods
2021
·
Lin, Dachao
, Ye, Haishan
, et al.
·
arXiv (Cornell University)
·
9
PDF
Greedy and Random Broyden's Methods with Explicit Superlinear Convergence Rates in Nonlinear Equations
2021
·
Ye, Haishan
, Lin, Dachao
, et al.
·
arXiv (Cornell University)
·
8
PDF
Accelerated Proximal Subsampled Newton Method
2020
·
Haishan Ye
, Luo Luo
, et al.
·
IEEE Transactions on Neural Networks and Learning Systems
·
7
Approximate Newton Methods
2017
·
Ye, Haishan
, Luo, Luo
, et al.
·
arXiv (Cornell University)
·
7
PDF
Numerical Sensitivity and Robustness: Exploring the Flaws of Mathematical Reasoning in Large Language Models
2025
·
Sun, Zhishen
, Dai, Guang
, et al.
·
arXiv (Cornell University)
·
5
PDF
Nesterov's Acceleration For Approximate Newton
2020
·
Haishan Ye
, Luo Luo
, et al.
·
Rare & Special e-Zone (The Hong Kong University of Science and Technology)
·
5
Accelerating Random Kaczmarz Algorithm Based on Clustering Information
2016
·
Yujun Li
, Kaichun Mo
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
5
ESSAM: A Novel Competitive Evolution Strategies Approach to Reinforcement Learning for Memory Efficient LLMs Fine-Tuning
2026
·
Sun, Zhishen
, Dang, Sizhe
, et al.
·
arXiv (Cornell University)
·
4
PDF
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Works count:
70
Citation count:
584
H-index:
12
I10-index:
15
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