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Hualin Zhang
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2020 – today
- 2024
- [j1]Bin Gu, Xiyuan Wei, Hualin Zhang, Yi Chang, Heng Huang:
Obtaining Lower Query Complexities Through Lightweight Zeroth-Order Proximal Gradient Algorithms. Neural Comput. 36(5): 897-935 (2024) - [c8]Xinyue Liu, Hualin Zhang, Bin Gu, Hong Chen:
General Stability Analysis for Zeroth-Order Optimization Algorithms. ICLR 2024 - [c7]Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu:
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. IJCAI 2024: 3989-3997 - [c6]Haozhen Zhang
, Hualin Zhang
Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. KDD 2024: 4179-4190 - [i3]Chengqian Gao, William de Vazelhes, Hualin Zhang, Bin Gu, Zhiqiang Xu:
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. CoRR abs/2405.01615 (2024) - 2023
- [c5]Hualin Zhang, Bin Gu:
Faster Gradient-Free Methods for Escaping Saddle Points. ICLR 2023 - [c4]Xiaohan Zhao, Hualin Zhang, Zhouyuan Huo, Bin Gu:
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism. NeurIPS 2023 - 2022
- [c3]William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu:
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. NeurIPS 2022 - [c2]Hualin Zhang, Huan Xiong, Bin Gu:
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients. NeurIPS 2022 - [i2]Hualin Zhang, Huan Xiong, Bin Gu:
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients. CoRR abs/2210.01496 (2022) - [i1]William de Vazelhes, Hualin Zhang, Huimin Wu, Xiao-Tong Yuan, Bin Gu:
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity. CoRR abs/2210.05279 (2022) - 2021
- [c1]Shudong Liu
Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction. NLPCC (1) 2021: 517-528
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