Hanzhen Zhao

According to our database, Hanzhen Zhao authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Anisotropic Modality Align.

Xiaomin Yu, Yijiang Li, Yuhui Zhang, Hanzhen Zhao, Yue Yang, Hao Tang, Yue Song, Xiaobin Hu, Chengwei Qin, Shuicheng Yan, Hui Xiong

CoRR, May, 2026

Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models.

Xiaomin Yu, Yi Xin, Wenjie Zhang, Chonghan Liu, Hanzhen Zhao, Xiaoxing Hu, Xinlei Yu, Ziyue Qiao, Hao Tang, Xue Yang, Xiaobin Hu, Chengwei Qin, Hui Xiong, Yu Qiao, Shuicheng Yan

CoRR, February, 2026

2025

DiP: Taming Diffusion Models in Pixel Space.

Zhennan Chen, Junwei Zhu, Xu Chen, Jiangning Zhang, Xiaobin Hu, Hanzhen Zhao, Chengjie Wang, Jian Yang, Ying Tai

CoRR, November, 2025

Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression.

Shihong Ding, Haihan Zhang, Hanzhen Zhao, Cong Fang

CoRR, February, 2025

PaZO: Preconditioned Accelerated Zeroth-Order Optimization for Fine-Tuning LLMs.

Hanzhen Zhao, Shihong Ding, Cong Fang, Zhouchen Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process.

Hanzhen Zhao, Xingyu Xie, Cong Fang, Zhouchen Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Accelerated Gradient Algorithms with Adaptive Subspace Search for Instance-Faster Optimization.

Yuanshi Liu, Hanzhen Zhao, Yang Xu, Pengyun Yue, Cong Fang

CoRR, 2023

CORE: Common Random Reconstruction for Distributed Optimization with Provable Low Communication Complexity.

Pengyun Yue, Hanzhen Zhao, Cong Fang, Di He, Liwei Wang, Zhouchen Lin, Song-Chun Zhu

CoRR, 2023