Liu, Zhaogeng

5 publications

ICLR 2026 Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models Hanyuan Zheng, Haozhen Zhang, Tianshuo Chen, Zhaogeng Liu, Yi Chang, Bin Gu

ICLR 2026 Three Forward, One Backward: Memory-Efficient Full-Rank Fine-Tuning of Large Models via Extra Forward Passes Jia Zhang, Yu Bai, Hualin Zhang, Tianshuo Chen, Zhaogeng Liu, Zhiqiang Xu, Yi Chang, Bin Gu

AAAI 2025 Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang

CVPR 2025 Query Efficient Black-Box Visual Prompting with Subspace Learning Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang

CVPRW 2022 Faster, Lighter, Robuster: A Weakly-Supervised Crowd Analysis Enhancement Network and a Generic Feature Extraction Framework Shaokai Wu, Zhaogeng Liu, Wencheng Pei, Jianbo Hong, Zhanshan Li