Zhang, Haozhen

9 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 GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs Tao Feng, Haozhen Zhang, Zijie Lei, Peixuan Han, Jiaxuan You

ICLR 2026 Online Black-Box Prompt Optimization with Regret Guarantees Under Noisy Feedback Jinjie Fang, Runwen You, Wanli Shi, Wenkang Wang, Ganyu Wang, Haozhen Zhang, Yi Chang, Bin Gu

TMLR 2025 AcademicEval: Live Long-Context LLM Benchmark Haozhen Zhang, Tao Feng, Pengrui Han, Jiaxuan You

ICLR 2025 Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang

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

AAAI 2025 Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model Haozhen Zhang, Haodong Yue, Xi Xiao, Le Yu, Qing Li, Zhen Ling, Ye Zhang

NeurIPS 2025 Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning Haozhen Zhang, Tao Feng, Jiaxuan You