Haozhen Zhang

According to our database, Haozhen Zhang authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

ExpGraph: Model-Agnostic Experience Learning with Graph-Structured Memory for LLM Agents.

Tao Feng, Chongrui Ye, Tianyang Luo, Jingjun Xu, Xueqiang Xu, Haozhen Zhang, Zhigang Hua, Yan Xie, Shuang Yang, Ge Liu, Jiaxuan You

CoRR, May, 2026

ElasticMem: Latent Memory as a Learnable Resource for LLM Agents.

Tao Feng, Chongrui Ye, Tianyang Luo, Jingjun Xu, Xueqiang Xu, Haozhen Zhang, Ge Liu, Jiaxuan You

CoRR, May, 2026

RouteProfile: Graph-Based Profiling for Cold-Start LLM Routing.

Jingjun Xu, Hongji Pu, Tao Feng, Haozhen Zhang, Jiaxuan You, Ge Liu

CoRR, May, 2026

GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs.

Tao Feng, Haozhen Zhang, Zijie Lei, Peixuan Han, Jiaxuan You

CoRR, April, 2026

Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey.

Wei-Chieh Huang, Weizhi Zhang, Yueqing Liang, Yuanchen Bei, Yankai Chen, Tao Feng, Xinyu Pan, Zhen Tan, Yu Wang, Tianxin Wei, Shanglin Wu, Ruiyao Xu, Liangwei Yang, Rui Yang, Wooseong Yang, Chin-Yuan Yeh, Hanrong Zhang, Haozhen Zhang, Siqi Zhu, Henry Peng Zou, Wanjia Zhao, Song Wang, Wujiang Xu, Zixuan Ke, Zheng Hui, Dawei Li, Yaozu Wu, Langzhou He, Chen Wang, Xiongxiao Xu, Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu

CoRR, February, 2026

Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory.

Haozhen Zhang, Haodong Yue, Tao Feng, Quanyu Long, Jianzhu Bao, Bowen Jin, Weizhi Zhang, Xiao Li, Jiaxuan You, Chengwei Qin, Wenya Wang

CoRR, February, 2026

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents.

Haozhen Zhang, Quanyu Long, Jianzhu Bao, Tao Feng, Weizhi Zhang, Haodong Yue, Wenya Wang

CoRR, February, 2026

Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding.

Jianzhu Bao, Haozhen Zhang, Kuicai Dong, Bozhi Wu, Sarthak Ketanbhai Modi, Zi Pong Lim, Yon Shin Teo, Wenya Wang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Fusing LLM Capabilities with Routing Data.

Tao Feng, Haozhen Zhang, Zijie Lei, Pengrui Han, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jiaxuan You

CoRR, July, 2025

AcademicEval: Live Long-Context LLM Benchmark.

Haozhen Zhang, Tao Feng, Pengrui Han, Jiaxuan You

Trans. Mach. Learn. Res., 2025

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning.

Haozhen Zhang, Tao Feng, Jiaxuan You

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

Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces.

Tianxing Man, Xingchen Li, Zhaogeng Liu, Haozhen Zhang, Bin Gu, Yi Chang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models.

Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Query Efficient Black-Box Visual Prompting with Subspace Learning.

Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs.

Haozhen Zhang, Tao Feng, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning.

Haozhen Zhang, Xi Xiao, Le Yu, Qing Li, Zhen Ling, Ye Zhang

CoRR, 2024

Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization.

Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

A Novel Piezo Inertia Actuator Inspired by Motion Mode of Steam Train's Transmission Mechanism.

Pingping Sun, Huan Yu, Haozhen Zhang

IEEE Access, 2023

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification.

Haozhen Zhang, Le Yu, Xi Xiao, Qing Li, Francesco Mercaldo, Xiapu Luo, Qixu Liu

Proceedings of the ACM Web Conference 2023, 2023

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs.

Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2020

SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification.

Haozhen Zhang, Wei Zhao, Shuang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020