Haozhen Zhang

According to our database, Haozhen Zhang authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

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

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

Haozhen Zhang, Tao Feng, Jiaxuan You

CoRR, June, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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