SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification. - Haozhen Zhang; Wei Zhao; Shuang Liu (BIBM, 2020)

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. - Haozhen Zhang; Xueting Han; Xi Xiao; Jing Bai 010 (CIKM, 2023)

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. - Haozhen Zhang; Le Yu 002; Xi Xiao; Qing Li 006; Francesco Mercaldo; Xiapu Luo; Qixu Liu (WWW, 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)

Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. - Haozhen Zhang; Hualin Zhang; Bin Gu 001; Yi Chang 001 (KDD, 2024)

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning. - Haozhen Zhang; Xi Xiao; Le Yu 002; Qing Li 006; Zhen Ling 001; Ye Zhang (CoRR, 2024)

Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. - Haozhen Zhang; Zhaogeng Liu; Bin Gu 001; Yi Chang 001 (AAAI, 2025)

Revolutionizing Encrypted Traffic Classification with MH-Net: A Multi-View Heterogeneous Graph Model. - Haozhen Zhang; Haodong Yue; Xi Xiao; Le Yu 002; Qing Li 006; Zhen Ling 001; Ye Zhang (AAAI, 2025)

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs. - Haozhen Zhang; Tao Feng; Jiaxuan You (ACL (1), 2025)

Query Efficient Black-Box Visual Prompting with Subspace Learning. - Zhaogeng Liu; Haozhen Zhang; Hualin Zhang; Xingchen Li; Wanli Shi; Bin Gu 001; Yi Chang 001 (CVPR, 2025)

Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models. - Hualin Zhang; Haozhen Zhang; Zhekai Liu; Bin Gu 001; Yi Chang 001 (ICLR, 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 001; Yi Chang 001 (KDD (1), 2025)

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning. - Haozhen Zhang; Tao Feng; Jiaxuan You (CoRR, 2025)

Fusing LLM Capabilities with Routing Data. - Tao Feng; Haozhen Zhang; Zijie Lei; Pengrui Han; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Jiaxuan You (CoRR, 2025)