| 2026 | ACL | 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 |
| 2025 | AAAI | Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization. | Haozhen Zhang, Zhaogeng Liu, Bin Gu, Yi Chang |
| 2025 | AAAI | 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 |
| 2025 | ACL | Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs. | Haozhen Zhang, Tao Feng, Jiaxuan You |
| 2025 | CVPR | Query Efficient Black-Box Visual Prompting with Subspace Learning. | Zhaogeng Liu, Haozhen Zhang, Hualin Zhang, Xingchen Li, Wanli Shi, Bin Gu, Yi Chang |
| 2025 | ICLR | Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models. | Hualin Zhang, Haozhen Zhang, Zhekai Liu, Bin Gu, Yi Chang |
| 2025 | KDD | 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 |
| 2024 | KDD | Subspace Selection based Prompt Tuning with Nonconvex Nonsmooth Black-Box Optimization. | Haozhen Zhang, Hualin Zhang, Bin Gu, Yi Chang |
| 2023 | CIKM | Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. | Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai |
| 2023 | WWW | 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 |