| 2026 | ISKE | Enhancing Adversarial Transferability by Attention Center Shuffle and Mask. | Quan Liu, Feng Ye, Chenhao Lu, Shumin Zeng, Guangliang Huang, Runze Chen, Xudong Ke |
| 2025 | ICML | MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning. | Suning Huang, Zheyu Aqa Zhang, Tianhai Liang, Yihan Xu, Zhehao Kou, Chenhao Lu, Guowei Xu, Zhengrong Xue, Huazhe Xu |
| 2025 | ICRA | Mobile-TeleVision: Predictive Motion Priors for Humanoid Whole-Body Control. | Chenhao Lu, Xuxin Cheng, Jialong Li, Shiqi Yang, Mazeyu Ji, Chengjing Yuan, Ge Yang, Sha Yi, Xiaolong Wang |
| 2024 | CCS | VMud: Detecting Recurring Vulnerabilities with Multiple Fixing Functions via Function Selection and Semantic Equivalent Statement Matching. | Kaifeng Huang, Chenhao Lu, Yiheng Cao, Bihuan Chen, Xin Peng |
| 2024 | ICLR | Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization. | Kun Lei, Zhengmao He, Chenhao Lu, Kaizhe Hu, Yang Gao, Huazhe Xu |
| 2024 | ICML | Rethinking Transformers in Solving POMDPs. | Chenhao Lu, Ruizhe Shi, Yuyao Liu, Kaizhe Hu, Simon Shaolei Du, Huazhe Xu |
| 2021 | CIKM | Improving Irregularly Sampled Time Series Learning with Time-Aware Dual-Attention Memory-Augmented Networks. | Zhen Wang, Yang Zhang, Ai Jiang, Ji Zhang, Zhao Li, Jun Gao, Ke Li, Chenhao Lu, Zujie Ren |
| 2021 | PAKDD | Learning Probabilistic Latent Structure for Outlier Detection from Multi-view Data. | Zhen Wang, Ji Zhang, Yizheng Chen, Chenhao Lu, Jerry Chun-Wei Lin, Jing Xiao, Rage Uday Kiran |