Adversarial Robustness vs. Model Compression, or Both? - Shaokai Ye; Xue Lin 001; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang (ICCV, 2019)

Second Rethinking of Network Pruning in the Adversarial Setting. - Shaokai Ye; Kaidi Xu; Sijia Liu 001; Hao Cheng 015; Jan-Henrik Lambrechts; Huan Zhang 001; Aojun Zhou; Kaisheng Ma; Yanzhi Wang; Xue Lin 001 (CoRR, 2019)

Defending against Backdoor Attack on Deep Neural Networks. - Hao Cheng 015; Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Pu Zhao 001; Xue Lin 001 (CoRR, 2020)

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. - Hao Cheng 015; Kaidi Xu; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (CoRR, 2021)

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. - Hao Cheng 015; Kaidi Xu; Zhengang Li; Pu Zhao 001; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (WACV (Workshops), 2022)

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. - Hao Cheng 015; Pu Zhao 001; Yize Li; Xue Lin 001; James Diffenderfer; Ryan A. Goldhahn; Bhavya Kailkhura (CoRR, 2022)

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Jiahang Cao; Ping Wang; Lyutianyang Zhang; Jize Zhang; Kaidi Xu; Renjing Xu (BMVC, 2023)

Improve Video Representation with Temporal Adversarial Augmentation. - Jinhao Duan; Quanfu Fan; Hao Cheng 015; Xiaoshuang Shi; Kaidi Xu (IJCAI, 2023)

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; Chenan Wang; Alex Zavalny; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (CoRR, 2023)

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. - Hao Cheng 015; Jinhao Duan; Hui Li; Lyutianyang Zhang; Jiahang Cao; Ping Wang; Jize Zhang; Kaidi Xu; Renjing Xu (CoRR, 2023)

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Pu Zhao 001; Mengshu Sun; Jiaxu Wang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

Pursing the Sparse Limitation of Spiking Deep Learning Structures. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Le Yang; Jize Zhang; Xue Lin 001; Bhavya Kailkhura; Kaidi Xu; Renjing Xu (CoRR, 2023)

ACT: Adversarial Consistency Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. - Jinhao Duan; Hao Cheng 015; Shiqi Wang 002; Alex Zavalny; Chenan Wang; Renjing Xu; Bhavya Kailkhura; Kaidi Xu (ACL (1), 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CVPR, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (ECCV (59), 2024)

DONE: Dynamic Neural Representation Via Hyperplane Neural ODE. - Jiaxu Wang; Bo Xu; Hao Cheng 015; Renjing Xu (ICASSP, 2024)

Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. - Hao Cheng 015; Jiahang Cao; Erjia Xiao; Mengshu Sun; Renjing Xu (IROS, 2024)

Spiking Neural Network as Adaptive Event Stream Slicer. - Jiahang Cao; Mingyuan Sun; Ziqing Wang; Hao Cheng 015; Qiang Zhang 029; Shibo Zhou; Renjing Xu (NeurIPS, 2024)

Spiking Denoising Diffusion Probabilistic Models. - Jiahang Cao; Ziqing Wang; Hanzhong Guo; Hao Cheng 015; Qiang Zhang 029; Renjing Xu (WACV, 2024)

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. - Hao Cheng 015; Erjia Xiao; Jindong Gu; Le Yang; Jinhao Duan; Jize Zhang; Jiahang Cao; Kaidi Xu; Renjing Xu (CoRR, 2024)

Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models. - Hao Cheng 015; Erjia Xiao; Jiahang Cao; Le Yang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. - Jiahang Cao; Qiang Zhang 029; Ziqing Wang; Jiaxu Wang; Hao Cheng 015; Yecheng Shao; Wen Zhao; Gang Han; Yijie Guo; Renjing Xu (CoRR, 2024)

Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models. - Jiahang Cao; Qiang Zhang 029; Jingkai Sun; Jiaxu Wang; Hao Cheng 015; Yulin Li; Jun Ma 008; Yecheng Shao; Wen Zhao; Gang Han; Yijie Guo; Renjing Xu (CoRR, 2024)

Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. - Hao Cheng 015; Erjia Xiao; Chengyuan Yu; Zhao Yao; Jiahang Cao; Qiang Zhang 029; Jiaxu Wang; Mengshu Sun; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Uncovering Vision Modality Threats in Image-to-Image Tasks. - Hao Cheng 015; Erjia Xiao; Jiayan Yang; Jiahang Cao; Qiang Zhang 029; Jize Zhang; Kaidi Xu; Jindong Gu; Renjing Xu (CoRR, 2024)

Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak. - Erjia Xiao; Hao Cheng 015; Jing Shao; Jinhao Duan; Kaidi Xu; Le Yang; Jindong Gu; Renjing Xu (CoRR, 2025)

Spiking Diffusion Models. - Jiahang Cao; Hanzhong Guo; Ziqing Wang; Deming Zhou; Hao Cheng 015; Qiang Zhang 029; Renjing Xu (IEEE Trans. Artif. Intell., 2025)

LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures. - Qiang Zhang 029; Gang Han; Jingkai Sun; Wen Zhao; Jiahang Cao; Jiaxu Wang; Hao Cheng 015; Lingfeng Zhang; Yijie Guo; Renjing Xu (CoRR, 2025)

TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. - Jinhao Duan; Fei Kong; Hao Cheng 015; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition. - Jiahang Cao; Qiang Zhang 029; Hanzhong Guo; Jiaxu Wang; Hao Cheng 015; Renjing Xu (CoRR, 2025)

Occupancy World Model for Robots. - Zhang Zhang; Qiang Zhang 029; Wei Cui; Shuai Shi; Yijie Guo; Gang Han; Wen Zhao; Jingkai Sun; Jiahang Cao; Jiaxu Wang; Hao Cheng 015; Xiaozhu Ju; et al. (CoRR, 2025)

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots. - Wei Cui; Haoyu Wang; Wenkang Qin; Yijie Guo; Gang Han; Wen Zhao; Jiahang Cao; Zhang Zhang; Jiaru Zhong; Jingkai Sun; Pihai Sun; Shuai Shi; et al. (CoRR, 2025)