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ORCIDHao Cheng 0015
Person information
- affiliation: Hong Kong University of Science and Technology (Guangzhou), Humanoid Computing Laboratory, Guangzhou, China
- affiliation (2017 - 2020): Xi'an Jiaotong University, China
Other persons with the same name
- Hao Cheng — disambiguation page
- Hao Cheng 0001 — University of Central Florida, Department of Electrical Engineering and Computer Science, Orlando, FL, USA
- Hao Cheng 0002 — Microsoft Research (and 2 more)
- Hao Cheng 0003
![[0000-0003-4134-8479]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4134-8479")
— Shanghai University, School of Communication and Information Engineering, China (and 1 more) - Hao Cheng 0004 — Shanghai Jiao Tong University, Department of Automation, China
- Hao Cheng 0005 — University of California, Santa Cruz, CA, USA (and 1 more)
- Hao Cheng 0006 — Nanjing University of Posts and Telecommunications, School of Internet of Things, Nanjing, China (and 1 more)
- Hao Cheng 0007 — Dalian University of Technology, Faculty of Infrastructure Engineering, China
- Hao Cheng 0008 — Leibniz University Hannover, Institute of Cartography and Geoinformatics, Germany
- Hao Cheng 0009 — Shandong University, School of Cyber Science and Technology, Qingdao, China (and 1 more)
- Hao Cheng 0010 — Tianjin University, School of Computer Science and Technology, China
- Hao Cheng 0011 — Jilin University, Key Laboratory of Geo-Exploration Instruments, China
- Hao Cheng 0012 — Tencent Youtu Lab, Shanghai, China
- Hao Cheng 0013 — Qingdao Technological University, School of Management, China
- Hao Cheng 0014 — Nanjing University, Department of Computer Science and Technology, National Key Laboratory for Novel Software Technology, China
- Hao Cheng 0016 — Hebei University of Technology, Tianjin, China (and 2 more)
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2020 – today
- 2025
[j1]Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Diffusion Models. IEEE Trans. Artif. Intell. 6(1): 132-143 (2025)- [i23]Erjia Xiao, Hao Cheng, Jing Shao, Jinhao Duan, Kaidi Xu, Le Yang, Jindong Gu, Renjing Xu:
Tune In, Act Up: Exploring the Impact of Audio Modality-Specific Edits on Large Audio Language Models in Jailbreak. CoRR abs/2501.13772 (2025) - [i22]Qiang Zhang, Gang Han, Jingkai Sun, Wen Zhao, Jiahang Cao, Jiaxu Wang, Hao Cheng, Lingfeng Zhang, Yijie Guo, Renjing Xu:
LiPS: Large-Scale Humanoid Robot Reinforcement Learning with Parallel-Series Structures. CoRR abs/2503.08349 (2025) - [i21]Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. CoRR abs/2503.10602 (2025) - [i20]Jiahang Cao, Qiang Zhang, Hanzhong Guo, Jiaxu Wang, Hao Cheng, Renjing Xu:
Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition. CoRR abs/2503.12466 (2025) - 2024
- [c11]Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models. ACL (1) 2024: 5050-5063 - [c10]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR 2024: 8890-8899 - [c9]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models. ECCV (59) 2024: 179-196 - [c8]Jiaxu Wang, Bo Xu, Hao Cheng, Renjing Xu:
DONE: Dynamic Neural Representation Via Hyperplane Neural ODE. ICASSP 2024: 4355-4359 - [c7]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Renjing Xu:
Gaining the Sparse Rewards by Exploring Lottery Tickets in Spiking Neural Networks. IROS 2024: 442-449 - [c6]Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu:
Spiking Neural Network as Adaptive Event Stream Slicer. NeurIPS 2024 - [c5]Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Denoising Diffusion Probabilistic Models. WACV 2024: 4900-4909 - [i19]Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu:
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model. CoRR abs/2402.19150 (2024) - [i18]Hao Cheng, Erjia Xiao, Jiahang Cao, Le Yang, Kaidi Xu, Jindong Gu, Renjing Xu:
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models. CoRR abs/2405.20090 (2024) - [i17]Jiahang Cao, Qiang Zhang, Ziqing Wang, Jiaxu Wang, Hao Cheng, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. CoRR abs/2406.02013 (2024) - [i16]Jiahang Cao, Hanzhong Guo, Ziqing Wang, Deming Zhou, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Diffusion Models. CoRR abs/2408.16467 (2024) - [i15]Jiahang Cao, Qiang Zhang, Jingkai Sun, Jiaxu Wang, Hao Cheng, Yulin Li, Jun Ma, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models. CoRR abs/2409.07163 (2024) - [i14]Hao Cheng, Erjia Xiao, Chengyuan Yu, Zhao Yao, Jiahang Cao, Qiang Zhang, Jiaxu Wang, Mengshu Sun, Kaidi Xu, Jindong Gu, Renjing Xu:
Manipulation Facing Threats: Evaluating Physical Vulnerabilities in End-to-End Vision Language Action Models. CoRR abs/2409.13174 (2024) - [i13]Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu:
Spiking Neural Network as Adaptive Event Stream Slicer. CoRR abs/2410.02249 (2024) - [i12]Hao Cheng, Erjia Xiao, Jiayan Yang, Jiahang Cao, Qiang Zhang, Jize Zhang, Kaidi Xu, Jindong Gu, Renjing Xu:
Uncovering Vision Modality Threats in Image-to-Image Tasks. CoRR abs/2412.05538 (2024) - 2023
- [c4]Hao Cheng, Jinhao Duan, Hui Li, Jiahang Cao, Ping Wang, Lyutianyang Zhang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias. BMVC 2023: 296 - [c3]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. IJCAI 2023: 708-716 - [i11]Jinhao Duan, Quanfu Fan, Hao Cheng, Xiaoshuang Shi, Kaidi Xu:
Improve Video Representation with Temporal Adversarial Augmentation. CoRR abs/2304.14601 (2023) - [i10]Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu:
Spiking Denoising Diffusion Probabilistic Models. CoRR abs/2306.17046 (2023) - [i9]Jinhao Duan, Hao Cheng, Shiqi Wang, Chenan Wang, Alex Zavalny, Renjing Xu, Bhavya Kailkhura, Kaidi Xu:
Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models. CoRR abs/2307.01379 (2023) - [i8]Hao Cheng, Jinhao Duan, Hui Li, Lyutianyang Zhang, Jiahang Cao, Ping Wang, Jize Zhang, Kaidi Xu, Renjing Xu:
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias. CoRR abs/2309.13245 (2023) - [i7]Hao Cheng, Jiahang Cao, Erjia Xiao, Pu Zhao, Mengshu Sun, Jiaxu Wang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network. CoRR abs/2309.13302 (2023) - [i6]Hao Cheng, Jiahang Cao, Erjia Xiao, Mengshu Sun, Le Yang, Jize Zhang, Xue Lin, Bhavya Kailkhura, Kaidi Xu, Renjing Xu:
Pursing the Sparse Limitation of Spiking Deep Learning Structures. CoRR abs/2311.12060 (2023) - [i5]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT: Adversarial Consistency Models. CoRR abs/2311.14097 (2023) - 2022
- [c2]Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) 2022: 645-655 - [i4]Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura:
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. CoRR abs/2209.12839 (2022) - 2021
- [i3]Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. CoRR abs/2104.10586 (2021) - 2020
- [i2]Hao Cheng, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Pu Zhao, Xue Lin:
Defending against Backdoor Attack on Deep Neural Networks. CoRR abs/2002.12162 (2020)
2010 – 2019
- 2019
- [c1]Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang:
Adversarial Robustness vs. Model Compression, or Both? ICCV 2019: 111-120 - [i1]Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin:
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR abs/1903.12561 (2019)
Coauthor Index
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