| On the robustness of chatgpt: An adversarial and out-of-distribution perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... ICLR 2023 Workshop, 2023 | 152 | 2023 |
| Data-free Backdoor Removal based on Channel Lipschitzness R Zheng, R Tang, J Li, L Liu ECCV 2022, 2022 | 60 | 2022 |
| Pre-activation Distributions Expose Backdoor Neurons R Zheng, R Tang, J Li, L Liu NeurIPS 2022, 2022 | 15 | 2022 |
| Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing R Zheng, Y Zhang, D Huang, Q Chen ECCV 2020, 2020 | 6 | 2020 |
| Learning Class Unique Features in Fine-Grained Visual Classification R Zheng, Z Yu, Y Zhang, C Ding, HV Cheng, L Liu arXiv, 2020 | 5 | 2020 |
| Bayesian Optimization Augmented with Actively Elicited Expert Knowledge D Huang, L Filstroff, P Mikkola, R Zheng, S Kaski ICML 2023 Workshop, 2022 | 3 | 2022 |
| Towards Class-Specific Unit. R Zheng, Z Yu, Y Zhang, C Ding, HV Cheng, L Liu CoRR, 2020 | 2 | 2020 |
| SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization X Hu, R Zheng, J Wang, CH Leung, Q Wu, X Xie arXiv preprint arXiv:2402.03317, 2024 | | 2024 |
| Augmenting Bayesian Optimization with Preference-based Expert Feedback D Huang, L Filstroff, P Mikkola, R Zheng, M Todorovic, S Kaski ICML 2023 Workshop The Many Facets of Preference-Based Learning, 2023 | | 2023 |
Li LiuAssistant professor at The Hong Kong University of Science and Technology (Guangzhou)Verified email at hkust-gz.edu.cn
