| 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 | 242 | 2023 |
| Data-free Backdoor Removal based on Channel Lipschitzness R Zheng, R Tang, J Li, L Liu ECCV 2022, 2022 | 119 | 2022 |
| Pre-activation Distributions Expose Backdoor Neurons R Zheng, R Tang, J Li, L Liu NeurIPS 2022, 2022 | 33 | 2022 |
| Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing R Zheng, Y Zhang, D Huang, Q Chen ECCV 2020, 2020 | 9 | 2020 |
| Bayesian Optimization Augmented with Actively Elicited Expert Knowledge D Huang, L Filstroff, P Mikkola, R Zheng, S Kaski ICML 2023 Workshop, 2022 | 7 | 2022 |
| Learning Class Unique Features in Fine-Grained Visual Classification R Zheng, Z Yu, Y Zhang, C Ding, HV Cheng, L Liu ICASSP 2025, 2020 | 7 | 2020 |
| 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 | 2 | 2023 |
| 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 HU Xixu, R Zheng, J Wang, CH LEUNG, WU Qi, X Xie ECCV 2024, 2023 | 1 | 2023 |
| Visual Data Diagnosis and Debiasing with Concept Graphs R Chakraborty, Y Wang, J Gao, R Zheng, C Zhang, F De la Torre NeurIPS 2024, 2024 | | 2024 |
| Advancing Differential Privacy through Synthetic Dataset Alignment R Zheng, YO Wang, N Apostoloff, O Tuzel, J Holland, F De la Torre | | |
Li LiuThe Hong Kong University of Science and Technology (Guangzhou)Verified email at hkust-gz.edu.cn