| Bridging the gap between sample-based and one-shot neural architecture search with bonas H Shi*, R Pi*, H Xu, Z Li, J Kwok, T Zhang Advances in Neural Information Processing Systems 33, 1808-1819, 2020 | 155* | 2020 |
| DetGPT: Detect What You Need via Reasoning R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... EMNLP 2023, 2023 | 54* | 2023 |
| Model agnostic sample reweighting for out-of-distribution learning X Zhou, Y Lin, R Pi, W Zhang, R Xu, P Cui, T Zhang International Conference on Machine Learning, 27203-27221, 2022 | 51 | 2022 |
| Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning J Gao*, R Pi*, LIN Yong, H Xu, J Ye, Z Wu, W ZHANG, X Liang, Z Li, ... The Eleventh International Conference on Learning Representations, 2022 | 47* | 2022 |
| Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ... arXiv preprint arXiv:2309.06256, 2023 | 38* | 2023 |
| Joint-detnas: Upgrade your detector with nas, pruning and dynamic distillation L Yao*, R Pi*, H Xu, W Zhang, Z Li, T Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 36 | 2021 |
| G-DetKD: towards general distillation framework for object detectors via contrastive and semantic-guided feature imitation L Yao*, R Pi*, H Xu, W Zhang, Z Li, T Zhang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 33* | 2021 |
| G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model J Gao*, R Pi*, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... arXiv preprint arXiv:2312.11370, 2023 | 26* | 2023 |
| Probabilistic bilevel coreset selection X Zhou*, R Pi*, W Zhang, Y Lin, Z Chen, T Zhang International Conference on Machine Learning, 27287-27302, 2022 | 20 | 2022 |
| A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond LIN Yong*, R Pi*, W Zhang, X Xia, J Gao, X Zhou, T Liu, B Han The Eleventh International Conference on Learning Representations, 2022 | 19* | 2022 |
| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang arXiv preprint arXiv:2401.02906, 2024 | 15 | 2024 |
| Dynafed: Tackling client data heterogeneity with global dynamics R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| GradSafe: Detecting Unsafe Prompts for LLMs via Safety-Critical Gradient Analysis Y Xie, M Fang, R Pi, N Gong ACL 2024, 2024 | 10* | 2024 |
| Perceptiongpt: Effectively fusing visual perception into llm R Pi, L Yao, J Gao, J Zhang, T Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Optimizing server-side aggregation for robust federated learning via subspace training Y Xie, W Zhang, R Pi, F Wu, Q Chen, X Xie, S Kim arXiv preprint arXiv:2211.05554, 2022 | 7* | 2022 |
| Strengthening multimodal large language model with bootstrapped preference optimization R Pi, T Han, W Xiong, J Zhang, R Liu, R Pan, T Zhang European Conference on Computer Vision 2024 (ECCV 2024), 2024 | 6 | 2024 |
| The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs T Han, Q Lian, R Pan, R Pi, J Zhang, S Diao, Y Lin, T Zhang arXiv preprint arXiv:2402.03757, 2024 | 5 | 2024 |
| LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning R Pan, X Liu, S Diao, R Pi, J Zhang, C Han, T Zhang arXiv preprint arXiv:2403.17919, 2024 | 4* | 2024 |
| Plum: Prompt learning using metaheuristic R Pan, S Xing, S Diao, X Liu, K Shum, J Zhang, R Pi, T Zhang arXiv preprint arXiv:2311.08364, 2023 | 4 | 2023 |
| Measure the predictive heterogeneity J Liu, J Wu, R Pi, R Xu, X Zhang, B Li, P Cui The Eleventh International Conference on Learning Representations, 2022 | 4 | 2022 |
Tong ZhangHKUST在 tongzhang-ml.org 的电子邮件经过验证
