| On the Integration of Self-Attention and Convolution X Pan, C Ge, R Lu, S Song, G Chen, Z Huang, G Huang Computer Vision and Pattern Recognition (CVPR), 2022, 2021 | 464 | 2021 |
| Efficienttrain: Exploring generalized curriculum learning for training visual backbones Y Wang, Y Yue, R Lu, T Liu, Z Zhong, S Song, G Huang International Conference of Computer Vision (ICCV) 2023, 2022 | 30 | 2022 |
| On the power of multitask representation learning in linear mdp R Lu, G Huang, SS Du arXiv preprint arXiv:2106.08053, 2021 | 30 | 2021 |
| How far is video generation from world model: A physical law perspective B Kang, Y Yue, R Lu, Z Lin, Y Zhao, K Wang, G Huang, J Feng arXiv preprint arXiv:2411.02385, 2024 | 11 | 2024 |
| Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL Y Yue*, R Lu*, B Kang*, S Song, G Huang Adavances on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 11 | 2023 |
| EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Y Wang, Y Yue, R Lu, Y Han, S Song, G Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 7 | 2024 |
| Provable General Function Class Representation Learning in Multitask Bandits and MDPs R Lu, A Zhao, SS Du, G Huang Adavances on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 7 | 2022 |
| Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing H Wang, Y Yue, R Lu, J Shi, A Zhao, S Wang, S Song, G Huang arXiv preprint arXiv:2407.08770, 2024 | 5 | 2024 |
| Neural network-assisted data processing improved tomography characterizations of reverse osmosis polyamide layers D Li, R Lu, K Wang, Y Li, W Lin, X Wang, Y Shen, X Huang ACS ES&T Engineering 4 (1), 128-138, 2023 | 4 | 2023 |
| AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Z Ni, Y Wang, R Zhou, R Lu, J Guo, J Hu, Z Liu, Y Yao, G Huang European Conference of Computer Vision (ECCV) 2024, 2024 | 3 | 2024 |
| Rethinking the zigzag flattening for image reading Q Zhao, Z Zhou, S Dou, Y Li, R Lu, Y Wang, C Zhao arXiv preprint arXiv:2202.10240 7, 2022 | 2 | 2022 |
| Linear Programming with Moore-Penrose Inverses and the Gravitation Method B LI, R LU, Y ZHAO, F Yoriaki Post Keynesian Review 7 (1), 1-13, 2019 | 1 | 2019 |
| Augmenting Unsupervised Reinforcement Learning with Self-Reference A Zhao, E Zhu, R Lu, M Lin, YJ Liu, G Huang arXiv preprint arXiv:2311.09692, 2023 | | 2023 |
Gao Huang （黄高）Associate Professor, Tsinghua Universitytsinghua.edu.cn üzerinde doğrulanmış e-posta adresine sahip