| Asymmetry in Low-Rank Adapters of Foundation Models J Zhu, K Greenewald, K Nadjahi, HSO Borde, RB Gabrielsson, L Choshen, ... ICML 2024, 2024 | 81 | 2024 |
| Datasets and Benchmarks for Offline Safe Reinforcement Learning Z Liu, Z Guo, H Lin, Y Yao, J Zhu, Z Cen, H Hu, W Yu, T Zhang, J Tan, ... Journal of Data-centric Machine Learning Research, 2024 | 77 | 2024 |
| Introducing v0. 5 of the ai safety benchmark from mlcommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | 72 | 2024 |
| Spatiotemporal learning of multivehicle interaction patterns in lane-change scenarios C Zhang, J Zhu, W Wang, J Xi IEEE Transactions on Intelligent Transportation Systems, 2021 | 62 | 2021 |
| Modeling multi-vehicle interaction scenarios using gaussian random field Y Guo, VV Kalidindi, M Arief, W Wang, J Zhu, H Peng, D Zhao 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3974-3980, 2019 | 62 | 2019 |
| Clustering of driving encounter scenarios using connected vehicle trajectories W Wang, A Ramesh, J Zhu, J Li, D Zhao IEEE Transactions on intelligent vehicles 5 (3), 485-496, 2020 | 61 | 2020 |
| Recurrent Attentive Neural Process for Sequential Data S Qin, J Zhu, J Qin, W Wang, D Zhao arXiv preprint arXiv:1910.09323, 2019 | 58* | 2019 |
| Context-aware safe reinforcement learning for non-stationary environments B Chen, Z Liu, J Zhu, M Xu, W Ding, L Li, D Zhao 2021 IEEE International Conference on Robotics and Automation (ICRA), 10689 …, 2021 | 57 | 2021 |
| Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes M Xu, W Ding, J Zhu, Z Liu, B Chen, D Zhao Advances in Neural Information Processing Systems 33, 2020 | 49 | 2020 |
| Curriculum reinforcement learning using optimal transport via gradual domain adaptation P Huang, M Xu, J Zhu, L Shi, F Fang, D Zhao Advances in Neural Information Processing Systems 35, 10656-10670, 2022 | 47 | 2022 |
| Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Y Yao, Z Liu, Z Cen, J Zhu, W Yu, T Zhang, D Zhao Advances in Neural Information Processing Systems 36, 2024 | 33 | 2024 |
| Understanding v2v driving scenarios through traffic primitives W Wang, W Zhang, J Zhu, D Zhao IEEE Transactions on Intelligent Transportation Systems, 2020 | 31 | 2020 |
| Safety-aware causal representation for trustworthy offline reinforcement learning in autonomous driving H Lin, W Ding, Z Liu, Y Niu, J Zhu, Y Niu, D Zhao IEEE Robotics and Automation Letters, 2024 | 28 | 2024 |
| Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models? J Qiu, W Han, J Zhu, M Xu, M Rosenberg, E Liu, D Weber, D Zhao arXiv preprint arXiv:2301.09017, 2023 | 28 | 2023 |
| Seasondepth: Cross-season monocular depth prediction dataset and benchmark under multiple environments H Hu, B Yang, Z Qiao, S Liu, J Zhu, Z Liu, W Ding, D Zhao, H Wang 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 24 | 2023 |
| MHMS: Multimodal Hierarchical Multimedia Summarization J Qiu, J Zhu, M Xu, F Dernoncourt, T Bui, Z Wang, B Li, D Zhao, H Jin arXiv preprint arXiv:2204.03734, 2022 | 22 | 2022 |
| Multi-vehicle interaction scenarios generation with interpretable traffic primitives and gaussian process regression W Zhang, W Wang, J Zhu, D Zhao 2020 IEEE Intelligent Vehicles Symposium (IV), 1197-1204, 2020 | 20 | 2020 |
| Can Brain Signals Reveal Inner Alignment with Human Languages? J Qiu, W Han, J Zhu, M Xu, DJ Weber, B Li, D Zhao The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 19 | 2023 |
| Geoecg: Data augmentation via wasserstein geodesic perturbation for robust electrocardiogram prediction J Zhu, J Qiu, Z Yang, D Weber, MA Rosenberg, E Liu, B Li, D Zhao Machine Learning for Healthcare Conference, 172-197, 2022 | 17 | 2022 |
| Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report J Qiu, J Zhu, S Liu, W Han, J Zhang, C Duan, MA Rosenberg, E Liu, ... Machine Learning for Health (ML4H), 480-497, 2023 | 16 | 2023 |
Mengdi XuTsinghua UniversityVerified email at tsinghua.edu.cn
