| Transforming a 3-d lidar point cloud into a 2-d dense depth map through a parameter self-adaptive framework L Chen, Y He, J Chen, Q Li, Q Zou IEEE Transactions on Intelligent Transportation Systems 18 (1), 165-176, 2016 | 44 | 2016 |
| A full density stereo matching system based on the combination of CNNs and slanted-planes L Chen, L Fan, J Chen, D Cao, F Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (2), 397-408, 2017 | 28 | 2017 |
| Storage efficient and dynamic flexible runtime channel pruning via deep reinforcement learning J Chen, S Chen, SJ Pan Advances in neural information processing systems 33, 14747-14758, 2020 | 24 | 2020 |
| Accelerate learning of deep hashing with gradient attention LK Huang, J Chen, SJ Pan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 22 | 2019 |
| Multi-view feature combination for ancient paintings chronological classification L Chen, J Chen, Q Zou, K Huang, Q Li Journal on Computing and Cultural Heritage (JOCCH) 10 (2), 1-15, 2017 | 19 | 2017 |
| Statistical analysis of energy-aware real-time automotive systems in EAST-ADL/Stateflow EY Kang, J Chen, L Ke, S Chen 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA …, 2016 | 11 | 2016 |
| A novel way to organize 3D LiDAR point cloud as 2D depth map height map and surface normal map Y He, L Chen, J Chen, M Li 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1383 …, 2015 | 11 | 2015 |
| Multi-task relative attributes prediction by incorporating local context and global style information features Y He, L Chen, J Chen Proceedings of BMVC 131, 1-12, 2016 | 9 | 2016 |
| Learning generalizable representations for reinforcement learning via adaptive meta-learner of behavioral similarities J Chen, SJ Pan The Tenth International Conference on Learning Representations, 2022 | 7 | 2022 |
| Sequential generative exploration model for partially observable reinforcement learning H Yin, J Chen, SJ Pan, S Tschiatschek Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10700 …, 2021 | 7 | 2021 |
| Hashing over predicted future frames for informed exploration of deep reinforcement learning H Yin, J Chen, SJ Pan arXiv preprint arXiv:1707.00524, 2017 | 7 | 2017 |
| Learning representations via a robust behavioral metric for deep reinforcement learning J Chen, S Pan Advances in Neural Information Processing Systems 35, 36654-36666, 2022 | 4 | 2022 |
| XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making Z Chen, J Chen, M Gaidhani, A Singh, M Sra arXiv preprint arXiv:2311.08614, 2023 | 1 | 2023 |
