| Deep reinforcement learning-based automatic exploration for navigation in unknown environment H Li, Q Zhang, D Zhao IEEE transactions on neural networks and learning systems 31 (6), 2064-2076, 2019 | 208 | 2019 |
| Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss Y Chen, H Li, R Gao, D Zhao IEEE Transactions on Neural Networks and Learning Systems 33 (2), 762-773, 2020 | 38 | 2020 |
| Bifnet: Bidirectional fusion network for road segmentation H Li, Y Chen, Q Zhang, D Zhao IEEE transactions on cybernetics 52 (9), 8617-8628, 2021 | 29 | 2021 |
| RailNet: An information aggregation network for rail track segmentation H Li, Q Zhang, D Zhao, Y Chen 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 18 | 2020 |
| Deep Kalman filter with optical flow for multiple object tracking Y Chen, D Zhao, H Li 2019 IEEE international conference on systems, man and cybernetics (SMC …, 2019 | 16 | 2019 |
| Hybrid deep learning based moving object detection via motion prediction Y Lu, Y Chen, D Zhao, H Li 2018 Chinese Automation Congress (CAC), 1442-1447, 2018 | 10 | 2018 |
| A temporal-based deep learning method for multiple objects detection in autonomous driving Y Chen, D Zhao, H Li, D Li, P Guo 2018 international joint conference on neural networks (IJCNN), 1-6, 2018 | 10 | 2018 |
| Comparison of methods to efficient graph slam under general optimization framework H Li, Q Zhang, D Zhao 2017 32nd Youth Academic Annual Conference of Chinese Association of …, 2017 | 9 | 2017 |
| Cross-domain random pre-training with prototypes for reinforcement learning X Liu, Y Chen, H Li, B Li, D Zhao arXiv preprint arXiv:2302.05614, 2023 | 8 | 2023 |
| ABCP: Automatic blockwise and channelwise network pruning via joint search J Li, H Li, Y Chen, Z Ding, N Li, M Ma, Z Duan, D Zhao IEEE Transactions on Cognitive and Developmental Systems 15 (3), 1560-1573, 2022 | 8 | 2022 |
| IA-CNN: A generalised interpretable convolutional neural network with attention mechanism Z Zhang, Y Chen, H Li, Q Zhang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
| Boosting continuous control with consistency policy Y Chen, H Li, D Zhao arXiv preprint arXiv:2310.06343, 2023 | 7 | 2023 |
| Multi-Sensor Fusion Perception System in Train H Gao, Y Huang, H Li, Q Zhang 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS …, 2021 | 6 | 2021 |
| Comparison of 3D object detection based on LiDAR point cloud H Li, X Zhou, Y Chen, Q Zhang, D Zhao, D Qian 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS …, 2019 | 6 | 2019 |
| An efficient network for lane segmentation H Li, D Zhao, Y Chen, Q Zhang Cognitive Systems and Signal Processing: 4th International Conference …, 2019 | 5 | 2019 |
| NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning L Haoran, L Shasha, M Mingjun, H Guangzheng, C Yaran, Z Dongbin arXiv preprint arXiv:2302.03385, 2023 | 3 | 2023 |
| Vehicle trajectory prediction based on graph attention network Z Chaochen, Q Zhang, D Li, H Li, Z Pang Cognitive Systems and Information Processing: 6th International Conference …, 2022 | 3 | 2022 |
| Moving target shooting control policy based on deep reinforcement learning B Li, T Jin, Y Zhu, H Li, Y Wu, D Zhao 2021 8th International Conference on Information, Cybernetics, and …, 2021 | 3 | 2021 |
| NeuronsMAE: a novel multi-agent reinforcement learning environment for cooperative and competitive multi-robot tasks G Hu, H Li, S Liu, Y Zhu, D Zhao 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 2 | 2023 |
| MVM3Det: A novel method for multi-view monocular 3D detection H Li, Z Duan, M Ma, Y Chen, J Li, D Zhao ArXiv, 2021 | 2 | 2021 |
