| Reinforcement learning and deep learning based lateral control for autonomous driving [application notes] D Li, D Zhao, Q Zhang, Y Chen IEEE Computational Intelligence Magazine 14 (2), 83-98, 2019 | 193 | 2019 |
| A survey on interpretable reinforcement learning C Glanois, P Weng, M Zimmer, D Li, T Yang, J Hao, W Liu Machine Learning, 1-44, 2024 | 106 | 2024 |
| Neighborhood cognition consistent multi-agent reinforcement learning H Mao, W Liu, J Hao, J Luo, D Li, Z Zhang, J Wang, Z Xiao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7219-7226, 2020 | 83 | 2020 |
| Review of deep reinforcement learning and discussions on the development of computer Go D Zhao, K Shao, Y Zhu, D Li, Y Chen, H Wang, DR Liu, T Zhou, CH Wang Control Theory & Applications 33 (6), 701-717, 2016 | 80 | 2016 |
| Towards effective context for meta-reinforcement learning: an approach based on contrastive learning H Fu, H Tang, J Hao, C Chen, X Feng, D Li, W Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7457-7465, 2021 | 53 | 2021 |
| LHNN: Lattice hypergraph neural network for VLSI congestion prediction B Wang, G Shen, D Li, J Hao, W Liu, Y Huang, H Wu, Y Lin, G Chen, ... Proceedings of the 59th ACM/IEEE Design Automation Conference, 1297-1302, 2022 | 40 | 2022 |
| MGRL: Graph neural network based inference in a Markov network with reinforcement learning for visual navigation Y Lu, Y Chen, D Zhao, D Li Neurocomputing 421, 140-150, 2021 | 35 | 2021 |
| Neuro-symbolic hierarchical rule induction C Glanois, Z Jiang, X Feng, P Weng, M Zimmer, D Li, W Liu, J Hao International Conference on Machine Learning, 7583-7615, 2022 | 33 | 2022 |
| An efficient transfer learning framework for multiagent reinforcement learning T Yang, W Wang, H Tang, J Hao, Z Meng, H Mao, D Li, W Liu, Y Chen, ... Advances in neural information processing systems 34, 17037-17048, 2021 | 32 | 2021 |
| Deepsign: Deep learning based traffic sign recognition D Li, D Zhao, Y Chen, Q Zhang 2018 international joint conference on neural networks (IJCNN), 1-6, 2018 | 32 | 2018 |
| Versatile multi-stage graph neural network for circuit representation S Yang, Z Yang, D Li, Y Zhang, Z Zhang, G Song, J Hao Advances in Neural Information Processing Systems 35, 20313-20324, 2022 | 31 | 2022 |
| CMML: Contextual modulation meta learning for cold-start recommendation X Feng, C Chen, D Li, M Zhao, J Hao, J Wang Proceedings of the 30th ACM International Conference on Information …, 2021 | 31 | 2021 |
| Coarse-to-fine knowledge-enhanced multi-interest learning framework for multi-behavior recommendation C Meng, Z Zhao, W Guo, Y Zhang, H Wu, C Gao, D Li, X Li, R Tang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 29 | 2023 |
| Generalizable cross-graph embedding for gnn-based congestion prediction A Ghose, V Zhang, Y Zhang, D Li, W Liu, M Coates 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 28 | 2021 |
| Boosting multiagent reinforcement learning via permutation invariant and permutation equivariant networks HAO Jianye, X Hao, H Mao, W Wang, Y Yang, D Li, Y Zheng, Z Wang The Eleventh International Conference on Learning Representations, 2022 | 26 | 2022 |
| Differentiable logic machines M Zimmer, X Feng, C Glanois, Z Jiang, J Zhang, P Weng, D Li, J Hao, ... arXiv preprint arXiv:2102.11529, 2021 | 26 | 2021 |
| Seihai: A sample-efficient hierarchical ai for the minerl competition H Mao, C Wang, X Hao, Y Mao, Y Lu, C Wu, J Hao, D Li, P Tang Distributed Artificial Intelligence: Third International Conference, DAI …, 2022 | 25 | 2022 |
| What about inputting policy in value function: Policy representation and policy-extended value function approximator H Tang, Z Meng, J Hao, C Chen, D Graves, D Li, C Yu, H Mao, W Liu, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8441-8449, 2022 | 24 | 2022 |
| Adaptive online packing-guided search for POMDPs C Wu, G Yang, Z Zhang, Y Yu, D Li, W Liu, J Hao Advances in Neural Information Processing Systems 34, 28419-28430, 2021 | 22 | 2021 |
| A review of computational intelligence for StarCraft AI Z Tang, K Shao, Y Zhu, D Li, D Zhao, T Huang 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1167-1173, 2018 | 22 | 2018 |
Wulong LiuHuawei Noah's Ark LabVerified email at huawei.com