| FBNA: A fully binarized neural network accelerator P Guo, H Ma, R Chen, P Li, S Xie, D Wang 2018 28th International conference on field programmable logic and …, 2018 | 90 | 2018 |
| TSA-SCC: Text semantic-aware screen content coding with ultra low bitrate T Tang, L Li, X Wu, R Chen, H Li, G Lu, L Cheng IEEE Transactions on Image Processing 31, 2463-2477, 2022 | 35 | 2022 |
| Fast and efficient deep sparse multi-strength spiking neural networks with dynamic pruning R Chen, H Ma, S Xie, P Guo, P Li, D Wang 2018 international joint conference on neural networks (ijcnn), 1-8, 2018 | 30 | 2018 |
| Causality-driven hierarchical structure discovery for reinforcement learning X Hu, R Zhang, K Tang, J Guo, Q Yi, R Chen, Z Du, L Li, Q Guo, Y Chen Advances in Neural Information Processing Systems 35, 20064-20076, 2022 | 11 | 2022 |
| A high-efficiency fpga-based accelerator for binarized neural network P Guo, H Ma, R Chen, D Wang Journal of Circuits, Systems and Computers 28 (supp01), 1940004, 2019 | 10 | 2019 |
| Low latency spiking convnets with restricted output training and false spike inhibition R Chen, H Ma, P Guo, S Xie, P Li, D Wang 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 10 | 2018 |
| Conceptual reinforcement learning for language-conditioned tasks S Peng, X Hu, R Zhang, J Guo, Q Yi, R Chen, Z Du, L Li, Q Guo, Y Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9426-9434, 2023 | 6 | 2023 |
| A bypass-based low latency network-on-chip router P Guo, Q Liu, R Chen, L Yang, D Wang IEICE Electronics Express 16 (4), 20181147-20181147, 2019 | 5 | 2019 |
| Learning controllable elements oriented representations for reinforcement learning Q Yi, R Zhang, S Peng, J Guo, X Hu, Z Du, Q Guo, R Chen, L Li, Y Chen Neurocomputing 549, 126455, 2023 | 4 | 2023 |
| Context shift reduction for offline meta-reinforcement learning Y Gao, R Zhang, J Guo, F Wu, Q Yi, S Peng, S Lan, R Chen, Z Du, X Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Self-driven grounding: Large language model agents with automatical language-aligned skill learning S Peng, X Hu, Q Yi, R Zhang, J Guo, D Huang, Z Tian, R Chen, Z Du, ... arXiv preprint arXiv:2309.01352, 2023 | 3 | 2023 |
| Online prototype alignment for few-shot policy transfer Q Yi, R Zhang, S Peng, J Guo, Y Gao, K Yuan, R Chen, S Lan, X Hu, Z Du, ... International Conference on Machine Learning, 39968-39983, 2023 | 3 | 2023 |
| Decompose a task into generalizable subtasks in multi-agent reinforcement learning Z Tian, R Chen, X Hu, L Li, R Zhang, F Wu, S Peng, J Guo, Z Du, Q Guo, ... Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Efficient symbolic policy learning with differentiable symbolic expression J Guo, R Zhang, S Peng, Q Yi, X Hu, R Chen, Z Du, L Li, Q Guo, Y Chen Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Analyzing and accelerating the bottlenecks of training deep SNNs with backpropagation R Chen, L Li Neural Computation 32 (12), 2557-2600, 2020 | 2 | 2020 |
| Contrastive modules with temporal attention for multi-task reinforcement learning S Lan, R Zhang, Q Yi, J Guo, S Peng, Y Gao, F Wu, R Chen, Z Du, X Hu, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms R Chen, X Wu, Y Pan, K Yuan, L Li, TY Ma, JY Liang, R Zhang, K Wang, ... arXiv preprint arXiv:2109.01768, 2021 | 1 | 2021 |
| OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning F Wu, R Zhang, Q Yi, Y Gao, J Guo, S Peng, S Lan, H Han, Y Pan, K Yuan, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15897 …, 2024 | | 2024 |
| Emergent Communication for Numerical Concepts Generalization E Zhou, Y Hao, R Zhang, Y Guo, Z Du, X Zhang, X Song, C Wang, X Zhou, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17609 …, 2024 | | 2024 |
| Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning S Peng, X Hu, Q Yi, R Zhang, J Guo, D Huang, Z Tian, R Chen, Z Du, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14599 …, 2024 | | 2024 |
