| Distinct anatomical connectivity patterns differentiate subdivisions of the nonlemniscal auditory thalamus in mice D Cai, Y Yue, X Su, M Liu, Y Wang, L You, F Xie, F Deng, F Chen, M Luo, ... Cerebral Cortex 29 (6), 2437-2454, 2019 | 35 | 2019 |
| Generative memory for lifelong learning X Su, S Guo, T Tan, F Chen IEEE transactions on neural networks and learning systems 31 (6), 1884-1898, 2019 | 21 | 2019 |
| Task understanding from confusing multi-task data X Su, Y Jiang, S Guo, F Chen International Conference on Machine Learning, 9177-9186, 2020 | 8 | 2020 |
| Adaptability preserving domain decomposition for stabilizing sim2real reinforcement learning H Gao, Z Yang, X Su, T Tan, F Chen 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 6 | 2020 |
| Learning effective subgoals with multi-task hierarchical reinforcement learning D Chen, Q Yan, S Guo, Z Yang, X Su, F Chen Scaling-Up Reinforcement Learning (SURL) Workshop. URl: http://surl. tirl …, 2019 | 6 | 2019 |
| Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video P Sun, X Su, S Guo, F Chen Applied Intelligence 50 (12), 4261-4280, 2020 | 5 | 2020 |
| An improved spatial upscaling method for producing day‐ahead power forecasts for wind farm clusters M Yang, Q Yan, B Dai, X Chen, M Ma, X Su IET Generation, Transmission & Distribution 16 (19), 3860-3873, 2022 | 3 | 2022 |
| State-temporal compression in reinforcement learning with the reward-restricted geodesic metric S Guo, Q Yan, X Su, X Hu, F Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5572-5589, 2021 | 3 | 2021 |
| Subjectivity learning theory towards artificial general intelligence X Su, S Guo, F Chen arXiv preprint arXiv:1909.03798, 2019 | 3 | 2019 |
| MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation X Su, Y Zhou, Z Shan, Q Chen arXiv preprint arXiv:2310.11088, 2023 | 1 | 2023 |
| Learning from conflicting data with hidden contexts T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen | | 2022 |
| Subjective Learning for Conflicting Data T Zhang, Y Jiang, X Su, S Guo, C Gao, F Chen ICLR Workshop on Agent Learning in Open-Endedness, 2022 | | 2022 |
| Subjective Learning for Open-Ended Data T Zhang, Y Jiang, X Su, S Guo, F Chen arXiv preprint arXiv:2108.12113, 2021 | | 2021 |
| Subjective Reinforcement Learning for Open Complex Environments Z Yang, H Gao, X Su, S Guo, F Chen | | 2019 |
