| Learning Temporally Causal Latent Processes from General Temporal Data W Yao*, Y Sun*, A Ho, C Sun, K Zhang International Conference on Learning Representations (ICLR), 2022 | 92 | 2022 |
| Model-based reinforcement learning via proximal policy optimization Y Sun, X Yuan, W Liu, C Sun 2019 Chinese Automation Congress (CAC), 4736-4740, 2019 | 28 | 2019 |
| Model-based transfer reinforcement learning based on graphical model representations Y Sun, K Zhang, C Sun IEEE Transactions on Neural Networks and Learning Systems, 2021 | 25 | 2021 |
| A parallel framework of adaptive dynamic programming algorithm with off-policy learning C Sun, X Li, Y Sun IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3578-3587, 2020 | 24 | 2020 |
| A broad neural network structure for class incremental learning W Liu, H Yang, Y Sun, C Sun Advances in Neural Networks–ISNN 2018: 15th International Symposium on …, 2018 | 8 | 2018 |
| Caring: Learning temporal causal representation under non-invertible generation process G Chen, Y Shen, Z Chen, X Song, Y Sun, W Yao, X Liu, K Zhang arXiv preprint arXiv:2401.14535, 2024 | 7 | 2024 |
| Deterministic policy gradient with advantage function for fixed wing uav automatic landing X Yuan, Y Sun, Y Wang, C Sun 2019 Chinese Control Conference (CCC), 8305-8310, 2019 | 7 | 2019 |
| ACAMDA: improving data efficiency in reinforcement learning through guided counterfactual data augmentation Y Sun, E Wang, B Huang, C Lu, L Feng, C Sun, K Zhang Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15193 …, 2024 | 3 | 2024 |
| Causality in reinforcement learning control: The state of the art and prospects S Yue-Wen, L Wen-Zhang, S Chang-Yin Acta Automatica Sinica 49 (3), 661-677, 2023 | 3 | 2023 |
| Counterfactual reasoning using predicted latent personality dimensions for optimizing persuasion outcome D Zeng, RS Legaspi, Y Sun, X Dong, K Ikeda, P Spirtes, K Zhang International Conference on Persuasive Technology, 287-300, 2024 | 1 | 2024 |
| On the Parameter Identifiability of Partially Observed Linear Causal Models X Dong, I Ng, B Huang, Y Sun, S Jin, R Legaspi, P Spirtes, K Zhang Advances in Neural Information Processing Systems 37, 30740-30771, 2025 | | 2025 |
| Causal Representation Learning from Multimodal Biological Observations Y Sun*, L Kong*, G Chen, L Li, G Luo, Z Li, Y Zhang, Y Zheng, M Yang, ... arXiv preprint arXiv:2411.06518, 2024 | | 2024 |
| Identifying Latent State Transition Processes for Individualized Reinforcement Learning Y Sun, B Huang, Y Yao, D Zeng, X Dong, R Legaspi, K Ikeda, P Spirtes, ... The Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)כתובת אימייל מאומתת בדומיין cmu.edu