| Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction Q Ding, S Wu, H Sun, J Guo, J Guo IJCAI 2020 (Proceedings of the Twenty-Ninth International Joint Conference …, 2020 | 176 | 2020 |
| Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL R Yang, Y Lu, W Li, H Sun, M Fang, Y Du, X Li, L Han, C Zhang ICLR 2022 (The Tenth International Conference on Learning Representations), 2022 | 59 | 2022 |
| Adaptive regularization of labels Q Ding, S Wu, H Sun, J Guo, ST Xia AAAI 2021 (The Thirty-Fifth AAAI Conference on Artificial Intelligence), 2021 | 48* | 2021 |
| Policy Continuation with Hindsight Inverse Dynamics H Sun, Z Li, X Liu, D Lin, B Zhou NeurIPS 2019 (Advances in Neural Information Processing Systems 33), 2019 | 39 | 2019 |
| The response of sediment phosphorus retention and release to reservoir operations: numerical simulation and surrogate model development Z Xu, C Yu, H Sun, Z Yang Journal of Cleaner Production 271, 122688, 2020 | 36 | 2020 |
| Membership Inference Attacks against Synthetic Data through Overfitting Detection B van Breugel, H Sun, Z Qian, M van der Schaar AISTATS 2023 (The 26th International Conference on Artificial Intelligence …, 2023 | 34 | 2023 |
| Neuro-symbolic program search for autonomous driving decision module design J Sun, H Sun, T Han, B Zhou CoRL 2020 (Conference on Robot Learning), 2020 | 31 | 2020 |
| Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping H Sun, L Han, R Yang, X Ma, J Guo, B Zhou Advances in Neural Information Processing Systems 35, 37719-37734, 2022 | 30* | 2022 |
| Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL H Sun, A Hüyük, M van der Schaar arXiv preprint arXiv:2309.06553, 2023 | 18* | 2023 |
| Supervised Q-Learning can be a Strong Baseline for Continuous Control H Sun, Z Xu, M Fang, B Zhou NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 18* | 2022 |
| Safe Exploration by Solving Early Terminated MDP H Sun, Z Xu, M Fang, Z Peng, J Guo, B Dai, B Zhou NeurIPS 2022 Deep RL Workshop, 2022 | 17* | 2022 |
| Physical-layer authentication based on hierarchical variational autoencoder for industrial internet of things R Meng, X Xu, B Wang, H Sun, S Xia, S Han, P Zhang IEEE Internet of Things Journal 10 (3), 2528-2544, 2022 | 17 | 2022 |
| Novel policy seeking with constrained optimization H Sun, Z Peng, B Dai, D Lin, B Zhou NeurIPS 2022 Deep RL Workshop, 2022 | 15 | 2022 |
| Multiuser physical-layer authentication based on latent perturbed neural networks for industrial internet of things R Meng, X Xu, H Sun, H Zhao, B Wang, S Han, P Zhang IEEE Internet of Things Journal 10 (1), 637-652, 2022 | 12 | 2022 |
| Non-local policy optimization via diversity-regularized collaborative exploration Z Peng, H Sun, B Zhou arXiv preprint arXiv:2006.07781, 2020 | 12 | 2020 |
| Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples H Sun, A Hüyük, D Jarrett, M van der Schaar NeurIPS 2023 (Advances in Neural Information Processing Systems 37), 2023 | 10* | 2023 |
| Dense reward for free in reinforcement learning from human feedback AJ Chan, H Sun, S Holt, M van der Schaar arXiv preprint arXiv:2402.00782, 2024 | 9 | 2024 |
| DAUX: a Density-based Approach for Uncertainty eXplanations H Sun, B van Breugel, J Crabbe, N Seedat, M van der Schaar NeurIPS 2023 (Advances in Neural Information Processing Systems 37), 2023 | 9* | 2023 |
| Neural Laplace Control for Continuous-time Delayed Systems S Holt, A Hüyük, Z Qian, H Sun, M van der Schaar AISTATS 2023 (The 26th International Conference on Artificial Intelligence …, 2023 | 9 | 2023 |
| On the guaranteed almost equivalence between imitation learning from observation and demonstration Z Cheng, L Liu, A Liu, H Sun, M Fang, D Tao TNNLS (IEEE Transactions on Neural Networks and Learning Systems), 2021 | 8 | 2021 |
Bolei ZhouAssistant Professor at UCLAVerified email at ucla.edu
