| Prompting Decision Transformer for Few-Shot Policy Generalization M Xu, Y Shen, S Zhang, Y Lu, D Zhao, JB Tenenbaum, C Gan International Conference on Machine Learning, 2022 | 160 | 2022 |
| Planning with large language models for code generation S Zhang, Z Chen, Y Shen, M Ding, JB Tenenbaum, C Gan arXiv preprint arXiv:2303.05510, 2023 | 159 | 2023 |
| Autonomous intersection management for semi-autonomous vehicles TC Au, S Zhang, P Stone Routledge Handbook of Transportation, 88-104, 2015 | 149 | 2015 |
| Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes. S Zhang, EH Durfee, S Singh IJCAI, 4867-4873, 2018 | 45 | 2018 |
| Hyper-decision transformer for efficient online policy adaptation M Xu, Y Lu, Y Shen, S Zhang, D Zhao, C Gan arXiv preprint arXiv:2304.08487, 2023 | 42 | 2023 |
| Semi-autonomous intersection management. TC Au, S Zhang, P Stone AAMAS, 1451-1452, 2014 | 30 | 2014 |
| Determining placements of influencing agents in a flock K Genter, S Zhang, P Stone Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 29 | 2015 |
| Adaptive Online Replanning with Diffusion Models S Zhou, Y Du, S Zhang, M Xu, Y Shen, W Xiao, DY Yeung, C Gan Advances in Neural Information Processing Systems 36, 2023 | 18 | 2023 |
| Improving reinforcement learning from human feedback with efficient reward model ensemble S Zhang, Z Chen, S Chen, Y Shen, Z Sun, C Gan arXiv preprint arXiv:2401.16635, 2024 | 16 | 2024 |
| Modeling sensory-motor decisions in natural behavior R Zhang, S Zhang, MH Tong, Y Cui, CA Rothkopf, DH Ballard, ... PLoS computational biology 14 (10), e1006518, 2018 | 15 | 2018 |
| From specification to topology: Automatic power converter design via reinforcement learning S Fan, N Cao, S Zhang, J Li, X Guo, X Zhang 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021 | 14 | 2021 |
| Querying to find a safe policy under uncertain safety constraints in markov decision processes S Zhang, E Durfee, S Singh Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2552-2559, 2020 | 12 | 2020 |
| Approximately-optimal queries for planning in reward-uncertain Markov decision processes S Zhang, E Durfee, S Singh Proceedings of the International Conference on Automated Planning and …, 2017 | 9 | 2017 |
| LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits CC Chang, Y Shen, S Fan, J Li, S Zhang, N Cao, Y Chen, X Zhang Forty-first International Conference on Machine Learning, 2024 | 8 | 2024 |
| Modeling Task Control of Gaze M Tong, S Zhang, L Johnson, D Ballard, M Hayhoe Journal of Vision 15 (12), 784-784, 2015 | 4 | 2015 |
| Graph-Transformer-based Surrogate Model for Accelerated Converter Circuit Topology Design S Fan, H Lu, S Zhang, N Cao, X Zhang, J Li Proceedings of the 61st ACM/IEEE Design Automation Conference, 1-6, 2024 | 1 | 2024 |
| Thermal and performance management X Zhang, S Zhang, S Fan, X Guo, C Gan US Patent 11,989,068, 2024 | 1 | 2024 |
| Power Converter Circuit Design Automation using Parallel Monte Carlo Tree Search S Fan, S Zhang, J Liu, N Cao, X Guo, J Li, X Zhang ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022 | 1 | 2022 |
| Modeling sensorimotor behavior through modular inverse reinforcement learning with discount factors R Zhang, S Zhang, MH Tong, MM Hayhoe, DH Ballard Journal of Vision 17 (10), 1267-1267, 2017 | 1 | 2017 |
| Parameterized modular inverse reinforcement learning S Zhang | 1 | 2015 |
Yikang ShenMIT-IBM Watson LabE-mail confirmado em ibm.com