| Prompt learning with optimal transport for vision-language models G Chen, W Yao, X Song, X Li, Y Rao, K Zhang ICLR 2023, 2022 | 87* | 2022 |
| Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery Y Jia, J Li, C Yuan, X Gao, W Yao, M Lee, J Xu Advanced Energy Materials, 2003868, 2021 | 68 | 2021 |
| From Twitter to traffic predictor: Next-day morning traffic prediction using social media data W Yao, S Qian Transportation research part C: emerging technologies 124, 102938, 2021 | 62 | 2021 |
| Learning temporally causal latent processes from general temporal data W Yao, Y Sun, A Ho, C Sun, K Zhang ICLR 2022, 2022 | 61 | 2022 |
| Temporally Disentangled Representation Learning W Yao, G Chen, K Zhang NeurIPS 2022, 2022 | 43* | 2022 |
| Partial disentanglement for domain adaptation L Kong, S Xie, W Yao, Y Zheng, G Chen, P Stojanov, V Akinwande, ... ICML 2022, 2022 | 38 | 2022 |
| Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents Z Liu, W Yao, J Zhang, L Xue, S Heinecke, R Murthy, Y Feng, Z Chen, ... arXiv preprint arXiv:2308.05960, 2023 | 35 | 2023 |
| Retroformer: Retrospective large language agents with policy gradient optimization W Yao, S Heinecke, JC Niebles, Z Liu, Y Feng, L Xue, R Murthy, Z Chen, ... ICLR 2024, 2023 | 26 | 2023 |
| Learning a distributed control scheme for demand flexibility in thermostatically controlled loads B Chen, W Yao, J Francis, M Bergés IEEE SmartGridCommm 2020, 2020 | 24 | 2020 |
| Precise and fast safety risk classification of lithium-ion batteries based on machine learning methodology Y Jia, J Li, W Yao, Y Li, J Xu Journal of Power Sources 548, 232064, 2022 | 20 | 2022 |
| High-speed rail suspension system health monitoring using multi-location vibration data N Hong, L Li, W Yao, Y Zhao, C Yi, J Lin, KL Tsui IEEE Transactions on Intelligent Transportation Systems 21 (7), 2943-2955, 2019 | 20 | 2019 |
| Hierarchical path generation for distributed mission planning of UAVs W Yao, N Wan, N Qi 2016 IEEE 55th Conference on Decision and Control (CDC), 1681-1686, 2016 | 16 | 2016 |
| How do new transit stations affect people's sentiment and activity? A case study based on social media data in Hong Kong H Chang, J Huang, W Yao, W Zhao, L Li Transport Policy 120, 139-155, 2022 | 11 | 2022 |
| Learning to recommend signal plans under incidents with real-time traffic prediction W Yao, S Qian Transportation Research Record 2674 (6), 45-59, 2020 | 11 | 2020 |
| Drdt: Dynamic reflection with divergent thinking for llm-based sequential recommendation Y Wang, Z Liu, J Zhang, W Yao, S Heinecke, PS Yu arXiv preprint arXiv:2312.11336, 2023 | 8 | 2023 |
| Condition monitoring of wheel wear for high-speed trains: A data-driven approach P Xu, W Yao, Y Zhao, C Yi, L Li, J Lin, KL Tsui IEEE ICPHM 2018, 2018 | 7 | 2018 |
| Prediction of Benefits of Special Taxi-Pooling Design for Large Transport Terminals: Case Study of Beijing West Railway Station W Yao, Y Wang, N Wang, G Yang, C Zhang Transportation Research Record: Journal of the Transportation Research Board …, 2016 | 6 | 2016 |
| Partial Identifiability for Domain Adaptation L Kong, S Xie, W Yao, Y Zheng, G Chen, P Stojanov, V Akinwande, ... ICML 2022, 2023 | 5 | 2023 |
| Rex: Rapid exploration and exploitation for ai agents R Murthy, S Heinecke, JC Niebles, Z Liu, L Xue, W Yao, Y Feng, Z Chen, ... arXiv preprint arXiv:2307.08962, 2023 | 3 | 2023 |
| Editing Arbitrary Propositions in LLMs without Subject Labels I Feigenbaum, D Arpit, H Wang, S Heinecke, JC Niebles, W Yao, C Xiong, ... arXiv preprint arXiv:2401.07526, 2024 | 1 | 2024 |
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
