| Action-depedent Control Variates for Policy Optimization via Stein's Identity H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu arXiv preprint arXiv:1710.11198, 2017 | 105 | 2017 |
| Unicontrol: A unified diffusion model for controllable visual generation in the wild C Qin, S Zhang, N Yu, Y Feng, X Yang, Y Zhou, H Wang, JC Niebles, ... arXiv preprint arXiv:2305.11147, 2023 | 102 | 2023 |
| Hive: Harnessing human feedback for instructional visual editing S Zhang, X Yang, Y Feng, C Qin, CC Chen, N Yu, Z Chen, H Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 94 | 2024 |
| Dynamic pricing and information disclosure for fresh produce: An artificial intelligence approach C Yang, Y Feng, A Whinston Production and Operations Management 31 (1), 155-171, 2022 | 90 | 2022 |
| Doubly robust bias reduction in infinite horizon off-policy estimation Z Tang, Y Feng, L Li, D Zhou, Q Liu ICLR 2020, 2020 | 84 | 2020 |
| Learning to draw samples with amortized stein variational gradient descent Y Feng, D Wang, Q Liu arXiv preprint arXiv:1707.06626, 2017 | 83 | 2017 |
| 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 | 77 | 2023 |
| Libero: Benchmarking knowledge transfer for lifelong robot learning B Liu, Y Zhu, C Gao, Y Feng, Q Liu, Y Zhu, P Stone Advances in Neural Information Processing Systems 36, 2024 | 76 | 2024 |
| A kernel loss for solving the bellman equation Y Feng, L Li, Q Liu Advances in Neural Information Processing Systems 32, 2019 | 70 | 2019 |
| 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, ... arXiv preprint arXiv:2308.02151, 2023 | 59 | 2023 |
| Incremental few-shot text classification with multi-round new classes: Formulation, dataset and system C Xia, W Yin, Y Feng, P Yu arXiv preprint arXiv:2104.11882, 2021 | 57 | 2021 |
| Accountable off-policy evaluation with kernel bellman statistics Y Feng, T Ren, Z Tang, Q Liu International Conference on Machine Learning, 3102-3111, 2020 | 46 | 2020 |
| Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward R Zhang, L Gui, Z Sun, Y Feng, K Xu, Y Zhang, D Fu, C Li, A Hauptmann, ... arXiv preprint arXiv:2404.01258, 2024 | 42* | 2024 |
| Unsupervised out-of-domain detection via pre-trained transformers K Xu, T Ren, S Zhang, Y Feng, C Xiong arXiv preprint arXiv:2106.00948, 2021 | 41 | 2021 |
| FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability C Xia, C Xing, J Du, X Yang, Y Feng, R Xu, W Yin, C Xiong arXiv preprint arXiv:2402.18667, 2024 | 37* | 2024 |
| Two methods for wild variational inference Q Liu, Y Feng arXiv preprint arXiv:1612.00081, 2016 | 26 | 2016 |
| Apigen: Automated pipeline for generating verifiable and diverse function-calling datasets Z Liu, T Hoang, J Zhang, M Zhu, T Lan, S Kokane, J Tan, W Yao, Z Liu, ... arXiv preprint arXiv:2406.18518, 2024 | 25 | 2024 |
| Famo: Fast adaptive multitask optimization B Liu, Y Feng, P Stone, Q Liu Advances in Neural Information Processing Systems 36, 2024 | 23 | 2024 |
| Fantastic rewards and how to tame them: A case study on reward learning for task-oriented dialogue systems Y Feng, S Yang, S Zhang, J Zhang, C Xiong, M Zhou, H Wang arXiv preprint arXiv:2302.10342, 2023 | 22 | 2023 |
| Agentohana: Design unified data and training pipeline for effective agent learning J Zhang, T Lan, R Murthy, Z Liu, W Yao, M Zhu, J Tan, T Hoang, Z Liu, ... arXiv preprint arXiv:2402.15506, 2024 | 21 | 2024 |
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