| Approximate Computing W Liu, F Lombardi Springer, 2022 | 1269* | 2022 |
| End-to-end learning of driving models from large-scale video datasets H Xu, Y Gao, F Yu, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1091 | 2017 |
| Compact bilinear pooling Y Gao, O Beijbom, N Zhang, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1075 | 2016 |
| Revisiting local descriptor based image-to-class measure for few-shot learning W Li, L Wang, J Xu, J Huo, Y Gao, J Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 662 | 2019 |
| MoverScore: Text generation evaluating with contextualized embeddings and earth mover distance W Zhao, M Peyrard, F Liu, Y Gao, CM Meyer, S Eger arXiv preprint arXiv:1909.02622, 2019 | 655 | 2019 |
| St++: Make self-training work better for semi-supervised semantic segmentation L Yang, W Zhuo, L Qi, Y Shi, Y Gao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 428 | 2022 |
| A physics-based approach to modeling real-fuel combustion chemistry–II. Reaction kinetic models of jet and rocket fuels R Xu, K Wang, S Banerjee, J Shao, T Parise, Y Zhu, S Wang, A Movaghar, ... Combustion and Flame 193, 520-537, 2018 | 392 | 2018 |
| Transformers in medical image analysis K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen Intelligent Medicine 3 (1), 59-78, 2023 | 354 | 2023 |
| Deep learning for tactile understanding from visual and haptic data Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell 2016 IEEE international conference on robotics and automation (ICRA), 536-543, 2016 | 322 | 2016 |
| Adaptive grid job scheduling with genetic algorithms Y Gao, H Rong, JZ Huang Future Generation Computer Systems 21 (1), 151-161, 2005 | 285 | 2005 |
| Multi-agent game abstraction via graph attention neural network Y Liu, W Wang, Y Hu, J Hao, X Chen, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7211-7218, 2020 | 281 | 2020 |
| NAS-FCOS: Fast neural architecture search for object detection N Wang, Y Gao, H Chen, P Wang, Z Tian, C Shen, Y Zhang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 267 | 2020 |
| Distribution consistency based covariance metric networks for few-shot learning W Li, J Xu, J Huo, L Wang, Y Gao, J Luo Proceedings of the AAAI conference on artificial intelligence 33 (01), 8642-8649, 2019 | 264 | 2019 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 260 | 2018 |
| Mastering atari games with limited data W Ye, S Liu, T Kurutach, P Abbeel, Y Gao Advances in neural information processing systems 34, 25476-25488, 2021 | 255 | 2021 |
| The Sloan Digital Sky Survey reverberation mapping project: Hα and Hβ reverberation measurements from first-year spectroscopy and photometry CJ Grier, JR Trump, Y Shen, K Horne, K Kinemuchi, ID McGreer, ... The Astrophysical Journal 851 (1), 21, 2017 | 255 | 2017 |
| Graph neural architecture search Y Gao, H Yang, P Zhang, C Zhou, Y Hu International joint conference on artificial intelligence, 2021 | 202 | 2021 |
| Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation X Yue, Z Zheng, S Zhang, Y Gao, T Darrell, K Keutzer, AS Vincentelli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 196 | 2021 |
| A novel unsupervised camera-aware domain adaptation framework for person re-identification L Qi, L Wang, J Huo, L Zhou, Y Shi, Y Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 185 | 2019 |
| Intrinsic nonlinear Hall effect in antiferromagnetic tetragonal CuMnAs C Wang, Y Gao, D Xiao Physical Review Letters 127 (27), 277201, 2021 | 169 | 2021 |
Yinghuan Shi（史颖欢）Nanjing University確認したメール アドレス: nju.edu.cn