| DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients S Zhou, Y Wu, Z Ni, X Zhou, H Wen, Y Zou arXiv preprint arXiv:1606.06160, 2016 | 2577 | 2016 |
| East: an efficient and accurate scene text detector X Zhou, C Yao, H Wen, Y Wang, S Zhou, W He, J Liang Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017 | 2128 | 2017 |
| Real-time intermediate flow estimation for video frame interpolation Z Huang, T Zhang, W Heng, B Shi, S Zhou European Conference on Computer Vision, 624-642, 2022 | 392 | 2022 |
| Scene text detection via holistic, multi-channel prediction. arXiv 2016 C Yao, X Bai, N Sang, X Zhou, S Zhou, Z Cao arXiv preprint arXiv:1606.09002, 2016 | 298 | 2016 |
| Learning to Paint With Model-based Deep Reinforcement Learning Z Huang, W Heng, S Zhou 2019 IEEE International Conference on Computer Vision (ICCV), 1-10, 2019 | 183 | 2019 |
| FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer Y Lin, T Zhang, P Sun, Z Li, S Zhou | 167* | 2021 |
| Balanced quantization: An effective and efficient approach to quantized neural networks SC Zhou, YZ Wang, H Wen, QY He, YH Zou Journal of Computer Science and Technology 32, 667-682, 2017 | 131 | 2017 |
| Genegan: Learning object transfiguration and attribute subspace from unpaired data S Zhou, T Xiao, Y Yang, D Feng, Q He, W He arXiv preprint arXiv:1705.04932, 2017 | 114 | 2017 |
| Learning to run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments Ł Kidziński, SP Mohanty, CF Ong, Z Huang, S Zhou, A Pechenko, ... The NIPS'17 Competition: Building Intelligent Systems, 121-153, 2018 | 101 | 2018 |
| Effective quantization methods for recurrent neural networks Q He, H Wen, S Zhou, Y Wu, C Yao, X Zhou, Y Zou arXiv preprint arXiv:1611.10176, 2016 | 94 | 2016 |
| A dynamic multi-scale voxel flow network for video prediction X Hu, Z Huang, A Huang, J Xu, S Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 78 | 2023 |
| Occdepth: A depth-aware method for 3d semantic scene completion R Miao, W Liu, M Chen, Z Gong, W Xu, C Hu, S Zhou arXiv preprint arXiv:2302.13540, 2023 | 77 | 2023 |
| Crowd-sourcing indoor locations F Zhang, EY Chang, Y Huang, S Zhou US Patent 9,335,175, 2016 | 71 | 2016 |
| UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View S Zhou, W Liu, C Hu, S Zhou, C Ma Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 50 | 2023 |
| Exploiting local structures with the kronecker layer in convolutional networks S Zhou, JN Wu, Y Wu, X Zhou arXiv preprint arXiv:1512.09194, 2015 | 46 | 2015 |
| Active learning approaches to enhancing neural machine translation Y Zhao, RH Zhang, S Zhou, Z Zhang Findings of the Association for Computational Linguistics: EMNLP 2020, 1796-1806, 2020 | 42 | 2020 |
| An efficient simulation algorithm for cache of random replacement policy S Zhou Network and Parallel Computing: IFIP International Conference, NPC 2010 …, 2010 | 42 | 2010 |
| The machine learning for combinatorial optimization competition (ml4co): Results and insights M Gasse, S Bowly, Q Cappart, J Charfreitag, L Charlin, D Chételat, ... NeurIPS 2021 competitions and demonstrations track, 220-231, 2022 | 37 | 2022 |
| Barometric pressure sensor based orientation measurement S Zhou, EY Chang US Patent 9,383,202, 2016 | 36 | 2016 |
| Learning to Run with Actor-Critic Ensemble Z Huang, S Zhou, BE Zhuang, X Zhou https://arxiv.org/abs/1712.08987?context=cs, 2017 | 34 | 2017 |
Zhewei HuangStepFun在 pku.edu.cn 的电子邮件经过验证
