| Multiview Transformers for Video Recognition S Yan, X Xiong, A Arnab, Z Lu, M Zhang, C Sun, C Schmid Computer Vision and Pattern Recognition (CVPR), 2022 | 216 | 2022 |
| Improve Unsupervised Domain Adaptation with Mixup Training S Yan, H Song, N Li, L Zou, L Ren arXiv preprint arXiv:2001.00677, 2020 | 202 | 2020 |
| Training high-performance low-latency spiking neural networks by differentiation on spike representation Q Meng, M Xiao, S Yan, Y Wang, Z Lin, ZQ Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 114 | 2022 |
| Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? S Yan, Y Zheng, W Ao, X Zeng, M Zhang Neural Information Processing Systems (NeurIPS), 2020 | 99 | 2020 |
| MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution T Yang, S Zhu, C Chen, S Yan, M Zhang, A Willis European Conference on Computer Vision (ECCV), 2020 | 81 | 2020 |
| VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners S Yan, T Zhu, Z Wang, Y Cao, M Zhang, S Ghosh, Y Wu, J Yu arXiv preprint arXiv:2212.04979, 2023 | 46 | 2023 |
| Deep Learning in the Era of Edge Computing: Challenges and Opportunities M Zhang, F Zhang, ND Lane, Y Shu, X Zeng, B Fang, S Yan, H Xu Fog Computing: Theory and Practice, 67-78, 2020 | 44 | 2020 |
| Deep AutoAugment Y Zheng, Z Zhang, S Yan, M Zhang International Conference on Learning Representations (ICLR), 2022 | 31 | 2022 |
| NAS-Bench-x11 and the Power of Learning Curves S Yan, C White, Y Savani, F Hutter Neural Information Processing Systems (NeurIPS), 2021 | 24 | 2021 |
| CATE: Computation-aware Neural Architecture Encoding with Transformers S Yan, K Song, F Liu, M Zhang International Conference on Machine Learning (ICML), 2021 | 24 | 2021 |
| HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking S Yan, B Fang, F Zhang, Y Zheng, X Zeng, H Xu, M Zhang Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019 | 24 | 2019 |
| Efficient large language models: A survey Z Wan, X Wang, C Liu, S Alam, Y Zheng, Z Qu, S Yan, Y Zhu, Q Zhang, ... arXiv preprint arXiv:2312.03863 1, 2023 | 23 | 2023 |
| Binary hashing using siamese neural networks A Jose, S Yan, I Heisterklaus IEEE International Conference on Image Processing (ICIP), 2017 | 11 | 2017 |
| Soft Augmentation for Image Classification Y Liu, S Yan, L Leal-Taixé, J Hays, D Ramanan Computer Vision and Pattern Recognition (CVPR), 2023 | 10 | 2023 |
| Deep Fisher Faces H Hanselmann, S Yan, H Ney The British Machine Vision Conference (BMVC), 2017 | 10 | 2017 |
| UnLoc: A Unified Framework for Video Localization Tasks S Yan, X Xiong, A Nagrani, A Arnab, Z Wang, W Ge, D Ross, C Schmid International Conference on Computer Vision (ICCV), 2023 | 9 | 2023 |
| Pixel aligned language models J Xu, X Zhou, S Yan, X Gu, A Arnab, C Sun, X Wang, C Schmid arXiv preprint arXiv:2312.09237, 2023 | 6 | 2023 |
| Word-based Domain Adaptation for Neural Machine Translation S Yan, L Dahlmann, P Petrushkov, S Hewavitharana, S Khadivi International Workshop on Spoken Language Translation (IWSLT), 2018 | 6 | 2018 |
| Streaming Dense Video Captioning X Zhou, A Arnab, S Buch, S Yan, A Myers, X Xiong, A Nagrani, C Schmid arXiv preprint arXiv:2404.01297, 2024 | | 2024 |
| VideoPrism: A Foundational Visual Encoder for Video Understanding L Zhao, NB Gundavarapu, L Yuan, H Zhou, S Yan, JJ Sun, L Friedman, ... arXiv preprint arXiv:2402.13217, 2024 | | 2024 |
Mi ZhangAssociate Professor, Director of AIoT and MLSys Lab, The Ohio State UniversityVerified email at osu.edu
