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Shen Yan 0008
Person information
- affiliation: Google DeepMind, Google Research, ByteDance Seed, USA
- affiliation: Michigan State University, MI, USA
Other persons with the same name
- Shen Yan — disambiguation page
- Shen Yan 0001
— Hunan University, Changsha, China - Shen Yan 0002
— National University of Defense Technology, Changsha, Hunan, China - Shen Yan 0003
— Nanjing Forestry University, Nanjing, China - Shen Yan 0004
— Peking University, China - Shen Yan 0005
— Huawei Technologies Company Ltd., Shenzhen, China - Shen Yan 0006
— Taiyuan University of Technology, Taiyuan, China - Shen Yan 0007
— Meta
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2020 – today
- 2025
[j2]Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong:
Autoregressive Models in Vision: A Survey. Trans. Mach. Learn. Res. 2025 (2025)
[i17]Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Chaofan Tao, Yangfan He, Mi Zhang, Shen Yan:
SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning. CoRR abs/2506.01713 (2025)
[i16]Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang:
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS. CoRR abs/2507.05557 (2025)- 2024
[j1]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)
[c11]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CVPR 2024: 13030-13039
[c10]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CVPR 2024: 18243-18252
[c9]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024: 60785-60811
[i15]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024)
[i14]Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid:
Streaming Dense Video Captioning. CoRR abs/2404.01297 (2024)
[i13]Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo
, Ping Luo, Ngai Wong
:
Autoregressive Models in Vision: A Survey. CoRR abs/2411.05902 (2024)- 2023
[c8]Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. ICCV 2023: 13577-13587
[i12]Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang:
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR abs/2304.08756 (2023)
[i11]Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid:
UnLoc: A Unified Framework for Video Localization Tasks. CoRR abs/2308.11062 (2023)
[i10]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023)
[i9]Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid:
Pixel Aligned Language Models. CoRR abs/2312.09237 (2023)- 2022
[c7]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CVPR 2022: 3323-3333
[c6]Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang:
Deep AutoAugment. ICLR 2022
[i8]Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid:
Multiview Transformers for Video Recognition. CoRR abs/2201.04288 (2022)
[i7]Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang:
Deep AutoAugment. CoRR abs/2203.06172 (2022)
[i6]Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu:
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners. CoRR abs/2212.04979 (2022)- 2021
[c5]Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. ICML 2021: 11670-11681
[i5]Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang:
CATE: Computation-aware Neural Architecture Encoding with Transformers. CoRR abs/2102.07108 (2021)- 2020
[c4]Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew R. Willis:
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution. ECCV (1) 2020: 299-315
[c3]Abin Jose, Shen Yan, Mi Zhang, Jens-Rainer Ohm:
Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning. ICIP 2020: 1701-1705
[c2]Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang:
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? NeurIPS 2020
[i4]Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang:
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? CoRR abs/2006.06936 (2020)
[i3]Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu:
Deep Learning in the Era of Edge Computing: Challenges and Opportunities. CoRR abs/2010.08861 (2020)
2010 – 2019
- 2019
[c1]Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu:
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. ICCV Workshops 2019: 1942-1950
[i2]Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Hui Xu, Mi Zhang:
HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking. CoRR abs/1909.00122 (2019)
[i1]Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen
:
A closer look at network resolution for efficient network design. CoRR abs/1909.12978 (2019)
Coauthor Index

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last updated on 2026-05-19 22:38 CEST by the dblp team
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