Shen Yan

According to our database, Shen Yan authored at least 20 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS.

Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang

CoRR, July, 2025

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning.

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

CoRR, June, 2025

Autoregressive Models in Vision: A Survey.

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

Trans. Mach. Learn. Res., 2025

2024

Efficient Large Language Models: A Survey.

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Trans. Mach. Learn. Res., 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Streaming Dense Video Captioning.

Xingyi Zhou, Anurag Arnab, Shyamal Buch, Shen Yan, Austin Myers, Xuehan Xiong, Arsha Nagrani, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pixel Aligned Language Models.

Jiarui Xu, Xingyi Zhou, Shen Yan, Xiuye Gu, Anurag Arnab, Chen Sun, Xiaolong Wang, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning.

Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang

CoRR, 2023

UnLoc: A Unified Framework for Video Localization Tasks.

Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners.

Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu

CoRR, 2022

Deep AutoAugment.

Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multiview Transformers for Video Recognition.

Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.

Shen Yan, Kaiqiang Song, Zhe Feng, Mi Zhang

CoRR, 2021

CATE: Computation-aware Neural Architecture Encoding with Transformers.

Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Deep Learning in the Era of Edge Computing: Challenges and Opportunities.

Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu

CoRR, 2020

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning.

Abin Jose, Shen Yan, Mi Zhang, Jens-Rainer Ohm

Proceedings of the IEEE International Conference on Image Processing, 2020

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution.

Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew R. Willis

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A closer look at network resolution for efficient network design.

Taojiannan Yang, Sijie Zhu, Shen Yan, Mi Zhang, Andrew R. Willis, Chen Chen

CoRR, 2019

HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking.

Shen Yan, Biyi Fang, Faen Zhang, Yu Zheng, Xiao Zeng, Mi Zhang, Hui Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019