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Shan You 游山

Make it simple. Make it work.

I am currently a Researcher at Sensetime working with Fei Wang and Chen Qian, and also a post doc at Tsinghua University supervised by Prof. Changshui Zhang (IEEE Fellow). Before that, I received my Ph.D. degree in computer science from the School of EECS, Peking University in 2019, advised by Prof. Chao Xu. I am also very hornored to be jointly supervised by Prof. Dacheng Tao (IEEE Fellow) when visiting the UBTech Sydney AI Institute, the University of Sydney. In 2014, I received my bachelor's degree both in mathematics and applied mathematics (elite class) and in English at Xi'an Jiaotong University.

  youshan@sensetime.com                               Google Scholar

Research Interest

My research interests include AutoML, reinforcement learning and other computer vision and machine learning topics, such as face recognition and object tracking.


Recruit

I'm recruiting self-motivated interns who have strong coding skills to work with me on computer vision and AutoML related research topics. Welcome to send me your detailed resume!


News

  • [2020/11] One paper about NAS was released on Arxiv.
  • [2020/10] One paper about quantum NAS was released on Arxiv. Our QAS implicitly learns a rule that can well suppress the influence of quantum noise and the barren plateau.
  • [2020/09] Two papers were accepted to NeurIPS 2020.
  • [2020/07] Two papers about quantum machine learning are released on Arxiv (link1 & link2).
  • [2020/02] One paper about NAS was accepted to CVPR 2020.
  • [2019/11] Two papers were accepted to AAAI 2020.
  • [2019/11] One paper (oral) was accepted to ICDM 2019.
  • [2019/05] In 7th Visual Object Tracking (VOT 2019) Challenge, our team won the 1st place in RT track. Check the report at ICCV 2019 workshop.

Publications

2020

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
Shangchen Du*, Shan You*, Xiaojie Li, Jianlong Wu, Fei Wang, Chen Qian, Changshui Zhang (*co-first author)
Advances in Neural Information Processing Systems (NeurIPS), 2020
[PDF]

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
Advances in Neural Information Processing Systems (NeurIPS), 2020
[PDF] [Code]

GreedyNAS: Towards Fast One-Shot NAS with Greedy Supernet
Shan You, Tao Huang, Mingmin Yang, Fei Wang, Chen Qian, Changshui Zhang
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[PDF] [Poster] [Promotion Video]

Reborn Filters: Pruning Convolutional Neural Networks with Limited Data
Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2020
[PDF]

Learning Student Networks with Few Data
Shumin Kong, Tianyu Guo, Shan You, Chang Xu
AAAI Conference on Artificial Intelligence (AAAI), 2020
[PDF]

2019

Reinforced Molecule Generation with Heterogeneous States
Fangzhou Shi, Shan You, Chang Xu
IEEE International Conference on Data Mining (ICDM, Oral), 2019
[PDF]

2018

Online Dictionary Learning with Confidence
Shan You, Chang Xu, Chao Xu
IEEE International Conference on Data Mining (ICDM, Oral), 2018
[PDF]

Learning with Single-Teacher Multi-Student
Shan You, Chang Xu, Chao Xu, Dacheng Tao
AAAI Conference on Artificial Intelligence (AAAI), 2018
[PDF]

2017

Learning from Multiple Teacher Networks
Shan You, Chang Xu, Chao Xu, Dacheng Tao
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017
[PDF] [Spotlight]

Privileged Multi-label Learning
Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI), 2017
[PDF]

DCT Regularized Extreme Visual Recovery
Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao
IEEE Transactions on Image Processing (TIP), 2017
[PDF]

Fast Compressive Phase Retrieval under Bounded Noise
Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu
AAAI Conference on Artificial Intelligence (AAAI), 2017
[PDF]

2016

CNNpack: Packing Convolutional Neural Networks in the Frequency Domain
Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao
Neural Information Processing Systems (NIPS), 2016
[PDF] [Supp]

DCT inspired feature transform for image retrieval and reconstruction
Yunhe Wang, Miaojing Shi, Shan You, Chao Xu
IEEE Transactions on Image Processing (TIP), 2017
[PDF]


Manuscripts

Explicitly Learning Topology for Differentiable Neural Architecture Search
Tao Huang, Shan You, Yibo Yang, Zhuozhuo Tu, Fei Wang, Chen Qian, Changshui Zhang
[Arxiv]

Data Agnostic Filter Gating for Efficient Deep Networks
Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
[Arxiv]

Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers
Yuxuan Du, Tao Huang, Shan You, Min-Hsiu Hsieh, Dacheng Tao
[Arxiv]

On the learnability of quantum neural networks
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
[Arxiv]

Quantum differentially private sparse regression learning
Yuxuan Du, Min-Hsiu Hsieh, Tongliang Liu, Shan You, Dacheng Tao
[Arxiv]

Bringing Giant Neural Networks Down to Earth with Unlabeled Data
Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu
[Arxiv]

Streaming Label Learning for Modeling Labels on the Fly
Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
[Arxiv]


Academic Services

Reviewer for Conferences:
International Conference on Machine Learning (ICML, 2020)
Neural Information Processing Systems (NeurIPS, 2020/2018/2016)
International Conference on Learning Representations (ICLR, 2021)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, 2021)
AAAI Conference on Artificial Intelligence (AAAI, 2021/2020/2019, PC member)
International Joint Conferences on Artificial Intelligence (IJCAI, 2021/2020/2019/2018/2017, PC member)

Reviewer for Journals:
IEEE Journal on Selected Areas on Communications (JSAC), Pattern Recognition (PR), Information Sciences, Neurocomputing

Volunteering:
International Conference on Machine Learning (ICML, 2017)
The 10th Joint workshop on Machine Perception and robotics (MPR, 2014)


Selected Awards

[2019/05] Champion of 7th Visual Object Tracking (VOT 2019) Challenge in RT track. Check the report at ICCV 2019 workshop.
[2019/06] Qualcomm Scholarship, Peking University
[2019/05] Outstanding Graduates of Beijing, Beijing
[2019/05] Outstanding Graduates of Peking University, Peking University
[2018/06] Presidential Scholarship of Peking University, Peking University