Shuaicheng Niu (牛帅程)

 
School of Computer Science and Engineering, Nanyang Technological University
Address: ABN-03A-04, 61 Nanyang Drive Singapore 637335
Email : niushuaicheng [at] gmail.com     Github     Google Scholar

About Me

I am a research fellow at NTU-WeBank Research Institute in Nanyang Technological University, working with Prof. Miao Chun Yan. I received my PhD degree from the South China University of Technology under the supervision of Prof. Mingkui Tan, where I also collaborated closely with Dr. Jiaxiang Wu and Dr. Peilin Zhao from Tencent AI Lab. My research interests are broadly in machine learning and mainly focus on:


  • Out-of-Distribution Generalization: Efficient Test-Time (Small/Large Vision/Vision-Language) Model Adaptation in the Open Real World.
  • Transfer Learning: Unsupervised/Semi-supervised/Continual/Source Data Free Domain Adaptation.
  • Automated Machine Learning: Neural Architecture Search, Discrete Optimization and Applications.

News

  • 2024.01: One paper accepted by ICLR 2024!
  • 2023.09: One paper accepted by NeurIPS 2023!
  • 2023.07: One paper accepted by ACM MM 2023!
  • 2023.06: Successfully accomplished my PhD thesis defense!
  • 2023.05: One paper accepted by IEEE TMM!
  • 2023.03: Last day at Tencent. Thanks to everything here!
  • 2023.01: One paper is accepted by ICLR 2023 as Oral (Top-5%)! Happy Chinese New Year!
  • 2022.12: We are the second place in AutoML Decathlon 2022 (NeurIPS Competition Track). Thanks to my TEG-AutoML teammates!
  • 2022.07: One collaborative paper is accepted by ECCV 2022!
  • 2022.05: One paper is accepted by ICML 2022!
  • 2022.04: Two papers w.r.t. boosting test-time performance and test-time adaptation are released to arXiv!
  • 2022.03: I have been invited as a reviewer for NeurIPS 2022, ECCV 2022 and TNNLS.
  • 2022.01: I have been invited as a reviewer for ICML 2022.
  • 2021.12: I have been invited as a reviewer for CVPR 2022.
  • 2021.10: I won the President Scholarship of SCUT!
  • 2021.11: One paper is accepted by Neural Networks 2021.
  • 2021.07: Our paper is accepted by ACM MM 2021 as Oral!
  • 2021.05: Our paper is accepted by ICML 2021 as Spotlight!
  • 2021.05: Our paper is accepted by IJCAI 2021.
  • 2021.03: I am a Ph.D candidate now!
  • 2021.03: Our paper is accepted by CVPR 2021!
  • 2020.12: I have been invited as a reviewer for TIP.
  • 2020.07: One paper is accepted by TIP 2020!
  • 2020.04: One paper for tackling COVID-19 is released to arXiv. Hope everyone well under the epidemic!
  • 2019.11: Our paper is accepted by TKDE 2019.
  • 2019.08: Start my internship at Tencent AI Lab in Shenzhen.
  • 2018.09: Begin my journey in SMIL Lab, South China University of Technology at Guangzhou.

Selected Papers [Full List]


-----------------------Conference Papers-----------------------

Towards Stable Test-Time Adaptation in Dynamic Wild World
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Zhiquan Wen, Yaofo Chen, Peilin Zhao, Mingkui Tan
International Conference on Learning Representations (ICLR), 2023. Oral, Accepted Notable-Top-5%
[Paper] [Code] [机器之心/极市平台/将门创投/etc.]
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Shijian Zheng, Peilin Zhao, Mingkui Tan
International Conference on Machine Learning (ICML), 2022.
[Paper] [Code] [Poster]
AdaXpert: Adapting Neural Architecture for Growing Data
Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan
International Conference on Machine Learning (ICML), 2021.
[Paper] [Code]
Towards Accurate Text-based Image Captioning with Content Diversity Exploration
Shuaicheng Niu*, Guanghui Xu* (co-first), Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper] [Code]
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
Zhen Qiu, Yifan Zhang, Hongbin Lin, Shuaicheng Niu, Yanxia Liu, Qing Du, Mingkui Tan
International Joint Conference on Artificial Intelligence (IJCAI), 2021.
[Paper] [Code]

-------------------------Journal Papers------------------------

Disturbance-immune weight sharing for neural architecture search
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan
Neural Networks (NN), 2021.
[Paper]
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
IEEE Transactions on Image Processing (TIP), 2020.
[Paper] [Code]
Online Adaptive Asymmetric Active Learning with Limited Budgets
Shuaicheng Niu*, Yifan Zhang* (co-first), Peilin Zhao* (co-first), Qingyao Wu, Jiezhang Cao, Junzhou Huang, Mingkui Tan
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
[Paper] [Code]

--------------------------Pre-print Papers------------------------

Boost Test-Time Performance with Closed-Loop Inference
Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Guanghui Xu, Haokun Li, Junzhou Huang, Yaowei Wang, Mingkui Tan
arXiv:2203.10853, 2022.
[arXiv]
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
arXiv:2005.01577, 2020.
[arXiv] [Code]


Professonal Activities

  • IEEE Transactions on Image Processing (TIP), Reviewer
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Reviewer
  • International Conference on Computer Vision (ICCV), Reviewer 23
  • Conference on Neural Information Processing Systems (NeurIPS), Reviewer 22, 23
  • International Conference on Machine Learning (ICML), Reviewer 22, 23
  • The Conference on Computer Vision and Pattern Recognition (CVPR), Reviewer 22, 23
  • European Conference on Computer Vision (ECCV), Reviewer 22
  • IEEE student member, CCF student member

Experiences

    SMIL Lab, South China University of Technology, Guangzhou, China

    Research Assistant,   Sep. 2018 ~ June 2023

    Supervisor: Prof. Mingkui Tan

    Tencent AI Lab, Shenzhen, China

    Research Intern,   August 2019 ~ March 2023

    Mentors: Dr. Jiaxiang Wu and Dr. Peilin Zhao

Links

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^_^ The source code is adapted from both Jon Barron and Can Qin.