Long Chen is a postdoctoral research scientist at DVMM Lab, Columbia University in the City of New York working with Prof. Shih-Fu Chang (2021 - present). He obtained his Ph.D. degree in Computer Science from Zhejiang University and his Ph.D. advisor is Prof. Jun Xiao (2015 - 2020). During his Ph.D. period, he also worked closely with Prof. Hanwang Zhang from Nanyang Technological University and Prof. Tat-Seng Chua from National University of Singapore. He obtained his B.Eng. degree in Electronic Information Engineering from Dalian University of Technology (2011 - 2015). He was a senior research scientist at Tencent AI Lab (Shenzhen) working with Dr. Wei Liu (2020 - 2021).

Research Interest

His primary research interests are Computer Vision, Machine Learning, and Multimedia. Specifically, he aims to build an efficient vision system that can understand complex visual scenes as humans. By “human-like”, we mean that the vision systems should be equipped with three types of abilities:

1) Explainable: The model should rely on (right) explicit evidences when making decisions, ie, right for the right reasons.
Related Work: SCA-CNN (CVPR’17), CMAT (ICCV’19 Oral), SituFormer (AAAI’22), BIG (CVPR’22)

2) Robust: The model should be robust to some situations with only low-quality training data (eg, training samples are biased, noisy, or limited).
Related Work: CSS (CVPR’20), KDDAug (ECCV’22), NICE (CVPR’22 Oral), SP-AEN (CVPR’18), FCT (CVPR’22 Oral)

3) Universal: The model design is relatively universal, ie, it is expected to be effective for various tasks.
Related Work: CrossFormer (ICLR’22), GTR (EMNLP’21 Oral)

Selected Publications

  1. arXiv
    Lin Li, Long Chen, Hanrong Shi, Hanwang Zhang, Yi Yang, Wei Liu, and Jun Xiao
    arXiv preprint (arXiv) , arXiv , extension of CVPR’22 work
  2. arXiv
    Long Chen, Yuhang Zheng, Yulei Niu, Hanwang Zhang, and Jun Xiao
    arXiv preprint (arXiv) , arXiv , extension of CVPR’20 work
  3. ECCV
    Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, and Jun Xiao
    European Conference on Computer Vision (ECCV) , 2022 , Codes
  4. ECCV
    Long Chen, Yuhang Zheng, and Jun Xiao
    European Conference on Computer Vision (ECCV) , 2022 , Codes
  5. CVPR
    Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, and Shih-Fu Chang
    Computer Vision and Pattern Recognition (CVPR) , 2022 , Oral presentation
  6. CVPR
    Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, and Jun Xiao
    Computer Vision and Pattern Recognition (CVPR) , 2022 , Codes , Oral presentation
  7. CVPR
    Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, and Jun Xiao
    Computer Vision and Pattern Recognition (CVPR) , 2022 , Codes
  8. ICLR
    Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, and Wei Liu
    International Conference on Learning Representations (ICLR) , 2022 , Codes
  9. EMNLP
    Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, and Yuexian Zou
    Empirical Methods in Natural Language Processing (EMNLP) , 2021 , Codes , Oral presentation
  10. EMNLP
    Shaoning Xiao, Long Chen, Jian Shao, Yueting Zhuang, and Jun Xiao
    Empirical Methods in Natural Language Processing (EMNLP) , 2021 , Codes
  11. CVPR
    Long Chen, Zhihong Jiang, Jun Xiao, and Wei Liu
    Computer Vision and Pattern Recognition (CVPR) , 2021 , Codes
  12. CVPR
    Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, and Yueting Zhuang
    Computer Vision and Pattern Recognition (CVPR) , 2020 , Codes
  13. EMNLP
    Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, and Jun Xiao
    Empirical Methods in Natural Language Processing (EMNLP) , 2019 , Oral presentation
  14. ICCV
    Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, and Shih-Fu Chang
    International Conference on Computer Vision (ICCV) , 2019 , Oral presentation
  15. CVPR
    Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, and Shih-Fu Chang
    Computer Vision and Pattern Recognition (CVPR) , 2018 , Codes
  16. CVPR
    Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, and Tat-Seng Chua
    Computer Vision and Pattern Recognition (CVPR) , 2017 , Codes , Google citations over 1000+ times
    Top-100 Most Cited Paper within 5 Years in CVPR, Google Scholar 2021&2022