Long Chen

Postdoctoral Research Scientist
DVMM Lab, Dept. of Electrical Engineering
Columbia University


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 - ). His primary reasearch interests are Computer Vision, Machine Learning, and Multimedia. 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 (2016 - 2019), Prof. Shih-Fu Chang from Columbia University (2017 - 2018), and Prof. Tat-Seng Chua from National University of Singapore (2016 - 2017). He obtained his B.Eng. degree in Electronic Information Engineering from Dalian University of Technology (2011 - 2015). He was a senior researcher at Tencent AI Lab working with Dr. Wei Liu and Dr. Jue Wang (2020 - 2021).

For Columbia students, if you are interested in working with me on cutting-edge visual/multimedia understanding projects, please feel free to email me with your resume.

News

Dec, 2021 One paper is accepted by AAAI 2022.
Oct, 2021 We won the best paper award of the 2nd HUMA Workshop in ACM Multimedia 2021.
Aug, 2021 Two papers are accepted by EMNLP 2021 (one oral paper).
Jul, 2021 We won the 1st place in the 3rd Video Relation Understanding Challenge. The report and codes are released.
Jul, 2021 One paper is accepted by ACM Multimedia 2021 as oral presentation.
May, 2021 Two papers are accepted by ICML 2021 and KDD 2021.
Mar, 2021 One paper is accepted by CVPR 2021.
Dec, 2020 Two papers are accepted by AAAI 2021.

Selected Publications

  1. arXiv
    CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
    Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, and Wei Liu
    arXiv preprint arXiv:2108.00154 (arXiv) , arXiv , Codes
  2. CVPR
    Human-like Controllable Image Captioning with Verb-specific Semantic Roles
    Long Chen, Zhihong Jiang, Jun Xiao, and Wei Liu
    Computer Vision and Pattern Recognition (CVPR) , 2021 , Codes
  3. CVPR
    Counterfactual Samples Synthesizing for Robust Visual Question Answering
    Long Chen, Xin Yan, Jun Xiao, Hanwang Zhang, Shiliang Pu, and Yueting Zhuang
    Computer Vision and Pattern Recognition (CVPR) , 2020 , Codes
  4. EMNLP
    DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization
    Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, and Jun Xiao
    Empirical Methods in Natural Language Processing (EMNLP) , 2019 , Oral presentation
  5. ICCV
    Counterfactual Critic Multi-Agent Training for Scene Graph Generation
    Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, and Shih-Fu Chang
    International Conference on Computer Vision (ICCV) , 2019 , Oral presentation
  6. CVPR
    SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
    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

Professional Services

Conference Senior Program Committee (SPC): IJCAI (2021)
Conference Reviewers: CVPR (2019 - 2022), ICCV (2019 - 2021), ECCV (2020), ICLR (2021 - 2022), ICML (2021 - 2022), NeurIPS (2020 - 2021), ACL (2020 - 2022), EMNLP (2021), ACM MM (2020 - 2021), AAAI (2020 - 2022), IJCAI (2022) ACL Rolling Review (2021)
Journal Reviewer: TPAMI, TNNLS, TMM, TOMM, CVIU, PR, IEEE Access, Neurocomputing, ...