Kai Li
Researcher
Machine Learning Department, NEC Labs, America.
Office: 4 Independence Way, Suite 200, Princeton, NJ 08540
Email : kaili [at] nec-labs.com     Github     Google Scholar

About Me

I am a researcher in the Machine Learning Department of NEC Labs, America. Prior to this, I obtained my PhD from Northeastern University, and my master and bachelor degrees from Wuhan University. I interned in Adobe Research, NEC Labs, and JD AI Research, America. My research interests lie in machine learning and computer vision. In particular, I recently focus on learning from limited labeled data, including zero/few-shot learning, domain adaptation, unsupervised representation learning, etc.


I am actively looking for self-motivated interns to explore advanced research topics (e.g. label-efficient learning). Contact me if you are interested

News

  • 2021.07: Two papers accepted by ICCV 2021.
  • 2021.07: Two papers accepted by ACM MM 2021.
  • 2021.06: One paper accepted by IEEE Trans. on Image Processing (TIP).
  • 2021.06: Join NEC Labs, America as a researcher.
  • 2021.06: One paper accepted by IEEE Trans. on Cybernetics.
  • 2021.04: Defense my PhD.
  • 2021.03: One paper accepted by CVPR 2021.
  • 2020.12: One paper accepted by CHI 2021.
  • 2020.11: Receive the Dissertation Completion Fellowship from the university.
  • 2020.09: One paper accepted by TNNLS.
  • 2020.06: One paper accepted by IEEE Trans. on Big Data (TBD).
  • 2020.05: Receive the Outstanding Research Assistant Award from College of Engineering.
  • 2020.02: Two papers accepted by CVPR 2020.
  • 2019.08: One paper accepted by CIKM 2019.
  • 2019.07: Three papers are accepted by ICCV 2019.
  • 2018.12: One paper accepted by ICLR 2019.
  • 2018.09: One paper accepted by TNNLS.
  • 2018.07: One paper accepted by ACM MM 2018 as full long paper.
  • 2018.07: One paper accepted by ECCV 2018.
  • 2017.11: Two papers accepted by AAAI18.
  • 2016.09: Begin my new study journey in Northeastern University at Boston.

Selected Publications [Full list] [Google Scholar]

  • Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning [PDF][code]
    Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu.
    International Conference on Computer Vision (ICCV), 2021.

  • MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network [PDF]
    Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  • Adversarial Feature Hallucination Networks for Few-Shot Learning. [PDF][code]
    Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Cross-Domain Document Object Detection: Benchmark Suite and Method. [PDF][code]
    Kai Li, C. Wigington, C. Tensmeyer, H. Zhao, N. Barmpalios, V. Morariu, V. Manjunatha, T. Sun, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. [PDF][code]
    Kai Li, Martin Renqiang Min, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

  • Attention Bridging Network for Knowledge Transfer. [PDF][code]
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

  • Visual Semantic Reasoning for Image-Text Matching. [PDF][code]
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

  • On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability [PDF]
    Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf.
    ACM International Conference on Information and Knowledge Management (CIKM), 2019.

  • Residual Non-local Attention Networks for Image Restoration [PDF][code]
    Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu.
    International Conference on Learning Representations (ICLR), 2019.

  • Support Neighbor Loss for Person Re-Identification [PDF] [code]
    Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu.
    ACM Multimedia (ACM MM), 2018.

  • Discriminative Semi-coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification [PDF][code]
    Kai Li, Zhengming Ding, Sheng Li, Yun Fu.
    AAAI Conference on Artificial Intelligence (AAAI), 2018.

  • Latent Discriminant Subspace Representations for Multi-view Outlier Detection [PDF][code]
    Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu.
    AAAI Conference on Artificial Intelligence (AAAI), 2018.

  • Image Super-Resolution Using Very Deep Residual Channel Attention Networks. [PDF][code]
    Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu.
    European Conference on Computer Vision (ECCV), 2018.

  • Line Segment Matching: A Benchmark. [PDF][PDF][Project]
    Kai Li, Jian Yao, Mengsheng Lu, Heng Yuan, Teng Wu, YinXuan Li.
    IEEE Winter Conference of Applications of Computer Vision (WACV), 2016.

  • Joint Point and Line Segment Matching on Wide-Baseline Stereo Images. [PDF][Executable Binaries]
    Kai Li, Jian Yao, Menghan Xia, Li Li.
    IEEE Winter Conference of Applications of Computer Vision (WACV), 2016.

Selected Awards

  • Dissertation Completion Award, Northeastern University, 2020.
  • Outstanding Research Assistant Award, College of Engineering, Northeastern University, 2020.
  • Dean's Fellowship, College of Engineering, Northeastern University, 2016.
  • Wang Zhizhou Scholarship, Wuhan University, 2015.
  • Excellent Graduate Student, Wuhan University, 2015.
  • Outstanding Undergraduate Thesis, Hubei Province, 2015.
  • Best Undergraduate Thesis, School of Remote Sensing and Information Engineering, Wuhan University, 2014.

Professonal Activities

  • Reviewer for TPAMI, TIP, TNNLS, TKDD, IET Image Processing, JEI, Neurocomputing
  • Reviewer for CVPR, ECCV, ICCV, ICLR, NeurIPS, IJCAI, AAAI, WACV.
  • IEEE student member, AAAI student member.

Last Updated on 11th Dec, 2017

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