Kai Li

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.

The Machine Learning Department of NEC Labs, America is hiring full-time researchers. Contact me if you are interested

News

2022.02: One papers accepted by CVPR 2022.
2022.02: One papers accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI).
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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