About

Zhangkai NI is an Assistant Professor of Computer Science and Technology at the Tongji University. He obtained his Ph.D. degree (Oct. 2021) in Computer Science from the City University of Hong Kong under the supervision of Prof. Sam Tak Wu KWONG (IEEE Fellow). Over the years, he was lucky to have some amazing collaborators who have helped me along the way. He was fortunate enough to work closely with Prof. Kai-Kuang MA (IEEE Fellow), Prof. Hanli WANG, Dr. Shiqi WANG, Dr. Lin Ma, Prof. Huanqiang ZENG, and Dr. Wenhan YANG.

His research interests include computer vision and image processing, particularly generative modeling, unsupervised learning, image/video restoration, image/video enhancement, and image/video quality assessment.

We are looking for Postdoctoral fellow, PhD students, Master students. Please feel free to contact me.

News

  • 2022.06: One paper on unpaired low-light image enhancement was accepted to ACM MM 2022. Project
  • 2020.09: One paper on learning-based just noticeable distortion (JND) profile inference was accepted to IEEE T-IP.
  • 2020.09: One paper on unsupervised image enhancement was accepted to IEEE T-IP.
  • 2020.07: One paper on unpaired image enhancement was accepted to ACM MM 2020.
  • 2020.06: We built a Just Noticeable Distortion (JND) dataset based on the Versatile Video Coding (VVC). Dataset
  • 2020.02: One paper on color image demosaicking was accepted to IEEE T-IP.
  • 2019.04: Received the outstanding master degree thesis of the chinese institute of electronics (CIE).
  • 2018.07: One paper on SCI quality assessment based on the multi-scale difference of Gaussian was accepted to IEEE T-CSVT.
  • 2018.06: One paper on SCI quality assessment based on the gabor feature was accepted to IEEE T-IP.
  • 2017.06: One paper on SCI quality assessment based on the edge model was accepted to IEEE T-IP.

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Professional Experiences

  • 2022.03 – now, Assistant Professor, Tongji University
  • 2021.10 – 2021.12, PostDoc, City University of Hong Kong
  • 2017.06 – 2018.06, Research Engineer, Nanyang Technological University
Awards and Honors

  • Shanghai Pujiang Talent Program, 2022
  • Institutional Research Tuition Scholarship of City University of Hong Kong, 2020
  • Outstanding Master Degree Thesis of the Chinese Institute of Electronics, 2018
Selected Publications (Google Scholar Profile)

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Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement
Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, and Sam Kwong.
In Proceedings of the 30th ACM International Conference on Multimedia (ACM Multimedia), October 2022
Paper | Code | Project
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Generalized Visual Quality Assessment of GAN-Generated Face Images
Yu Tian, Zhangkai Ni, Baoliang Chen, Shiqi Wang, Hanli Wang, and Sam Kwong.
Under revision
Paper | Code
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CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie Ye, Zhangkai Ni, Hanli Wang, Jian Zhang, Shiqi Wang, and Sam Kwong.
Under revision
Paper | Code
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Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong.
IEEE Transactions on Image Processing (T-IP), vol. 29, pp. 9140-9151, September 2020.
Paper | Code
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Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong.
In Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia), pp. 1697-1705, October 2020
Paper | Code
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Color Image Demosaicing Using Progressive Collaborative Representation
Zhangkai Ni, Kai-Kuang Ma, Huanqiang Zeng, and Baojiang Zhong.
IEEE Transactions on Image Processing (T-IP), vol. 29, pp. 4952-4964, March 2020.
Paper | Code
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Just Noticeable Distortion Profile Inference: A Patch-level Structural Visibility Learning Approach
Xuelin Shen, Zhangkai Ni, Wenhan Yang, Shiqi Wang, Xinfeng Zhang, and Sam Kwong.
IEEE Transactions on Image Processing (T-IP), vol. 30, pp. 26-38, November 2020.
Paper | Code | Dataset | Project
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A Gabor Feature-Based Quality Assessment Model for the Screen Content Images
Zhangkai Ni, Huanqiang Zeng, Lin Ma, Junhui Hou, Jing Chen, and Kai-Kuang Ma.
IEEE Transactions on Image Processing (T-IP), vol. 27, no. 9, pp. 4516-4528, September 2018.
Paper | Code | Project
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Screen Content Image Quality Assessment Using Multi-Scale Difference of Gaussian
Ying Fu, Huanqiang Zeng, Lin Ma, Zhangkai Ni, Jianqing Zhu, and Kai-Kuang Ma.
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), vol. 28, no. 9, pp. 2428-2432, September 2018.
Paper | Code
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ESIM: Edge Similarity for Screen Content Image Quality Assessment
Zhangkai Ni, Lin Ma, Huanqiang Zeng, Jing Chen, Canhui Cai, and Kai-Kuang Ma.
IEEE Transactions on Image Processing (T-IP), vol. 26, no. 10, pp. 4818-4831, October 2017.
Paper | Code | Dataset | Project
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Gradient Direction for Screen Content Image Quality Assessment
Zhangkai Ni, Lin Ma, Huanqiang Zeng, Canhui Cai, and Kai-Kuang Ma.
IEEE Signal Processing Letters (SPL), vol. 23, no. 10, pp. 1394–1398, August 2016.
Paper | Code | Project

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Academic Services

  • Journal Reviewer
    • IEEE Transactions on Image Processing (T-IP)
    • IEEE Transactions on Medical Imaging (T-MI)
    • IEEE Transactions on Dependable and Secure Computing (T-DSC)
    • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
    • IEEE Journal of Selected Topics in Signal Processing (J-STSP)
    • IEEE Transactions on Computational Imaging (T-CI)
    • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
    • IEEE Transactions on Intelligent Transportation Systems (T-ITS)
    • IEEE Signal Processing Letters (SPL)
    • SCIENCE CHINA Information Sciences (SCIS)
    • Journal of Visual Communication and Image Representation (JVCI)
  • Conference Reviewer
    • AAAI Conference on Artificial Intelligence (AAAI): 2022
    • ACM International Conference on Multimedia (ACM Multimedia): 2019, 2020
    • International Conference on Acoustics, Speech and Signal Processing (ICASSP): 2018, 2019, 2020
    • International Conference on Image Processing: 2016, 2018, 2019

Have a wonderful day!

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