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倪张凯，博士，同济大学计算机科学与技术学院副教授，博士生导师。2021年10月毕业于香港城市大学计算机科学系获博士学位。2021年10月至2021年12月在香港城市大学计算机科学系任职博士后研究员。2017年7月至2018年7月在新加坡南洋理工大学电气与电子工程学院任职助理研究员。
主要研究领域为计算机视觉、人工智能和医疗影像分析等。主要科研成果在IEEE TIP、IJCV、CVPR和NeurIPS等国内外学术期刊和会议上发表论文40余篇，申请及授权国内外发明专利20余项。主持国家和省部级等科研项目6项，其中包括国家重点研发计划子课题（2024）、国家自然科学基金（青年）（2023）、上海市浦江人才计划（2022）、上海市领军人才（海外）青年人才（2022）计划等项目。参与国家和省部级等科研项目6项，其中包括国家自然科学基金（面上）、科技部科技创新2030--重大项目课题、中国工程科技发展战略上海研究院咨询研究等项目。研究成果获日内瓦国际发明展银奖（2024），中国电子学会优秀硕士学位论文奖（2018）。担任CCF多媒体技术专业委员会执行委员、VALSE执行领域主席委员会执行委员、上海市图像图形学学会元宇宙专业委员会副主任、上海市计算机学会计算机视觉专业委员会副秘书长等。
指导的学生获上海市优秀毕业生、小米特等奖学金等。
个人主页： https://eezkni.github.io/
1. Peiqi Yang, Zhangkai Ni*, Hanli Wang, Wenhan Yang, Shiqi Wang, and Sam Kwong, "Shell-guided Compression of Voxel Radiance Fields, " IEEE Transactions on Image Processing (TIP), vol. 34, pp. 1179-1191, February 2025.
2. Xuelin Shen, Linfeng Pan, Zhangkai Ni*, Yulin He, Wenhan Yang, , Shiqi Wang, and Sam Kwong, "Breaking Boundaries: Unifying Imaging and Compression for HDR Image Compression," IEEE Transactions on Image Processing (TIP), vol. 34, pp. 510-521, January 2025.
3. Zhangkai Ni, Runyu Xiao, Wenhan Yang, Hanli Wang, Zhihua Wang, Lihua Xiang, and Liping Sun, "M2Trans: Multi-Modal Regularized Coarse-to-Fine Transformer for Ultrasound Image Super-Resolution," IEEE Journal of Biomedical and Health Informatics (JBHI), Early Access, September, 2024.
4. Zhangkai Ni, Yue Liu, Keyan Ding, Wenhan Yang, Hanli Wang, and Shiqi Wang, "Opinion-Unware Blind Quality Assessment using Multi-Scale Deep Feature Statistics," IEEE Transactions on Multimedia (TMM), vol. 26, pp. 10211-10224, May 2024.
5. Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong, “Towards Unsupervised DeepImage Enhancement with Generative Adversarial Network,” IEEE Transactions on Image Processing (TIP), vol. 29, pp. 9140-9151, September 2020.
6. Zhangkai Ni, Kai-Kuang Ma, Huanqiang Zeng, and Baojiang Zhong, "Color Image Demosaicing Using Progressive Collaborative Representation," IEEE Transactions on Image Processing (TIP), vol. 29, no. 1, pp. 4952-4964, March 2020.
7. Zhangkai Ni, Huanqiang Zeng, Lin Ma, Junhui Hou, JingChen, and Kai-Kuang. Ma, “A Gabor Feature-Based Quality Assessment Model for the Screen Content Images," IEEE Transactions on Image Processing (TIP), vol. 27, no. 9, pp. 4516-4528, September 2018.
8. Zhangkai Ni, Lin Ma, Huanqiang Zeng, Jing Chen, Canhui Cai, and Kai-Kuang Ma, "ESIM: Edge Similarity for Screen Content Image Quality Assessment," IEEE Transactions on Image Processing (TIP), vol. 26, no. 10, pp. 4818-4831, October 2017.
1. JunchengWu, Zhangkai Ni*, Hanli Wan, Wenhan Yang, Yuyin Zhou, and Shiqi Wang, " DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor,'' in Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024.
2. Zhangkai Ni, Juncheng Wu, Zian Wang, Wenhan Yang, Hanli Wan, and Lin Ma, "Misalignment-Robust Frequency Distribution Loss for Image Transformation," in Proceedings of the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), pp. 2910-2919, June 2024.
3. Zhangkai Ni, Peiqi Yang, Wenhan Yang, Hanli Wang, Lin Ma, and Sam Kwong, "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field,'' in Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 5, pp.4325-4333, 2024.
4. Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, and Sam Kwong, "Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement," in Proceedings of the 30th ACM International Conference on Multimedia (ACM Multimedia), pp. 1484-1492, October 2022.
5. Zhangkai Ni, Wenhan Yang, Lin Ma, Shiqi Wang, and Sam Kwong, "Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network," in Proceedings of the28th ACM International Conference on Multimedia (ACM Multimedia), pp. 1697-1705, October, 2020.
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