个人信息
Personal Information
联系方式
Contact Information
个人简介
Personal Profile
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、院务助理，上海市领军人才（海外）青年人才和上海市浦江人才。2021年10月毕业于香港城市大学计算机科学系获博士学位，并于2021年10月至12月在该校任博士后研究员。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。科研方面，在IEEE TPAMI、TIP、IJCV、CVPR、ICML和NeurIPS等国内外权威学术期刊与会议上发表论文40余篇，申请及授权国内外发明专利20余项，谷歌学术引用1300余次。主持国家及省部级等科研项目8项，包括国家自然科学基金面上项目（2025）、国家重点研发计划子课题（2024）、国家自然科学基金青年项目（2022）等。参与国家及省部级等科研项目6项，包括国家自然科学基金面上项目、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。科研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）等荣誉。教学与人才培养方面，获同济大学优秀毕业设计指导教师（2025）、优秀本科生导师（2024）、新生院优秀班主任（2023）等荣誉。所指导学生多次荣获上海市优秀毕业生，小米特等奖学金等荣誉。担任CCF多媒体技术专业委员会执行委员，CSIG三维成像与显示专委会委员，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职务。
个人主页： https://eezkni.github.io/
10. Zhangkai Ni, Yang Zhang, Kerui Ren, Wenhan Yang, Hanli Wang, and Sam Kwong, "Semantic Masking with Curriculum Learning for Robust HDR Image Reconstruction," International Journal of Computer Vision (IJCV), pp. 1-16, July 2025.
9. Zhangkai Ni, Yang Zhang, Wenhan Yang, Hanli Wang, Shiqi Wang, and Sam Kwong, "Structural Similarity-Inspired Unfolding for Lightweight Image Super-Resolution," IEEE Transactions on Image Processing (TIP), vol. 34, pp. 3861-3872, June 2025.
8. 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.
7. 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.
6. 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), vol. 29, no. 5, pp. 3112-3123, May 2025.
5. Zhangkai Ni, Yue Liu, Keyan Ding, Wenhan Yang, Hanli Wang, and Shiqi Wang, "Opinion-Unaware Blind Quality Assessment using Multi-Scale Deep Feature Statistics," IEEE Transactions on Multimedia (TMM), vol. 26, pp. 10211-10224, May 2024.
4. 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.
3. 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.
2. 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.
1. 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.
7. Xinyue Li, Zhangkai Ni* and Wenhan Yang, "AFUNet: Cross-Iterative Alignment-Fusion Synergy for HDR Reconstruction via Deep Unfolding Paradigm," in Proceedings of the International Conference on Computer Vision (ICCV), October 2025.
6. Hongbi Zhou and Zhangkai Ni*, "Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting," in Proceedings of the International Conference on Machine Learning (ICML), July 2025.
5. 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.
4. 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.
2. 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.
1. Zhangkai Ni, Wenhan Yang, Lin Ma, Shiqi Wang, and Sam Kwong, "Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network," in Proceedings of the 28th ACM International Conference on Multimedia (ACM Multimedia), pp. 1697-1705, October 2020.
文件上传中...
同济大学