Dr. Kai Zhao is currently a postdoctoral researcher at the University of California, Los Angeles working with professor Kyung Hyun Sung on medical image analysis. Before joining UCLA, he was a senior research scientist in Tencent Youtu lab. He received his Ph.D from Nankai University in 2020, under the supervision of professor Ming-ming Cheng. Before that, he spent 7 wonderful years in Shanghai University where he got BS and MS degrees in 2014 and 2017, respectively, under the supervision of Wei Shen (now professor at Shanghai Jiaotong University). Dr. Zhao's research interests broadly lie at the intersection of Machine Learning , Computer Vision, and Medical Image Analysis . He co-authored over 20 research papers on top-tier venues in the field of AI and computer vision, with over 4,000 citations on Google Scholar. His research on palmprint recognition was highlighted by MIT technology review, and applied to WeChat palm payment. He was an active contributor to open-source projects such as PyTorch and mmdetection.

• Machine Learning
• Deep Learning
• Medical Information Systems
• Computer Vision and Graphics

• Kai Zhao, Alex Ling Yu Hung, Kaifeng Pang, Haoxin Zheng, and Kyunghyun Sung. Mri super-resolution with partial diffusion models. IEEE Transactions on Medical Imaging, 2024
• Kai Zhao, Zuojie He, Alex Hung, and Dan Zeng. Dominant shuffle: A simple yet powerful data augmentation for time-series prediction. arXiv preprint arXiv:2405.16456, 2024
• Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, TaoWang, Ruixin Zhang, Shouhong Ding,Wei Jia, andWei Shen. Bezierpalm3d: Synthetical pretraining for palmprint authentication. IEEE Transactions on Image Processing, (under review)
• Alex Ling Yu Hung, Haoxin Zheng, Kai Zhao, Kaifeng Pang, Demetri Terzopoulos, and Kyunghyun Sung. Crossslice attention and evidential critical loss for uncertainty-aware prostate cancer detection. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 113–123. Springer, 2024
• Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, TaoWang, Ruixin Zhang, Shouhong Ding,Wei Jia, andWei Shen. Bézierpalm: Afree lunch for palmprint recognition. In European Conference on ComputerVision, pages 19–36. Springer, 2022
• Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, and Wei Shen. Contrastmask: Contrastive learning to segment every thing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 11604–11613, 2022
• Kai Zhao, XuehuiWang, Xingyu Chen, Ruixin Zhang, andWei Shen. Rethinking mask heads for partially supervised instance segmentation. Neurocomputing, 514:426–434, 2022
• Lei Shen, Yingyi Zhang, Kai Zhao, Ruixin Zhang, andWei Shen. Distribution alignment for cross-device palmprint recognition. Pattern Recognition, 132:108942, 2022
• Jia Li, Junjie Zhang, Fansheng Chen, Kai Zhao, and Dan Zeng. Adaptive material matching for hyperspectral imagery destriping. IEEE Transactions on Geoscience and Remote Sensing, 60:1–20, 2022
• Kai Zhao, Qi Han, Chang-Bin Zhang, Jun Xu, and Ming-Ming Cheng. Deep hough transform for semantic line detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(9):4793–4806, 2021
• Kai Zhao, Jingyi Xu, and Ming-Ming Cheng. Regularface: Deep face recognition via exclusive regularization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 1136–1144, 2019
• Kai Zhao, Shanghua Gao, Wenguan Wang, and Ming-Ming Cheng. Optimizing the f-measure for threshold-free salient object detection. In Proceedings of the IEEE/CVF international conference on computer vision, pages 8849–8857, 2019
• Shang-Hua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, and Philip Torr. Res2net: A new multi-scale backbone architecture. IEEE transactions on pattern analysis and machine intelligence, 43(2):652–662, 2019
• Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, and Alan Yuille. Deep differentiable random forests for age estimation. IEEE transactions on pattern analysis and machine intelligence, 43(2):404–419, 2019
• Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, and Ming-Ming Cheng. Hi-fi: Hierarchical feature integration for skeleton detection. In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pages 1191–1197. International Joint Conferences on Artificial Intelligence Organization, 7 2018
• Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, and Alan L Yuille. Deep regression forests for age estimation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 2304–2313, 2018
• Wei Shen, Kai Zhao, Yilu Guo, and Alan L Yuille. Label distribution learning forests. Advances in neural information processing systems, 30, 2017
• Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, and Xiang Bai. Object skeleton extraction in natural images by fusing scale-associated deep side outputs. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 222–230, 2016

No content available to display!!!

No content available to display!!!