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Kai Zhao

University of California, Los Angeles

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 4,700 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.

Professional Experience:

  • Mar 2022~: Postdoctoral researcher, UCLA, Los Angeles, USA.
  • Oct 2020~Feb 2022: Senior research scientist, Tencent Youtu lab, Shanghai, PR China.
  • Sep 2018~Jan 2019: Research intern, Panasonic Research Development Center, Singapore.
  • Sep 2017~Jun 2020: Ph.D. in Computer Science, Nankai Univeristy, Tianjin, PR China.
  • Jul 2016~Nov 2016: Research intern, Tencent Youtu lab, Shanghai, PR China.
  • Sep 2014~Jun 2017: MS in electronic engineering, Shanghai University, Shanghai, PR China.
  • Sep 2010~Jun 2014: BS in electronic engineering, Shanghai University, Shanghai, PR China.

Publications:

  • Kaifeng Pang and Kai Zhao* and Alex Ling Yu Hung and Haoxin Zheng and Ran Yan and Kyunghyun Sung, "NExpR: Neural Explicit Representation for fast arbitrary-scale medical image super-resolution", Computers in Biology and Medicine, 2025. (IF=7) (* corresponding author) DOI: 10.1016/j.compbiomed.2024.109354  [PDF]  [Google Scholar] 
  • Kai Zhao and Alex Ling Yu Hung and Kaifeng Pang and Haoxin Zheng and Kyunghyun Sung, "MRI Super-Resolution with Partial Diffusion Models", IEEE Transactions on Medical Imaging, 2024. (IF=8.9) DOI: 10.1109/TMI.2024.3483109  [PDF]  [Google Scholar] 
  • Kai Zhao and Zuojie He and Alex Hung and Dan Zeng, "Dominant Shuffle: A Simple Yet Powerful Data Augmentation for Time-series Prediction", arXiv:2405.16456, 2024. [Google Scholar] 
  • Kai Zhao and Kaifeng Pang and Alex LingYu Hung and Haoxin Zheng and Ran Yan and Kyunghyun Sung, "A Deep Learning-Based Framework for Highly Accelerated Prostate MR Dispersion Imaging", Cancers, 2024. (IF=4.5) DOI: 10.3390/cancers16172983  [PDF]  [Google Scholar] 
  • Alex Ling Yu Hung and Haoxin Zheng and Kai Zhao and Kaifeng Pang and Demetri Terzopoulos and Kyunghyun Sung, "Cross-Slice Attention and Evidential Critical Loss for Uncertainty-Aware Prostate Cancer Detection", International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024. [Google Scholar] 
  • Kai Zhao and Tao Wang and Ruixin Zhang and Wei Shen, "Adaptive feature alignment for adversarial training", Pattern Recognition Letters, 2024. (IF=3.9) DOI: j.patrec.2024.10.004  [PDF]  [Google Scholar] 
  • Alex Ling Yu Hung and Kai Zhao and Haoxin Zheng and Ran Yan and Steven S Raman and Demetri Terzopoulos and Kyunghyun Sung, "Med-cDiff: Conditional medical image generation with diffusion models", Bioengineering, 2023. [Google Scholar] 
  • Yating Xu and Kai Zhao and Liangang Zhang and Mengyao Zhu and Dan Zeng, "Hyperspectral anomaly detection with vision transformer and adversarial refinement", International Journal of Remote Sensing, 2023. [Google Scholar] 
  • Kai Zhao and Lei Shen and Yingyi Zhang and Chuhan Zhou and Tao Wang and Ruixin Zhang and Shouhong Ding and Wei Jia and Wei Shen, "B'ezierpalm: A free lunch for palmprint recognition", European Conference on Computer Vision, 2022. DOI: 10.1007/978-3-031-19778-9_2  [PDF]  [Google Scholar] 
  • Xuehui Wang and Kai Zhao and Ruixin Zhang and Shouhong Ding and Yan Wang and Wei Shen, "Contrastmask: Contrastive learning to segment every thing", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022. [Google Scholar] 
  • Lei Shen and Yingyi Zhang and Kai Zhao* and Ruixin Zhang and Wei Shen, "Distribution alignment for cross-device palmprint recognition", Pattern Recognition, 2022. (IF=7.5) (* corresponding author) DOI: 10.1016/j.patcog.2022.108942  [PDF]  [Google Scholar] 
  • Jia Li and Junjie Zhang and Fansheng Chen and Kai Zhao and Dan Zeng, "Adaptive material matching for hyperspectral imagery destriping", IEEE Transactions on Geoscience and Remote Sensing, 2022. [Google Scholar] 
  • Kai Zhao and Xuehui Wang and Xingyu Chen and Ruixin Zhang and Wei Shen, "Rethinking mask heads for partially supervised instance segmentation", Neurocomputing, 2022. (IF=5.5) DOI: 10.1016/j.neucom.2022.10.003  [PDF]  [Google Scholar] 
  • Kai Zhao and Qi Han and Chang-Bin Zhang and Jun Xu and Ming-Ming Cheng, "Deep hough transform for semantic line detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021. (IF=20.8) DOI: 10.1109/TPAMI.2021.3077129  [PDF]  [Google Scholar] 
  • Shang-Hua Gao and Ming-Ming Cheng and Kai Zhao and Xin-Yu Zhang and Ming-Hsuan Yang and Philip Torr, "Res2net: A new multi-scale backbone architecture", IEEE transactions on pattern analysis and machine intelligence, 2019. (IF=20.8) [Google Scholar] 
  • Kai Zhao and Shanghua Gao and Wenguan Wang and Ming-Ming Cheng, "Optimizing the F-measure for threshold-free salient object detection", Proceedings of the IEEE/CVF international conference on computer vision, 2019. [PDF]  [Google Scholar] 
  • Kai Zhao and Jingyi Xu and Ming-Ming Cheng, "Regularface: Deep face recognition via exclusive regularization", Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019. [PDF]  [Google Scholar] 
  • Wei Shen and Yilu Guo and Yan Wang and Kai Zhao and Bo Wang and Alan Yuille, "Deep differentiable random forests for age estimation", IEEE transactions on pattern analysis and machine intelligence, 2019. (IF=20.8) [Google Scholar] 
  • Kai Zhao and Wei Shen and Shanghua Gao and Dandan Li and Ming-Ming Cheng, "Hi-Fi: Hierarchical Feature Integration for Skeleton Detection", Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018. DOI: 10.24963/ijcai.2018/166  [PDF]  [Google Scholar] 
  • Wei Shen and Yilu Guo and Yan Wang and Kai Zhao and Bo Wang and Alan L Yuille, "Deep regression forests for age estimation", Proceedings of the IEEE conference on computer vision and pattern recognition, 2018. [Google Scholar] 
  • Wei Shen and Kai Zhao and Yuan Jiang and Yan Wang and Xiang Bai and Alan Yuille, "Deepskeleton: Learning multi-task scale-associated deep side outputs for object skeleton extraction in natural images", IEEE Transactions on Image Processing, 2017. [Google Scholar] 
  • Wei Shen and Kai Zhao and Yilu Guo and Alan L Yuille, "Label distribution learning forests", Advances in neural information processing systems, 2017. [Google Scholar] 
  • Wei Shen and Kai Zhao and Yuan Jiang and Yan Wang and Zhijiang Zhang and Xiang Bai, "Object skeleton extraction in natural images by fusing scale-associated deep side outputs", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016. [Google Scholar] 

The list is generated from publications.bib. Please visit my Google Scholar for full publication list.

Academic services:

  • Conference reviewer for: CVPR, ICCV, ECCV, ICML, ICLR, NeurIPS, AISTAT, ACCV.
  • Journal reviewer for: IEEE Transactions on Image Processing, Medical Imaging, Pattern Analysis and Machine Intelligence, Multimedia, as well as Pattern Recognition.
  • Guest Editor: MDPI Diagnostics.
School of Athens
The School of Athens.