Email: kakuang@ucsd.edu
I am looking for summer internship in 2023! Email me if you are interested.
I am a first-year master student majoring in computer science at University of California, San Diego. I am also a research intern of Professor Xiaolong Wang’s lab at the Electrical and Computer Engineering Department. My research interests are computer vision, reinforcement learning and robotics.
Prior to enrolling in UCSD, I worked as a computer vision engineer at Dianei Technologies for 3 years, where I focused in R&D of medical AI. I also spent half a year in 2019 at Hang Seng Bank China working as management trainee at the global market department.
I earned my Master of Finance degree at University of California, San Diego, where I was sponsored by a fully-funded fellowship provided by China Scholarship Council. I went to Renmin University of China in Beijing and got dual bachelors in business management and law.
I grew up in the beautiful city of Liuzhou, which is famous for its automobile industry (五菱神车) and controversially popular cuisine (螺蛳粉).
What Makes for Automatic Reconstruction of Pulmonary Segments
Kaiming Kuang*, Li Zhang*, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang
Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2022
ViSTA: A Novel Network Improving Lung Adenocarcinoma Invasiveness Prediction from Follow-up CT Series
Wei Zhao*, Yingli Sun*, Kaiming Kuang, Jiancheng Yang, Ge Li, Bingbing Ni, Yingjia Jiang, Bo Jiang, Jun Liu, Ming Li
Cancers, 2022
Deep-learning-assisted Detection and Segmentation of Rib Fractures from CT Scans: Development and Validation of FracNet
Liang Jin*, Jiancheng Yang*, Kaiming Kuang, Bingbing Ni, Yiyi Gao, Yingli Sun, Pan Gao, Weiling Ma, Mingyu Tan, Hui Kang, Jiajun Chen, Ming Li
EBioMedicine, Nov. 2020
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response
Jiancheng Yang*, Jiajun Chen*, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni
Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2020
*: Equal contributions.