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.
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
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.