Email: kakuang@ucsd.edu

Biography

I am a second-year master student majoring in computer science at University of California, San Diego. I am very fortunate to work with Professor Xiaolong Wang at the Electrical and Computer Engineering Department. My research interests lies in 3D computer vision and robot learning.

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).

Selected Publications

• CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation

  Conference on Computer Vision and Pattern Recognition (CVPR), 2024

  Jun Wang*, Yuzhe Qin*, Kaiming Kuang, Yigit Korkmaz, Akhilan Gurumoorthy, Hao Su, Xiaolong Wang

  Homepage, Paper

• OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding

  Conference on Neural Information Processing Systems (NeurIPS), 2023

  Minghua Liu*, Ruoxi Shi*, Kaiming Kuang*, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su

  Homepage, Paper

• What Makes for Automatic Reconstruction of Pulmonary Segments

  Kaiming Kuang*, Li Zhang*, Jingyu Li, Hongwei Li, Jiajun Chen, Bo Du, Jiancheng Yang

  International Conference on Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2022

  Paper

• 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

  Paper

• 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

  Homepage, Paper, GitHub

• MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response

  Jiancheng Yang*, Jiajun Chen*, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni

  International Conference on Medical Image Computing and Computer Assisted Intervention Society (MICCAI), 2020

  Paper, GitHub

*: Equal contributions.