Biography

I am an algorithm engineer in Xiaomi EV, specialized in lidar perception. I earned my MSc in Computer Science at University of California, San Diego, where I had the opportunity to work with Professor Xiaolong Wang from the Electrical and Computer Engineering Department.

Prior to that, 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 and controversially popular cuisine named 螺蛳粉.

Experiences

• Perception algorithm engineer, Xiaomi EV

6/2024 - Present

• Computer vision engineer, Diannei Technologies

9/2019 - 9/2022

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.