Yuting Hong

Yuting is an Intell. Sci. & Tech. Ph.D. Candidate at South China University of Technology, advised by Dr. Xiaowei Hu. Prior to that, he obtained Master's degree at Ningbo University advised by Dr. Chengbin Peng, and Bachelor's degree at Shaoxing University.

He previously worked as a Machine Learning Engineer at Om AI Lab, advised by Dr. Ruochen Xu and mainly developed algorithms for embodied navigation on robots and UAVs.

His research focuses on 3D reconstruction and generation, with a particular emphasis on creating simulation-ready 3D scenes for embodied AI.

Previously, his research centered on computer vision in data-scarce scenarios, including semi-supervised learning, domain adaptation, and long-tailed learning.

Selected Publications

Exploiting Minority Pseudo-Labels for Semi-Supervised Fine-Grained Road Scene Understanding
Yuting Hong, Yongkang Wu, Hui Xiao, Huazheng Hao, Xiaojie Qiu, Baochen Yao, and Chengbin Peng
IEEE Transactions on Intelligent Transportation Systems (2026)

Code / PDF CCF-B JCR Q1 IF 9.1

A Multi-View Consistency Framework with Semi-Supervised Domain Adaptation
Yuting Hong, Li Dong, Xiaojie Qiu, Hui Xiao, Baochen Yao, Siming Zheng, and Chengbin Peng
Engineering Applications of Artificial Intelligence (2024)

Code / PDF CCF-C JCR Q1 IF 9.0

Multi-Level Label Correction by Distilling Proximate Patterns for Semi-Supervised Semantic Segmentation
Hui Xiao, Yuting Hong, Li Dong, Diqun Yan, Junjie Xiong, Jiayan Zhuang, Dongtai Liang, and Chengbin Peng
IEEE Transactions on Multimedia (2024)

Code / PDF CCF-A JCR Q1 IF 9.9

C2F2: Cross-Task Cross-Domain Feature Fusion for Semi-Supervised Change Detection
Dongjie Zhang, Yuting Hong, Xiaojie Qiu, Li Dong, Diqun Yan, and Chengbin Peng
IEEE Geoscience and Remote Sensing Letters (2024)

Code / PDF CCF-C JCR Q2 IF 4.8

Stolen from Jon Barron. Big thanks!