Ye Huang (黄野)
I am the Associate Researcher (a.k.a Associate Professor) at the University of Electronic Science and Technology of China. Before that, I conducted my postdoctoral research at University of Electronic Science and Technology of China.
My research interests include AGI representation learning and AI4Science. My prior research in representation learning through semantic segmentation has consistently attained the highest accuracy on popular benchmark datasets.
I received Ph.D. from the University of Technology Sydney (World 11th of computer science in ARWU 2021). Before that, I received my bachelor's degree with first-class honors from the University of Technology Sydney. I was a research intern at Tencent AI Lab.
For potential collaborators, feel free to contact me via edward.ye.huang@qq.com.
Selected publications
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation
Linlong Fan, Ye Huang*, Yanqi Ge, Wen Li, Lixin Duan.
(*Corresponding author)
In Proceedings of the European Conference on Computer Vision (ECCV), 2024
High-level Feature Guided Decoding for Semantic Segmentation
Ye Huang, Di Kang, Shenghua Gao, Wen Li, Lixin Duan.
In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Ye Huang, Di Kang, Liang Chen, Wenjing Jia, Xiangjian He, Lixin Duan, Xuefei Zhe, Linchao Bao.
In IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024
CAR: Class-aware Regularizations for Semantic Segmentation
Ye Huang, Di Kang, Liang Chen, Xuefei Zhe, Wenjing Jia, Linchao Bao, Xiangjian He.
In Proceedings of the European Conference on Computer Vision (ECCV), 2022
Channelized Axial Attention -- Considering Channel Relation within Spatial Attention for Semantic Segmentation
Ye Huang, Di Kang, Wenjing Jia, Xiangjian He, Liu Liu.
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
See More Than Once--Kernel-Sharing Atrous Convolution for Semantic Segmentation
Ye Huang, Qingqing Wang, Wenjing Jia, Xiangjian He.
In NeuroComputing, 2021
FACLSTM: ConvLSTM with focused attention for scene text recognition
Qingqing Wang, Ye Huang, Wenjing Jia, Xiangjian He, Michael Blumenstein, Shujing Lyu, Yue Lu.
In Science China-Information Sciences, 2020
Activities
Reviewer for CVPR, ECCV, AAAI, T-IP, T-NNLS and T-CSVT.