Guyue HU
Assistant Professor
School of Artificial Intelligence,
Anhui University (AHU)
Email: guyue.hu[AT]ahu.edu.cn
About
I am an Assistant Professor at the School of Artificial Intelligence, Anhui University (AHU). Prior to this position, I was a Research Fellow at MReaL lab, Nanyang Technological University (NTU), working closely with Prof. Hanwang Zhang. Before that, I was also a Research Fellow at CVML group, National University of Singapore (NUS), working closely with Prof. Angela Yao. I received my PhD degree from the Institute of Automation, Chinese Academy of Sciences (CASIA), advised by Prof. Shan Yu. I was awarded with the "XX Program of Anhui Province (Provincial Youth Talents Program)".
My research interests lie in computer vision, multimedia understanding, embodied intelligence, and AI4Sciences. In particular, I am focusing on vision & language, referring understanding, drone-embodied intelligence, human-centric activity analysis, and medical image processing.
News
-
Mar 2025, one paper is accepted to IEEE Transactions on Information Forensics and Security
-
Feb. 2025, one paper is accepted to IEEE Transactions on Medical Imaging (TMI)
-
Feb. 2025, one paper is accepted to IEEE Transactions on Multimedia (TMM)
-
Mar 2024, one paper is accepted to IEEE Signal Processing Letters (SPL)
-
Feb. 2023, one invited paper is accepted to Machine Intelligence Research (MIR)
Publications
*Equal contribution, †Corresponding author
Federated Client-tailored Adapter for Medical Image Segmentation
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Dynamic Strip Convolution and Adaptive Morphology Perception Plugin for Medical Anatomy Segmentation
IEEE Transactions on Medical Imaging (TMI), 2025
Contrastive Semantic-Aware Masked Autoencoder for Point Cloud Self-Supervised Learning
IEEE Signal Processing Letters (SPL), 2025
Video Compressed Sensing via Wavelet Residual Sampling and Dual-Domain Fusion
IEEE Transactions on Multimedia (TMM), 2025
Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification
IEEE Signal Processing Letters (SPL), 2024
Cross-Generational Contrastive Continual Learning for 3D Point Cloud Semantic Segmentation
International Conference on Brain Inspired Cognitive Systems (BICS), 2024
Compositional Prompting Video-language Models to Understand Procedure in Instructional Videos
Machine Intelligence Research, 2023. (invited paper)
Information-density Masking Strategy for Mask Image Modelling
IEEE International Conference on Multimedia and Expo (ICME), 2023
RT-Net: Replay-and-Transfer Network for Class Incremental Object Detection
Applied Intelligence, 2022
MonkeyTrail: A Scalable Video-based Method for Tracking Macaque Movement Trajectory in Daily Living Cage
Zoological Research, 2022
Contrastive Learning via Local Activity
Electronics, 2022.
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning
AAAI Conference on Artificial Intelligence (AAAI), 2021
Joint Learning in the Spatio-temporal and Frequency Domains for Skeleton-Based Action Recognition
IEEE Transactions on Multimedia (TMM), 2020
Multi-scale Expressions of One Optimal State Regulated by Dopamine in the Prefrontal Cortex
Frontiers in Physiology, 2019
Experiences
- 2016 - 2021, PhD, Institute of Automation, Chinese Academy of Sciences (CASIA)
- 2016 - 2021, PhD, School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)
- 2012 - 2016, B.E., School of Electrical Engineering & Automation, Hefei University of Technology (HFUT)
Service
- Committee Member of "Technical Committee on Human-Computer Interaction of CSIG"
- Journal Reviewer for T-PAMI, T-IP, T-MM, T-CSVT, PRL, etc.
- Conference Reviewer for CVPR, ICCV, ECCV, AAAI, ICME, IJCNN, PRCV, etc.
- Member of IEEE, CVF, CSIG, etc.
Teaching
- Deep Learning Algorithms and Applications (postgraduate), Since 2024 Fall
- Neural Network and Deep Learning (undergraduate), Since 2024 Spring
- Machine Learning (undergraduate), Since 2023 Fall