2025.06 ~ : 兰州理工大学, 计算机与通信学院,副教授(校聘)
2021.09 ~ 2025.06: 兰州大学, 信息科学与工程学院,博士
2020.7 ~ 2021.7: 中国电子科技集团第30所
2017.09 ~ 2020.07: 兰州理工大学, 计算机与通信学院, 硕士
2013.09 ~ 2017.07: 兰州理工大学, 计算机与通信学院, 学士
MIP-CLIP: Multimodal Independent Prompt CLIP for Action Recognition
Xiong Gao, Zhaobin Chang, Dongyi Kong, Huiyu Zhou, and Yonggang Lu
IEEE Transactions on Multimedia (TMM), 2025.
[CCF B类期刊, SCI 1区, IF=8.4]
DRNet: Disentanglement and Recombination Network for Few-Shot Semantic Segmentation
Zhaobin Chang, Xiong Gao, Na Li, Huiyu Zhou, and Yonggang Lu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
[CCF B类期刊, SCI 1区, IF=8.3]
Multi-prototype collaborative perception enhancement network for few-shot semantic segmentation
Zhaobin Chang, Xiong Gao, Dongyi Kong, Na Li, and Yonggang Lu
The Visual Computer, 2024.
[SCI 3区, IF=3.0]
CANet: Comprehensive Attention Network for video-based action recognition
Xiong Gao, Zhaobin Chang, Xingcheng Ran, and Yonggang Lu
Knowledge-Based Systems, 2024.
[CCF C类期刊,SCI 1区, IF=7.2]
Prediction of Protein-Peptide Binding Residues via Pre-Trained Protein Language Model and Progressive Contrastive Representation Learning
Jianwei Li, Yonggang Lu, Xiangwen Wang, and Zhaobin Chang
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024.
[CCF B类会议]
High frequency domain enhancement and channel attention module for multi-view stereo
Yongjuan Yang, Jie Cao, Hong Zhao, Zhaobin Chang, and Weijie Wang
Computers & Electrical Engineering, 2024.
[SCI 3区, IF=4.0]
Diff-KT: Text-Driven Image Editing by Knowledge Enhancement and Mask Transformer
Hong Zhao, Wengai Li, Zhaobin Chang, and Ce Yang
IEEE Access, 2024.
[SCI 3区, IF=3.4]
Self-Consistent Semantic Feature Extraction of Image Object Based on Contrastive Learning
Shanyuan Liu, Zhaobin Chang, and Yonggang Lu
2024 7th International Conference on Algorithms, Computing and Artificial Intelligence(ACAI), 2024.
[EI 会议]
PSA-HWT: Handwritten Font Generation Based on Pyramid Squeeze Attention
Hong Zhao, Jinhai Huang, Wengai Li, Zhaobin Chang, and Weijie Wang
PeerJ Computer Science, 2024.
[SCI 4区, IF=3.5]
Simple yet effective joint guidance learning for few-shot semantic segmentation
Zhaobin Chang, Yonggang Lu, Xiong Gao, Xingcheng Ran, and Hong Zhao
Applied Intelligence, 2023.
[SCI 2区期刊, IF=3.4]
Few-Shot Semantic Segmentation: A Review on Recent Approaches
Zhaobin Chang, Yonggang Lu, Xingcheng Ran, Xiong Gao, and Xiangwen Wang
Neural Computing and Applications, 2023.
[SCI 3区期刊, IF=4.5]
Fine-gained Motion Enhancement for action recognition: Focusing on action-related regions
Xiong Gao, Zhaobin Chang, Yande Li, Xingcheng Ran, Wei Ke, and Yonggang Lu
Displays, 2023.
[SCI 2区期刊, IF=3.7]
MGNet: Mutual-guidance network for few-shot semantic segmentation
Zhaobin Chang, Yonggang Lu, Xiangwen Wang, and Xingcheng Ran
Engineering Applications of Artificial Intelligence (EAAI), 2022.
[CCF C类期刊, SCI 2区, IF=7.5]
入选2024年度 (首批) "中国科协青年人才托举工程"博士生专项计划 [托举学会为: 中国计算机学会] (2025.01)
硕士研究生国家奖学金 (2019.12)
兰州理工大学优秀学位论文(证书编号:YS2020007) (2020.07.15)
甘肃省优秀硕士学位论文(证书编号:YS2020052) (2021.03.18)
《电讯技术》十佳联络员 (2023-2024年度)
一种基于特征分离与重组的小样本图像语义分割方法
发明人:常兆斌
国家发明专利, 已授权,202310858480.4
基于小样本的深度学习图像语义分割研究 (No. 23JRRA1133), 2023.07-2024.06
主持; 经费:4.00万元
项目来源:甘肃省自然科学基金项目(优博项目)
中国科协青年人才托举工程博士生专项计划学术经费, 2025.01-2026.12
主持; 经费:4.00万元
项目来源:中国科协
大模型背景下特征解纠缠和特征对齐在基于小样本的计算机视觉任务中的研究与示范 (No. 24JRRA388), 2024.08-2027.07
课题骨干; 经费:60.00万元
项目来源:甘肃省基础研究创新群体项目
人工智能技术及其在智慧交通中的应用研究 (No. GSHZTS2022-2), 2022.12-2024.11
课题骨干; 经费:25.00万元
项目来源:甘肃海智计划特色示范项目
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Multimedia
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neurocomputing
Applied Intelligence
IEEE Transactions on Image Processing
The Journal of Supercomputing
Scientific Reports
Journal of Computer Networks and Communications
Neural Computing and Applications
Engineering Applications of Artificial Intelligence