Papers
2025
Hao Chen, Han Tao, Guo Song, Jie Zhang, Yunlong Yu, Yonghan Dong, Chuang Yang, and Lei Bai. "VA-MoE: Variable-Adaptive MoE for Incremental Weather Forecasting." IEEE International Conference on Computer Vision (ICCV), 2025. (CCF A, Core A*) [pdf][code]
2024
Hao Chen, Yunlong Yu, Yonghan Dong, Zheming Lu, Yingming Li, and Zhongfei Zhang. "Multi-Context Interaction Network for Few-Shot Segmentation." ACM Transactions on Multimedia Computing, Communications, and Applications, 2024. (JCR Q1, IF=6.0) [pdf][code]
Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, Yingming Li, and Jungong Han. "Dense Affinity Matching for Few-Shot Segmentation." Neurocomputing, 2023. (JCR Q1, IF=6.5, 中科院二区) [pdf][code]
2023
Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, and Jungong Han. “Self-Prompting Perceptual Edge Learning for Dense Prediction.” IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2023.3340740. (JCR Q1, IF=11.1, 中科院一区) [pdf][code]
Hao Chen, Yonghan Dong, Zheming Lu, Yunlong Yu, and Jungong Han. “Pixel Matching Network for Cross-Domain Few-Shot Segmentation.” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 978-987. (Core A) [pdf][code]
Hao Chen, Zheming Lu and Yangming Zheng. "Multi-similarity Enhancement Network for Few-Shot Segmentation," in IEEE Access, doi: 10.1109/ACCESS.2023.3295893. (JCR Q2, IF=3.9) [pdf]
Hao Chen, Zhe-Ming Lu, and Jie Liu. “A Monkey Swing Counting Algorithm Based on Object Detection,” in IEICE Trans. Information and Systems, 2023. (JCR Q4, IF=0.7) [pdf]
Hao Chen and Zhe-ming Lu. "Dynamic smoke detection by eliminating static targets in video." International Journal of Innovative Computing, Information and Control , vol. 19, 2023, doi: 10.24507/ijicic.19.02.355. (ESCI) [pdf]
2022
Hao Chen and Zhe-ming Lu. “Contraband detection based on deep learning.” J. Inf. Hiding Multim. Signal Process. 13 (2022): 165-177. (EI) [pdf]