Dr. Xin Sun
Associate Professor Supervisor/Master Supervisor
Email:xinsun@cityu.edu.mo
Tel:(853)85902294
Office address: Room T213, Tai Fung Building, City University of Macau (Taipa)
Educational experience
2013 Computer Application, Jilin University, China
2010 Computer Application, Jilin University, China
2007 Computer Science and Technology, Jilin University, China
Scientific research experience
Researcher at Technical University of Munich
Postdoctoral fellow at the University of Munich
Incumbent
Professor, Faculty of Data Science, City University of Macau
Courses taught
Data mining
Artificial Intelligence
Research direction
Machine learning, Computer vision, Embodied Intelligence, Robotics, Environmental remote sensing, Smart tourism
Research and publishing
- Fei Zhou, Xin Sun*, Chengze Sun, Junyu Dong and Xiao Xiang Zhu. Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-16, 2023.
- Xin Sun, Yu Zhang, Changrui Chen, Sihang Xie, Junyu Dong. High-order paired-ASPP for deep semantic segmentation networks, Information Sciences, 2023, 119364.
- Fei Zhou, Xin Sun, Junyu Dong, Xiao Xiang Zhu. SurroundNet: towards effective low-light image enhancement, Pattern Recognition 141, 109602, 2023
- Xin Sun, Zenghui Song, Yongbo Yu, Junyu Dong, Claudia Plant, Christian Böhm. Network Embedding via Deep Prediction Model, in IEEE Transactions on Big Data, 2022.
- Xin Sun, Changrui Chen, Xiaorui Wang, Junyu Dong, Huiyu Zhou, Sheng Chen. Gaussian Dynamic Convolution for Efficient Single-Image Segmentation, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 2937- 2948, May 2022.
- Qingxuan Lv, Xin Sun*, Changrui Chen, Junyu Dong, Huiyu Zhou. Parallel Complement Network for Real-Time Semantic Segmentation of Road Scenes, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, pp. 4432-4444, May 2022.
- Haoran Zhao, Xin Sun*, Junyu Dong, Changrui Chen and Zihe Dong, Highlight Every Step: Knowledge Distillation via Collaborative Teaching, in IEEE Transactions on Cybernetics, vol. 52, no. 4, pp. 2070-2081, April 2022.
- Zhenkun Fan, Guosheng Hu, Xin Sun*, Gaige Wang, Junyu Dong, Chi Su. Self-attention neural architecture search for semantic image segmentation, Knowledge-Based Systems, Volume 239, 2022, 107968.
- Qingxuan Lv, Mingzhe Feng, Xin Sun*, Junyu Dong, Changrui Chen, Yu Zhang. Embedded Attention Network for Semantic Segmentation, IEEE Robotics and Automation Letters, vol. 7, no. 1, pp. 326-333, Jan. 2022.
- Haoran Zhao, Xin Sun*, Junyu Dong, Zihe Dong, Qiong Li. Knowledge distillation via instance-level sequence learning, Knowledge-Based Systems, Vol. 233, 2021, 107519.
- Xin Sun, Yongbo Yu, Yao Liang, Junyu Dong, Claudia Plant, Christian Böhm. Fusing attributed and topological global-relations for network embedding, Information Sciences, vo. 558, 2021, 76-90.
- Yu Zhang, Xin Sun*, Junyu Dong, Changrui Chen, Qingxuan Lv. GPNet: Gated pyramid network for semantic segmentation, Pattern Recognition, Vo.115, 2021, 107940.
- Xin Sun, Meng Zhang, Junyu Dong, Redouane Lguensat, Yuting Yang, Xirong Lu. A Deep Framework for Eddy Detection and Tracking from Satellite Sea Surface Height Data, IEEE Transactions on Geoscience and Remote Sensing, 59(9): 7224-7234, Sept. 2021.
- Xin Sun, Hongwei Xv, Junyu Dong, Huiyu Zhou, Qiong Li, Changrui Chen. Few-shot Learning for Domain-specfic Fine-grained Image Classification, IEEE Transactions on Industrial Electronics, 68(4): 3588-3598, April 2021, doi: 10.1109/TIE.2020.2977553.
- Xin Sun, Changrui Chen, Junyu Dong, Dan Liu and Guosheng Hu. Exploring Ubiquitous Relations for Boosting Classification and Localization. Knowledge-Based Systems, Vol.196, 105824, 2020.
- Xin Sun, Changgang Wang, Junyu Dong, Estanislau Lima, Yuting Yang, A Multiscale Deep Framework for Ocean Fronts Detection and Fine-Grained Location, IEEE Geoscience and Remote Sensing Letters, 16, 2 (2019), 178-182.
Academic Awards
1. Runner-up of the Object Detection Challenge in Vision Meets Drones of ICCV 2019