PROFILE
Xiaochuan Tang is an Associate Professor at College of Computer Science, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (SKLGP), Chengdu University of Technology, China (CDUT). He is an Visiting Professor at University of Padova, Italy. He received his Ph.D. degree from University of Electronic Science and Technology of China (UESTC), and M.S. degree from Northeastern University. His research interest is Trustworthy Artificial Intelligence, including Explainable Deep Neural Networks, Computer Vision for Remote Sensing, Federated Learning, and AI-based Geohazard Prevention and Protection. He has served as the principal investigator (PI) for nearly 10 research projects. He has published over 20 papers and received 10 patents. He provides review service for over 10 magazines.
- Email: tangchuan@uestc.edu.cn
- LinkedIn: Xiaochuan Tang
RECENT NEWS
- [2024.05] A new paper was submitted to IEEE Transactions on Geoscience and Remote Sensing! (中科院一区SCI)
- [2024.04] A new patent were submitted!
- [2024.04] A new paper was submitted to Applied Soft Computing! (中科院一区SCI)
- [2024.03] A new paper was submitted to EGU 2024
- [2024.02] A new paper was submitted to IEEE Geoscience and Remote Sensing Letters!
- [2024.01] A new paper was submitted to Expert Systems with Applications! (中科院一区SCI)
- [2023.03] A new paper was submitted to Geomatics and Information Science of Wuhan University!
- [2023.02] A new paper was submitted to Information Fusion! (中科院一区SCI)
- [2022.12] A new project funding was obtained!
- [2022.11] A new project funding was obtained!
- [2022.11] Two new patents were submitted!
- [2022.07] A new paper was submitted, which was accomplished by an undergraduate student!
- [2022.06] A new paper was accepted by Remote Sensing!
RESEARCH INTERESTS
- Computer Vision for Remote Sensing
- Explainable Neural Networks
- Federated Learning and Privacy Protection
- Remote Sensing and Geographic Information Systems
SELECTED PUBLICATIONS
- Wang, Fang, Tang, et al. Research on emergency evaluation of landslides induced by Luding Ms 6.8 earthquake[J]. 武汉大学学报 (信息科学版), 2022. (中科院T1期刊)
- Tang et al. Automatic detection of coseismic landslides using a new transformer method. Remote Sensing, 2022, 14(12): 2884. (中科院二区SCI)
- Chen, Dai, Tang, et al. Removing InSAR topography-dependent atmospheric effect based on deep learning. Remote Sensing, 2022, 14(17): 4171. (中科院二区SCI)
- Tang et al. MILL: Channel attention based deep multiple instance learning for landslide recognition. ACM Transactions on Multimedia Computing， Communications and Applications, 2021, 17(2s): 76. (CCF-B类期刊)
- Tang et al. Feature selection based on feature interactions with application to text categorization. Expert Systems with Applications, 2019, 120: 207-216. (中科院一区SCI)
- Tang et al. Interaction-based feature selection using Factorial Design. Neurocomputing, 2018, 281: 47-54. (中科院二区SCI)
- Tang et al. An interaction-enhanced feature selection algorithm. Proceedings of Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Melbourne, Australia, 2018. (CCF推荐会议)
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PROJECTS
- National Key Research and Development Program of China
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- ……
RECRUITING GRADUATE STUDENTS
Welcome to Artificial Intelligence and Machine Learning lab (AIML). We are searching for highly-motivated graduate students, providing:
- systematic academic training
- publish high-level papers
- join high-level projects
- advanced research equipments
- competitive salary
Please don’t hesitate to contact us! (tangchuan@uestc.edu.cn)