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 theory and application, including Explainable Deep Neural Networks, Computer Vision for Remote Sensing, Federated Learning, and AI-based Geohazard Assessment. 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 journals.

CONTACT

Email: tangchuan@uestc.edu.cn
LinkedIn: Xiaochuan Tang

RESEARCH INTERESTS

Computer Vision for Remote Sensing
Explainable Neural Networks
Federated Learning and Privacy Protection
Remote Sensing and Geographic Information Systems

SELECTED PUBLICATIONS

Tang X, Yan X, Yuan X, et al. FedLD: Federated Learning for Privacy-Preserving Collaborative Landslide Detection[J]. IEEE Geoscience and Remote Sensing Letters, 2024.
Tang X, Lan T, Zhong H, et al. An evolutionary game model for indirect data sharing in manufacturing big data consortium[J]. Expert Systems with Applications, 2024, 255: 124807. (中科院一区SCI，TOP期刊)
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. (中科协高质量期刊)
Tang X, Tu Z, Wang Y, et al. Automatic detection of coseismic landslides using a new transformer method[J]. Remote Sensing, 2022, 14(12): 2884. (中科院二区SCI，TOP期刊)
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，TOP期刊)
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
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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 feel free to contact us! (tangchuan@uestc.edu.cn)