Group head
|
Xinming Wu (伍新明) More about Xinming SEG China interview Email: xinmwu@ustc.tsg211.com Chinese homepage (中文主页) School of Earth and Space Sciences University of Science and Technology of China |
Researcher
|
Xiaoming Sun (孙晓明) More about Xiaoming Associate research fellow 图书馆VIP先进技术研究院 |
Postdocs
李凯(中石化), 在职 | ||||
---|---|---|---|---|
PhD students
2021-present More about zhang |
2021-present More about yang |
2020-present More about Gao |
2020-present More about Sheng |
2020-present More about Li |
---|---|---|---|---|
2021-present More about Gao |
2021-present More about Dai |
2023-present More about Ali |
2022-present More about Wang |
2022-present More about Guo |
Co-advise More about Wang |
Master students
2022-present More about Xie |
2022-present More about Liu |
2023-present More about Han |
2023-present More about Tian |
2023-present More about Yang |
---|---|---|---|---|
Software Engineering, 中科大先研院
2022-present More about Tu |
2023-present More about Chen |
---|
Visiting Scholars
|
Chengyun received a Ph.D. degrees of Information and Communication Engineering with Prof. Guangmin Hu at University of Electronic Science and Technology of China in 2017. His current research mainly focuses on the artificial intelligence techniques in geophysics, especially on seismic facies analysis, self-supervised denoising and clustering analysis. He has presided over a project funded by the National Natural Science Foundation of China, and published some papers in Computer & Geoscience, IEEE GRSL, and Geophysics Prospecting. |
|
Qing received a bachelor degree of Computer Science currently is a master student with Prof. Jianping Liao at Hunan University of Science and Technology. He has been visiting CIG since July 2023. He has published two papers on seismic forward modeling and denoising and his current research interests focus on deep learning for geophysical forward and inverse problems. |
|
Zhanxuan’s research interests include machine learning and computer vision, especially in problems involving low rank matrix learning and representation learning. He has been collaborated with us since Feb., 2020. He remotely attends our weekly group seminars and helps advise our students who are interested in deep learning. His cross-discipline collaboration with us is successful, he has co-authored two important papers (on geophysics problems) published in IEEE TGRS, and Interpretation. |