Xiabi LIU
Professor of computer science at BIT
Adjunct Professor of AI at SMBU
劉峽壁
北京理工大學計算機學院教授，博士生導師
深圳北理莫斯科大學兼職教授
Professor Xiabi LIU received the Bachelor's degree in computer application from the Huazhong University of Science and Technology, Hubei, China, in 1998, and the PhD degree in computer science from the Beijing Institute of Technology in 2005. From 2005 to 2008, he was a Lecturer at the School of Computer Science, Beijing Institute of Technology. From 2008 to 2021, he was an Associate Professor at the School of Computer Science, Beijing Institute of Technology. Since 2021, he has been a Professor at the School of Computer Science, Beijing Institute of Technology. He founds and leads the Machine Learning and Multimedia Retrieval lab, Beijing Institute of Technology. He was the Principal Investigator of several research grants from the National Natural Science Foundation of China and the Ministry of Education in China. He is the author or coauthor of three books and more than 70 papers. He holds more than 10 patents. His research interests include machine learning, pattern recognition, computer vision, and medical image processing.
劉峽壁，教育部新世紀優秀人才，智能信息技術北京市重點實驗室副主任，北京勵耘大數據與人工智能研究院院長，中國醫學裝備協會理事，中國人工智能學會中小學工作委員會委員，北京科技教育促進會理事。長期從事人工智能的教學與研究，主要科學研究興趣包括機器學習、計算機視覺、模式識別、醫學人工智能、智慧教育。已出版人工智能教材2部、專著1部，發表高水平學術論文70余篇，主持國家及省部級科研項目10余項、教改項目3項，獲得國家發明專利10余項，獲得兵器科學技術二等獎、兵工高校優秀教材二等獎等獎勵。
Selected papers：
1. Hai Z, Pan L, Liu X, et al. L2T-DLN: learning to teach with dynamic loss network. Advances in Neural Information Processing Systems, 2024, 36.
2. Han M, Pan L, Liu X. MA-Net: Rethinking Neural Unit in the Light of Astrocytes. Proceedings of the AAAI Conference on Artificial Intelligence. 2024, 38(3): 2040-2048.
3. Han M, Pan L, Liu X. Astronet: When astrocyte meets artificial neural network. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023: 20258-20268.
4. Liu W, Liu X, Luo X, et al. A pyramid input augmented multi-scale CNN for GGO detection in 3D lung CT images. Pattern Recognition, 2023, 136: 109261.
5. Liu W, Liu X, Li H, et al. Integrating lung parenchyma segmentation and nodule detection with deep multi-task learning. IEEE Journal of Biomedical and Health Informatics, 2021, 25(8): 3073-3081.
6. 劉峽壁，馬霄虹，高一軒. 人工智能：機器學習與神經網絡. 北京：北京理工大學出版社, 2023.1.
