Personal Information:
More >>Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Honors and Titles:
2022 elected:China Association for the Promotion of Industry-University-Research Cooperation, Innovation Award for Industry-University-Research Cooperation (Individual)
2018 elected:The third prize of Technology Invention Award of Chinese Association for Artificial Intelligence
2010 elected:Third prize of Fujian Patent Award
2009 elected:Fuzhou Patent gold Medal
Personal Profile
Anlong Ming(明安龙)
Professor, Doctoral Supervisor, Ph.D, Dept. of Computer Science, BUPT
Official Chinese Homepage: https://teacher.bupt.edu.cn/mal/
E-mail: mal@bupt.edu.cn
Mailing Address: 806#, Bldg. Scientific Research, Beijing University of Posts and telecommunications, 10 Xitucheng Rd, Haidian District, Beijing, 100876, China
Brief Biography:
Degrees
- Ph.D., Beijing University of Posts and Telecommunications, at Beijing, China
- M.S., Beijing University of Posts and Telecommunications, at Beijing, China
- B.S., Wuhan University, at Wuhan, China
Appointments
- 2016 Professor, Beijing Univ. of Posts & Telecomm., Dept. of Computer Science
- 2012 Associate Professor, Beijing Univ. of Posts & Telecomm., Institute of Sensing Technology and Business
- 2011 Post-doc, University of California at Los Angeles, Dept. of Statistics
- 2011 Associate Professor, Beijing Univ. of Posts & Telecomm., Dept. of Computer Science
- 2008 Assistant Professor, Beijing Univ. of Posts & Telecomm., Dept. of Computer Science
Research Interests:Computational Aesthetics, Computational Photography, Embodied AI.
Research Lab:vRobotIT: Laboratory of Visual Robot & Intelligent Technologies
Selected publications in three years (More Publications):
[1] Limin Liu, Shuai He, Anlong Ming*, Rui Xie, Huadong Ma, ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models, in Proceedings of the 41th international Conference on Machine Learning (ICML), 2024. (CCF-A)
[2] Haiyang Zhang, Mengchao Wang, Shuai He, Anlong Ming*, AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models, in Proceedings of the 33st International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF-A)
[3] Dongxiang Jiang, Yongchang Zhang, Shuai He, Anlong Ming*, M2Beats: When Motion Meets Beats in Short-form Videos, in Proceedings of the 33st International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF-A)
[4] Shai He, Anlong Ming*, Yaqi Li, Jinyuan Sun, ShunTian Zheng, Huadong Ma, Delegate Transformer for Image Color Aesthetics Assessment, in Proceedings of International Conference on Computer Vision (ICCV), 2023.
[5] Wenteng Liang, Feng Xue, Yihao Liu, Guofeng Zhong, Anlong Ming*, Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[6] Chunxiao Li, Xuejing Kang, Zhifeng Zhang, Anlong Ming*, SWBNet: A Stable White Balance Network for sRGB images, in Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023.
[7] Shai He, Anlong Ming*, Shuntian Zheng, Haobin Zhong, Huadong Ma, EAT: An Enhancer for Aesthetics-Oriented Transformers, in Proceedings of the 31th ACM International Conference on Multimedia (MM), 2023.
[8] Chunxiao Li, Xuejing Kang, Anlong Ming*, WBFlow: Few-shot White Balance for sRGB Images via Reversible Neural Flows, in Proceedings of the 32st International Joint Conference on Artificial Intelligence (IJCAI), 2023.
[9] Shuai He, Yongchang Zhang, Dongxiang Jiang, Rui Xie, Anlong Ming*, Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks, in Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI), 2022.
[10] Yuxiang Tang, Xuejing Kang, Chunxiao Li, Zhaowen Lin, Anlong Ming*, Transfer Learning for Color Constancy via Statistic Perspective, in Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022. (CCF-A)
Educational Experience
Work Experience
Research Group
The laboratory promotes open collaboration with enterprises to foster innovation, with computational aesthetics as its core focus. It emphasizes common technologies such as image color processing, image aesthetic assessment, image aesthetic photography, and embodied AI in photography. Additionally, it specializes in application technologies for vertical scenes. Currently, there is one faculty member and approximately 45 undergraduate/graduate/doctoral students in the laboratory. The laboratory plans to admit 10-12 master's students and 1-2 doctoral students each year (including jointly-trained students).
We welcome individuals who share our vision to join our laboratory and collaborate on advancing the aforementioned common technologies or exploring exciting applications!