✨ About Me

I am currently a Ph.D student at the School of Artificial Intelligence, Beijing Normal University (BNU), under the supervision of Professor Hua Huang (黄华) and Professor Wenbin Jiang (姜文斌). I am also a member of the Intelligent Media Computing Laboratory.

Prior to this, I obtained my master’s and bachelor’s degrees from the College of Data Science, Taiyuan University of Technology, under the supervision of Professor Ming Li (李明) and Daoxiang Zhou (周稻祥).

My current research interests are mainly in large language models (LLMs) and their applications. I am also very interested in computer vision and deep learning, especially face anti-spoofing and medical image processing .

I’m very glad to communicate and cooperate with like-minded people, please feel free to email me at maxuetao@mail.bnu.edu.cn

🔥 News

2025.05: 🎉 One paper was accepted by ACL!
2025.03: 🎉 One paper was accepted by ESWA. Congrats to Hangbei!
2025.02: I join TAL and started an LLMs internship!
2024.09: 🎉 One paper was accepted by ASOC. Congrats to Jun Zhang!
2024.08: 🎉 One paper was accepted by EAAI. Congrats to Yunfei!
2023.06：🔥 I am honored to speak as the graduate student representative at the graduation ceremony!
2023.05: 🎉 I have been admitted to the School of Artificial Intelligence at Beijing Normal University, and will begin my Ph.D studies under the supervision of Professor Hua Huang in September 2023.

📝 Publications

ACL 2025

Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning
Xuetao Ma, Wenbin Jiang, Hua Huang.
Annual Meeting of the Association for Computational Linguistics (ACL), 2025.

We propose a problem-solving logic guided curriculum in-context learning strategy that selects and orders examples by analyzing the problem-solving logic, effectively enhancing the reasoning performance and efficiency of LLMs.

Hangbei Cheng, Xueyu Liu, Jun Zhang, Xiaorong Dong, Xuetao Ma, et. GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images, Expert Systems with Applications, 2025. SCI 1区 Top CCF-C
Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, et. Efficient Face Anti-Spoofing via Head-aware Transformer based Knowledge Distillation with 5MB model parameters, Applied Soft Computing, 2024. SCI 1区 Top
Yunfei Zhang, Jun Zhang, Tonglu Li, Feixue Shao, Xuetao Ma, Yongfei Wu, Shu Feng, Daoxiang Zhou. ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation, Engineering Applications of Artificial Intelligence, 2024. SCI 1区 Top CCF-C
Jiazi Ouyang, Xuetao Ma, Yongfei Wu, et. Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models, Biomedical Signal Processing and Control, 2023 SCI 2区
Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Daoxiang Zhou. KDFAS: Multi-Stage Knowledge Distillation Vision Transformer for Face Anti-Spoofing, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. CCF-C
Xuetao Ma, Jun Zhang, Yunfei Zhang, Daoxiang Zhou. Exploring masked image modeling for face anti-spoofing, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022. CCF-C

🎖 Honors and Awards

2023.06 Second-class academic scholarship by the College of Data Science, Taiyuan University of Technology.
2022.06 First-class academic scholarship by the College of Data Science, Taiyuan University of Technology.
2022.05 National invention patent 一种小鼠胚胎器官识别与评分方法与系统, CN113378831B.
2018.06 Science and Technology Scholarship by the College of Data Science, Taiyuan University of Technology.

📖 Educations

2023.09 - now, Ph.D, School of Artificial Intelligence, Beijing Normal University (BNU).
2020.09 - 2023.06, Master, College of Data Science, Taiyuan University of Technology (TYUT).
2015.09 - 2019.06, Undergraduate, College of Data Science, Taiyuan University of Technology (TYUT).

💻 Internships