✨ About Me

I am currently a Ph.D student at the School of Artificial Intelligence, Beijing Normal University (BNU), under the supervision of Prof. Hua Huang (黄华). 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 Assoc.Prof. 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

📝 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.

• SMART: Evaluating LLMs’ Mathematical Reasoning via a Human Cognitive Process-Inspired Benchmark
  Yujie Hou, Mei Wang, Yaoyao Zhong, Ting Zhang, Xuetao Ma, Hua Huang.
  Annual Meeting of the Association for Computational Linguistics (ACL), Main Conference, 2026. CCF-A

• FMaMIL: Synergistic Spatial-Frequency Mamba Multi-Instance Learning for Weakly Supervised Pathology Lesion Segmentation
  Hangbei Cheng, Xiaorong Dong, Jia Shen, Guangze Shi, Xueyu Liu, Jianan Zhang, Xuetao Ma, Mingqiang Wei, Liansheng Wang, Junxin Chen, Yongfei Wu.
  Pattern Recognition, 2025. SCI 1区 Top CCF-B

• GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images
  Hangbei Cheng, Xueyu Liu, Jun Zhang, Xiaorong Dong, Xuetao Ma, Yansong Zhang, Hao Meng, Xing Chen, Guanghui Yue, Yidi Li, Yongfei Wu
  Expert Systems with Applications, 2025. SCI 1区 Top CCF-C

• Efficient Face Anti-Spoofing via Head-aware Transformer based Knowledge Distillation with 5MB model parameters
  Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Shu Feng, Yongfei Wu, Daoxiang Zhou
  Applied Soft Computing, 2024. SCI 1区 Top

• ACAN: A Plug-and-Play Adaptive Center-Aligned Network for Unsupervised Domain Adaptation
  Yunfei Zhang, Jun Zhang, Tonglu Li, Feixue Shao, Xuetao Ma, Yongfei Wu, Shu Feng, Daoxiang Zhou.
  Engineering Applications of Artificial Intelligence, 2024. SCI 1区 Top CCF-C

• Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models
  Jiazi Ouyang, Xuetao Ma, Yongfei Wu, Ming Li, Chen Wang, Xiaoshuang Zhou, Petting Gao
  Biomedical Signal Processing and Control, 2023 SCI 2区

• KDFAS: Multi-Stage Knowledge Distillation Vision Transformer for Face Anti-Spoofing
  Jun Zhang, Yunfei Zhang, Feixue Shao, Xuetao Ma, Daoxiang Zhou.
  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. CCF-C

• Exploring masked image modeling for face anti-spoofing
  Xuetao Ma, Jun Zhang, Yunfei Zhang, Daoxiang Zhou
  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022. CCF-C

🎖 Honors and Awards

• 2025.12 🔥Graduate Academic Innovation scholarship🔥 by the School of Artificial Intelligence, Beijing Normal University.
• 2025.10 🔥Graduate National Scholarship🔥 by the School of Artificial Intelligence, Beijing Normal University.
• 2024.10 Second-class academic scholarship by the School of Artificial Intelligence, Beijing Normal University.
• 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

• 2025.02 - 2025.09, NLP Engineer, Tomorrow Advancing Life (TAL), Beijing.

😊 Collaborators

I’ve had the pleasure of working with：

• Jun Zhang, Ph.D student, School of Artificial Intelligence, Jilin University (JLU)
• Yunfei Zhang, Ph.D student, School of Computer Science and Technology, Xi’an Jiaotong University (XJTU)
• Feixue Shao, Ph.D student, College of Mathematics, Taiyuan University of Technology (TYUT)
• Hangbei Cheng, PH.D student, School of Computer Science and Technology, Beijing Institute of Technology (BIT)
• Jia Shen, PH.D student, School of Computer Science and Technology, Xi’an Jiaotong University (XJTU)