About

I am a third-year Ph.D. student at the University of Georgia, now working with Prof. Ninghao Liu. I obtained my bachelor’s degree in statistics from the School of Statistics and Information at Shanghai University of International Business and Economics (SUIBE), where I worked with Prof. Chengcheng Hao and Prof. Liangliang Liu.

Research Interests

Natural Language Processing: interpretability and human alignment.

Data Mining: recommender systems, knowledge graphs, and multi-modals modelling.

AI for Science: education and medicine.

News

• Apr, 2024: Invited talk in the School of Computing at the University of Georgia!

• Apr, 2024: One paper is accepted by TIST!

• Mar, 2024: One paper is accepted by NAACL 2024!

• Jan, 2024: One paper is accepted by WWW 2024!

• Sep, 2023: One paper is accepted by NIPS 2023!

• Apr, 2023: One paper is accepted by AIED 2023!

• Jan, 2022: I joined the Data Lab at UGA (DLGA) as a research assistant!

Recent Pre-Prints

• Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era
  Xuansheng Wu*, Haiyan Zhao*, Yaochen Zhu*, Yucheng Shi*, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu
  [Paper] [Code]

• A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges
  Xuansheng Wu, Kaixiong Zhou, Mingchen Sun, Xin Wang, and Ninghao Liu
  [Paper]

• Artificial General Intelligence (AGI) for Education
  Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, and Xiaoming Zhai
  [Paper]

Publications

From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, and Dong Yu. NAACL (oral), 2024.
[Paper] [Code]

Could Small Language Models Serve as Recommenders? Toward Data-centric Cold-start Recommendation
Xuansheng Wu, Huachi Zhou, Wenlin Yao, Xiao Huang, and Ninghao Liu. WWW (oral), 2024.
[Paper] [Code]

Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, and Ninghao Liu. NIPS, 2023.
[Paper] [Code]

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education
Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, and Xiaoming Zhai. AIED (oral), 2023.
[Paper] [Code]

Rethinking the Impacts of Overfitting and Feature Quality on Small-scale Video Classification.
Xuansheng Wu, Feichi Yang, Xinyue Lin, and Tong Zhou. ACM MM (oral), 2021.
[Paper] [Code]

Projects

DaPy: an easy-to-use data analysis framework for humans.
Xuansheng Wu, and Feichi Yang.
[Website]

Distributed Archery Events Management System.
Xuansheng Wu, Feichi Yang, and Jingjing Guo.
[Website]

Working Experiments

• May 2023 - Aug 2023, Research Intern, Tencent AI Lab
• Sep 2020 - Apr 2021, Research & Development Intern, Baidu NLP
• Jan 2019 - Jun 2019, Research & Development Intern, OneConnect Financial Technology
• Jan 2018 - Feb 2018, Data Analyst Intern, Shanghai Ronghao Investment

Awards

• 2021 Tencent Advertising Algorithm Competition - Top 2%
• 2020 Shanghai Aijian Scholarship - Top 1%
• 2019 Research Pioneer Award of SUIBE - Top 1%
• 2019 2nd Prize of China Programming Contest for College Students - Top 5%

Teaching

• 2022 Spring: Teaching Assistant of CSCI4380/6380 Data Mining, University of Georgia.