杨 骁 文 |
Currently I am a first-year graduate student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.
I got my B.Sc. degree in Department of Computer Science and Technology in June 2023 from Nanjing University. In the same year, I was admitted to pursue for a Ph.D. degree in Nanjing University without entrance examination.
My research interests include Machine Learning and Artificial General Intelligence (AGI). Currently I am focusing on the subfields:
Neural Symbolic Intergrarion: integrating the power of machine learning and logical reasoning
Reasoning in LLMs: improving the logical and mathematical reasoning ability of large language models
Safe Abductive Learning in the Presence of Inaccurate Rules.
Xiao-Wen Yang, Jie-Jing Shao, Wei-Wei Tu, Yu-Feng Li, Wang-Zhou Dai, Zhi-Hua Zhou.
The 38th AAAI Conference on Artificial Intelligence (AAAI 2024).
LOG: Active Model Adaptation for Label-Efficient OOD Generalization.
Jie-Jing Shao, Lan-Zhe Guo, Xiao-Wen Yang, Yu-Feng Li.
The 36th Conference on Neural Information Processing Systems (NeurIPS 2022).
Open-Set Learning under Covariate Shift.
Jie-Jing Shao*, Xiao-Wen Yang*, Lan-Zhe Guo.
Machine Learning. (ML'22)
Investigating the Limitation of CLIP Models: The Worst-Performing Categories.
Jie-Jing Shao*, Jiang-Xin Shi*, Xiao-Wen Yang*, Lan-Zhe Guo, Yu-Feng Li.
Preprint
Lightweight Retrieval Tuning for Black-Box Language Models.
Xiao-Wen Yang, Hong-Jie You, Peng-Xiao Song, Hao-Ran Hao, Jie-Jing Shao, Yu-Feng Li.
NeurIPS'23 ENSLP Workshop.
Email:
yangxw@lamda.nju.edu.cn