个人简历

Xueyuan Lin, 林学渊

E-mail: linxy59@mail2.sysu.edu.cn

Short Biography

I started my PhD journey this year after one-year working at iwencai, Hithink RoyalFlush Information Network Co.,Ltd. I was admitted to the joint cultivation program between The Hong Kong University of Science and Technology (Guangzhou) and International Digital Economy Academy (IDEA). My advisors are Prof. Hui Xiong at HKUST(GZ) and Prof. Jian Guo at IDEA. My research interests include multimodal agents and natural language processing. I also pay attention to topics such as time series, graphs, knowledge graphs and reinforcement learning.

Study for creating another world. Pursue eternity and truth. Ginkgo spans the ages, peonies flourish, AGI forges the path to my eternal journey.

Research Interests

Natural Language Processing (Dialogue, Reasoning, RLHF, multimodal agents)

Graph Learning

Time Series

Reinforcement Learning

Education

🎓

The Hong Kong University of Science and Technology (Guangzhou), 2024 - Present

PhD, Artificial Intelligence Thrust, Information Hub, Guangzhou

🧑‍🎓

Beijing University of Posts and Telecommunications, 2020 - 2023 Academic master, Computer Science and Technology, School of Computer Science (National Demonstrative Software School), Beijing

👨‍🎓

Sun Yat-Sen University, 2016 - 2020

Undergraduate, Information and Computing Science, School of Mathematics (Zhuhai), Zhuhai

Publications

Conference Articals

Xueyuan Lin, Haihong E*, Chengjin Xu*, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, and Mingzhi Sun. TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph In Thirty-seventh Conference on Neural Information Processing Systems, 2023. (NeurIPS 2023, CCF A) [paper] [code]

Haoran Luo, Haihong E*, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan. NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs Proceedings of the AAAI Conference on Artificial Intelligence 37.4 (June 2023) pp. 4543–4551. 2023 (AAAI 2023, CCF A) [paper] [code]

Journal Artical

Xueyuan Lin, Haihong E*, Wenyu Song, Haoran Luo and Meina Song. QubitE: Qubit Embedding for Knowledge Graph Completion [J].Computer Science, 2023, 50(11): 201-209. (CCF B) [paper] [code]