Xiaohan Xu
First Year Ph.D., Computer Science, The University of Hong Kong
shawnxxh [AT] gmail.com
Bio
I am currently a first-year student at The University of Hong Kong pursuing a Ph.D. in Computer Science, advised by Prof. Reynold Cheng. Before that, I received my M.S. from Institute of Information Engineering, Chinese Academy of Sciences, advised by Prof. Hongbo Xu. I earned my B.S. in Automation from Beijing Institute of Technology, supervised by Prof.Yuan Li. During my undergraduate study, I had an opportunity to participate in a summer research program on data mining at the Illinois Institute of Technology, mentored by Dr. Zelenberg. Additionally, I gained valuable industry and research institute experience through internships at Microsoft, Baidu Inc., and Beijing Academy of Artificial Intelligence (BAAI), etc.
My research interests focus on Large Language Model with structured data, e.g. Database, Knowledge Graph (KG), etc..
News⭐️
- 2024-09-22: ⭐️ Two papers are accepted by EMNLP 2024: Rereading for LLM's reasoning, Survey of LLM-as-Evaluator.
Publications
‡ indicates equal contribution.A survey on knowledge distillation of large language models
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
Arxiv 2024
Leveraging large language models for nlg evaluation: A survey
Zhen Li‡, Xiaohan Xu‡, Tao Shen, Can Xu, Jia-Chen Gu, Chongyang Tao
EMNLP 2024
Re-reading improves reasoning in language models
Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-guang Lou, Shuai Ma
EMNLP 2024
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
IJCAI'22 Long Presentation
A survey on knowledge distillation of large language models
Xiaohan Xu, Ming Li, Chongyang Tao, Tao Shen, Reynold Cheng, Jinyang Li, Can Xu, Dacheng Tao, Tianyi Zhou
Arxiv 2024
Leveraging large language models for nlg evaluation: A survey
Zhen Li‡, Xiaohan Xu‡, Tao Shen, Can Xu, Jia-Chen Gu, Chongyang Tao
EMNLP 2024
Re-reading improves reasoning in language models
Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-guang Lou, Shuai Ma
EMNLP 2024
MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation
Longzheng Wang‡, Xiaohan Xu‡, Lei Zhang, Jiarui Lu, Yongxiu Xu, Hongbo Xu, Chuang Zhang
Arxiv 2024
Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
Xiaohan Xu, Peng Zhang, Yongquan He, Chengpeng Chao, Chaoyang Yan
IJCAI'22 Long Presentation
Cross-modal Contrastive Learning for Multimodal Fake News Detection
Longzheng Wang, Chuang Zhang, Hongbo Xu, Yongxiu Xu, Xiaohan Xu, Siqi Wang
ACMMM 2023
PoKE: Prior Knowledge Enhanced Emotional Support Conversation with Latent Variable
Xiaohan Xu, Xuying Meng, Yequan Wang
Preprint 2023
Vitæ
Full Resume in PDF.
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The University of Hong Kong Sep 2024 - nowPh.D.
Computer Science, NLP -
UCAS, IIE Sep 2021 - Jun 2024M.S.
Cyberspace Security, NLP -
Microsoft May 2023 - nowResearch Intern
Large Language Model -
Baidu Inc. Nov 2022 - May 2023Research Intern
XiaoDu Cloud, NLP -
BAAI Apr 2022 - Oct 2022Research Intern
Foundation Model, NLP -
Shenzhen Qianan Inc. Jul 2021 - Sep 2021Research Intern
Big Data Group, ML -
Illinois Institute of Technology Jul 2019 - Sep 2019Summer Research
Data Mining -
University of Alberta Jul 2018 - Aug 2018Exchange Student
School-sponsored exchange program -
Beijing Institute of Technology Sep 2017 - Jun 2021B.Sc. Student
Automation
National Scholarship
National Encouragement Scholarship
Awards
- Postgraduate Scholarship (PGS) , HKU, 2024
- National Scholarship (<2%), Beijing Institute of Technology, 2018
- National Encouragement Scholarship (<5%), Beijing Institute of Technology, 2019
- Excellent Student Model (<2%), Beijing Institute of Technology, 2018