About me
I am an incoming CS PhD student (Fall 2025) at University of Illinois Chicago (UIC), fortunately supervised by Prof. Lu Cheng. Previously, I received my master’s degrees from Southeast University and Monash University (Double degree program), advised by Prof. Guilin Qi. I also received my Bachelor’s degree from Hefei University in June 2022. Additionally, I worked as a research intern under the guidance of Prof. Chenyu You at Stony Brook University in 2024.
My research interests lie at:
- Retrieval-Augmented Generation (RAG)
- LLMs with heterogeneous data (text, graphs and tables)
- Trustworthy ML: Uncertainty Quantification.
🎉 News
05-2025: Served as a reviewer for EMNLP-2025.
02-2025: Served as a reviewer for ACL-2025.
01-2025: One paper (UniHGKR) was accepted by NAACL (Main) 2025, Oral Paper, with the highest meta-review score of 5!
12-2024: One paper was accepted by AAAI 2025!
🎓 Education
University of Illinois Chicago , Ph.D. , 08/2025 - present
Southeast University , M.S. , 09/2022 - 2025.06
Monash University , M.S. , 09/2022 - 2025.06
Hefei University , B.S. , 09/2017 - 06/2022
📝 Publications and Preprints
(* Refers to the authors having the equal contribution, and should be considered as co-first authors.)
Dehai Min, Zhiyang Xu, Guilin Qi, Lifu Huang, and Chenyu You. UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers (NAACL 2025, Oral), Code
Dehai Min*, Nan Hu*, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li et al. Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data (NAACL 2024, Industry Track paper, Oral), Slides.
Yiming Tan*, Dehai Min*, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, and Guilin Qi. Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family (ISWC 2023, Oral), Code ,Slides
Nan Hu, Yike Wu, Guilin Qi, Dehai Min, Jiaoyan Chen, Jeff Z. Pan, and Zafar Ali. An empirical study of pre-trained language models in simple knowledge graph question answering (WWW Journal 2023) , Code
Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Dehai Min, Yongrui Chen, and Guilin Qi. Three stream based multi-level event contrastive learning for text-video event extraction (EMNLP 2023, Oral) , Slides.
Yu Li, Shenyu Zhang, Rui Wu, Xiutian Huang, Yongrui Chen, Wenhao Xu, Guilin Qi, and Dehai Min. MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation (DASFAA 2024, Oral)
Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min and Sheng Bi. HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding (AAAI 2025).
🧑🏫 Internship
Stony Brook University , 07/2024 - 11/2024
- Research Intern , Advisor: Chenyu You
👨💻 Academic services
Reviewer of ACL-2025, EMNLP-2025
Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Subreviewer of the International Semantic Web Conference (ISWC 2024)
🏅 Competitions
( I was an active participant in programming competitions during my undergraduate years. )
- ACM-ICPC (International Collegiate Programming Contest) , Asian Regional Contest (Shanghai Site and others), 2019-2020, Silver Medal. individual / team
- CCPC-Finals (China Collegiate Programming Contest National Finals), 2019, 21st place, Silver Medal
- 16th Baidu Star Programming Contest, National Semi-Finals, 2019, 154th place (154/13900+)
- Anhui Province Collegiate Programming Contest, First Prize (2 times, 2019, 2020), Champion (1 time, 2020)
- Codeforces Rating: 2108 (Master), link
