About me
I am currently a first-year CS Ph.D. student (Aug.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
08-2025: Moved to Chicago 🇺🇸.
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! [📦 Code], [🤗 Models & Datasets].
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], [🤗 Models & Datasets].
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, 2 times 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
