Dehai Min   闵德海

👋 I am a first-year CS Ph.D. student (Aug. 2025–) at University of Illinois Chicago (UIC), advised by Prof. Lu Cheng. I received my M.S. from Southeast University, advised by Prof. Guilin Qi, and my B.S. from Hefei University. I was also a research intern at Stony Brook University in 2024, working with Prof. Chenyu You.

My current research interests include Retrieval-Augmented Generation (RAG) & Deep Research and Trustworthy LLMs: Uncertainty Quantification. Previously, during my master's studies, I worked on LLMs with heterogeneous data (text, graphs, and tables).

🎉 News

• [2025.12] New paper released: QuCo-RAG — Quantifying Uncertainty from the Pre-training Corpus for Dynamic RAG. 📄 Paper / 📦 Code / Covered by 🔥 新智元.
• [2025.12] Selected as Outstanding Reviewer of 2024–2025 for IEEE TNNLS! 📦 Certificate
• [2025.12] New paper released: MVI-Bench — Evaluating Robustness to Misleading Visual Inputs in LVLMs. 📄 Paper / 📦 Code
• [2025.08] Moved to Chicago 🇺🇸.
• [2025.01] 🎉 One paper (UniHGKR) accepted by NAACL 2025 as Oral, with the highest meta-review score of 5! 📦 Code / 🤗 Models & Datasets
• [2024.12] One paper accepted by AAAI 2025!

🎓 Education

University of Illinois Chicago , Ph.D. , 08/2025 - present

Southeast University , M.S. , 09/2022 - 06/2025

Hefei University , B.S. , 09/2017 - 06/2022

📝 Publications and Preprints

(* denotes equal contribution.)

First-author Publications

• Dehai Min, Kailin Zhang, Tongtong Wu, Lu Cheng. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation Under Review
  📄 Paper / 📦 Code /

• Dehai Min, Zhiyang Xu, Guilin Qi, Lifu Huang, and Chenyu You. UniHGKR: Unified Instruction-aware Heterogeneous Knowledge Retrievers NAACL 2025, Oral Highest Meta-Review Score: 5
  📄 Paper / 📦 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, Oral
  📄 Paper / 🎤 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 190 Citations
  📄 Paper / 📦 Code / 🎤 Slides

Collaborative Publications

• Mingyang Wei, Dehai Min, Zewen Liu, Yuzhang Xie, Guanchen Wu, Carl Yang, Max S.Y. Lau, Qi He, Lu Cheng, Wei Jin. EpiQAL: Benchmarking Large Language Models in Epidemiological Question Answering for Enhanced Alignment and Reasoning Under Review

• Huiyi Chen, Jiawei Peng, Dehai Min, Changchang Sun, Kaijie Chen, Yan Yan, Xu Yang, Lu Cheng. MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs Under Review
  📦 Code

• 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

• 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

• 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

🧑‍🏫 Internship

👨‍💻 Academic Services

• Outstanding Reviewer of 2024–2025, IEEE TNNLS 📦 Certificate

• Reviewer of ACL 2025/2026, EMNLP 2025, ICML 2026

• Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• Subreviewer of the International Semantic Web Conference (ISWC 2024)

🏆 Scholarships (Selected)

• Southeast University Xiaomi Scholarship (1/98), Nov. 2024
• Southeast University Alumni Scholarship (Top 1%), Oct. 2023
• University-level First-class Scholarship, Oct. 2020

🏅 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