I am a PhD student in the Department of Computer Science and Engineering at the University of Notre Dame. My advisor is Prof. Yanfang (Fanny) Ye. Under Prof. Ye’s supervision, I collaborate with my lab mates and Prof. Lichao Sun.
I am now working on NLP, deep learning (about methods of training models), large language models (LLMs) and multimodal training research. If you are seeking any form of academic cooperation, please feel free to email me at zyuan2@nd.edu.
My research interest includes Accelerated Computing, NLP, deep learning (about methods of trainning models), large language models (LLMs) and multimodal training.
🔥 News
- 2026.01: 🎉 Our Paper Accepted by ICLR 2026! Congratulations!
- 2026.01: 🎉 Our Paper BLURR Accpeted by WWW 2026 Demo Track! Congratulations to my intern!
- 2026.01: 🎉 Our 2 Papers Accpeted by EACL 2026
- 2025.11: 🎉 Our 2 Papers Accpeted by AAAI 2026
- 2025.09: 🎉 Our Paper Accpeted by NeurIPS 2025
- 2025.08: 🎉 Our Paper Accpeted by CoLM 2025
- 2024.03: 🎉 Mora: Enabling Generalist Video Generation via A Multi-Agent Framework is preprint.
- 2024.02: 🎉 Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models is preprint.
- 2024.02: 🎉 I will be attending the University of Notre Dame in August 2024 and pursuing a PhD under the guidance of Prof. Yanfang Ye.
- 2023.12: 🎉 TinyGPT-V is preprint.
- 2023.05: 🎉 Our paper RPN was accepted by 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023).
- 2023.05: 🔥 We release ArtGPT-4
📝 Selected Publications (❁Equal contributions)
- Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?, Zhengqing Yuan, Liang Wu, Jian Xu, Zheyuan Zhang, Kaiwen Shi, Weixiang Sun, Lichao Sun, Yanfang Ye (ICLR 26)
- BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Model, Xiaoyu Ma❁, Zhengqing Yuan❁, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye (WWW 26 Demo Track)
- NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering, Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye (EACL 26 Main Conference)
- Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use, Yiyang Li, Zehong Wang, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye (EACL 26 Findings)
- Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions, Yunhong He❁, Zhengqing Yuan❁, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun (AAAI 26)
- 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation, Yunhong He❁, Zhengqing Yuan❁, Zhengzhong Tu, Yanfang Ye, Lichao Sun (AAAI 26 Demo Track)
- ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions, Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V Chawla, Olaf Wiest, Xiangliang Zhang (NeurIPS 25)
- Exposing and Patching the Flaws of Large Language Models in Social Character Simulation, Yue Huang❁, Zhengqing Yuan❁, Yujun Zhou❁, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang (CoLM 25)
- Mora: Enabling Generalist Video Generation via A Multi-Agent Framework, Zhengqing Yuan, Yixin Liu, Yihan Cao, Weixiang Sun, Haolong Jia, Ruoxi Chen, Zhaoxu Li, Bin Lin, Li Yuan, Lifang He, Chi Wang, Yanfang Ye, Lichao Sun (Github 1.6k+ Stars)
- Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models, Yixin Liu❁, Kai Zhang❁, Yuan Li❁, Zhiling Yan❁, Chujie Gao❁, Ruoxi Chen❁, Zhengqing Yuan❁, Yue Huang❁, Hanchi Sun❁, Jianfeng Gao, Lifang He, Lichao Sun
- TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones, Zhengqing Yuan, Zhaoxu Li, Weiran Huang, Yanfang Ye, Lichao Sun (Github 1.3k+ Stars)
- ArtGPT-4: Towards Artistic-understanding Large Vision-Language Models with Enhanced Adapter, Zhengqing Yuan, Yunhong He, Kun Wang, Yanfang Ye, Lichao Sun
- RPN: A Word Vector Level Data Augmentation Algorithm in Deep Learning for Language Understanding, Zhengqing Yuan, Zhuanzhe Zhao, Yongming Liu, Xiaolong Zhang, Xuecong Hou, Yue Wang, Huiwen Xue (2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2023))
📰 Peer Review
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- IEEE Latin America Transaction Reviwer
- COLM 2025 Reviwer
- ACM KDD 2025 Reviwer
- IEEE Transactions on Medical Imaging Reviwer
- IEEE Access Reviewer
- AAAI 2026 Reviwer
- ICLR 2026 Reviwer
🎖 Honors and Awards
- 2021.10 National Inspirational Scholarship
- 2021.10 University of Third Class Scholarship
- 2022.10 Provincial Student Entrepreneurship Project
- 2022.10 University of Three Good Students
- 2023.04 Top Ten Students of Anhui Polytechnic University
📖 Educations
- 2024.08 - 2029.05, PhD Candicate, University of Notre Dame.
- 2020.09 - 2024.06, Undergraduate, Shool of Artificial Intelligence, Anhui Polytechnic University Wuhu.
📖 Presentation
- 2023.08, AI TIMES (Tsinghua University), ArtGPT-4
🧢 Membership
- 2022.12 - 2023.12, IEEE Student Member
- 2024.02 - 2025.02, IEEE Student Member
- 2025.02 - 2026.02, IEEE Member
💻 Internships
- 2024.9 - 2025.4, Research Intern at US Lab, Mohamed bin Zayed University of Artificial Intelligence, US Lab.
- 2023.7 - 2024.8, Visiting student at LAIR Lab, Lehigh University, US. (Supervisor: Lichao Sun)
- 2023.10 - 2024.5, Research Intern at HAOMO.AI.
- 2021.11 - 2022.11, Intelligent Human-Computer Interaction Joint Laboratory, Wuhu. (Algorithm, Front-end and Back-end Engineers)