Yuan Zhong (钟原)
About Me
I am a Ph.D. candidate in the College of Information Sciences and Technology (IST) at
Penn State University, advised by Prof.
Fenglong Ma.
My research focuses on generative AI, multimodal learning, and longitudinal clinical data generation, with recent work on diffusion models, any-to-any multimodal generation, and LLM-based recommendation systems.
Previously, I obtained my Master's degree in Mathematical Finance from Boston University and my Bachelor's degree in Statistics from the University of Illinois at Urbana-Champaign.
Research Interests
My research interests include LLM fine-tuning, reinforcement learning, preference optimization, any-to-any multimodal generation, diffusion models, constrained generation, clinical data synthesis, and recommendation systems.
News
- [2026] One paper accepted by ACL 2026!
- [2026] One paper accepted by SIGIR 2026!
- [05/2025] One paper accepted by KDD 2025!
- [01/2025] One doctoral consortium paper accepted by AAAI 2025!
- [05/2024] One paper accepted by KDD 2024!
- [04/2024] One paper accepted by IJCAI 2024!
- [03/2024] One paper accepted by SIGIR 2024!
- [12/2023] Two papers accepted by SDM 2024!
- [10/2023] One paper accepted by EMNLP 2023!
Selected Publications
(* indicates equal contribution)
Conference Papers
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GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models
Yuan Zhong, Chuanwei Ruan, Moein Hasani, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026)
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A Cascaded Generative Approach for e-Commerce Recommendations
Moein Hasani, Hamidreza Shahidi, Trace Levinson, Yuan Zhong, Guanghua Shu, Vinesh Gudla, Tejaswi Tenneti
In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026)
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MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Fenglong Ma
In Proceedings of the 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2025)
[Paper] [Code]
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Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (ACL 2024)
[Paper]
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Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models
Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
In Proceedings of the 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)
[Paper] [Code]
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FineRec: Exploring Fine-grained Sequential Recommendation
Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
[Paper]
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Recent Advances in Predictive Modeling with Electronic Health Records
Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
[Paper]
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MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation
Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
In Proceedings of the SIAM International Conference on Data Mining (SDM 2024)
[Paper] [Code]
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Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
In Proceedings of the SIAM International Conference on Data Mining (SDM 2024)
[Paper]
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Hierarchical Pretraining on Multimodal Electronic Health Records
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
[Paper]
Other Paper
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Advancing Medical Multimodal Learning and Data Generation with Diffusion Model and LLM
Yuan Zhong
In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence, Doctoral Consortium (AAAI 2025)
Honors & Awards
Academic Service
Conference Program Committee/Reviewer
KDD 2025, ACL 2025,
Teaching
Teaching Assistant, SRA 365: Statistical Analysis for Information Sciences, PSU, 2022 Fall - Present