Peng "Richard" Xia (夏鹏)
I am a Ph.D. student at Department of Computer Science, UNC-Chapel Hill, advised by Prof. Huaxiu Yao.
Before that, I was briefly enrolled (2023-2024) as a Ph.D. student at Monash University, advised by A/Prof. Zongyuan Ge.
I got B. Eng degree in AI Experimental Class, School of Computer Science and Technology at Soochow University in 2023.
I am deeply intrigued by Multi-modal (e.g., vision, language) LLM and Agent with their applications to health and broad science. My recent research endeavors involve retrieval-based methods, aiming to play a fundamental role in next-generation vision-language models to improve their factuality, adaptability, and trustworthiness.
I am always open to collaboration. Feel free to drop me an e-mail. :-)
Email: richard.peng.xia AT gmail DOT com; pxia AT cs DOT unc DOT edu
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News
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Jan.2025: Three papers were accepted by ICLR 2025 and MMIE was selected as an oral presentation.
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Dec.2024: Invited talk at Cohere For AI, one paper was accepted by COLING 2025, two papers were accepted by AAAI 2025.
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Sep.2024: One paper was accepted by NeurIPS 2024 and one paper was accepted by EMNLP 2024.
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Jul.2024: One paper was accepted by ECCV 2024.
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Jun.2024: Two papers were accepted by MICCAI 2024 and one was early accepted.
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Sep.2023: One paper was accepted by NeurIPS 2023.
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Aug.2022: Share paper list about multi-modal learning in medical imaging.
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MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Peng Xia, Kangyu Zhu, Hanran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
International Conference on Learning Representations (ICLR), 2025. | AFM and SafeGenAI Workshop at NeurIPS, 2024
[Paper]
[Code]
[Marktechpost Video]
[Marktechpost News]
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MMIE: Massive Multimodal Interleaved Comprehension Benchmark For Large Vision-Language Models.
Peng Xia*, Siwei Han*, Shi Qiu*, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao
International Conference on Learning Representations (ICLR), 2025. (Oral Presentation) | AFM Workshop at NeurIPS, 2024
[Paper]
[Code]
[Project Page]
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AnyPrefer: An Automatic Framework for Preference Data Synthesis.
Yiyang Zhou*, Zhaoyang Wang*, Tianle Wang*, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
International Conference on Learning Representations (ICLR), 2025. | AFM Workshop at NeurIPS, 2024
[Paper]
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CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
The Conference on Neural Information Processing Systems (NeurIPS), 2024
[Paper]
[Code]
[Project Page]
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During Ph.D. Journey at Monash
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Ming Hu*, Peng Xia*, Lin Wang*, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jurgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge
European Conference on Computer Vision (ECCV), 2024
[Paper] [Code] [Project Page]
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NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding
Ming Hu, Lin Wang, Siyuan Yan, Don Ma, Qingli Ren, Peng Xia, Wei Feng, Peibo Duan, Lie Ju, Zongyuan Ge
The Conference on Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code]
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Patents
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Model Training Method, Device, Electronic Device and Storage Medium
Peng Xia, Tong Ma, Ming Hu, Lie Ju, Bin Wang, Zongyuan Ge, Dalei Zhang
CN Patent, CN116994100A, 2023.
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Model Training Method, Fundus Image Prediction Method and Device
Peng Xia, Lie Ju, Ming Hu, Tong Ma, Bin Wang, Kaimin Song, Zongyuan Ge, Dalei Zhang
CN Patent, CN115620384A, 2023.
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Apparatus and Computer-Readable Storage Medium for Predicting Cognitive Impairment
Peng Xia, Tong Ma, Ming Hu, Lie Ju, Bin Wang, Zongyuan Ge, Dalei Zhang
CN Patent, CN115590481A, 2022.
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Selected Honors & Awards
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ICLR Oral Presentation (Top 1.8%), 2025
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MSRI Graduate Scholarship, MSRI Living Stipend, 2023-2024
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Third Place, Shanghai-HK Interdisciplinary Shared Tasks Task 1, 2022
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Second Price, The 3rd Huawei DIGIX AI Algorithm Contest, 2021
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Honorable Mention, Mathematics Contest in Modeling, 2021
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Academic Services
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Student Volunteer: EMNLP (2024)
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Journal/Conference Reviewer: NeurIPS (2024), NeurIPS D&B Track (2024), ICML (2024-2025), ICLR (2025), CVPR (2025), MICCAI (2024-2025), WACV (2025), ACL Rolling Review (ARR) (2024-2025), International Journal of Computer Vision (IJCV), IEEE Transactions on Medical Imaging (TMI), Stat
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© Peng Xia | Last updated:
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