Rong Zhou’s Homepage

About Me

I’m a Ph.D. student in Computer Science at Lehigh University. My research focuses on Deep Learning (Generative Modeling, Contrastive Learning, Cross-Modal Attention), Multimodal Learning, Medical Image Computing, and Brain Imaging Genomics.

I am very fortunate to be advised by Prof. Lifang He, Prof. Yu Zhang, and Prof. Brian Y. Chen.

News

[May 2025] Started Research Internship at Squirrel AI Learning, Seattle, WA
[2025] Selected for Rossin Professional Development Program Fellowship
[2025] Received Lehigh AI Project Award
[2024] Received MLSys’24 Student Travel Award
[Dec 2023] Presented at IEEE BIBM 2023, Istanbul, Turkey
[Oct 2023] Presented at MICCAI 2023, Vancouver, Canada

Research Interests

Medical AI: Medical multimodal learning, generative modeling, and interpretable neural networks for disease prediction and clinical decision support
Knowledge Graphs and LLMs: Knowledge graph completion, semantic relation extraction, and integration with large language models for intelligent reasoning in educational and biomedical domains
Multimodal Data Integration: Fusion and representation learning across imaging, text, and genomics, with applications in diagnosis, biomarker discovery, and personalized recommendation

Publications

You can also find my articles on Google Scholar.

(^* denotes equal contribution)

Adaptive Clinical Aware Latent Diffusion for Multimodal Brain Image Generation And Missing Modality Imputation
Rong Zhou, Houliang Zhou, Yao Su, Brian Y. Chen, Yu Zhang, Lifang He, Alzheimer’s Disease Neuroimaging Initiative.
IEEE International Symposium on Biomedical Imaging (ISBI), under review, 2026.
TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation
Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun.
Medical Imaging with Deep Learning (MIDL), under review, 2026.
Uncovering Alzheimer’s Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks
Houliang Zhou, Rong Zhou, Yangying Liu, Kanhao Zhao, Li Shen, Brian Y Chen, Yu Zhang, Lifang He, Alzheimer’s Disease Neuroimaging Initiative.
arXiv preprint arXiv:2509.21735, 2025.
EfficientLLM: Efficiency in Large Language Models
Zhengqing Yuan^*, Weixiang Sun^*, Yixin Liu^*, Huichi Zhou^*, Rong Zhou^*, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye.
International Conference on Learning Representations (ICLR), under review, 2025.
Can Text-to-Video Models Generate Realistic Human Motion?
Zhengqing Yuan^*, Yunhong He^*, Zixuan Weng^*, Rong Zhou^*, Weixiang Sun^*, Mengyu Wang, Lifang He, Lichao Sun, Yanfang Ye.
International Conference on Learning Representations (ICLR), under review, 2025.
A Survey on Post-training of Large Language Models
Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Zhenhan Dai, Yao Su, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Weiran Huang, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Yong Chen, Neil Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip Yu, Jianfeng Gao.
ACM Computing Surveys (CSUR), under review, 2025.
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
Multitask learning 1997–2024: Part I fundamentals
Jun Yu, Xiaokang Liu, Chongliang Luo, Jin Huang, Rong Zhou, Yixin Liu, Jie Hu, Jianmin Chen, Ke Zhang, Dazheng Zhang, Yishan Shen, Eashan Adhikarla, Yutong Dai, Kai Zhang, Zhaoming Kong, Wenxuan Ye, Yilong Yin, Vinod Namboodiri, Brian Davison, Jason Moore, Yong Chen.
Harvard Data Science Review, 2025.
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
Xinpeng Wang, Rong Zhou, Han Xie, Xiaoying Tang, Lifang He, Carl Yang.
Engineering in Medicine and Biology Conference (EMBC), 2025.
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis
Zhaoming Kong^*, Rong Zhou^*, Xinwei Luo, Songlin Zhao, Ann B Ragin, Alex D Leow, Lifang He.
BioData Mining, 2024.
A generalist vision–language foundation model for diverse biomedical tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla, Zhiling Yan, Weixiang Sun, Yiwei Li, Zhennong Chen, Sekeun Kim, Hui Ren, Zhengliang Liu, Xun Chen, Brian D Davison, Jing Huang, Chen Chen, Yuyin Zhou, Sunyang Fu, Wei Liu, Tianming Liu, Xiang Li, Yong Chen, Lifang He, James Zou, Quanzheng Li, Hongfang Liu, Lichao Sun.
Nature Medicine, 2024.
Biomedical sam 2: Segment anything in biomedical images and videos
Zhiling Yan^*, Weixiang Sun^*, Rong Zhou^*, Sifan Song, Dingjie Song, Zhengqing Yuan, Kai Zhang, Yiwei Li, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun.
Conference on Neural Information Processing Systems AI for Science Workshop (NeurIPS AIM-FM Workshop), 2024.
ViT-1.58 b: Mobile Vision Transformers in the 1-bit Era
Zhengqing Yuan^*, Rong Zhou^*, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun.
arXiv preprint arXiv:2406.18051, 2024.
Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V
Zhiling Yan, Kai Zhang, Rong Zhou, Lifang He, Xiang Li, Lichao Sun.
IEEE Journal of Biomedical and Health Informatics (JBHI), under review, 2024.
Normative Modeling with Focal Loss and Adversarial Autoencoders for Precise Identification of Alzheimer’s Disease
Songlin Zhao, Rong Zhou, Yu Zhang, Yong Chen, Lifang He.
MICCAI Workshop on Augmented Environments for Computer-Assisted Interventions (MICCAI-AMAI Workshop), 2024.
Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer’s Disease Prediction in Brain Imaging Genetics
Rong Zhou, Houliang Zhou, Li Shen, Brian Chen, Yu Zhang, Lifang He.
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), 2023.
Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease Using Multimodal Imaging Genetics
Rong Zhou, Houliang Zhou, Brian Chen, Li Shen, Yu Zhang, Lifang He.
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 (Early Accept).
Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer’s Disease
Xuetong Wang^*, Rong Zhou^*, Kanhao Zhao, Alex Leow, Yu Zhang, Lifang He.
IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 2023 (Oral).
Elaborate Bladder Cancer Knowledge Graph for Question Answering System Based on BERT-BiLSTM-CRF
Rong Zhou, Kai Yang, Zhen Li, Kai Wu, Peng Wu, Song Wu.
Journal of Biomedical Informatics, under review, 2023.
Multimodal Investigation of Bladder Cancer Data Based on CT, Whole Slide Image and Transcriptome
Peng Wu, Kai Wu, Zhe Li, Hanlin Liu, Kai Yang, Rong Zhou, Ziyu Zhou, Nianzeng Xing, Song Wu.
Quantitative Imaging in Medicine and Surgery, 2023.
A Method for Building an Intelligent Question-Answering System based on Bladder Cancer Knowledge Graph
Song Wu, Rong Zhou, Kai Yang.
Chinese Patent, 2022.
The Design and Implementation of Chinese-Uighur-English Online Dictionary Based on Knowledge Graph
Lirong Qiu, Huan Yang, Rong Zhou.
IEEE International Conference on Computational Science and Engineering and Embedded and Ubiquitous Computing (IEEE CSE and EUC), 2017.

Honors & Awards

2025 - Rossin Professional Development Program Fellowship
2025 - Lehigh AI Project Award
2024 - MLSys’24 Student Travel Award
2018 - The 2nd Class Academic Excellence Scholarship of MUC
2017 - The 2nd Class Academic Excellence Scholarship of MUC
2017 - The 1st Prize in the Electronic Works Competition of MUC
2016 - Excellence Award in National University Student Innovation Program
2016 - The 2nd Class Academic Excellence Scholarship of MUC
2015 - National Scholarship
2015 - The 2nd Class Academic Excellence Scholarship of MUC
2015 - The 2nd Prize in English Writing Competition of MUC
2013 - National 3rd Prize in the National Mathematical Olympiad in Senior