The Design and Implementation of Chinese-Uighur-English Online Dictionary Based on Knowledge Graph. - Lirong Qiu; Huan Yang; Rong Zhou 007 (CSE/EUC (1), 2017)

Normative Modeling via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. - Xuetong Wang; Kanhao Zhao; Rong Zhou 007; Alex D. Leow; Ricardo Osorio; Yu Zhang 009; Lifang He 001 (CoRR, 2022)

Integrating Multimodal Contrastive Learning and Cross-Modal Attention for Alzheimer's Disease Prediction in Brain Imaging Genetics. - Rong Zhou 007; Houliang Zhou; Li Shen 001; Brian Y. Chen; Yu Zhang 009; Lifang He 001 (BIBM, 2023)

Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease. - Xuetong Wang; Rong Zhou 007; Kanhao Zhao; Alex D. Leow; Yu Zhang 009; Lifang He 001 (ISBI, 2023)

Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer's Disease Using Multimodal Imaging Genetics. - Rong Zhou 007; Houliang Zhou; Brian Y. Chen; Li Shen 001; Yu Zhang 009; Lifang He 001 (MICCAI (2), 2023)

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. - Zhiling Yan; Kai Zhang 039; Rong Zhou 007; Lifang He 001; Xiang Li 001; Lichao Sun 001 (CoRR, 2023)

Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer's Disease Diagnosis and Biomarker Identification. - Songlin Zhao; Rong Zhou 007; Yu Zhang 009; Yong Chen 016; Lifang He 001 (AMAI@MICCAI, 2024)

TGNet: tensor-based graph convolutional networks for multimodal brain network analysis. - Zhaoming Kong; Rong Zhou 007; Xinwei Luo; Songlin Zhao; Ann B. Ragin; Alex D. Leow; Lifang He 001 (BioData Min., 2024)

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. - Jun Yu; Yutong Dai 002; Xiaokang Liu; Jin Huang; Yishan Shen; Ke Zhang; Rong Zhou 007; Eashan Adhikarla; Wenxuan Ye; Yixin Liu 002; Zhaoming Kong; Kai Zhang 039; et al. (CoRR, 2024)

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. - Zhengqing Yuan; Rong Zhou 007; Hongyi Wang 001; Lifang He 001; Yanfang Ye 001; Lichao Sun 001 (CoRR, 2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. - Zhiling Yan; Weixiang Sun; Rong Zhou 007; Zhengqing Yuan; Kai Zhang 039; Yiwei Li 002; Tianming Liu 001; Quanzheng Li; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. - Rong Zhou 007; Zhengqing Yuan; Zhiling Yan; Weixiang Sun; Kai Zhang 039; Yiwei Li 002; Yanfang Ye 001; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Normative Modeling for AD Diagnosis and Biomarker Identification. - Songlin Zhao; Rong Zhou 007; Yu Zhang 009; Yong Chen 016; Lifang He 001 (CoRR, 2024)

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model. - Zhiling Yan; Sifan Song; Dingjie Song; Yiwei Li 002; Rong Zhou 007; Weixiang Sun; Zhennong Chen; Sekeun Kim; Hui Ren 001; Tianming Liu 001; Quanzheng Li; Xiang Li 001; et al. (MICCAI (13), 2025)

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis. - Xinpeng Wang; Rong Zhou 007; Han Xie; Xiaoying Tang; Lifang He 001; Carl Yang 001 (CoRR, 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou 007; Yurou Dai; Wen Yin 001; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou 007; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks. - Houliang Zhou; Rong Zhou 007; Yangying Liu; Kanhao Zhao; Li Shen 001; Brian Y. Chen; Yu Zhang 009; Lifang He 001; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2025)

Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation. - Rong Zhou 007; Houliang Zhou; Yao Su 003; Brian Y. Chen; Yu Zhang 009; Lifang He 001 (ISBI, 2026)

Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models. - Rong Zhou 007; Dongping Chen; Zihan Jia; Yao Su 003; Yixin Liu 002; Yiwen Lu; Dongwei Shi; Yue Huang 001; Tianyang Xu; Yi Pan 001; Xinliang Li; Yohannes Abate; et al. (CoRR, 2026)

Diffusion-Guided Pretraining for Brain Graph Foundation Models. - Xinxu Wei; Rong Zhou 007; Lifang He 001; Yu Zhang (CoRR, 2026)

Adaptive Clinical-Aware Latent Diffusion for Multimodal Brain Image Generation and Missing Modality Imputation. - Rong Zhou 007; Houliang Zhou; Yao Su 003; Brian Y. Chen; Yu Zhang 009; Lifang He 001; Alzheimer's Disease Neuroimaging Initiative (CoRR, 2026)