How to Measure Sessions of Mobile Device Use? Quantification, Evaluation, and Applications. - Jonathan J. H. Zhu; Hexin Chen; Tai-Quan Peng; Xiao Fan Liu; Haixing Dai (CoRR, 2017)

Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. - Yu Zhao 007; Haixing Dai; Wei Zhang 090; Fangfei Ge; Tianming Liu 001 (ISBI, 2019)

Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. - Haixing Dai; Fangfei Ge; Qing Li 027; Wei Zhang 090; Tianming Liu 001 (ISBI, 2020)

Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. - Mingxin Jiang; Shimin Yang; Jiadong Yan; Shu Zhang 001; Huan Liu 006; Lin Zhao 004; Haixing Dai; Jinglei Lv; Tuo Zhang; Tianming Liu 001; Keith M. Kendrick; Xi Jiang 001 (MLMI@MICCAI, 2020)

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. - Wei Zhang 090; Shijie Zhao 001; Xintao Hu; Qinglin Dong; Heng Huang; Shu Zhang 001; Yu Zhao 007; Haixing Dai; Fangfei Ge; Lei Guo 002; Tianming Liu 001 (Brain Connect., 2020)

Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. - Lin Zhao 004; Haixing Dai; Xi Jiang 001; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (MICCAI (7), 2021)

Predicting hyperlinks via hypernetwork loop structure. - Liming Pan; Hui-Juan Shang; Peiyan Li; Haixing Dai; Wei Wang 070; Lixin Tian (CoRR, 2021)

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. - Haixing Dai; Qing Li 027; Lin Zhao 004; Liming Pan; Cheng Shi; Zhengliang Liu; Zihao Wu 001; Lu Zhang 050; Shijie Zhao 001; Xia Wu 001; Tianming Liu 001; Dajiang Zhu (MLMI@MICCAI, 2022)

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. - Saed Rezayi; Haixing Dai; Zhengliang Liu; Zihao Wu 001; Akarsh Hebbar; Andrew H. Burns; Lin Zhao 004; Dajiang Zhu; Quanzheng Li; Wei Liu 146; Sheng Li 001; Tianming Liu 001; et al. (MLMI@MICCAI, 2022)

Embedding Human Brain Function via Transformer. - Lin Zhao 004; Zihao Wu 001; Haixing Dai; Zhengliang Liu; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (MICCAI (1), 2022)

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Lin Zhao 004; Lu Zhang 050; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2022)

Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. - Chong Ma; Lin Zhao 004; Yuzhong Chen; Lu Zhang 050; Zhenxiang Xiao; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Zhengliang Liu; Sheng Wang 014; Jiaxing Gao; Changhe Li; et al. (CoRR, 2022)

BI AVAN: Brain inspired Adversarial Visual Attention Network. - Heng Huang; Lin Zhao 004; Xintao Hu; Haixing Dai; Lu Zhang 050; Dajiang Zhu; Tianming Liu 001 (CoRR, 2022)

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. - Qing Li 027; Haixing Dai; Jinglei Lv; Lin Zhao 004; Zhengliang Liu; Zihao Wu 001; Xia Wu 001; Claire Coles; Xiaoping Hu 001; Tianming Liu 001; Dajiang Zhu (ADMA (3), 2023)

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. - Wenxiong Liao; Zhengliang Liu; Yiyang Zhang 003; Xiaoke Huang; Fei Qi 007; Siqi Ding; Hui Ren 001; Zihao Wu 001; Haixing Dai; Sheng Li 001; Lingfei Wu 001; Ninghao Liu; et al. (BIBM, 2023)

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (BI, 2023)

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Mask-guided BERT for Few Shot Text Classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; Dajiang Zhu; Tianming Liu 001; Sheng Li 001; Xiang Li 001; et al. (CoRR, 2023)

ChatAug: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Zihao Wu 001; Lin Zhao 004; Wei Liu 146; Ninghao Liu; Sheng Li 001; Dajiang Zhu; Hongmin Cai; Quanzheng Li; et al. (CoRR, 2023)

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. - Zhengliang Liu; Xiaowei Yu; Lu Zhang 050; Zihao Wu 001; Chao Cao; Haixing Dai; Lin Zhao 004; Wei Liu 146; Dinggang Shen; Quanzheng Li; Tianming Liu 001; Dajiang Zhu; et al. (CoRR, 2023)

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers. - Xiaowei Yu; Lu Zhang 050; Haixing Dai; Yanjun Lyu; Lin Zhao 004; Zihao Wu 001; David Liu; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

When Brain-inspired AI Meets AGI. - Lin Zhao 004; Lu Zhang 050; Zihao Wu 001; Yuzhong Chen; Haixing Dai; Xiaowei Yu; Zhengliang Liu; Tuo Zhang; Xintao Hu; Xi Jiang 001; Xiang Li 001; Dajiang Zhu; et al. (CoRR, 2023)

AGI for Agriculture. - Guoyu Lu; Sheng Li 001; Gengchen Mai; Jin Sun 011; Dajiang Zhu; Lilong Chai; Haijian Sun; Xianqiao Wang; Haixing Dai; Ninghao Liu; Rui Xu 018; Daniel Petti; et al. (CoRR, 2023)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Haixing Dai; Chong Ma; Zhengliang Liu; Lin Zhao 004; Gang Li 001; Wei Liu 146; Quanzheng Li; Dinggang Shen; et al. (CoRR, 2023)

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network. - Lin Zhao 004; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Tianming Liu 001 (CoRR, 2023)

Differentiate ChatGPT-generated and Human-written Medical Texts. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Shaochen Xu; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Dajiang Zhu; Hongmin Cai; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Prompt Engineering for Healthcare: Methodologies and Applications. - Jiaqi Wang 010; Enze Shi; Sigang Yu; Zihao Wu 001; Chong Ma; Haixing Dai; Qiushi Yang; Yanqing Kang; Jinru Wu; Huawen Hu; Chenxi Yue; Haiyang Zhang; et al. (CoRR, 2023)

SAM for Poultry Science. - Xiao Yang; Haixing Dai; Zihao Wu 001; Ramesh Bist; Sachin Subedi; Jin Sun 011; Guoyu Lu; Changying Li; Tianming Liu 001; Lilong Chai (CoRR, 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. - Haixing Dai; Yiwei Li 002; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Suhang Song; Ye Shen; Dajiang Zhu; Xiang Li 001; Sheng Li 001; Xiaobai Angela Yao; Lu Shi; et al. (CoRR, 2023)

Segment Anything Model (SAM) for Radiation Oncology. - Lian Zhang; Zhengliang Liu; Lu Zhang 050; Zihao Wu 001; Xiaowei Yu; Jason Holmes; Hongying Feng; Haixing Dai; Xiang Li 001; Quanzheng Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2023)

Review of Large Vision Models and Visual Prompt Engineering. - Jiaqi Wang 010; Zhengliang Liu; Lin Zhao 004; Zihao Wu 001; Chong Ma; Sigang Yu; Haixing Dai; Qiushi Yang; Yiheng Liu; Songyao Zhang; Enze Shi; Yi Pan 001; et al. (CoRR, 2023)

SAMAug: Point Prompt Augmentation for Segment Anything Model. - Haixing Dai; Chong Ma; Zhengliang Liu; Yiwei Li 002; Peng Shu; Xiaozheng Wei; Lin Zhao 004; Zihao Wu 001; Dajiang Zhu; Wei Liu 146; Quanzheng Li; Tianming Liu 001; et al. (CoRR, 2023)

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (CoRR, 2023)

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. - Hongmin Cai; Xiaoke Huang; Zhengliang Liu; Wenxiong Liao; Haixing Dai; Zihao Wu 001; Dajiang Zhu; Hui Ren 001; Quanzheng Li; Tianming Liu 001; Xiang Li 001 (CoRR, 2023)

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification. - Haixing Dai; Lu Zhang 050; Lin Zhao 004; Zihao Wu 001; Zhengliang Liu; David Liu; Xiaowei Yu; Yanjun Lyu; Changying Li; Ninghao Liu; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

PharmacyGPT: The AI Pharmacist. - Zhengliang Liu; Zihao Wu 001; Mengxuan Hu; Bokai Zhao; Lin Zhao 004; Tianyi Zhang; Haixing Dai; Xianyan Chen; Ye Shen; Sheng Li 001; Brian Murray; Tianming Liu 001; et al. (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. - Tianyang Zhong; Wei Zhao 040; Yutong Zhang; Yi Pan 001; Peixin Dong; Zuowei Jiang; Xiaoyan Kui; Youlan Shang; Li Yang; Yaonai Wei; Longtao Yang; Hao Chen 011; et al. (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

A generic framework for embedding human brain function with temporally correlated autoencoder. - Lin Zhao 004; Zihao Wu 001; Haixing Dai; Zhengliang Liu; Xintao Hu; Tuo Zhang; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2023)

An innovative segment anything model for precision poultry monitoring. - Xiao Yang; Haixing Dai; Zihao Wu 001; Ramesh Bist; Sachin Subedi; Jin Sun 011; Guoyu Lu; Changying Li; Tianming Liu 001; Lilong Chai (Comput. Electron. Agric., 2024)

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. - Jiaqi Wang 010; Zihao Wu 001; Yiwei Li 002; Hanqi Jiang; Peng Shu; Enze Shi; Huawen Hu; Chong Ma; Yiheng Liu; Xuhui Wang; Yincheng Yao; Xuan Liu; et al. (CoRR, 2024)

Revolutionizing Finance with LLMs: An Overview of Applications and Insights. - Huaqin Zhao; Zhengliang Liu; Zihao Wu 001; Yiwei Li 002; Tianze Yang; Peng Shu; Shaochen Xu; Haixing Dai; Lin Zhao 004; Gengchen Mai; Ninghao Liu; Tianming Liu 001 (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

Mask-guided BERT for few-shot text classification. - Wenxiong Liao; Zhengliang Liu; Haixing Dai; Zihao Wu 001; Yiyang Zhang 003; Xiaoke Huang; Yuzhong Chen; Xi Jiang 001; David Liu; Dajiang Zhu; Sheng Li 001; Wei Liu 146; et al. (Neurocomputing, 2024)

BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. - Heng Huang; Lin Zhao 004; Haixing Dai; Lu Zhang 050; Xintao Hu; Dajiang Zhu; Tianming Liu 001 (IEEE Trans. Multim., 2024)

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. - Lin Zhao 004; Haixing Dai; Zihao Wu 001; Zhenxiang Xiao; Lu Zhang 050; David Weizhong Liu; Xintao Hu; Xi Jiang 001; Sheng Li 001; Dajiang Zhu; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. - Lu Zhang 050; Zhengwang Wu; Xiaowei Yu; Yanjun Lyu; Zihao Wu 001; Haixing Dai; Lin Zhao 004; Li Wang 026; Gang Li 001; Xianqiao Wang; Tianming Liu 001; Dajiang Zhu (Medical Image Anal., 2025)

Mask-Guided Vision Transformer for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Yi Pan 001; Lin Zhao 004; Haixing Dai; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; Xi Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

AugGPT: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu 001; Lin Zhao 004; Shaochen Xu; Fang Zeng; Wei Liu 146; Ninghao Liu; Sheng Li 001; et al. (IEEE Trans. Big Data, 2025)

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. - Saed Rezayi; Zhengliang Liu; Zihao Wu 001; Chandra Dhakal; Bao Ge; Haixing Dai; Gengchen Mai; Ninghao Liu; Chen Zhen; Tianming Liu 001; Sheng Li 001 (IEEE Trans. Big Data, 2025)

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. - Zihao Wu 001; Lu Zhang 050; Chao Cao; Xiaowei Yu; Zhengliang Liu; Lin Zhao 004; Yiwei Li 002; Haixing Dai; Chong Ma; Gang Li 001; Wei Liu 146; Quanzheng Li; et al. (IEEE Trans. Big Data, 2025)