Xiang Li

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 88

Top Venues

CoRR

ISBI

IEEE BigData

IEEE Trans. Biomed. Eng.

University of Georgia, Athens, GA, USA (PHD)

Education History

University of Georgia, Athens, GA, USA

PHD

Publications

Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. CoRR (2024)
Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li
Contrastive Learning Via Equivariant Representation. CoRR (2024)
Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. CoRR (2024)
Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, Tianming Liu
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR (2024)
Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. CoRR (2024)
Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
Bora: Biomedical Generalist Video Generation Model. CoRR (2024)
Xiang Li, Jian Wang, Haifeng Wei, Jinyu Cong, Hongfu Sun, Pingping Wang, Benzheng Wei
MH2AFormer: An Efficient Multiscale Hierarchical Hybrid Attention With a Transformer for Bladder Wall and Tumor Segmentation. IEEE J. Biomed. Health Informatics 28 (8) (2024)
Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, Xiang Li
Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation. CoRR (2024)
Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. IEEE Trans. Artif. Intell. 5 (8) (2024)
Zhennong Chen, Hui Ren, Quanzheng Li, Xiang Li
Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach. Comput. Medical Imaging Graph. 115 (2024)
Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation. ACL (1) (2024)
Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
Eye-gaze Guided Multi-modal Alignment Framework for Radiology. CoRR (2024)
Yuanwei Wu, Yue Huang, Yixin Liu, Xiang Li, Pan Zhou, Limin Sun
Can Large Language Models Automatically Jailbreak GPT-4V? CoRR (2024)
Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. CoRR (2024)
Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104 (2024)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI (2023)
Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu
CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR (2023)
Jerome Charton, Hui Ren, Sekeun Kim, Carola Maraboto Gonzalez, Jay Khambhati, Justin Cheng, Jeena DeFrancesco, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Michael H. Picard, Xiang Li, Quanzheng Li
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification. ASMUS@MICCAI (2023)
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu
When Brain-inspired AI Meets AGI. CoRR (2023)
Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR (2023)
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) (2023)
Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics. CoRR (2023)
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM (2023)
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR (2023)
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR (2023)
Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li
SAMAug: Point Prompt Augmentation for Segment Anything Model. CoRR (2023)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. CoRR (2023)
Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Erik Steen, Eigil Samset, Michael H. Picard, Xiang Li, Quanzheng Li
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging. ASMUS@MICCAI (2022)
Homgmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR (2022)
Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70 (2021)
Mo Zhang, Hongwen Guo, Xiang Li
Using Keystroke Analytics to Understand Cognitive Processes during Writing. EDM (2021)
Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. CoRR (2021)
Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) (2020)
Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. ISBI (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI (2020)
Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR (2020)
Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study. IEEE Access 8 (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) (2020)
Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. IEEE BigData (2020)
Cuong Nguyen, Xin Li, R. D. Shawn Blanton, Xiang Li
Efficient Classification via Partial Co-Training for Virtual Metrology. ETFA (2020)
Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5 (2) (2019)
Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. CoRR (2019)
Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. ISBI (2019)
Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li
Novel Radiomic Features Based on Graph Theory for PET Image Analysis. ISBI (2019)
Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. IEEE BigData (2019)
Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66 (1) (2019)
Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang
Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model. ISBI (2019)
Xiang Li, Ning Guo, Quanzheng Li
Functional Neuroimaging in the New Era of Big Data. Genom. Proteom. Bioinform. 17 (4) (2019)
Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. MICCAI (4) (2019)
Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. CoRR (2019)
Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. CoRR (2019)
Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification. ISBI (2019)
Xiang Li, Qitian Chen, Xing Wang, Ning Guo, Nan Wu, Quanzheng Li
Network Modeling and Pathway Inference from Incomplete Data ("PathInf"). CoRR (2018)
Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. ISBI (2018)
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR (2018)
Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li
Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning. STACOM@MICCAI (2018)
Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li
Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning. CoRR (2018)
Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180 (Part) (2018)
Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) (2018)
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. MICCAI (4) (2018)
Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu
A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. Frontiers Neuroinformatics 12 (2018)
Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis. CoRR (2017)
Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh
Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis. MLMI@MICCAI (2017)
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net. CoRR (2017)
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR (2017)
Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. CoRR (2017)
Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI (2017)
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics 15 (3) (2017)
Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. CoRR (2017)
Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI (2017)
Shu Zhang, Xiang Li, Lei Guo, Tianming Liu
Exploring human brain activation via nested sparse coding and functional operators. ISBI (2017)
Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. KDD (2016)
Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. IEEE BigData (2016)
Xiang Li, Qinglin Dong, Xi Jiang, Jinglei Lv, Tianming Liu
Multple-demand system identification and characterization via sparse representations of fMRI data. ISBI (2016)
Cheng Lyu, Xiang Li, Jinglei Lv, Xintao Hu, Junwei Han, Lei Quo, Tianming Liu
Identifying group-wise consistent sub-networks via spatial sparse representation of natural stimulus FMRI data. ISBI (2016)
Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn
Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations. IEEE BigData (2016)
Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Hanchuan Peng, Joe Z. Tsien, Tianming Liu
Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding. MICCAI (1) (2016)
Yimin Hou, Ting Xiao, Shu Zhang, Xi Jiang, Xiang Li, Xintao Hu, Junwei Han, Lei Guo, L. Stephen Miller, Richard Neupert, Tianming Liu
Predicting Movie Trailer Viewer's "Like/Dislike" via Learned Shot Editing Patterns. IEEE Trans. Affect. Comput. 7 (1) (2016)
Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Tianming Liu
Modeling Functional Dynamics of Cortical Gyri and Sulci. MICCAI (1) (2016)
Xiang Li, Binbin Lin, Jinglei Lv, Jieping Ye, Tianming Liu
Modeling functional network dynamics via multi-scale dictionary learning and network continuums. ISBI (2016)
Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu
HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI). Brain Informatics 2 (4) (2015)
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Shu Zhang, Shijie Zhao, Hanbo Chen, Tuo Zhang, Xintao Hu, Junwei Han, Jieping Ye, Lei Guo, Tianming Liu
Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function. IEEE Trans. Biomed. Eng. 62 (4) (2015)
Zhichao Lian, Xiang Li, Yi Pan, Xuan Guo, Le Chen, Guantao Chen, Zhihui Wei, Tianming Liu, Jing Zhang
Dynamic Bayesian brain network partition and connectivity change point detection. ICCABS (2015)
Bao Ge, Jin Wang, Jinglei Lv, Shu Zhang, Shijie Zhao, Wei Zhang, Qinghua Zhao, Xiang Li, Xi Jiang, Junwei Han, Lei Guo, Tianming Liu
Signal sampling for efficient sparse representation of resting state FMRI data. ISBI (2015)
Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu
Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning. ISBI (2015)
Xiang Li, Zhi Zhou, Philipp Keller, Hongkui Zeng, Tianming Liu, Hanchuan Peng
Interactive exemplar-based segmentation toolkit for biomedical image analysis. ISBI (2015)
Jinglei Lv, Xi Jiang, Xiang Li, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Shu Zhang, Xintao Hu, Junwei Han, Heng Huang, Jing Zhang, Lei Guo, Tianming Liu
Sparse representation of whole-brain fMRI signals for identification of functional networks. Medical Image Anal. 20 (1) (2015)
Zhichao Lian, Xiang Li, Thomas Young, Yun Hao, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Tianming Liu, Jing Zhang
Dynamic network partition via Bayesian connectivity bi-partition change point model. ISBI (2014)
Zhichao Lian, Xiang Li, Jianchuan Xing, Jinglei Lv, Xi Jiang, Dajiang Zhu, Shu Zhang, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
Exploring functional brain dynamics via a Bayesian connectivity change point model. ISBI (2014)
Cheng Lv, Xintao Hu, Junwei Han, Gong Cheng, Xiang Li, Lei Guo, Tianming Liu
Exploring consistent functional brain networks during free viewing of videos via sparse representation. ISBI (2014)
Zhichao Lian, Jinglei Lv, Jianchuan Xing, Xiang Li, Xi Jiang, Dajiang Zhu, Jiansong Xu, Marc N. Potenza, Tianming Liu, Jing Zhang
Generalized fMRI activation detection via Bayesian magnitude change point model. ISBI (2014)
Zhichao Lian, Xiang Li, Hongmiao Zhang, Hui Kuang, Kun Xie, Jianchuan Xing, Dajiang Zhu, Joe Z. Tsien, Tianming Liu, Jing Zhang
Detecting cell assembly interaction patterns via Bayesian based change-point detection and graph inference model. ISBI (2014)

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Xiang Li