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2020 – today
- 2023
[j118]Shu Zhang
, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv:
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83: 102665 (2023)- [j117]Xi Jiang, Jiadong Yan, Yu Zhao, Mingxin Jiang, Yuzhong Chen, Jingchao Zhou, Zhenxiang Xiao, Zifan Wang, Rong Zhang, Benjamin Becker, Dajiang Zhu, Keith M. Kendrick, Tianming Liu:
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks 158: 99-110 (2023) - [j116]Xiaoyan Cai, Sen Liu, Junwei Han, Libin Yang, Zhenguo Liu, Tianming Liu:
ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization. IEEE Trans. Multim. 25: 845-855 (2023) - [i25]Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. CoRR abs/2301.12031 (2023) - [i24]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai:
Mask-guided BERT for Few Shot Text Classification. CoRR abs/2302.10447 (2023) - [i23]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i22]Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li:
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR abs/2303.11032 (2023) - 2022
- [j115]Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao:
Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. 223: 106979 (2022) - [j114]Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, Tianming Liu:
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. J. Biomed. Informatics 127: 103999 (2022) - [j113]Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu:
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Medical Image Anal. 77: 102316 (2022) - [j112]Jiadong Yan, Yuzhong Chen, Zhenxiang Xiao, Shu Zhang, Mingxin Jiang, Tianqi Wang, Tuo Zhang, Jinglei Lv, Benjamin Becker, Rong Zhang, Dajiang Zhu, Junwei Han, Dezhong Yao, Keith M. Kendrick, Tianming Liu, Xi Jiang:
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 80: 102518 (2022) - [j111]Tianji Pang, Shijie Zhao, Junwei Han, Shu Zhang, Lei Guo, Tianming Liu:
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition. Medical Image Anal. 82: 102570 (2022) - [j110]Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Yue Zhou, Lin Cheng, Tianming Liu, Dinggang Shen:
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound. Medical Image Anal. 82: 102589 (2022) - [j109]Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu:
Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience. IEEE Trans. Cogn. Dev. Syst. 14(1): 156-163 (2022) - [j108]Qing Li, Wei Zhang, Lin Zhao, Xia Wu, Tianming Liu:
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. IEEE Trans. Biomed. Eng. 69(2): 624-634 (2022) - [j107]Wenhao Li, Zhan Zhang, Yanjun Shu, Hongwei Liu, Tianming Liu:
Toward optimal operator parallelism for stream processing topology with limited buffers. J. Supercomput. 78(11): 13276-13297 (2022) - [j106]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 41(7): 1688-1698 (2022) - [j105]Xian Zhan, Tianming Liu, Lingling Fan, Li Li, Sen Chen, Xiapu Luo, Yang Liu:
Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review. IEEE Trans. Software Eng. 48(10): 4181-4213 (2022) - [j104]Xian Zhan, Tianming Liu, Yepang Liu, Yang Liu, Li Li, Haoyu Wang, Xiapu Luo:
A Systematic Assessment on Android Third-Party Library Detection Tools. IEEE Trans. Software Eng. 48(11): 4249-4273 (2022) - [c207]Tianming Liu:
The Spectacle Tendency of Contemporary Art-Reflections on Information Art. HCI (11) 2022: 240-254 - [c206]Changlin Liu, Hanlin Wang, Tianming Liu, Diandian Gu, Yun Ma, Haoyu Wang, Xusheng Xiao:
PROMAL: Precise Window Transition Graphs for Android via Synergy of Program Analysis and Machine Learning. ICSE 2022: 1755-1767 - [c205]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li:
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. IJCAI 2022: 5150-5156 - [c204]Gongzheng Tang, Tianming Liu, Xunsheng Cai, Sida Gao, Lijun Fu:
Standardization of clinical terminology based on hybrid recall and Ernie. ISAIMS 2022: 19-23 - [c203]Tianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao:
Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network. MICCAI (1) 2022: 251-260 - [c202]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c201]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c200]Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu:
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI 2022: 279-287 - [c199]Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Embedding Human Brain Function via Transformer. MICCAI (1) 2022: 366-375 - [i21]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. CoRR abs/2204.02976 (2022) - [i20]Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers. CoRR abs/2204.09225 (2022) - [i19]Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge:
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. CoRR abs/2205.09576 (2022) - [i18]Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang:
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR abs/2205.09995 (2022) - [i17]Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR abs/2205.10605 (2022) - [i16]Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - [i15]Yan Lin, Tianming Liu, Wei Liu, Zhigaoyuan Wang, Li Li, Guoai Xu, Haoyu Wang:
Dataset Bias in Android Malware Detection. CoRR abs/2205.15532 (2022) - [i14]Chong Ma, Lin Zhao, Yuzhong Chen, David Weizhong Liu, Xi Jiang, Tuo Zhang, Xintao Hu, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. CoRR abs/2206.08567 (2022) - [i13]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. CoRR abs/2206.10821 (2022) - [i12]Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang:
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers. CoRR abs/2206.11073 (2022) - [i11]Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu:
BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR abs/2210.15790 (2022) - [i10]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. CoRR abs/2211.02315 (2022) - [i9]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 abs/2211.02849 (2022) - 2021
- [j103]Xintong Han, Jun Mou, Li Xiong, Chenguang Ma, Tianming Liu, Yinghong Cao:
Coexistence of infinite attractors in a fractional-order chaotic system with two nonlinear functions and its DSP implementation. Integr. 81: 43-55 (2021) - [j102]Qing Li, Xia Wu, Tianming Liu:
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition. Medical Image Anal. 69: 101974 (2021) - [j101]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j100]Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu:
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 841-852 (2021) - [j99]Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu:
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19. IEEE J. Biomed. Health Informatics 25(5): 1347-1357 (2021) - [c198]Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, Yang Liu:
ATVHUNTER: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications. ICSE 2021: 1695-1707 - [c197]Yudan Ren, Zeyang Tao, Wei Zhang, Tianming Liu:
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. ISBI 2021: 130-134 - [c196]Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. MICCAI (7) 2021: 564-573 - [c195]Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. MICCAI (7) 2021: 701-709 - [c194]Jiadong Yan, Yu Zhao, Mingxin Jiang, Shu Zhang, Tuo Zhang, Shimin Yang, Yuzhong Chen, Zhongbo Zhao, Zhibin He, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. PRCV (3) 2021: 350-361 - [i8]Xian Zhan, Lingling Fan, Sen Chen, Feng Wu, Tianming Liu, Xiapu Luo, Yang Liu:
ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications. CoRR abs/2102.08172 (2021) - [i7]Xian Zhan, Tianming Liu, Yepang Liu, Yang Liu, Li Li, Haoyu Wang, Xiapu Luo:
A Systematic Assessment on Android Third-party Library Detection Tools. CoRR abs/2108.01964 (2021) - [i6]Xian Zhan, Tianming Liu, Lingling Fan, Li Li, Sen Chen, Xiapu Luo, Yang Liu:
Research on Third-Party Libraries in AndroidApps: A Taxonomy and Systematic LiteratureReview. CoRR abs/2108.03787 (2021) - 2020
- [j98]Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv:
Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access 8: 69967-69978 (2020) - [j97]Tianming Liu, Jiawu Yu, Huizhen Yan, Jun Mou:
A Fractional-Order Chaotic System With Infinite Attractor Coexistence and its DSP Implementation. IEEE Access 8: 199852-199863 (2020) - [j96]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j95]Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu:
Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. 83: 101747 (2020) - [j94]Tuo Zhang, Ying Huang, Lin Zhao, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu:
Identifying Cross-individual Correspondences of 3-hinge Gyri. Medical Image Anal. 63: 101700 (2020) - [j93]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): 451-460 (2020) - [j92]Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder. IEEE Trans. Cogn. Dev. Syst. 12(4): 733-743 (2020) - [j91]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [j90]Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu:
Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 536-546 (2020) - [c193]Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu:
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. ISBI 2020: 554-557 - [c192]Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu:
Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. ISBI 2020: 1399-1403 - [c191]Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge:
Task fMRI Guided Fiber Clustering via a Deep Clustering Method. ISBI 2020: 1420-1423 - [c190]Zeyang Tao, Yudan Ren, Wei Zhang, Tianming Liu:
Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search. ISICDM 2020: 130-134 - [c189]Xian Zhan, Lingling Fan, Tianming Liu, Sen Chen, Li Li, Haoyu Wang, Yifei Xu, Xiapu Luo, Yang Liu:
Automated Third-Party Library Detection for Android Applications: Are We There Yet? ASE 2020: 919-930 - [c188]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: 21-29 - [c187]Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du:
Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. MICCAI (7) 2020: 94-103 - [c186]Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. MLMI@MICCAI 2020: 250-259 - [c185]Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu:
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) 2020: 377-386 - [c184]Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c183]Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang:
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. MLMI@MICCAI 2020: 465-473 - [c182]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) 2020: 498-507 - [c181]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) 2020: 508-517 - [c180]Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein:
MadDroid: Characterizing and Detecting Devious Ad Contents for Android Apps. WWW 2020: 1715-1726 - [i5]Tianming Liu, Haoyu Wang, Li Li, Xiapu Luo, Feng Dong, Yao Guo, Liu Wang, Tegawendé F. Bissyandé, Jacques Klein:
MadDroid: Characterising and Detecting Devious Ad Content for Android Apps. CoRR abs/2002.01656 (2020)
2010 – 2019
- 2019
- [j89]Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu:
Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker. IEEE Access 7: 155313-155324 (2019) - [j88]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j87]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j86]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): 109-119 (2019) - [j85]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): 289-299 (2019) - [j84]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [j83]Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network. IEEE J. Biomed. Health Informatics 23(6): 2515-2525 (2019) - [j82]Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu:
Recognizing Brain States Using Deep Sparse Recurrent Neural Network. IEEE Trans. Medical Imaging 38(4): 1058-1068 (2019) - [c179]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c178]Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu:
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI 2019: 1576-1580 - [c177]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c176]Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
A Task Performance-guided Model of Functional Networks Identification. ISBI 2019: 1590-1593 - [c175]Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu:
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI. ISBI 2019: 1594-1597 - [c174]Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu:
Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. ISBI 2019: 1788-1791 - [c173]Tianming Liu, Haoyu Wang, Li Li, Guangdong Bai, Yao Guo, Guoai Xu:
DaPanda: Detecting Aggressive Push Notifications in Android Apps. ASE 2019: 66-78 - [c172]Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu:
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. MMMI@MICCAI 2019: 26-34 - [c171]Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang:
Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. MBIA/MFCA@MICCAI 2019: 49-56 - [c170]Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains. MBIA/MFCA@MICCAI 2019: 57-65 - [c169]Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. MBIA/MFCA@MICCAI 2019: 66-74 - [c168]Wei Suo, Xintao Hu, Bowei Yan, Mengyang Sun, Lei Guo, Junwei Han, Tianming Liu:
3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data. MBIA/MFCA@MICCAI 2019: 75-83 - [c167]Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu:
Group-Wise Graph Matching of Cortical Gyral Hinges. MICCAI (4) 2019: 75-83 - [c166]Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang:
Multi-view Graph Matching of Cortical Landmarks. MICCAI (4) 2019: 84-92 - [c165]Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu:
Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. MICCAI (3) 2019: 745-753 - [e9]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0 [contents] - [e8]