Distribution of Prostrate Cancer for Optimized Biopsy Protocols. - Jianchao Zeng 002; John J. Bauer; Ariela Sofer; Xiaohu Yao; Brett Opell; Wei Zhang 090; Isabell A. Sesterhenn; Judd W. Moul; John H. Lynch; Seong Ki Mun (MICCAI, 2000)

Probability of cancer detection with optimized prostate biopsy protocols. - Jianchao Zeng 002; Ariela Sofer; John J. Bauer; Wei Zhang 090; Isabell A. Sesterhenn; Judd W. Moul; Seong Ki Mun (Image-Guided Procedures, 2001)

Development and evaluation of optimal prostate biopsy protocols for individual groups of patients. - Jianchao Zeng 002; Ariela Sofer; Wei Zhang 090; Leon Sun; Isabell A. Sesterhenn; Judd W. Moul; Seong Ki Mun; Mohamed F. Chouikha (CARS, 2004)

Optimized prostate biopsy via a statistical atlas of cancer spatial distribution. - Dinggang Shen; Zhiqiang Lao; Jianchao Zeng 002; Wei Zhang 090; Isabell A. Sesterhenn; Leon Sun; Judd W. Moul; Edward Herskovits; Gabor Fichtinger; Christos Davatzikos (Medical Image Anal., 2004)

Signal sampling for efficient sparse representation of resting state FMRI data. - Bao Ge; Jin Wang; Jinglei Lv; Shu Zhang 001; Shijie Zhao 001; Wei Zhang 090; Qinghua Zhao; Xiang Li 001; Xi Jiang 001; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (ISBI, 2015)

Modeling Task FMRI Data via Supervised Stochastic Coordinate Coding. - Jinglei Lv; Binbin Lin; Wei Zhang 090; Xi Jiang 001; Xintao Hu; Junwei Han 001; Lei Guo 002; Jieping Ye; Tianming Liu 001 (MICCAI (1), 2015)

Modeling Functional Dynamics of Cortical Gyri and Sulci. - Xi Jiang 001; Xiang Li 001; Jinglei Lv; Shijie Zhao 001; Shu Zhang 001; Wei Zhang 090; Tuo Zhang; Tianming Liu 001 (MICCAI (1), 2016)

A novel framework for groupwise registration of fMRI images based on common functional networks. - Yu Zhao 007; Shu Zhang 001; Hanbo Chen; Wei Zhang 090; Jinglei Lv; Xi Jiang 001; Dinggang Shen; Tianming Liu 001 (ISBI, 2017)

Task fMRI data analysis based on supervised stochastic coordinate coding. - Jinglei Lv; Binbin Lin; Qingyang Li 001; Wei Zhang 090; Yu Zhao 007; Xi Jiang 001; Lei Guo 002; Junwei Han 001; Xintao Hu; Christine Cong Guo; Jieping Ye; Tianming Liu 001 (Medical Image Anal., 2017)

Latent source mining of fMRI data via deep belief network. - Lei Li; Xintao Hu; Heng Huang; Chunlin He; Liting Wang; Junwei Han 001; Lei Quo; Wei Zhang 090; Tianming Liu 001 (ISBI, 2018)

Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. - Wei Zhang 090; Jinglei Lv; Shu Zhang 001; Yu Zhao 007; Tianming Liu 001 (ISBI, 2018)

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). - Yu Zhao 007; Xiang Li 001; Wei Zhang 090; Shijie Zhao 001; Milad Makkie; Mo Zhang; Quanzheng Li; Tianming Liu 001 (MICCAI (3), 2018)

Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. - Jing Yuan 004; Xiang Li 001; Jinhe Zhang; Liao Luo; Qinglin Dong; Jinglei Lv; Yu Zhao 007; Xi Jiang 001; Shu Zhang 001; Wei Zhang 090; Tianming Liu 001 (NeuroImage, 2018)

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. - Xi Jiang 001; Xiang Li 001; Jinglei Lv; Shijie Zhao 001; Shu Zhang 001; Wei Zhang 090; Tuo Zhang; Junwei Han 001; Lei Guo 002; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2018)

Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. - Yu Zhao 007; Qinglin Dong; Shu Zhang 001; Wei Zhang 090; Hanbo Chen; Xi Jiang 001; Lei Guo 002; Xintao Hu; Junwei Han 001; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2018)

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)

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. - Wei Zhang 090; Lin Zhao 004; Qing Li 027; Shijie Zhao 001; Qinglin Dong; Xi Jiang 001; Tuo Zhang; Tianming Liu 001 (MICCAI (3), 2019)

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. - Shijie Zhao 001; Yan Cui 005; Yaowu Chen; Xin Zhang 013; Wei Zhang 090; Huan Liu 006; Junwei Han 001; Lei Guo 002; Li Xie; Tianming Liu 001 (MBIA/MFCA@MICCAI, 2019)

Discovering hierarchical common brain networks via multimodal deep belief network. - Shu Zhang 001; Qinglin Dong; Wei Zhang 090; Heng Huang; Dajiang Zhu; Tianming Liu 001 (Medical Image Anal., 2019)

Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. - Wei Zhang 090; Jinglei Lv; Xiang Li 001; Dajiang Zhu; Xi Jiang 001; Shu Zhang 001; Yu Zhao 007; Lei Guo 002; Jieping Ye; Dewen Hu; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 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)

Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search. - Zeyang Tao; Yudan Ren; Wei Zhang 090; Tianming Liu 001 (ISICDM, 2020)

Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. - Qing Li 027; Wei Zhang 090; Jinglei Lv; Xia Wu 001; Tianming Liu 001 (MICCAI (7), 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)

Modeling task-based fMRI data via deep belief network with neural architecture search. - Ning Qiang; Qinglin Dong; Wei Zhang 090; Bao Ge; Fangfei Ge; Hongtao Liang; Yifei Sun; Jie Gao 016; Tianming Liu 001 (Comput. Medical Imaging Graph., 2020)

Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). - Yu Zhao 007; Xiang Li 001; Heng Huang; Wei Zhang 090; Shijie Zhao 001; Milad Makkie; Mo Zhang; Quanzheng Li; Tianming Liu 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. - Yudan Ren; Zeyang Tao; Wei Zhang 090; Tianming Liu 001 (ISBI, 2021)

SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer. - Wei Zhang 090; Yu Bao (CoRR, 2022)

DEMAND: Deep Matrix Approximately Nonlinear Decomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain. - Wei Zhang 090; Yu Bao (CoRR, 2022)

DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain. - Wei Zhang 090; Yu Bao (CoRR, 2022)

SENDER: SEmi-Nonlinear Deep Efficient Reconstructor for Extraction Canonical, Meta, and Sub Functional Connectivity in the Human Brain. - Wei Zhang 090; Yu Bao (CoRR, 2022)

Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. - Qing Li 027; Wei Zhang 090; Lin Zhao 004; Xia Wu 001; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2022)

Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain. - Wei Zhang 090; Xi Jiang 001; Shijie Zhao 001; Ning Qiang; Yu Bao; Jinglei Lv (MCHM@MM, 2024)

Predicting Human Brain States with Transformer. - Yifei Sun; Mariano Cabezas; Jiah Lee; Chenyu Wang 001; Wei Zhang 090; Fernando Calamante; Jinglei Lv (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Enhancing LLM's Cognition via Structurization. - Kai Liu 023; Zhihang Fu; Chao Chen 026; Wei Zhang 090; Rongxin Jiang 001; Fan Zhou 007; Yaowu Chen; Yue Wu; Jieping Ye (NeurIPS, 2024)

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. - Jiaqi Wang 010; Hanqi Jiang; Yiheng Liu; Chong Ma; Xu Zhang; Yi Pan 001; Mengyuan Liu; Peiran Gu; Sichen Xia; Wenjun Li 001; Yutong Zhang; Zihao Wu 001; et al. (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)

Analyzing Nobel Prize Literature with Large Language Models. - Zhenyuan Yang; Zhengliang Liu; Jian Zhang; Cen Lu; Jiaxin Tai; Tianyang Zhong; Yiwei Li 002; Siyan Zhao; Teng Yao; Qing Liu; Jinlin Yang; Qixin Liu; et al. (CoRR, 2024)

Brain-like Functional Organization within Large Language Models. - Haiyang Sun; Lin Zhao 004; Zihao Wu 001; Xiaohui Gao; Yutao Hu; Mengfei Zuo; Wei Zhang 090; Junwei Han 001; Tianming Liu 001; Xintao Hu (CoRR, 2024)

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios. - Shaochen Xu; Yifan Zhou; Zhengliang Liu; Zihao Wu 001; Tianyang Zhong; Huaqin Zhao; Yiwei Li 002; Hanqi Jiang; Yi Pan 001; Junhao Chen; Jin Lu 001; Wei Zhang 090; et al. (CoRR, 2024)

Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI. - Shizhe Liang; Wei Zhang 090; Tianyang Zhong; Tianming Liu 001 (CoRR, 2024)

Structure-aware Domain Knowledge Injection for Large Language Models. - Kai Liu 023; Ze Chen 001; Zhihang Fu; Wei Zhang 090; Rongxin Jiang 001; Fan Zhou 007; Yaowu Chen; Yue Wu; Jieping Ye (ACL (1), 2025)

Large Language Models for Bioinformatics. - Wei Ruan; Yanjun Lyu; Jing Zhang 010; Jiazhang Cai; Peng Shu; Yang Ge; Yao Lu; Shang Gao; Yue Wang; Peilong Wang; Lin Zhao 004; Tao Wang; et al. (CoRR, 2025)

Unveiling the Mathematical Reasoning in DeepSeek Models: A Comparative Study of Large Language Models. - Afrar Jahin; Arif Hassan Zidan; Yu Bao; Shizhe Liang; Tianming Liu 001; Wei Zhang 090 (CoRR, 2025)

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions. - Luyang Fang; Xiaowei Yu; Jiazhang Cai; Yongkai Chen; Shushan Wu; Zhengliang Liu; Zhenyuan Yang; Haoran Lu; Xilin Gong; Yufang Liu; Terry Ma; Wei Ruan; et al. (CoRR, 2025)

HOME-3: High-Order Momentum Estimator with Third-Power Gradient for Convex and Smooth Nonconvex Optimization. - Wei Zhang 090; Arif Hassan Zidan; Afrar Jahin; Yu Bao; Tianming Liu 001 (CoRR, 2025)

Permutation Randomization on Nonsmooth Nonconvex Optimization: A Theoretical and Experimental Study. - Wei Zhang 090; Arif Hassan Zidan; Afrar Jahin; Yu Bao; Tianming Liu 001 (CoRR, 2025)

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems. - Sohan Shankar; Yi Pan 001; Hanqi Jiang; Zhengliang Liu; Mohammad R. Darbandi; Agustin Lorenzo; Junhao Chen; Md Mehedi Hasan; Arif Hassan Zidan; Eliana Gelman; Joshua A. Konfrst; Jillian Y. Russell; et al. (CoRR, 2025)

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. - Haoran Lu; Luyang Fang; Ruidong Zhang; Xinliang Li; Jiazhang Cai; Huimin Cheng; Lin Tang; Ziyu Liu; Zeliang Sun; Tao Wang; Yingchuan Zhang; Arif Hassan Zidan; et al. (CoRR, 2025)