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ORCIDShu Zhang 0006
Person information
- affiliation: Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- affiliation (former): Stony Brook University, Department of Radiology, NY, USA
Other persons with the same name
- Shu Zhang — disambiguation page
- Shu Zhang 0001
![[0000-0002-2049-0970]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2049-0970")
— Deepwise Healthcare, AI Lab, Beijing, China (and 2 more) - Shu Zhang 0002 — Ocean University of China, Qingdao, China
- Shu Zhang 0003 — Chongqing University, School of Economics and Business Adminstration, China (and 1 more)
- Shu Zhang 0004 — Fujitsu Research & Development Center, Beijing, China
- Shu Zhang 0005 — Shandong University, Qingdao, China
- Shu Zhang 0007 — Salesforce Research, Inc. (and 1 more)
- Shu Zhang 0008 — Tongji University, Shanghai, China
- Shu Zhang 0009 — Nanjing University, Nanjing, China
- Shu Zhang 0010 — National Institute of Information and Communications Technology, Tokyo, Japan
- Shu Zhang 0011 — Yunnan Normal University, School of Information Science and Technology, Key Laboratory of Education Informatization for Nationalities, MoE, Kunming, China
- Shu Zhang 0012 — Huaihai Institute of Technology, Business School, Lianyungang, Jiangsu, China
- Shu Zhang 0013 — Tencent, Tencent AI Lab, Shenzhen, China
- Shu Zhang 0014 — Stanford University, Center for Personal Dynamic Regulomes, CA, USA (and 1 more)
- Shu Zhang 0015 — Chinese Academy of Sciences, National Laboratory of Pattern Recognition, NLPR, Institute of Automation, Beijing, China (and 1 more)
- Shu Zhang 0016 — Wuhan Business University, Research Center of Cultural and Tourism Industries, Hubei, China
- Shu Zhang 0017 — Chinese Academy of Sciences, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Shu Zhang 0018 — Fuzhou University, College of Mathematics and Computer Science, China
- Shu Zhang 0019 — Xi'an Jiaotong University, Department of Ophthalmology, Department of Geriatric Surgery, School of Information and Communications Engineering, Second Affiliated Hospital, China
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2020 – today
- 2024
[j9]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): 4163-4175 (2024)- [j8]Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang:
MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. 71(5): 1442-1453 (2024) - [j7]Shu Zhang, Lin Wu, Sigang Yu, Enze Shi, Ning Qiang, Huan Gao, Jingyi Zhao, Shijie Zhao:
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7339-7350 (2024) - [c12]Kui Zhao, Yanqing Kang, Jinru Wu, Enze Shi, Di Zhu, Shu Zhang:
A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection. ISBI 2024: 1-5 - [c11]Xiaoshan Zhang, Enze Shi, Sigang Yu, Shu Zhang:
DTCA: Dual-Branch Transformer with Cross-Attention for EEG and Eye Movement Data Fusion. MICCAI (2) 2024: 141-151 - [i2]Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang:
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning. CoRR abs/2409.11741 (2024) - [i1]Enze Shi, Kui Zhao, Qilong Yuan, Jiaqi Wang, Huawen Hu, Sigang Yu, Shu Zhang:
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling. CoRR abs/2409.12454 (2024) - 2023
- [j6]Shu Zhang, Jinru Wu, Enze Shi, Sigang Yu, Yongfeng Gao, Lihong Li, Licheng Ryan Kuo, Marc Jason Pomeroy, Jerome Zhengrong Liang:
MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification. Comput. Medical Imaging Graph. 108: 102257 (2023) - [j5]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) - [c10]Huawen Hu, Haiyang Zhang, Enze Shi, Sigang Yu, Huan Gao, Shu Zhang:
A Diffusion-Based Multi-Objective Ant Colony Algorithm for Optimizing Network Topology Design. ICCIP 2023: 393-399 - [c9]Shu Zhang, Haiyang Zhang, Ruoyang Wang, Yanqing Kang, Sigang Yu, Jinru Wu:
A Novel Multi-Modality Framework for Exploring Brain Connectivity Hubs Via Reinforcement Learning Approach. ISBI 2023: 1-5 - [c8]Yanqing Kang, Ruoyang Wang, Enze Shi, Jinru Wu, Sigang Yu, Shu Zhang:
Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach. MICCAI (8) 2023: 308-317 - 2022
- [j4]Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Jiaxing Tan, Zhengrong Liang, Yongfeng Gao, Almas F. Abbasi, Perry J. Pickhardt:
An Adaptive Learning Model for Multiscale Texture Features in Polyp Classification via Computed Tomographic Colonography. Sensors 22(3): 907 (2022) - [c7]Shu Zhang, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, Zhengrong Liang:
A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset. MMMI@MICCAI 2022: 44-53 - [c6]Shu Zhang, Yanqing Kang, Sigang Yu, Jinru Wu, Enze Shi, Ruoyang Wang, Zhibin He, Lei Du, Tuo Zhang:
A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure. MLMI@MICCAI 2022: 191-200 - 2020
- [j3]Fangfang Han, Linkai Yan, Junxin Chen, Yueyang Teng, Shuo Chen, Shouliang Qi, Wei Qian, Jie Yang, William Moore, Shu Zhang, Zhengrong Liang:
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. J. Digit. Imaging 33(3): 685-696 (2020) - [c5]Shu Zhang, Weiguo Cao, Marc Jason Pomeroy, Yongfeng Gao, Jiaxing Tan, Zhengrong Liang:
A deep learning based integration of multiple texture patterns from intensity, gradient and curvature GLCMs in differentiating the malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis 2020 - [c4]Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Perry J. Pickhardt, Hongbing Lu, Zhengrong Liang:
Deformation robust texture features for polyp classification via CT colonography. Medical Imaging: Computer-Aided Diagnosis 2020 - [c3]David Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang, Marc Jason Pomeroy, Perry J. Pickhardt:
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features. Medical Imaging: Computer-Aided Diagnosis 2020 - [c2]Jiaxing Tan, Shu Zhang, Weiguo Cao, Yongfeng Gao, Lihong Li, Yumei Huo, Zhengrong Liang:
A multi-stage fusion strategy for multi-scale GLCM-CNN model in differentiating malignant from benign polyps. Medical Imaging: Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [j2]Shu Zhang, Fangfang Han, Zhengrong Liang, Jiaxing Tan, Weiguo Cao, Yongfeng Gao, Marc Jason Pomeroy, Kenneth Ng, Wei Hou:
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. Comput. Medical Imaging Graph. 77 (2019) - [j1]Yongfeng Gao, Yongyi Shi, Weiguo Cao, Shu Zhang, Zhengrong Liang:
Energy enhanced tissue texture in spectral computed tomography for lesion classification. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [c1]Jiaxing Tan, Yongfeng Gao, Weiguo Cao, Marc Jason Pomeroy, Shu Zhang, Yumei Huo, Lihong Li, Zhengrong Liang:
GLCM-CNN: Gray Level Co-occurrence Matrix based CNN Model for Polyp Diagnosis. BHI 2019: 1-4
Coauthor Index
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