Ling-Li Zeng

According to our database, Ling-Li Zeng authored at least 30 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Recognizing drivers' turning intentions with EEG and eye movement.

Yingxin Liu, Xinbin Liang, Yang Yu, Jianxiang Sun, Jiayao Hu, Yadong Liu, Ling-Li Zeng, Zongtan Zhou, Dewen Hu

Biomed. Signal Process. Control., 2025

2024

Gradient Matching Federated Domain Adaptation for Brain Image Classification.

Ling-Li Zeng, Zhipeng Fan, Jianpo Su, Min Gan, Limin Peng, Hui Shen, Dewen Hu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

2023

Graph Learning With Co-Teaching for EEG-Based Motor Imagery Recognition.

Yifan Zhang, Yang Yu, Bo Wang, Hui Shen, Gai Lu, Yingxin Liu, Ling-Li Zeng, Dewen Hu

IEEE Trans. Cogn. Dev. Syst., December, 2023

Multi-Brain Coding Expands the Instruction Set in SSVEP-Based Brain-Computer Interfaces.

Xingxing Chu, Yang Yu, Kaixuan Liu, Zeqi Ye, Dewen Hu, Ling-Li Zeng

IEEE Trans. Hum. Mach. Syst., October, 2023

SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation.

Ling-Li Zeng, Kai Gao, Dewen Hu, Zhichao Feng, Chenping Hou, Pengfei Rong, Wei Wang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Adaptive Feature Selection With Augmented Attributes.

Chenping Hou, Ruidong Fan, Ling-Li Zeng, Dewen Hu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.

Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado

CoRR, 2023

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs.

Yi Sun, Xin Xu, Jian Li, Xiaochang Hu, Yifei Shi, Ling-Li Zeng

CoRR, 2023

Neural Video: A Novel Framework for Interpreting the Spatiotemporal Activities of the Human Brain.

Jingrui Xu, Jianpo Su, Kai Gao, Zhipeng Fan, Ming Zhang, Dewen Hu, Ling-Li Zeng

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data.

Wenzhang Zhuge, Hong Tao, Tingjin Luo, Ling-Li Zeng, Chenping Hou, Dongyun Yi

IEEE Trans. Knowl. Data Eng., 2022

2021

Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.

Kai Gao, Jianpo Su, Zhongbiao Jiang, Ling-Li Zeng, Zhichao Feng, Hui Shen, Pengfei Rong, Xin Xu, Jian Qin, Yuexiang Yang, Wei Wang, Dewen Hu

Medical Image Anal., 2021

Frequency-specific segregation and integration of human cerebral cortex: an intrinsic functional atlas.

Zhiguo Luo, Ling-Li Zeng, Hui Shen, Dewen Hu

CoRR, 2021

A Federated Deep Learning Framework for 3D Brain MRI Images.

Zhipeng Fan, Jianpo Su, Kai Gao, Dewen Hu, Ling-Li Zeng

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.

Ling-Li Zeng, Christopher R. K. Ching, Zvart Abaryan, Sophia I. Thomopoulos, Kai Gao, Alyssa H. Zhu, Anjanibhargavi Ragothaman, Faisal Rashid, Marc Harrison, Lauren E. Salminen, Brandalyn C. Riedel, Neda Jahanshad, Dewen Hu, Paul M. Thompson

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Safe Classification with Augmented Features.

Chenping Hou, Ling-Li Zeng, Dewen Hu

IEEE Trans. Pattern Anal. Mach. Intell., 2019

A Robust Multi-Subject fMRI Analysis Method Using Dimensional Optimization.

Yan Zhang, Ming Li, Hui Shen, Ling-Li Zeng, Dewen Hu

IEEE Access, 2019

Dense-CAM: Visualize the Gender of Brains with MRI Images.

Kai Gao, Hui Shen, Yadong Liu, Ling-Li Zeng, Dewen Hu

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Gender Identification of Human Brain Image with A Novel 3D Descriptor.

Lin Yuan, Fanglin Chen, Ling-Li Zeng, Lubin Wang, Dewen Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Impact of global signal regression on characterizing dynamic functional connectivity and brain states.

Huaze Xu, Jianpo Su, Jian Qin, Ming Li, Ling-Li Zeng, Dewen Hu, Hui Shen

NeuroImage, 2018

Multi-Center Brain Imaging Classification Using a Novel 3D CNN Approach.

Lin Yuan, Xue Wei, Hui Shen, Ling-Li Zeng, Dewen Hu

IEEE Access, 2018

Dissociating Group and Individual Profile of Functional Connectivity Using Low Rank Matrix Recovery.

Jian Qin, Hui Shen, Ling-Li Zeng, Kai Gao, Dewen Hu

Proceedings of the Intelligence Science and Big Data Engineering, 2018

2017

Blind source separation of functional MRI scans of the human brain based on canonical correlation analysis.

Xingjie Wu, Ling-Li Zeng, Hui Shen, Ming Li, Yun-an Hu, Dewen Hu

Neurocomputing, 2017

Lifespan Development of the Human Brain Revealed by Large-Scale Network Eigen-Entropy.

Yiming Fan, Ling-Li Zeng, Hui Shen, Jian Qin, Fuquan Li, Dewen Hu

Entropy, 2017

Secure Classification With Augmented Features.

Chenping Hou, Ling-Li Zeng, Dewen Hu

CoRR, 2017

2016

Changes in functional connectivity dynamics associated with vigilance network in taxi drivers.

Hui Shen, Zhenfeng Li, Jian Qin, Qiang Liu, Lubin Wang, Ling-Li Zeng, Hong Li, Dewen Hu

NeuroImage, 2016

2014

Abnormality of inter-network dynamic interaction in resting-state brains of schizophrenic patients.

Zhenfeng Li, Hui Shen, Ling-Li Zeng, Lin Yuan, Dewen Hu

Proceedings of the International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, 2014

Classification of Patients with Alzheimer's Disease Based on Structural MRI Using Locally Linear Embedding (LLE).

Zhiguo Luo, Ling-Li Zeng, Fanglin Chen

Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014

2012

Schizophrenia Candidate Genes Specific to Human Brain Region Are Restricted to Basal Ganglia.

Xinguo Lu, Ping Liu, Ling-Li Zeng, Renfa Li, Dewen Hu

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2011

Estimating Medication Status via Resting-State Functional Connectivity in Major Depression.

Wenying Gao, Ling-Li Zeng, Hui Shen, Dewen Hu

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

2009

Mathematical model and hybrid particle swarm optimization for flexible job-shop scheduling problem.

Ling-Li Zeng, Fengxing Zou, Xiaohong Xu

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009