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Jing Zhu 0003
Person information
- affiliation: Lanzhou University, Gansu Provincial Key Laboratory of Wearable Computing, China
Other persons with the same name
- Jing Zhu — disambiguation page
- Jing Zhu 0001 — Intel Corporation, Communication Technology Laboratory, Hillsboro, OR, USA (and 1 more)
- Jing Zhu 0002 — New York University, Multimedia and Visual Computing Lab, USA
- Jing Zhu 0004
— University of Surrey, 5GIC and 6GIC, Institute for Communication Systems, ICS, Guildford, UK (and 1 more)
- Jing Zhu 0005
- Jing Zhu 0006
- Jing Zhu 0007
- Jing Zhu 0008
- Jing Zhu 0009
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Journal Articles
- 2025
- [j19]Pengfei Hou, Xiaowei Li, Jing Zhu, Bin Hu:
A lightweight convolutional transformer neural network for EEG-based depression recognition. Biomed. Signal Process. Control. 100: 107112 (2025) - [j18]Xuesong Liu, Shanshan Qu, Gang Luo, Chang Yan, Dixin Wang, Na Chu, Fuze Tian
A generalized depression recognition framework based on cross-center and cross-task EEG signals. Biomed. Signal Process. Control. 104: 107492 (2025) - [j17]Huayu Chen
Toward the Construction of Affective Brain-Computer Interface: A Systematic Review. ACM Comput. Surv. 57(6): 156:1-156:56 (2025) - [j16]Na Li, Ziyi Wang, Zhenwen Zhang, Jun Huang, Jing Zhu, Xiaowei Li, Bin Hu:
Improving depression diagnosis using a brain module-based weighted hypergraph convolutional network framework. Neurocomputing 653: 131074 (2025) - [j15]Weizhuang Kong, Zihao Zhang, Jing Zhu, Yizhou Li, Xiaowei Li, Bin Hu
Event-related potential extraction workflow based on kernel density estimation. Neurocomputing 656: 131425 (2025) - [j14]Huayu Chen
VAE-CapsNet: A common emotion information extractor for cross-subject emotion recognition. Knowl. Based Syst. 311: 113018 (2025) - [j13]Jing Zhu, Yuanlong Li, Changlin Yang, Hanshu Cai, Xiaowei Li, Bin Hu
Transformer-based fusion model for mild depression recognition with EEG and pupil area signals. Medical Biol. Eng. Comput. 63(7): 2011-2027 (2025) - 2024
- [j12]Xuexiao Shao, Ming Ying, Jing Zhu, Xiaowei Li, Bin Hu
Achieving EEG-based depression recognition using Decentralized-Centralized structure. Biomed. Signal Process. Control. 95: 106402 (2024) - 2023
- [j11]Jing Zhu
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals. IEEE Trans. Affect. Comput. 14(3): 2102-2115 (2023) - [j10]Fei-Yue Wang
ChatGPT for Computational Social Systems: From Conversational Applications to Human-Oriented Operating Systems. IEEE Trans. Comput. Soc. Syst. 10(2): 414-425 (2023) - 2022
- [j9]Jing Zhu, Changting Jiang, Junhao Chen, Xiangbin Lin, Ruilan Yu, Xiaowei Li, Bin Hu
EEG based depression recognition using improved graph convolutional neural network. Comput. Biol. Medicine 148: 105815 (2022) - [j8]Jing Zhu, Shiqing Wei, Xiannian Xie, Changlin Yang, Yizhou Li, Xiaowei Li, Bin Hu
Content-based multiple evidence fusion on EEG and eye movements for mild depression recognition. Comput. Methods Programs Biomed. 226: 107100 (2022) - 2021
- [j7]Fei-Yue Wang
Federated Control: Toward Information Security and Rights Protection. IEEE Trans. Comput. Soc. Syst. 8(4): 793-798 (2021) - 2019
- [j6]Jing Zhu, Ying Wang
Multimodal Mild Depression Recognition Based on EEG-EM Synchronization Acquisition Network. IEEE Access 7: 28196-28210 (2019) - [j5]Hong Peng, Chen Xia, Zihan Wang, Jing Zhu, Xin Zhang, Shuting Sun, Jianxiu Li, Xiaoning Huo, Xiaowei Li
Multivariate Pattern Analysis of EEG-Based Functional Connectivity: A Study on the Identification of Depression. IEEE Access 7: 92630-92641 (2019) - [j4]Xiaowei Li, Xin Zhang, Jing Zhu, Wandeng Mao, Shuting Sun, Zihan Wang, Chen Xia, Bin Hu:
Depression recognition using machine learning methods with different feature generation strategies. Artif. Intell. Medicine 99 (2019) - [j3]Xiaowei Li, Rong La, Ying Wang, Junhong Niu, Shuai Zeng, Shuting Sun, Jing Zhu:
EEG-based mild depression recognition using convolutional neural network. Medical Biol. Eng. Comput. 57(6): 1341-1352 (2019) - 2018
- [j2]Xiaowei Li, Jianxiu Li, Bin Hu, Jing Zhu, Xuemin Zhang, Liuqing Wei
Attentional bias in MDD: ERP components analysis and classification using a dot-probe task. Comput. Methods Programs Biomed. 164: 169-179 (2018) - 2017
- [j1]Xiaowei Li, Zhuang Jing, Bin Hu
A Resting-State Brain Functional Network Study in MDD Based on Minimum Spanning Tree Analysis and the Hierarchical Clustering. Complex. 2017: 9514369:1-9514369:11 (2017)
Conference and Workshop Papers
- 2024
- [c11]Na Li, Ziyi Wang, Jun Huang, Shuting Sun, Jing Zhu, Xiaowei Li, Bin Hu:
Nitrous oxide therapy-induced changes in brain modules of treatment-resistant depression: a randomized controlled study. BIBM 2024: 3428-3433 - 2023
- [c10]Liangliang Liu
Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition. BIBM 2023: 2543-2550 - [c9]Jing Zhu, Xiaowei Li, Pengfei Hou, Bin Hu, Xin Zhang:
EEG-Based Depression Recognition Using Convolutional Neural Network with FFT and EMD. BIBM 2023: 2601-2608 - 2022
- [c8]Jing Zhu, Xiannian Xie, Changlin Yang, Shiqing Wei, Xiaowei Li, Bin Hu:
Hybrid fusion model based on DBN and secondary classifier: Multimodal mild depression recognition using EEG and eye movement. BIBM 2022: 1846-1850 - 2020
- [c7]Yongheng Fan, Ruilan Yu, Jianxiu Li, Jing Zhu, Xiaowei Li:
EEG-based mild depression recognition using multi-kernel convolutional and spatial-temporal Feature. BIBM 2020: 1777-1784 - [c6]Yun Zhang, Tao Gong, Shuting Sun, Jianxiu Li, Jing Zhu, Xiaowei Li:
A functional network study of patients with mild depression based on source location. BIBM 2020: 1827-1834 - [c5]Jing Zhu, Tao Gong, Zihan Wang, Chen Xia, Zhijie Ding, Xiaowei Li:
Attention Bias in Emotional Conflict in Major Depression Disorder: An Eye Tracking Study. HealthCom 2020: 1-7 - 2019
- [c4]Jing Zhu, Zihan Wang, Shuai Zeng, Xiaowei Li, Bin Hu, Xin Zhang, Chen Xia, Lan Zhang, Zhijie Ding:
Toward Depression Recognition Using EEG and Eye Tracking: An Ensemble Classification Model CBEM. BIBM 2019: 782-786 - 2018
- [c3]Wandeng Mao, Jing Zhu, Xiaowei Li, Xin Zhang, Shuting Sun:
Resting State EEG Based Depression Recognition Research Using Deep Learning Method. BI 2018: 329-338 - [c2]Shuai Zeng, Junhong Niu, Jing Zhu, Xiaowei Li:
A Study on Depression Detection Using Eye Tracking. HCC 2018: 516-523 - 2016
- [c1]Jing Zhu, Xue Han, Rong Ma, Xiaowei Li, Tong Cao, Shuting Sun, Bin Hu:
Exploring User Mobile Shopping Activities Based on Characteristic of Eye-Tracking. HCC 2016: 556-566
Informal and Other Publications
- 2020
- [i1]Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng, Jing Zhu, Xiaowei Zhang, Xiping Hu, Bin Hu:
MODMA dataset: a Multi-model Open Dataset for Mental-disorder Analysis. CoRR abs/2002.09283 (2020)
Coauthor Index
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