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ORCIDNing Zhong 0001
Person information
- affiliation: Maebashi Institute of Technology, Maebashi, Japan
- affiliation: Beijing University of Technology, Beijing Advanced Innovation Center for Future Internet Technology, China
Other persons with the same name
- Ning Zhong — disambiguation page
- Ning Zhong 0002 — University of Cincinnati, OH, USA
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2020 – today
- 2023
[j105]Jianan Xu, Jiajin Huang, Jian Yang, Ning Zhong:
M2GCF: A multi-mixing strategy for graph neural network based collaborative filtering. Web Intell. 21(2): 149-166 (2023)- [c248]Ming Li, Lin Li, Xiaohui Tao, Ning Zhong:
User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study. SIGIR-AP 2023: 104-113 - 2022
- [j104]Yan Li, Ning Zhong
, David Taniar, Haolan Zhang:
MCGNet+: an improved motor imagery classification based on cosine similarity. Brain Informatics 9(1): 3 (2022) - [j103]Hongzhi Kuai, Xiaohui Tao, Ning Zhong:
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world. World Wide Web 25(3): 1223-1241 (2022) - 2021
- [j102]Thomas Body, Xiaohui Tao, Yuefeng Li, Lin Li, Ning Zhong:
Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models. Expert Syst. Appl. 178: 115033 (2021) - [j101]Hongzhi Kuai, Ning Zhong, Jianhui Chen, Yang Yang, Xiaofei Zhang, Peipeng Liang, Kazuyuki Imamura, Lianfang Ma, Haiyuan Wang:
Multi-source brain computing with systematic fusion for smart health. Inf. Fusion 75: 150-167 (2021) - [j100]Jian Yang, Yong Zhang, Yuanlin Yu, Ning Zhong:
Nested U-Net Architecture Based Image Segmentation for 3D Neuron Reconstruction. J. Medical Imaging Health Informatics 11(5): 1348-1356 (2021) - [c247]Hongzhi Kuai, Jianhui Chen, Xiaohui Tao, Kazuyuki Imamura, Peipeng Liang, Ning Zhong:
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications. BI 2021: 99-111 - [c246]Lianfang Ma, Jianhui Chen, Ning Zhong:
An Image-Enhanced Topic Modeling Method for Neuroimaging Literature. BI 2021: 299-309 - [c245]Huanhuan Yuan, Jian Yang, Jiajin Huang, Ning Zhong:
Probabilistic Embedding for Collaborative Reasoning. WI/IAT 2021: 25-31 - [c244]Lianfang Ma, Jianhui Chen, Ning Zhong:
Analyzing Neural Correlations Between Numerical Induction and Letter Induction Based on Data-Brain Driven Integration Evidence. WI/IAT (Workshop/Special Session) 2021: 295-301 - [e22]Mufti Mahmud, M. Shamim Kaiser, Nikola K. Kasabov, Khan Iftekharuddin, Ning Zhong:
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings. Communications in Computer and Information Science 1435, Springer 2021, ISBN 978-3-030-82268-2 [contents] - [e21]Mufti Mahmud, M. Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong:
Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings. Lecture Notes in Computer Science 12960, Springer 2021, ISBN 978-3-030-86992-2 [contents] - [i2]Yan Li, Ning Zhong, David Taniar, Haolan Zhang:
MutualGraphNet: A novel model for motor imagery classification. CoRR abs/2109.04361 (2021) - 2020
- [j99]Hongzhi Kuai, Xiaofei Zhang, Yang Yang, Jianhui Chen, Bin Shi, Ning Zhong:
THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing. IEEE Access 8: 4273-4288 (2020) - [j98]Zhijiang Wan, Jiajin Huang, Hao Zhang, Haiyan Zhou, Jie Yang, Ning Zhong:
HybridEEGNet: A Convolutional Neural Network for EEG Feature Learning and Depression Discrimination. IEEE Access 8: 30332-30342 (2020) - [j97]Hongzhi Kuai, Ning Zhong:
The extensible Data-Brain model: Architecture, applications and directions. J. Comput. Sci. 46: 101103 (2020) - [j96]Jianhui Chen, Ningning Wang, Yue Deng, Han Zhong, Jian Han, Youjun Li, Zhijiang Wan, Taihei Kotake, Dongsheng Wang, Ning Zhong:
Wisdom as a Service for Mental Health Care. IEEE Trans. Cloud Comput. 8(2): 539-552 (2020) - [j95]Xiaohui Tao, Juan Domingo Velásquez-Silva, Jiming Liu, Ning Zhong:
Editorial: Computational Social Science as the ultimate Web Intelligence. World Wide Web 23(3): 1743-1745 (2020) - [e20]Mufti Mahmud, Stefano Vassanelli, M. Shamim Kaiser, Ning Zhong:
Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Lecture Notes in Computer Science 12241, Springer 2020, ISBN 978-3-030-59276-9 [contents]
2010 – 2019
- 2019
- [j94]Mi Li, Huan Chen, Xiaodong Wang, Ning Zhong, Shengfu Lu:
An Improved Particle Swarm Optimization Algorithm with Adaptive Inertia Weights. Int. J. Inf. Technol. Decis. Mak. 18(3): 833-866 (2019) - [j93]Jianzhuo Yan, Hongzhi Kuai, Jianhui Chen, Ning Zhong:
Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data. Int. J. Inf. Technol. Decis. Mak. 18(4): 1359-1378 (2019) - [j92]Zhijiang Wan, Hao Zhang, Jiajin Huang, Haiyan Zhou, Jie Yang, Ning Zhong:
Single-Channel EEG-Based Machine Learning Method for Prescreening Major Depressive Disorder. Int. J. Inf. Technol. Decis. Mak. 18(5): 1579-1603 (2019) - [j91]Jian Yang, Xu Mao, Ning Liu, Ning Zhong:
High-Order Functional Connectivity Network for Differential Diagnosis of Depression. J. Medical Imaging Health Informatics 9(6): 1095-1102 (2019) - [j90]Jian Yang, Ming Hao, Xiaoyang Liu, Zhijiang Wan, Ning Zhong, Hanchuan Peng:
FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree. Neuroinformatics 17(2): 185-196 (2019) - [c243]Xiaofei Zhang, Ruohao Liu, Jiajin Huang, Yang Yang, Hongzhi Kuai, Ning Zhong:
Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification. AIAM (IEEE) 2019: 364-369 - [c242]Xiaofei Zhang, Yang Yang, Ruohao Liu, Ning Zhong:
Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRI. BI 2019: 51-61 - [c241]Xiang He, Xiaofei Zhang, Yang Yang, Ting Wu, Ning Zhong:
Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI. BI 2019: 62-71 - [c240]Hongzhi Kuai, Yang Yang, Jianhui Chen, Xiaofei Zhang, Jianzhuo Yan, Ning Zhong:
Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants. BI 2019: 169-178 - [c239]Xiaobo He, Ning Zhong, Jianhui Chen:
Weighted-LDA-TVM: Using a Weighted Topic Vector Model for Measuring Short Text Similarity. BI 2019: 212-219 - [c238]Ruohao Liu, Ning Zhong, Xiaofei Zhang, Yang Yang, Jiajin Huang:
Classification of Mental Arithmetic Cognitive States Based on CNN and FBN. BI 2019: 220-230 - [c237]Brendan Lys, Xiaohui Tao, Tony Machin, Ji Zhang, Ning Zhong:
Identification of Stress Impact on Personality Density Distributions. BI 2019: 265-272 - 2018
- [j89]Zhijiang Wan, Hao Zhang, Jianhui Chen, Haiyan Zhou, Jie Yang, Ning Zhong:
WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool. Brain Informatics 5(2) (2018) - [j88]Xiaowei Li, Jianxiu Li, Bin Hu, Jing Zhu, Xuemin Zhang, Liuqing Wei, Ning Zhong, Mi Li, Zhijie Ding, Jing Yang, Lan Zhang:
Attentional bias in MDD: ERP components analysis and classification using a dot-probe task. Comput. Methods Programs Biomed. 164: 169-179 (2018) - [j87]Jian Wang, Jiajin Huang, Ning Zhong:
Exploiting item-item relations to improve review-based rating prediction. Web Intell. 16(1): 1-13 (2018) - [j86]Ning Zhong, Jiming Liu, Yong Shi, Yiyu Yao:
An interview with Professor Raj Reddy on Web Intelligence (WI) and Computational Social Science (CSS). Web Intell. 16(3): 143-146 (2018) - [c236]Xiaofei Zhang, Yang Yang, Ming-Hui Zhang, Ning Zhong:
Network Analysis of Brain Functional Connectivity in Mental Arithmetic Using Task-Evoked fMRI. BI 2018: 141-152 - [c235]Zhaoqiang Li, Jiajin Huang, Ning Zhong:
Leveraging Reconstructive Profiles of Users and Items for Tag-Aware Recommendation. ICDM Workshops 2018: 1294-1299 - [c234]Liqing Liu, Haiyan Zhou, Minghui Zhang, Jiajin Huang, Lei Feng, Ning Zhong:
Resting EEG Features and Their Application in Depressive Disorders. WI 2018: 318-322 - 2017
- [j85]Zhijiang Wan, Yishan He, Ming Hao, Jian Yang, Ning Zhong:
M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree. BMC Bioinform. 18(1): 197:1-197:13 (2017) - [j84]Xiaowei Li, Zhuang Jing, Bin Hu, Jing Zhu, Ning Zhong, Mi Li, Zhijie Ding, Jing Yang, Lan Zhang, Lei Feng, Dennis Majoe:
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) - [j83]Jiajin Huang, Jian Wang, Yiyu Yao, Ning Zhong:
Cost-sensitive three-way recommendations by learning pair-wise preferences. Int. J. Approx. Reason. 86: 28-40 (2017) - [j82]Jianhui Chen, Ning Zhong, Jianhua Feng:
Developing a Provenance Warehouse for the Systematic Brain Informatics Study. Int. J. Inf. Technol. Decis. Mak. 16(6): 1581-1610 (2017) - [c233]Zhijun Yao, Bin Hu, Tao Hu, Jianping An, Dawei Song, Ning Zhong:
APOE4 modulates the activities within defalut mode network and interactions of resting intrinsic networks. BIBM 2017: 754-758 - [c232]Xingwang Liu, Mi Li, Shengfu Lu, Ming Zhang, Dachao Liu, Lei Feng, Bingbing Fu, Gang Wang, Ning Zhong:
Eye movement pattern and mental retardation in depression. BIBM 2017: 970-974 - [c231]Qiang He, Zhijiang Wan, Haiyan Zhou, Jie Yang, Ning Zhong:
Speaker Verification Method Based on Two-Layer GMM-UBM Model in the Complex Environment. BI 2017: 149-158 - [c230]Zhijiang Wan, Qiang He, Haiyan Zhou, Jie Yang, Jianzhuo Yan, Ning Zhong:
A Quantitative Analysis Method for Objectively Assessing the Depression Mood Status Based on Portable EEG and Self-rating Scale. BI 2017: 223-232 - [c229]Ning Zhong:
Brain Big Data Based Wisdom Service: A Brain Informatics Based Systematic Approach. ChineseCSCW 2017: 1 - [c228]Jiajin Huang, Jian Wang, Ning Zhong:
A Poisson Regression Method for Top-N Recommendation. SIGIR 2017: 885-888 - [c227]Zhijiang Wan, Ning Zhong, Jianhui Chen, Haiyan Zhou, Jie Yang, Jianzhuo Yan:
A depressive mood status quantitative reasoning method based on portable EEG and self-rating scale. WI 2017: 389-395 - [c226]Guangchang Dong, Jianhui Chen, Haiyuan Wang, Ning Zhong:
A narrow-domain entity recognition method based on domain relevance measurement and context information. WI 2017: 623-628 - [c225]Zhaoqiang Li, Jiajin Huang, Ning Zhong:
Exploiting user and item embedding in latent factor models for recommendations. WI 2017: 1241-1245 - [c224]Hongzhi Kuai, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Haiyuan Wang, Ning Zhong:
A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination. WI 2017: 1253-1259 - 2016
- [j81]Jiajin Huang, Kunlei Zhu, Ning Zhong:
A probabilistic inference model for recommender systems. Appl. Intell. 45(3): 686-694 (2016) - [j80]Shinichi Motomura, Muneaki Ohshima, Ning Zhong:
Erratum to: Usability study of a simplified electroencephalograph as a health-care system. Health Inf. Sci. Syst. 4(1): 1 (2016) - [c223]Zhijiang Wan, Yishan He, Ming Hao, Jian Yang, Ning Zhong:
An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Tree. BIH 2016: 34-41 - [c222]Ming Hao, Jian Yang, Xiaoyang Liu, Zhijiang Wan, Ning Zhong:
Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Method. BIH 2016: 52-60 - [c221]Youjun Li, Haiyan Zhou, Jianhui Chen, Jiajin Huang, Meng Chen, Yan Liu, Ning Zhong:
Human Emotion Variation Analysis Based on EEG Signal and POMS Scale. BIH 2016: 75-84 - [c220]Yang Yang, Lei Feng, Kazuyuki Imamura, Xiaojing Yang, Huaizhou Li, Gang Wang, Bin Hu, Shengfu Lu, Ning Zhong:
Alterations in Emotional and Salience Responses to Positive Stimuli in Major Depressive Disorder. BIH 2016: 114-123 - [c219]Xian Li, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Ning Zhong:
A Provenance Driven Approach for Systematic EEG Data Analysis. BIH 2016: 190-200 - [c218]Kunlei Zhu, Jiajin Huang, Ning Zhong:
Exploiting Group Pairwise Preference Influences for Recommendations. IJCRS 2016: 429-438 - [c217]Ce Cheng, Jiajin Huang, Ning Zhong:
Point-of-Interest Recommendations by Unifying Multiple Correlations. WAIM (1) 2016: 178-190 - [c216]Jiajin Huang, Ning Zhong:
Leveraging Item Connections to Improve Social Recommendations with Ratings and Reviews. WI 2016: 185-191 - [p14]Ning Zhong, Jianhua Ma, Runhe Huang, Jiming Liu, Yiyu Yao, Yaoxue Zhang, Jianhui Chen:
Research Challenges and Perspectives on Wisdom Web of Things (W2T). Semantic Web Technologies for Intelligent Engineering Applications 2016: 3-26 - [p13]Jianhui Chen, Jianhua Ma, Ning Zhong, Yiyu Yao, Jiming Liu, Runhe Huang, Wenbin Li, Zhisheng Huang, Yang Gao:
WaaS - Wisdom as a Service. Semantic Web Technologies for Intelligent Engineering Applications 2016: 27-46 - [p12]Jianhui Chen, Jian Han, Yue Deng, Han Zhong, Ningning Wang, Youjun Li, Zhijiang Wan, Taihei Kotake, Dongsheng Wang, Xiaohui Tao, Ning Zhong:
Multi-level Big Data Content Services for Mental Health Care. Semantic Web Technologies for Intelligent Engineering Applications 2016: 155-180 - [p11]Erzhong Zhou, Ning Zhong, Yuefeng Li, Jiajin Huang:
Hot Topic Detection in News Blog Based on W2T Methodology. Semantic Web Technologies for Intelligent Engineering Applications 2016: 237-258 - [p10]Hui Wang, Jiajin Huang, Erzhong Zhou, Zhisheng Huang, Ning Zhong:
Suitable Route Recommendation Inspired by Cognition. Semantic Web Technologies for Intelligent Engineering Applications 2016: 303-322 - [p9]Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang:
A Monitoring System for the Safety of Building Structure Based on W2T Methodology. Semantic Web Technologies for Intelligent Engineering Applications 2016: 323-335 - [p8]Ning Zhong, Stephen S. Yau, Jianhua Ma, Shinsuke Shimojo, Marcel Adam Just, Bin Hu, Guoyin Wang, Kazuhiro Oiwa, Yuichiro Anzai:
Brain Big Data in Wisdom Web of Things. Semantic Web Technologies for Intelligent Engineering Applications 2016: 339-349 - [e19]Ning Zhong, Jianhua Ma, Jiming Liu, Runhe Huang, Xiaohui Tao:
Wisdom Web of Things. 2016, ISBN 978-3-319-44196-2 [contents] - 2015
- [j79]Ning Zhong, Stephen S. Yau, Jianhua Ma, Shinsuke Shimojo, Marcel Adam Just, Bin Hu, Guoyin Wang, Kazuhiro Oiwa, Yuichiro Anzai:
Brain Informatics-Based Big Data and the Wisdom Web of Things. IEEE Intell. Syst. 30(5): 2-7 (2015) - [j78]Shinichi Motomura, Muneaki Ohshima, Ning Zhong:
Usability study of a simplified electroencephalograph as a health-care system. Health Inf. Sci. Syst. 3(1): 4 (2015) - [j77]Haiyuan Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang, Yuzhong Han, Feng Zhang:
An Intelligent Monitoring System for the Safety of Building Structure under the W2T Framework. Int. J. Distributed Sens. Networks 11: 378694:1-378694:16 (2015) - [j76]Jiajin Huang, Xi Yuan, Ning Zhong, Yiyu Yao:
Modeling Tag-Aware Recommendations Based on User Preferences. Int. J. Inf. Technol. Decis. Mak. 14(5): 947-970 (2015) - [j75]Hui Wang, Jiajin Huang, Erzhong Zhou, Zhisheng Huang, Ning Zhong:
Cognition-inspired route evaluation using mobile phone data. Nat. Comput. 14(4): 637-648 (2015) - [c215]Yang Yang, Changqing Hu, Kazuyuki Imamura, Xiaojing Yang, Huaizhou Li, Gang Wang, Lei Feng, Bin Hu, Shengfu Lu, Ning Zhong:
Morphologic and Functional Connectivity Alterations in Patients with Major Depressive Disorder. BIH 2015: 33-42 - [c214]Ningning Wang, Ning Zhong, Jian Han, Jianhui Chen, Han Zhong, Taihei Kotake, Dongsheng Wang, Jianzhuo Yan:
A Personalized Method of Literature Recommendation Based on Brain Informatics Provenances. BIH 2015: 167-178 - [c213]Haiyan Zhou, Sanxia Fan, JiaLiang Guo, Xiaomeng Ma, Jianzhuo Yan, Yulin Qin, Ning Zhong:
Visual Object Categorization from Whole to Fine: Evidence from ERP. BIH 2015: 325-334 - [c212]Kunlei Zhu, Jiajin Huang, Ning Zhong:
GPS-Based Location Recommendation Using a Belief Network Model. KSEM 2015: 721-731 - [c211]Ning Zhong, Jiajin Huang:
Granular Structures Induced by Interval Sets and Rough Sets. RSFDGrC 2015: 49-60 - [c210]Ce Cheng, Jiajin Huang, Ning Zhong:
Unifying Geographical Influence in Recommender Systems via Matrix Factorization. WI-IAT (3) 2015: 84-87 - [c209]Youjun Li, Zhijiang Wan, Jiajin Huang, Jianhui Chen, Zhisheng Huang, Ning Zhong:
A Smart Hospital Information System for Mental Disorders. WI-IAT (1) 2015: 321-324 - 2014
- [j74]Jiajin Huang, Ning Zhong, Yiyu Yao:
A Unified Framework of Targeted Marketing using Customer Preferences. Comput. Intell. 30(3): 451-472 (2014) - [j73]Jianhui Chen, Jianhua Ma, Ning Zhong, Yiyu Yao, Jiming Liu, Runhe Huang, Wenbin Li, Zhisheng Huang, Yang Gao, Jianping Cao:
WaaS: Wisdom as a Service. IEEE Intell. Syst. 29(6): 40-47 (2014) - [j72]Jie Wen, Jianhua Ma, Runhe Huang, Qun Jin, Jian Chen, Benxiong Huang, Ning Zhong:
A malicious behavior analysis based Cyber-I birth. J. Intell. Manuf. 25(1): 147-155 (2014) - [j71]Erzhong Zhou, Ning Zhong, Yuefeng Li:
Extracting news blog hot topics based on the W2T Methodology. World Wide Web 17(3): 377-404 (2014) - [c208]Hui Wang, Ning Zhong, Zhisheng Huang, Jiajin Huang, Erzhong Zhou, Runqiang Du:
Detecting Stay Areas from a User's Mobile Phone Data for Urban Computing. AMT 2014: 336-346 - [c207]Mi Li, Shengfu Lu, Jing Wang, Liwang Ma, Mengjie Zhang, Ning Zhong:
Ventral Stream Plays an Important Role in Statistical Graph Comprehension: An fMRI Study. Brain Informatics and Health 2014: 12-20 - [c206]Yang Yang, Emi Tosaka, Xiaojing Yang, Kazuyuki Imamura, Xiuya Lei, Gang Wang, Bin Hu, Shengfu Lu, Ning Zhong:
Shift of Brain-State during Recovery from Discomfort Induced by Aversive Pictures. Brain Informatics and Health 2014: 45-56 - [c205]Han Zhong, Jianhui Chen, Jian Han, Ning Zhong:
Data-Brain Driven Documents Ranking for Constructing Brain Informatics Provenances. Brain Informatics and Health 2014: 198-207 - [c204]Jian Han, Jianhui Chen, Han Zhong, Ning Zhong:
A Brain Informatics Research Recommendation System. Brain Informatics and Health 2014: 208-217 - [c203]Jun Zhou, Haiyan Zhou, Chuan Li, JiaLiang Guo, Xiaojing Yang, Zhoujun Long, Yulin Qin, Ning Zhong:
Practice and Task Experience Change the Gradient Organization in the Resting Brain. Brain Informatics and Health 2014: 493-501 - [c202]Jianhui Chen, Jianhua Feng, Ning Zhong, Zhisheng Huang:
Constructing Provenance Cubes Based on Semantic Neuroimaging Data Provenances. CSWS 2014: 213-226 - [c201]Liangliang Zhao, Jiajin Huang, Ning Zhong:
A Context-Aware Recommender System with a Cognition Inspired Model. RSKT 2014: 613-622 - 2013
- [j70]Linchan Qin, Ning Zhong, Shengfu Lu, Mi Li:
Decision Prediction Using Visual Patterns. Fundam. Informaticae 127(1-4): 545-560 (2013) - [j69]Lin Sun, Ning Zhong, Jiucheng Xu:
Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval. J. Comput. 8(8): 2101-2109 (2013) - [j68]Ning Zhong, Jianhua Ma, Runhe Huang, Jiming Liu, Yiyu Yao, Yaoxue Zhang, Jianhui Chen:
Research challenges and perspectives on Wisdom Web of Things (W2T). J. Supercomput. 64(3): 862-882 (2013) - [j67]Jianhui Chen, Ning Zhong:
Toward the Data-Brain Driven Systematic Brain Data Analysis. IEEE Trans. Syst. Man Cybern. Syst. 43(1): 222-228 (2013) - [j66]Ning Zhong, Jiming Liu, Jianhua Ma:
Guest editorial-Wisdom Web of Things (W2T). World Wide Web 16(4): 355-356 (2013) - [c200]Xi Yuan, Jiajin Huang, Ning Zhong:
Preference Structure and Similarity Measure in Tag-Based Recommender Systems. AMT 2013: 193-202 - [c199]Hui Wang, Zhisheng Huang, Ning Zhong, Jiajin Huang:
Semantically Modeling Mobile Phone Data for Urban Computing. AMT 2013: 203-210 - [c198]Mi Li, Haiping Wei, Yu Zhou, Pengfei Liu, Xingyu Su, Shengfu Lu, Ning Zhong:
Role of the Prefrontal Cortex (PFC) on Processing the Social Statistical Information: An fMRI Study. Brain and Health Informatics 2013: 1-10 - [c197]Zhizhou Liao, Haiyan Zhou, Chuan Li, Jun Zhou, Yulin Qin, Yuan Feng, Lei Feng, Gang Wang, Ning Zhong:
The Change of Resting EEG in Depressive Disorders. Brain and Health Informatics 2013: 52-61 - [c196]Xiangsheng Shen, Haiyan Zhou, Fenfen Wang, Zhoujun Long, Jun Zhou, Chuan Li, Yulin Qin, Kuncheng Li, Ning Zhong:
Neural Mechanism of Mental Imagery in Problem Solving. Brain and Health Informatics 2013: 62-71 - [c195]Yang Yang, Ning Zhong, Kazuyuki Imamura, Xiuya Lei:
Common and Dissociable Neural Substrates for 2-Digit Simple Addition and Subtraction. Brain and Health Informatics 2013: 92-102 - [c194]Shinichi Motomura, Muneaki Ohshima, Ning Zhong:
Peculiarity Oriented EEG Data Stream Mining. Brain and Health Informatics 2013: 147-157 - [c193]Guohun Zhu, Yan Li, Peng (Paul) Wen, Shuaifang Wang, Ning Zhong:
Unsupervised Classification of Epileptic EEG Signals with Multi Scale K-Means Algorithm. Brain and Health Informatics 2013: 158-167 - [c192]