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ORCIDBin Hu 0001
Person information
- affiliation: Beijing Institute of Technology, School of Medical Technology, China
- affiliation (former): Lanzhou University, School of Information Science and Engineering, China
- affiliation (former): Shandong Normal University, School of Information Science and Engineering, Jinan, China
- affiliation (former): Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan, China
- affiliation (former): UCE Birmingham, Birmingham, Department of Computing, UK
Other persons with the same name
- Bin Hu — disambiguation page
- Bin Hu 0002
![[0000-0002-5632-7737]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5632-7737")
— University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Laboratory, Champaign, IL, USA (and 2 more) - Bin Hu 0003 — Harbin Institute of Technology, Research Institute of Electronic Engineering Technology, China (and 1 more)
- Bin Hu 0004 — AIT Austrian Institute of Technology, Vienna, Austria (and 1 more)
- Bin Hu 0006 — Huazhong University of Science and Technology, School of Management, Wuhan, China
- Bin Hu 0007 — National Institute of Standards and Technology, US Department of Commerce, Gaithersburg, MD, USA (and 1 more)
- Bin Hu 0008 — Huazhong University of Science and Technology, College of Automation, Wuhan, China
- Bin Hu 0009 — University of Texas at Dallas, Department of Information Systems and Operations Management, TX, USA
- Bin Hu 0010 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (and 2 more)
- Bin Hu 0011 — PLA SSF Information Engineering University, Zhengzhou, China
- Bin Hu 0012 — Harbin Institute of Technology, School of Electronics and Information Engineering, Key Laboratory of Marine Environmental Monitoring and Information Processing, China
- Bin Hu 0013 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Bin Hu 0014 — University of Houston, Cullen College of Engineering, Houston, TX, USA (and 3 more)
- Bin Hu 0015 — Jilin University, College of Geo-Exploration Science and Technology, Changchun, China
- Bin Hu 0016 — Kean University, Department of Computer Science and Technology, Union, NJ, USA (and 1 more)
- Bin Hu 0017 — Nanjing Normal University, College of Geographic Science, China
- Bin Hu 0018 — Shanghai University of Engineering Science, School of Management, China (and 1 more)
- Bin Hu 0019 — Wuhan University of Science and Technology, School of Resource and Environmental Engineering, China (and 1 more)
- Bin Hu 0020 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Bin Hu 0021 — Central South University, School of Computer Science, Changsha, China
- Bin Hu 0022 — Nanjing Agriculture University, College on Information Science & Technology, China
- Bin Hu 0023 — Nantong University, School of Information Science and Technology, Jiangsu, China
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2020 – today
- 2024
[j203]Lu Zhang, Jitao Zhong, Quanhong Wang, Jinzhou Zhu, Hele Liu, Hong Peng, Bin Hu:
Robust sparse graph regularized nonnegative matrix factorization for automatic depression diagnosis. Biomed. Signal Process. Control. 93: 106036 (2024)- [j202]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) - [j201]Yu Zhang, Rui Xie, Iman Beheshti, Xia Liu, Guowei Zheng, Yin Wang, Zhenwen Zhang, Weihao Zheng, Zhijun Yao, Bin Hu:
Improving brain age prediction with anatomical feature attention-enhanced 3D-CNN. Comput. Biol. Medicine 169: 107873 (2024) - [j200]Jingyu Liu, Wenxin Yang, Yulan Ma, Qunxi Dong, Yang Li, Bin Hu:
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identification. Comput. Biol. Medicine 171: 108069 (2024) - [j199]Zepeng Li, Shuo Cao, Minyu Zhai, Nengneng Ding, Zhenwen Zhang, Bin Hu:
Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition. Neurocomputing 586: 127637 (2024) - [j198]Minqiang Yang, Jintao Wang, Yujie Gao, Bin Hu:
Aim Where You Look: Eye-Tracking-Based UAV Control Framework for Automatic Target Aiming. IEEE Internet Things J. 11(12): 21250-21260 (2024) - [j197]Jitao Zhong, Guangzhi Ma, Lu Zhang, Quanhong Wang, Shi Qiao, Hong Peng, Bin Hu:
Spatio-temporal scale information fusion of Functional Near-Infrared Spectroscopy signal for depression detection. Knowl. Based Syst. 283: 111165 (2024) - [j196]Zhenwen Zhang, Zepeng Li, Jianghong Zhu, Zhihua Guo, Bin Shi, Bin Hu:
Enhancing user sequence representation with cross-view collaborative learning for depression detection on Sina Weibo. Knowl. Based Syst. 293: 111650 (2024) - [j195]Hongmin Cai, Weitian Huang, Sirui Yang, Siqi Ding, Yue Zhang, Bin Hu, Fa Zhang, Yiu-Ming Cheung:
Realize Generative Yet Complete Latent Representation for Incomplete Multi-View Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3637-3652 (2024) - [j194]Hongmin Cai, Yu Hu, Fei Qi, Bin Hu, Yiu-ming Cheung:
Deep Tensor Spectral Clustering Network via Ensemble of Multiple Affinity Tensors. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 5080-5091 (2024) - [j193]Xiaowei Zhang, Xiangyu Wei, Zhongyi Zhou, Qiqi Zhao, Sipo Zhang, Yikun Yang, Rui Li, Bin Hu:
Dynamic Alignment and Fusion of Multimodal Physiological Patterns for Stress Recognition. IEEE Trans. Affect. Comput. 15(2): 685-696 (2024) - [j192]Bin Hu, Lixian Zhu, Qunxi Dong, Kun Qian, Hanshu Cai, Fuze Tian:
Physiological Electrosignal Asynchronous Acquisition Technology: Insight and Perspectives. IEEE Trans. Comput. Soc. Syst. 11(1): 5-24 (2024) - [j191]Rui Qin, Fei-Yue Wang, Xiaolong Zheng, Qinghua Ni, Juanjuan Li, Xiao Xue, Bin Hu:
Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence. IEEE Trans. Comput. Soc. Syst. 11(2): 1531-1550 (2024) - [j190]Minqiang Yang, Yongfeng Tao, Hanshu Cai, Bin Hu:
Behavioral Information Feedback With Large Language Models for Mental Disorders: Perspectives and Insights. IEEE Trans. Comput. Soc. Syst. 11(3): 3026-3044 (2024) - [j189]Minqiang Yang, Yujie Gao, Longzhe Tang, Jian Hou, Bin Hu:
Wearable Eye-Tracking System for Synchronized Multimodal Data Acquisition. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5146-5159 (2024) - [j188]Kechen Hou, Xiaowei Zhang, Yikun Yang, Qiqi Zhao, Wenjie Yuan, Zhongyi Zhou, Sipo Zhang, Chen Li, Jian Shen, Bin Hu:
Emotion Recognition From Multimodal Physiological Signals via Discriminative Correlation Fusion With a Temporal Alignment Mechanism. IEEE Trans. Cybern. 54(5): 3079-3092 (2024) - [j187]Xiufang Chen, Long Jin, Bin Hu:
A Cerebellum-Inspired Control Scheme for Kinematic Control of Redundant Manipulators. IEEE Trans. Ind. Electron. 71(7): 7542-7550 (2024) - [j186]Lixian Zhu, Wanyong Qiu, Yu Ma, Fuze Tian, Mengkai Sun, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
LEPCNet: A Lightweight End-to-End PCG Classification Neural Network Model for Wearable Devices. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j185]Haifeng Lu, Shihao Xu, Shipeng Zhao, Xiping Hu, Rong Ma, Bin Hu:
EPIC: Emotion Perception by Spatio-Temporal Interaction Context of Gait. IEEE J. Biomed. Health Informatics 28(5): 2592-2601 (2024) - [j184]Yongfeng Tao, Minqiang Yang, Huiru Li, Yushan Wu, Bin Hu:
DepMSTAT: Multimodal Spatio-Temporal Attentional Transformer for Depression Detection. IEEE Trans. Knowl. Data Eng. 36(7): 2956-2966 (2024) - [j183]Jingyu Liu, Weigang Cui, Yipeng Chen, Yulan Ma, Qunxi Dong, Ran Cai, Yang Li, Bin Hu:
Deep Fusion of Multi-Template Using Spatio-Temporal Weighted Multi-Hypergraph Convolutional Networks for Brain Disease Analysis. IEEE Trans. Medical Imaging 43(2): 860-873 (2024) - [j182]Mi Li, Wei Zhang, Bin Hu, Jiaming Kang, Yuqi Wang, Shengfu Lu:
Automatic Assessment of Depression and Anxiety through Encoding Pupil-wave from HCI in VR Scenes. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 42:1-42:22 (2024) - [i25]Yi Chang, Zhao Ren, Zixing Zhang, Xin Jing, Kun Qian, Xi Shao, Bin Hu, Tanja Schultz, Björn W. Schuller:
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition. CoRR abs/2402.01227 (2024) - [i24]Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu:
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR abs/2403.01954 (2024) - [i23]Xiang Li, Jian Song, Zhigang Zhao, Chunxiao Wang, Dawei Song, Bin Hu:
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition. CoRR abs/2405.07260 (2024) - 2023
- [j181]Jitao Zhong, Zhengyang Shan, Xuan Zhang, Haifeng Lu, Hong Peng, Bin Hu:
Robust discriminant feature extraction for automatic depression recognition. Biomed. Signal Process. Control. 82: 104505 (2023) - [j180]Zhihua Wang, Kun Qian, Houguang Liu, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Exploring interpretable representations for heart sound abnormality detection. Biomed. Signal Process. Control. 82: 104569 (2023) - [j179]Yujuan Xing, Zhenyu Liu, Qiongqiong Chen, Gang Li, Zhijie Ding, Lei Feng, Bin Hu:
Depression recognition base on acoustic speech model of Multi-task emotional stimulus. Biomed. Signal Process. Control. 85: 104970 (2023) - [j178]Jitao Zhong, Wenyan Du, Lu Zhang, Hong Peng, Bin Hu:
Feature extraction based on sparse graphs embedding for automatic depression detection. Biomed. Signal Process. Control. 86(Part B): 105257 (2023) - [j177]Zhenyu Liu, Xiaoyan Yuan, Yutong Li, Zixuan Shangguan, Li Zhou, Bin Hu:
PRA-Net: Part-and-Relation Attention Network for depression recognition from facial expression. Comput. Biol. Medicine 157: 106589 (2023) - [j176]Bin Hu, Yongfeng Tao, Minqiang Yang:
Detecting depression based on facial cues elicited by emotional stimuli in video. Comput. Biol. Medicine 165: 107457 (2023) - [j175]Xuan Zhang, Dixin Wang, Hongtong Wu, Jinlong Chao, Jitao Zhong, Hong Peng, Bin Hu:
Vigilance estimation using truncated l1 distance kernel-based sparse representation regression with physiological signals. Comput. Methods Programs Biomed. 242: 107773 (2023) - [j174]Xiaoyan Yuan, Zhenyu Liu, Qiongqiong Chen, Gang Li, Zhijie Ding, Zixuan Shangguan, Bin Hu:
Combining Informative Regions and Clips for Detecting Depression from Facial Expressions. Cogn. Comput. 15(6): 1961-1972 (2023) - [j173]Xiang Li, Yazhou Zhang, Prayag Tiwari, Dawei Song, Bin Hu, Meihong Yang, Zhigang Zhao, Neeraj Kumar, Pekka Marttinen:
EEG Based Emotion Recognition: A Tutorial and Review. ACM Comput. Surv. 55(4): 79:1-79:57 (2023) - [j172]Li Zhou, Zhenyu Liu, Xiaoyan Yuan, Zixuan Shangguan, Yutong Li, Bin Hu:
CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection. Digit. Signal Process. 137: 103986 (2023) - [j171]Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Battling with the low-resource condition for snore sound recognition: introducing a meta-learning strategy. EURASIP J. Audio Speech Music. Process. 2023(1): 43 (2023) - [j170]Zepeng Li, Zhengyi An, Wenchuan Cheng, Jiawei Zhou, Fang Zheng, Bin Hu:
MHA: a multimodal hierarchical attention model for depression detection in social media. Health Inf. Sci. Syst. 11(1): 6 (2023) - [j169]Rui Li, Chao Ren, Sipo Zhang, Yikun Yang, Qiqi Zhao, Kechen Hou, Wenjie Yuan, Xiaowei Zhang, Bin Hu:
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition. Health Inf. Sci. Syst. 11(1): 25 (2023) - [j168]Quanhong Wang, Weizhuang Kong, Jitao Zhong, Zhengyang Shan, Juan Wang, Xiaowei Li, Hong Peng, Bin Hu:
A hybrid SVM and kernel function-based sparse representation classification for automated epilepsy detection in EEG signals. Neurocomputing 562: 126874 (2023) - [j167]Haihua Jiang, Bin Hu, Zhenyu Liu, Gang Wang, Lan Zhang:
A radius-incorporated localized multiple kernel learning algorithm for detecting depression in speech. Int. J. Speech Technol. 26(on): 371-378 (2023) - [j166]Zepeng Li, Rikui Huang, Yufeng Zhang, Jianghong Zhu, Bin Hu:
Two flexible translation-based models for knowledge graph embedding. J. Intell. Fuzzy Syst. 44(2): 3093-3105 (2023) - [j165]Rui Li, Chao Ren, Yiqing Ge, Qiqi Zhao, Yikun Yang, Yuhan Shi, Xiaowei Zhang, Bin Hu:
MTLFuseNet: A novel emotion recognition model based on deep latent feature fusion of EEG signals and multi-task learning. Knowl. Based Syst. 276: 110756 (2023) - [j164]Zepeng Li, Wenchuan Cheng, Jiawei Zhou, Zhengyi An, Bin Hu:
Deep learning model with multi-feature fusion and label association for suicide detection. Multim. Syst. 29(4): 2193-2203 (2023) - [j163]Dongrui Wu, Bao-Liang Lu, Bin Hu, Zhigang Zeng:
Affective Brain-Computer Interfaces (aBCIs): A Tutorial. Proc. IEEE 111(10): 1314-1332 (2023) - [j162]Jianxiu Li, Yanrong Hao, Wei Zhang, Xiaowei Li, Bin Hu:
Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders. IEEE Trans. Affect. Comput. 14(1): 694-705 (2023) - [j161]Huayu Chen, Shuting Sun, Jianxiu Li, Ruilan Yu, Nan Li, Xiaowei Li, Bin Hu:
Personal-Zscore: Eliminating Individual Difference for EEG-Based Cross-Subject Emotion Recognition. IEEE Trans. Affect. Comput. 14(3): 2077-2088 (2023) - [j160]Jing Zhu, Changlin Yang, Xiannian Xie, Shiqing Wei, Yizhou Li, Xiaowei Li, Bin Hu:
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals. IEEE Trans. Affect. Comput. 14(3): 2102-2115 (2023) - [j159]Jianxiu Li, Nan Li, Xuexiao Shao, Junhao Chen, Yanrong Hao, Xiaowei Li, Bin Hu:
Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis. IEEE Trans. Affect. Comput. 14(3): 2116-2126 (2023) - [j158]Jinlong Chao, Shuzhen Zheng, Chang Lei, Hong Peng, Bin Hu:
Exploratory Cross-Frequency Coupling and Scaling Analysis of Neuronal Oscillations Stimulated by Emotional Images: An Evidence From EEG. IEEE Trans. Cogn. Dev. Syst. 15(4): 1732-1743 (2023) - [j157]Minqiang Yang, Chenlei Cai, Bin Hu:
Clustering Based on Eye Tracking Data for Depression Recognition. IEEE Trans. Cogn. Dev. Syst. 15(4): 1754-1764 (2023) - [j156]Fuze Tian, Lixian Zhu, Qiuxia Shi, Rui Wang, Lixin Zhang, Qunxi Dong, Kun Qian, Qinglin Zhao, Bin Hu:
The Three-Lead EEG Sensor: Introducing an EEG-Assisted Depression Diagnosis System Based on Ant Lion Optimization. IEEE Trans. Biomed. Circuits Syst. 17(6): 1305-1318 (2023) - [j155]Xiangbin Lin, Weizhuang Kong, Jianxiu Li, Xuexiao Shao, Changting Jiang, Ruilan Yu, Xiaowei Li, Bin Hu:
Aberrant Static and Dynamic Functional Brain Network in Depression Based on EEG Source Localization. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1876-1889 (2023) - [j154]Nan Chen, Man Guo, Yongchao Li, Xiping Hu, Zhijun Yao, Bin Hu:
Estimation of Discriminative Multimodal Brain Network Connectivity Using Message-Passing-Based Nonlinear Network Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2398-2406 (2023) - [j153]Kun Qian, Björn W. Schuller, Xiaohong Guan, Bin Hu:
Intelligent Music Intervention for Mental Disorders: Insights and Perspectives. IEEE Trans. Comput. Soc. Syst. 10(1): 2-9 (2023) - [j152]Fei-Yue Wang, Juanjuan Li, Rui Qin, Jing Zhu, Hong Mo, Bin Hu:
ChatGPT for Computational Social Systems: From Conversational Applications to Human-Oriented Operating Systems. IEEE Trans. Comput. Soc. Syst. 10(2): 414-425 (2023) - [j151]Jian Lu, Chang Xu, Xiaoxing Ma, Bin Hu:
Growing Software: Objective, Methodology, and Technology. IEEE Trans. Comput. Soc. Syst. 10(3): 833-842 (2023) - [j150]Xinyi Li, Hanshu Cai, Guihua Tian, Bin Hu:
Life Field Theory: An Objective Presentation of the Dynamic Evolution of Human Life. IEEE Trans. Comput. Soc. Syst. 10(4): 1423-1427 (2023) - [j149]Jianxin Wang, Min Li, Edwin Wang, Jing Tang, Bin Hu:
The Impact of Computational Drug Discovery on Society. IEEE Trans. Comput. Soc. Syst. 10(5): 2148-2159 (2023) - [j148]Yirong Wu, Xian Sun, Wenhui Diao, Wenxin Yin, Bin Hu:
Aerospace Technology in Social Applications. IEEE Trans. Comput. Soc. Syst. 10(6): 2895-2905 (2023) - [j147]Tao Chen, Richang Hong, Yanrong Guo, Shijie Hao, Bin Hu:
MS²-GNN: Exploring GNN-Based Multimodal Fusion Network for Depression Detection. IEEE Trans. Cybern. 53(12): 7749-7759 (2023) - [j146]Mingyi Sun, Weigang Cui, Yue Zhang, Shuyue Yu, Xiaofeng Liao, Bin Hu, Yang Li:
Attention-Rectified and Texture-Enhanced Cross-Attention Transformer Feature Fusion Network for Facial Expression Recognition. IEEE Trans. Ind. Informatics 19(12): 11823-11832 (2023) - [j145]Xiaoqi Sheng, Jiazhou Chen, Yong Liu, Bin Hu, Hongmin Cai:
Deep Manifold Harmonic Network With Dual Attention for Brain Disorder Classification. IEEE J. Biomed. Health Informatics 27(1): 131-142 (2023) - [j144]Hongmin Cai, Huan Liu, Defu Yang, Guorong Wu, Bin Hu, Jiazhou Chen:
Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold. IEEE J. Biomed. Health Informatics 27(5): 2411-2422 (2023) - [j143]Shuting Sun, Huayu Chen, Gang Luo, Chang Yan, Qunxi Dong, Xuexiao Shao, Xiaowei Li, Bin Hu:
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals. IEEE J. Biomed. Health Informatics 27(7): 3152-3163 (2023) - [j142]Jian Shen, Yanan Zhang, Huajian Liang, Zeguang Zhao, Kexin Zhu, Kun Qian, Qunxi Dong, Xiaowei Zhang, Bin Hu:
Depression Recognition From EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss. IEEE J. Biomed. Health Informatics 27(7): 3234-3245 (2023) - [j141]Shihao Xu, Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu:
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition. IEEE Trans. Multim. 25: 624-634 (2023) - [j140]Zepeng Li, Rikui Huang, Minyu Zhai, Zhenwen Zhang, Bin Hu:
A performant and incremental algorithm for knowledge graph entity typing. World Wide Web (WWW) 26(5): 2453-2470 (2023) - [c165]Haifeng Lu, Xiping Hu, Bin Hu:
See Your Emotion from Gait Using Unlabeled Skeleton Data. AAAI 2023: 1826-1834 - [c164]Yulong Hu, Dehui Qiu, Xiaohua Wan, Juan Zhang, Xiaotong Wang, Fa Zhang, Bin Hu:
A Tongue Feature Extraction Method Based on a Sublingual Vein Segmentation. BIBM 2023: 1138-1143 - [c163]Jian Shen, Jiaying Chen, Yu Ma, Zheyu Cao, Yanan Zhang, Bin Hu:
Explainable Depression Recognition from EEG Signals via Graph Convolutional Network. BIBM 2023: 1406-1412 - [c162]Yuhan Shi, Nan Zhao, Wenjie Yuan, Qiqi Zhao, Xiaowei Zhang, Bin Hu:
STLDA: A Spatiotemporal Linear Discriminant Analysis for Single-trial ERP-based Depression Recognition. BIBM 2023: 1413-1420 - [c161]Yongfeng Tao, Minqiang Yang, Hao Shen, Zhichao Yang, Ziru Weng, Bin Hu:
Classifying Anxiety and Depression through LLMs Virtual Interactions: A Case Study with ChatGPT. BIBM 2023: 2259-2264 - [c160]Liangliang Liu, Jing Zhu, Shuting Sun, Xiaowei Li, Guanru Wang, Bin Hu:
Attention Fusion and Abnormal Brain Topology Neural Network for Mild Depression Recognition. BIBM 2023: 2543-2550 - [c159]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 - [c158]Cong Bao, Weihao Zheng, Qin Zhang, Songyu Yang, Zhijun Yao, Bin Hu:
Adversarial U-Network for Predicting Blood Oxygen Level-Dependent Time Series. BIBM 2023: 3499-3506 - [c157]Tao Sun, Fuze Tian, Hua Jiang, Qinglin Zhao, Bin Hu:
Design and Verification of an Aromatherapy Feedback System for Mental Fatigue Based on Physiological Signals. BIBM 2023: 4140-4147 - [c156]Zhihao Bao, Kun Qian, Zhonghao Zhao, Mengkai Sun, Ruolan Huang, Dewen Xu, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Somatisation Disorder Detection via Speech: Introducing a Self-Supervised Learning Model. EMBC 2023: 1-4 - [c155]Gang Luo, Shuting Sun, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
How does Music Affect Your Brain? A Pilot Study on EEG and Music Features for Automatic Analysis. EMBC 2023: 1-4 - [c154]Zikai Song, Lixian Zhu, Yiyan Wang, Mengkai Sun, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Cutting Weights of Deep Learning Models for Heart Sound Classification: Introducing a Knowledge Distillation Approach. EMBC 2023: 1-4 - [c153]Cuiping Zhu, Zhonghao Zhao, Yang Tan, Mengkai Sun, Kun Qian, Tao Jiang, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Less is More: A Novel Feature Extraction Method for Heart Sound Classification via Fractal Transformation. EMBC 2023: 1-4 - [c152]Runze Ge, Zhihua Wang, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Speech-based Somatisation Disorder Detection. GCCE 2023: 603-605 - [c151]Luyu Chen, Lin Shen, Dan Yu, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Multi-Track Music Generation with WGAN-GP and Attention Mechanisms. GCCE 2023: 606-607 - [c150]Minki Cho, Zhonghao Zhao, Zhihua Wang, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Snore Sound Recognition via an Explainable Capsule Network. GCCE 2023: 1048-1049 - [c149]Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification. HealthCom 2023: 90-94 - [c148]Meishu Song, Andreas Triantafyllopoulos, Zijiang Yang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Xin Jing, Vincent Karas, Zhonghao Zhao, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis. ICASSP 2023: 1-5 - [c147]Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Federated Intelligent Terminals Facilitate Stuttering Monitoring. ICASSP 2023: 1-5 - [c146]Tomoya Koike, Zhihua Wang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An Investigation on Data Augmentation and Multiple Instance Learning for Diagnosis of COVID-19 from Speech and Cough Sound. ICCE-Taiwan 2023: 783-784 - [c145]Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Toru Nakamura, Yongxin Zhang, Zhao Ren, Hiroki Takeuchi, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Haojie Zhang, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction. ICDM (Workshops) 2023: 1299-1305 - [c144]Dewen Xu, Zhihua Wang, Tsuyoshi Kitajima, Toru Nakamura, Hiroko Shimura, Hiroki Takeuchi, Yang Tan, Runze Ge, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
An End-to-End Model for Mental Disorders Detection by Spontaneous Physical Activity Data. ICDM (Workshops) 2023: 1306-1312 - [c143]Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Explainable Stuttering Recognition Using Axial Attention. ICIC (3) 2023: 209-220 - [c142]Yutong Li, Zhenyu Liu, Gang Li, Qiongqiong Chen, Zhijie Ding, Xiping Hu, Bin Hu:
A Visually Interpretable Convolutional-Transformer Model for Assessing Depression from Facial Images. ICME 2023: 252-257 - [c141]Li Zhou, Zhenyu Liu, Zixuan Shangguan, Xiaoyan Yuan, Yutong Li, Bin Hu:
JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection. INTERSPEECH 2023: 3417-3421 - [c140]Yutong Li, Juan Wang, Zhenyu Liu, Li Zhou, Haibo Zhang, Cheng Tang, Xiping Hu, Bin Hu:
An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-head Attention Mechanism. PRCV (5) 2023: 252-264 - [c139]Jiayi Lei, E. Zhang, Yingying She, Xin Wang, Yuhan Liao, Bin Hu, Hang Wu, Minqiang Yang, Jiajia Tian, Yong Wang:
A Multi-Modal Behavior Quantitative Analysis Model for Autism Early Screening. SMC 2023: 5132-5139 - [i22]Hongmin Cai, Fei Qi, Junyu Li, Yu Hu, Yue Zhang, Yiu-ming Cheung, Bin Hu:
Uniform tensor clustering by jointly exploring sample affinities of various orders. CoRR abs/2302.01569 (2023) - [i21]Jing Xiong, Chengming Li, Min Yang, Xiping Hu, Bin Hu:
Expression Syntax Information Bottleneck for Math Word Problems. CoRR abs/2310.15664 (2023) - 2022
- [j139]Yujuan Xing, Zhenyu Liu, Gang Li, ZhiJie Ding, Bin Hu:
2-level hierarchical depression recognition method based on task-stimulated and integrated speech features. Biomed. Signal Process. Control. 72(Part): 103287 (2022) - [j138]Rui Li, Chao Ren, Xiaowei Zhang, Bin Hu:
A novel ensemble learning method using multiple objective particle swarm optimization for subject-independent EEG-based emotion recognition. Comput. Biol. Medicine 140: 105080 (2022) - [j137]Xia Liu, Iman Beheshti, Weihao Zheng, Yongchao Li, Shan Li, Ziyang Zhao, Zhijun Yao, Bin Hu:
Brain age estimation using multi-feature-based networks. Comput. Biol. Medicine 143: 105285 (2022) - [j136]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) - [j135]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) - [j134]Jitao Zhong, Dixin Wang, Hongtong Wu, Peng Wang, Minqiang Yang, Hong Peng, Bin Hu:
Filterable sample consensus based on angle variance for pupil segmentation. Digit. Signal Process. 130: 103695 (2022) - [j133]Zepeng Li, Jiawei Zhou, Zhengyi An, Wenchuan Cheng, Bin Hu:
Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media Data. Entropy 24(4): 442 (2022) - [j132]Haifeng Lu, Shihao Xu, Xiping Hu, Edith C. H. Ngai, Yi Guo, Wei Wang, Bin Hu:
Postgraduate Student Depression Assessment by Multimedia Gait Analysis. IEEE Multim. 29(2): 56-65 (2022) - [j131]Fa Zheng, Bin Hu, Xiangwei Zheng, Cun Ji, Ji Bian, Xiaomei Yu:
Dynamic differential entropy and brain connectivity features based EEG emotion recognition. Int. J. Intell. Syst. 37(12): 12511-12533 (2022) - [j130]Peng Zhang, Hui Gao, Zeting Hu, Meng Yang, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu:
A bias-variance evaluation framework for information retrieval systems. Inf. Process. Manag. 59(1): 102747 (2022) - [j129]Shaojie Li, Wei Li, Zejian Xing, Wenjie Yuan, Xiangyu Wei, Xiaowei Zhang, Bin Hu:
A personality-guided affective brain - computer interface for implementation of emotional intelligence in machines. Frontiers Inf. Technol. Electron. Eng. 23(8): 1158-1173 (2022) - [j128]Jingjing Yang, Haifeng Lu, Chengming Li, Xiping Hu, Bin Hu:
Data augmentation for depression detection using skeleton-based gait information. Medical Biol. Eng. Comput. 60(9): 2665-2679 (2022) - [j127]Jiaoyan Pang, Hanning Guo, Xiaochen Tang, Yu Fu, Zhengwu Yang, Yongchao Li, Na An, Jing Luo, Zhijun Yao, Bin Hu:
Uncovering the global task-modulated brain network in chunk decomposition with Chinese characters. NeuroImage 247: 118826 (2022) - [j126]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Xinwang Liu, Bin Hu:
A Self-Supervised Gait Encoding Approach With Locality-Awareness for 3D Skeleton Based Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6649-6666 (2022) - [j125]Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio self-supervised learning: A survey. Patterns 3(12): 100616 (2022) - [j124]Zhenyu Liu, Haowen Hou, Lanhui Zhang, Bin Hu:
Event-Based Bias Correction of the GPM IMERG V06 Product by Random Forest Method over Mainland China. Remote. Sens. 14(16): 3859 (2022) - [j123]Jian Shen, Xiaowei Zhang, Gang Wang, Zhijie Ding, Bin Hu:
An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection. IEEE Trans. Affect. Comput. 13(1): 262-271 (2022) - [j122]Xiaowei Zhang, Jing Pan, Jian Shen, Zia Ud Din, Junlei Li, Dawei Lu, Manxi Wu, Bin Hu:
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection. IEEE Trans. Affect. Comput. 13(2): 958-971 (2022) - [j121]Yanrong Hao, Yonghui Li, Jianxiu Li, Hong Peng, Qinglin Zhao, Bin Hu:
Abnormal Attentional Bias of Non-Drug Reward in Abstinent Heroin Addicts: An ERP Study. IEEE Trans. Affect. Comput. 13(3): 1664-1676 (2022) - [j120]Mingyi Sun, Wei-Gang Cui, Shuyue Yu, Hongbin Han, Bin Hu, Yang Li:
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition. IEEE Trans. Affect. Comput. 13(4): 2218-2228 (2022) - [j119]Fei-Yue Wang, Rui Qin, Xiao Wang, Bin Hu:
MetaSocieties in Metaverse: MetaEconomics and MetaManagement for MetaEnterprises and MetaCities. IEEE Trans. Comput. Soc. Syst. 9(1): 2-7 (2022) - [j118]Bin Hu, Jian Shen, Lixian Zhu, Qunxi Dong, Hanshu Cai, Kun Qian:
Fundamentals of Computational Psychophysiology: Theory and Methodology. IEEE Trans. Comput. Soc. Syst. 9(2): 349-355 (2022) - [j117]Fei-Yue Wang, Wenwen Ding, Rui Qin, Bin Hu:
Parallel Philosophy for MetaOrganizations With MetaOperations: From Leibniz's Monad to HanoiDAO. IEEE Trans. Comput. Soc. Syst. 9(3): 658-666 (2022) - [j116]Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu:
COVID-19's Impact on Mental Health - The Hour of Computational Aid? IEEE Trans. Comput. Soc. Syst. 9(4): 967-973 (2022) - [j115]Bin Hu, Kun Qian, Qunxi Dong, Yuejia Luo, Yoshiharu Yamamoto, Björn W. Schuller:
Psychological Field Versus Physiological Field: From Qualitative Analysis to Quantitative Modeling of the Mental Status. IEEE Trans. Comput. Soc. Syst. 9(5): 1275-1281 (2022) - [j114]Björn W. Schuller, Johanna Löchner, Kun Qian, Bin Hu:
Digital Mental Health - Breaking a Lance for Prevention. IEEE Trans. Comput. Soc. Syst. 9(6): 1584-1588 (2022) - [j113]Yang Li, Yu Liu, Yuzhu Guo, Xiaofeng Liao, Bin Hu, Tao Yu:
Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction. IEEE Trans. Cybern. 52(11): 12189-12204 (2022) - [j112]Chang Lei, Shuzhen Zheng, Xuan Zhang, Dixin Wang, Hongtong Wu, Hong Peng, Bin Hu:
Epileptic Seizure Detection in EEG Signals Using Discriminative Stein Kernel-Based Sparse Representation. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j111]Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Björn W. Schuller:
Capturing Time Dynamics From Speech Using Neural Networks for Surgical Mask Detection. IEEE J. Biomed. Health Informatics 26(8): 4291-4302 (2022) - [j110]Wei Shao, Zhiyang You, Lesheng Liang, Xiping Hu, Chengming Li, Wei Wang, Bin Hu:
A Multi-Modal Gait Analysis-Based Detection System of the Risk of Depression. IEEE J. Biomed. Health Informatics 26(10): 4859-4868 (2022) - [j109]Zhaolong Ning, Shouming Sun, MengChu Zhou, Xiping Hu, Xiaojie Wang, Lei Guo, Bin Hu, Yu-Kwong Kwok:
Online Scheduling and Route Planning for Shared Buses in Urban Traffic Networks. IEEE Trans. Intell. Transp. Syst. 23(4): 3430-3444 (2022) - [j108]Zhaolong Ning, Peiran Dong, Xiaojie Wang, Xiping Hu, Jiangchuan Liu, Lei Guo, Bin Hu, Ricky Yu-Kwong Kwok, Victor C. M. Leung:
Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks. IEEE Trans. Mob. Comput. 21(4): 1319-1333 (2022) - [j107]Zhaolong Ning, Shouming Sun, Xiaojie Wang, Lei Guo, Song Guo, Xiping Hu, Bin Hu, Ricky Yu-Kwong Kwok:
Blockchain-Enabled Intelligent Transportation Systems: A Distributed Crowdsensing Framework. IEEE Trans. Mob. Comput. 21(12): 4201-4217 (2022) - [j106]Zhengtai Xie, Long Jin, Xin Luo, Bin Hu, Shuai Li:
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5679-5691 (2022) - [j105]Junqiao Fan, Xuehe Wang, Yanxiang Guo, Xiping Hu, Bin Hu:
Federated Learning Driven Secure Internet of Medical Things. IEEE Wirel. Commun. 29(2): 68-75 (2022) - [c138]Lixian Zhu, Chang Yan, Xiaokun Jin, Fuze Tian, Yanan Zhao, Yu Ma, Yeqi Jia, Qunxi Dong, Peijing Rong, Kun Qian, Bin Hu:
When Traditional Chinese Medicine Meets AI: A Novel Depression Treatment Paradigm based on Transcutaneous Vagus Nerve Stimulation. ACIIW 2022: 1-3 - [c137]Hua Jiang, Qiuxia Shi, Siying Liu, Jiuying Zhang, Qinglin Zhao, Bin Hu:
Gaussian Decay Function-based Improved Moment Matching for Ocular Artifacts Removal. BIBM 2022: 753-756 - [c136]Zepeng Li, Peilun Geng, Shuo Cao, Bin Hu:
Few-Shot Knowledge Graph Completion based on Data Enhancement. BIBM 2022: 1607-1611 - [c135]Qiuxia Shi, Bin Hu, Fuze Tian, Qinglin Zhao:
Noncontact Doppler Radar-based Heart Rate Detection on the SVD and ANC. BIBM 2022: 1710-1713 - [c134]Shuting Sun, Chang Yan, Juntong Lyu, Yueran Xin, Jieyuan Zheng, Zhaolong Yu, Bin Hu:
EEG Based Depression Recognition by Employing Static and Dynamic Network Metrics. BIBM 2022: 1740-1744 - [c133]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 - [c132]Chao Wu, Fuze Tian, Qiuxia Shi, Qinglin Zhao, Bin Hu:
A Portable System of Mental Fatigue Detection and Mitigation based on Physiological Signals. BIBM 2022: 2957-2963 - [c131]Zepeng Li, Zhengyi An, Wenchuan Cheng, Jiawei Zhou, Bin Hu:
Using Label-text Correlation and Deviation Punishment for Fine-grained Suicide Risk Detection in Social Media. BIBM 2022: 3370-3377 - [c130]Wanyong Qiu, Kun Qian, Zhihua Wang, Yi Chang, Zhihao Bao, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
A Federated Learning Paradigm for Heart Sound Classification. EMBC 2022: 1045-1048 - [c129]Lixian Zhu, Kun Qian, Zhihua Wang, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller:
Heart Sound Classification based on Residual Shrinkage Networks. EMBC 2022: 4469-4472 - [c128]Shuai Yu, Yiwei Ding, Kun Qian, Bin Hu, Wei Li, Björn W. Schuller:
A Glance-and-Gaze Network for Respiratory Sound Classification. ICASSP 2022: 9007-9011 - [c127]Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu:
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. ICDM (Workshops) 2022: 1-8 - [c126]Yang Tan, Zhihua Wang, Kun Qian, Bin Hu, Shiliang Zhao, Björn W. Schuller, Yoshiharu Yamamoto:
Heart Sound Classification based on Fractional Fourier Transformation Entropy. LifeTech 2022: 588-589 - [c125]Jing Xiong, Chengming Li, Min Yang, Xiping Hu, Bin Hu:
Expression Syntax Information Bottleneck for Math Word Problems. SIGIR 2022: 2166-2171 - [i20]Jingjing Yang, Haifeng Lu, Chengming Li, Xiping Hu, Bin Hu:
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information. CoRR abs/2201.01115 (2022) - [i19]Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio Self-supervised Learning: A Survey. CoRR abs/2203.01205 (2022) - [i18]Xiang Li, Yazhou Zhang, Prayag Tiwari, Dawei Song, Bin Hu, Meihong Yang, Zhigang Zhao, Neeraj Kumar, Pekka Marttinen:
EEG based Emotion Recognition: A Tutorial and Review. CoRR abs/2203.11279 (2022) - [i17]Huayu Chen, Huanhuan He, Shuting Sun, Jianxiu Li, Xuexiao Shao, Junxiang Li, Xiaowei Li, Bin Hu:
Weight-based Channel-model Matrix Framework: a reasonable solution for EEG-based cross-dataset emotion recognition. CoRR abs/2209.05849 (2022) - 2021
- [j104]Yongqiang Yin, Xiangwei Zheng, Bin Hu, Yuang Zhang, Xinchun Cui:
EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM. Appl. Soft Comput. 100: 106954 (2021) - [j103]Hong Peng, Chang Lei, Shuzhen Zheng, Chengjian Zhao, Chunyun Wu, Jieqiong Sun, Bin Hu:
Automatic epileptic seizure detection via Stein kernel-based sparse representation. Comput. Biol. Medicine 132: 104338 (2021) - [j102]Nan Zhao, Dawei Lu, Kechen Hou, Meifei Chen, Xiangyu Wei, Xiaowei Zhang, Bin Hu:
Fatigue Detection with Spatial-Temporal Fusion Method on Covariance Manifolds of Electroencephalography. Entropy 23(10): 1298 (2021) - [j101]Hong Peng, Cancheng Li, Jinlong Chao, Tao Wang, Chengjian Zhao, Xiaoning Huo, Bin Hu:
A novel automatic classification detection for epileptic seizure based on dictionary learning and sparse representation. Neurocomputing 424: 179-192 (2021) - [j100]Xiping Hu, Edith C. H. Ngai, Ginevra Castellano, Bin Hu, Joel J. P. C. Rodrigues, Jaeseung Song:
Special Issue on "Toward Intelligent Internet of Medical Things and its COVID-19 Applications and Beyond". IEEE Internet Things J. 8(21): 15649-15651 (2021) - [j99]Hanshu Cai, Yi Zhang, Han Xiao, Jian Zhang, Bin Hu, Xiping Hu:
An Adaptive Neurofeedback Method for Attention Regulation Based on the Internet of Things. IEEE Internet Things J. 8(21): 15829-15838 (2021) - [j98]Fan Yang, Qilu Wu, Xiping Hu, Jiancong Ye, Yuting Yang, Haocong Rao, Rong Ma, Bin Hu:
Internet-of-Things-Enabled Data Fusion Method for Sleep Healthcare Applications. IEEE Internet Things J. 8(21): 15892-15905 (2021) - [j97]Shihao Xu, Haocong Rao, Hong Peng, Xin Jiang, Yi Guo, Xiping Hu, Bin Hu:
Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition. IEEE Internet Things J. 8(21): 15990-16001 (2021) - [j96]Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition. Inf. Sci. 569: 90-109 (2021) - [j95]Zhaolong Ning, Peiran Dong, Xiaojie Wang, Xiping Hu, Lei Guo, Bin Hu, Yi Guo, Tie Qiu, Ricky Yu-Kwong Kwok:
Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach. IEEE J. Sel. Areas Commun. 39(2): 463-478 (2021) - [j94]Weihao Zheng, Tehila Eilam-Stock, Tingting Wu, Alfredo Spagna, Chao Chen, Bin Hu, Jin Fan:
Multi-Feature Based Network Revealing the Structural Abnormalities in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. 12(3): 732-742 (2021) - [j93]Bin Hu:
A Message and Vision Statement From the New Editor-in-Chief. IEEE Trans. Comput. Soc. Syst. 8(1): 2-4 (2021) - [j92]Fei-Yue Wang, Rui Qin, Yizhu Chen, Yonglin Tian, Xiao Wang, Bin Hu:
Federated Ecology: Steps Toward Confederated Intelligence. IEEE Trans. Comput. Soc. Syst. 8(2): 271-278 (2021) - [j91]Fei-Yue Wang, Weishan Zhang, Yonglin Tian, Rui Qin, Xiao Wang, Bin Hu:
Federated Data: Toward New Generation of Credible and Trustable Artificial Intelligence. IEEE Trans. Comput. Soc. Syst. 8(3): 538-545 (2021) - [j90]Fei-Yue Wang, Jing Zhu, Rui Qin, Xiao Wang, Bin Hu:
Federated Control: Toward Information Security and Rights Protection. IEEE Trans. Comput. Soc. Syst. 8(4): 793-798 (2021) - [j89]Fei-Yue Wang, Rui Qin, Yong Yuan, Bin Hu:
Nonfungible Tokens: Constructing Value Systems in Parallel Societies. IEEE Trans. Comput. Soc. Syst. 8(5): 1062-1067 (2021) - [j88]Fei-Yue Wang, Rui Qin, Juanjuan Li, Xiao Wang, Hongwei Qi, Xiaofeng Jia, Bin Hu:
Federated Management: Toward Federated Services and Federated Security in Federated Ecology. IEEE Trans. Comput. Soc. Syst. 8(6): 1283-1290 (2021) - [j87]Xiaowei Zhang, Jinyong Liu, Jian Shen, Shaojie Li, Kechen Hou, Bin Hu, Jin Gao, Tong Zhang, Bin Hu:
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine. IEEE Trans. Cybern. 51(9): 4386-4399 (2021) - [j86]Xiaowei Zhang, Dawei Lu, Jing Pan, Jian Shen, Manxi Wu, Xiping Hu, Bin Hu:
Fatigue Detection With Covariance Manifolds of Electroencephalography in Transportation Industry. IEEE Trans. Ind. Informatics 17(5): 3497-3507 (2021) - [j85]Jian Shen, Xiaowei Zhang, Xiao Huang, Manxi Wu, Jin Gao, Dawei Lu, Zhijie Ding, Bin Hu:
An Optimal Channel Selection for EEG-Based Depression Detection via Kernel-Target Alignment. IEEE J. Biomed. Health Informatics 25(7): 2545-2556 (2021) - [j84]Zhaolong Ning, Kaiyuan Zhang, Xiaojie Wang, Lei Guo, Xiping Hu, Jun Huang, Bin Hu, Ricky Yu-Kwong Kwok:
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution. IEEE Trans. Intell. Transp. Syst. 22(4): 2212-2225 (2021) - [j83]Zhaolong Ning, Kaiyuan Zhang, Xiaojie Wang, Mohammad S. Obaidat, Lei Guo, Xiping Hu, Bin Hu, Yi Guo, Balqies Sadoun, Ricky Yu-Kwong Kwok:
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System. IEEE Trans. Intell. Transp. Syst. 22(8): 5201-5212 (2021) - [j82]Zhaolong Ning, Peiran Dong, Xiaojie Wang, Shupeng Wang, Xiping Hu, Song Guo, Tie Qiu, Bin Hu, Ricky Yu-Kwong Kwok:
Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks. IEEE Trans. Parallel Distributed Syst. 32(6): 1277-1292 (2021) - [j81]Minqiang Yang, Yu Ma, Zhenyu Liu, Hanshu Cai, Xiping Hu, Bin Hu:
Undisturbed Mental State Assessment in the 5G Era: A Case Study of Depression Detection Based on Facial Expressions. IEEE Wirel. Commun. 28(3): 46-53 (2021) - [c124]Shilin Zhang, Bin Hu, Ji Bian, Mingzhe Zhang, Xiangwei Zheng:
A Novel Emotion Recognition Method Incorporating MST-based Brain Network and FVMD-GAMPE. BIBM 2021: 1153-1158 - [c123]Fa Zheng, Bin Hu, Shilin Zhang, Yalin Li, Xiangwei Zheng:
EEG Emotion Recognition based on Hierarchy Graph Convolution Network. BIBM 2021: 1628-1632 - [c122]Zepeng Li, Yufeng Zhang, Rikui Huang, Zhenwen Zhang, Jianghong Zhu, Zhihua Guo, Bin Hu:
Construction of Depression Knowledge Graph Based on Biomedical Literature. BIBM 2021: 1849-1855 - [c121]Yalin Li, Bin Hu, Fa Zheng, Xiangwei Zheng:
A Mild Depression Recognition with Classifier Combination Method Based on Differential Evolution. BIBM 2021: 2780-2787 - [c120]Yunzhi Cui, Fuze Tian, Qinglin Zhao, Bin Hu:
Design and Application of a Portable Sleep Inertia Detection System Based on EEG Signals. BIBM 2021: 3012-3017 - [c119]Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification. IJCAI 2021: 973-980 - [c118]Xiangyu Wei, Meifei Chen, Manxi Wu, Xiaowei Zhang, Bin Hu:
EEG-Based Depression Detection with a Synthesis-Based Data Augmentation Strategy. ISBRA 2021: 484-496 - [c117]Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu:
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification. ACM Multimedia 2021: 1812-1820 - [c116]Minqiang Yang, Yinru Ye, Kai Ye, Xiping Hu, Bin Hu:
Retinal Vessel Segmentation Using Multi-scale Generative Adversarial Network with Class Activation Mapping. MobiHealth 2021: 95-105 - [i16]Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Multi-Level Graph Encoding with Structural-Collaborative Relation Learning for Skeleton-Based Person Re-Identification. CoRR abs/2106.03069 (2021) - [i15]Haocong Rao, Xiping Hu, Jun Cheng, Bin Hu:
SM-SGE: A Self-Supervised Multi-Scale Skeleton Graph Encoding Framework for Person Re-Identification. CoRR abs/2107.01903 (2021) - [i14]Kai Ye, Yinru Ye, Minqiang Yang, Bin Hu:
Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation. CoRR abs/2107.02494 (2021) - [i13]Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR abs/2111.01351 (2021) - 2020
- [j80]Chengsheng Mao, Lijuan Lu, Bin Hu:
Local probabilistic model for Bayesian classification: A generalized local classification model. Appl. Soft Comput. 93: 106379 (2020) - [j79]Mi Li, Lei Cao, Qian Zhai, Peng Li, Sa Liu, Richeng Li, Lei Feng, Gang Wang, Bin Hu, Shengfu Lu:
Method of Depression Classification Based on Behavioral and Physiological Signals of Eye Movement. Complex. 2020: 4174857:1-4174857:9 (2020) - [j78]Hanshu Cai, Zhidiao Qu, Zhe Li, Yi Zhang, Xiping Hu, Bin Hu:
Feature-level fusion approaches based on multimodal EEG data for depression recognition. Inf. Fusion 59: 127-138 (2020) - [j77]Zhaolong Ning, Xiping Hu, Zhikui Chen, Mengchu Zhou, Bin Hu, Jun Cheng, Mohammad S. Obaidat:
Corrections to "A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles". IEEE Internet Things J. 7(7): 6663 (2020) - [j76]Xiaojie Wang, Yufan Feng, Zhaolong Ning, Xiping Hu, Xiangjie Kong, Bin Hu, Yi Guo:
A collective filtering based content transmission scheme in edge of vehicles. Inf. Sci. 506: 161-173 (2020) - [j75]Peiran Dong, Zhaolong Ning, Mohammad S. Obaidat, Xin Jiang, Yi Guo, Xiping Hu, Bin Hu, Balqies Sadoun:
Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things. IEEE Netw. 34(5): 254-261 (2020) - [j74]Hanshu Cai, Xiangzi Zhang, Yanhao Zhang, Ziyang Wang, Bin Hu:
A Case-Based Reasoning Model for Depression Based on Three-Electrode EEG Data. IEEE Trans. Affect. Comput. 11(3): 383-392 (2020) - [j73]Yuan Zong, Wenming Zheng, Zhen Cui, Guoying Zhao, Bin Hu:
Toward Bridging Microexpressions From Different Domains. IEEE Trans. Cybern. 50(12): 5047-5060 (2020) - [j72]Quansi Wen, Choujun Zhan, Ying Gao, Xiping Hu, Edith C. H. Ngai, Bin Hu:
Modeling Human Activity With Seasonality Bursty Dynamics. IEEE Trans. Ind. Informatics 16(2): 1130-1139 (2020) - [j71]Zhaolong Ning, Ye Li, Peiran Dong, Xiaojie Wang, Mohammad S. Obaidat, Xiping Hu, Lei Guo, Yi Guo, Jun Huang, Bin Hu:
When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data. IEEE Trans. Ind. Informatics 16(2): 1352-1361 (2020) - [j70]Jie Li, Jinsong Wu, Bin Hu, Chonggang Wang, Mahmoud Daneshmand, Reza Malekian:
Introduction to the Special Section on Big Data and Artificial Intelligence for Network Technologies. IEEE Trans. Netw. Sci. Eng. 7(1): 1-2 (2020) - [c115]Xiaoxuan Qiu, Fuze Tian, Qiuxia Shi, Qinglin Zhao, Bin Hu:
Designing and Application of Wearable Fatigue Detection System Based on Multimodal Physiological Signals. BIBM 2020: 716-722 - [c114]Min Zhang, Bin Hu, Xiangwei Zheng, Tiantian Li:
A Novel Multidimensional Feature Extraction Method Based on VMD and WPD for Emotion Recognition. BIBM 2020: 1216-1220 - [c113]Shuting Sun, Huayu Chen, Xuexiao Shao, Liangliang Liu, Xiaowei Li, Bin Hu:
EEG Based Depression Recognition by Combining Functional Brain Network and Traditional Biomarkers. BIBM 2020: 2074-2081 - [c112]Xiaofang Sun, Bin Hu, Xiangwei Zheng, Yongqiang Yin, Cun Ji:
Emotion Classification Based on Brain Functional Connectivity Network. BIBM 2020: 2082-2089 - [c111]Zhihua Guo, Enli Fu, Jing Pan, Xiaowei Zhang, Bin Hu:
Anxiety Detection with Nonlinear Group Correlation Fusion of Electroencephalogram and Eye Movement. BIBM 2020: 2596-2602 - [c110]Xiaowei Zhang, Junlei Li, Kechen Hou, Bin Hu, Jian Shen, Jing Pan:
EEG-based Depression Detection Using Convolutional Neural Network with Demographic Attention Mechanism. EMBC 2020: 128-133 - [c109]Yongchao Li, Nan Chen, Yin Wang, Lin Yang, Weihao Zheng, Zhijun Yao, Bin Hu:
Integration of a novel attribute and classical topology metrics of hyper-networks for automatic diagnosis of Major depressive disorder. HealthCom 2020: 1-6 - [c108]Haifeng Lu, Wei Shao, Edith C. H. Ngai, Xiping Hu, Bin Hu:
A New Skeletal Representation Based on Gait for Depression Detection. HealthCom 2020: 1-6 - [c107]Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu:
Multi-Level Co-Occurrence Graph Convolutional LSTM for Skeleton-Based Action Recognition. HealthCom 2020: 1-7 - [c106]Minqiang Yang, Jingsheng Tang, Yushan Wu, Zhenyu Liu, Xiping Hu, Bin Hu:
A Behaviour Patterns Extraction Method for Recognizing Generalized Anxiety Disorder. HealthCom 2020: 1-4 - [c105]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. IJCAI 2020: 898-905 - [c104]Xue Jia, Tong Zhang, C. L. Philip Chen, Zhulin Liu, Long Chen, Guihua Wen, Bin Hu:
Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System. SMC 2020: 2452-2457 - [i12]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) - [i11]Shuting Sun, Jianxiu Li, Huayu Chen, Tao Gong, Xiaowei Li, Bin Hu:
A study of resting-state EEG biomarkers for depression recognition. CoRR abs/2002.11039 (2020) - [i10]Zhenyu Liu, Dongyu Wang, Lan Zhang, Bin Hu:
A Novel Decision Tree for Depression Recognition in Speech. CoRR abs/2002.12759 (2020) - [i9]Shihao Xu, Jing Fang, Xiping Hu, Edith C. H. Ngai, Yi Guo, Victor C. M. Leung, Jun Cheng, Bin Hu:
Emotion Recognition From Gait Analyses: Current Research and Future Directions. CoRR abs/2003.11461 (2020) - [i8]Haocong Rao, Shihao Xu, Xiping Hu, Jun Cheng, Bin Hu:
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition. CoRR abs/2008.00188 (2020) - [i7]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu:
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification. CoRR abs/2008.09435 (2020) - [i6]Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Yi Guo, Jun Cheng, Bin Hu, Xinwang Liu:
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification. CoRR abs/2009.03671 (2020) - [i5]Shihao Xu, Haocong Rao, Xiping Hu, Bin Hu:
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition. CoRR abs/2011.07236 (2020)
2010 – 2019
- 2019
- [j69]Yalin Li, Bin Hu, Xiangwei Zheng, Xiaowei Li:
EEG-Based Mild Depressive Detection Using Differential Evolution. IEEE Access 7: 7814-7822 (2019) - [j68]Yan Chen, Qinglin Zhao, Xiping Hu, Bin Hu:
Multi-Resolution Parallel Magnetic Resonance Image Reconstruction in Mobile Computing-Based IoT. IEEE Access 7: 15623-15633 (2019) - [j67]Lina Xu, Zhijun Yao, Jing Li, Chen Lv, Huaxiang Zhang, Bin Hu:
Sparse Feature Learning With Label Information for Alzheimer's Disease Classification Based on Magnetic Resonance Imaging. IEEE Access 7: 26157-26167 (2019) - [j66]Ying Li, Yixian Fang, Huaxiang Zhang, Bin Hu:
Self-Weighting Grading Biomarker Based on Graph-Guided Information Propagation for the Prediction of Mild Cognitive Impairment Conversion. IEEE Access 7: 116632-116642 (2019) - [j65]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) - [j64]Long Jin, Shuai Li, Bin Hu, Mei Liu:
A survey on projection neural networks and their applications. Appl. Soft Comput. 76: 533-544 (2019) - [j63]Long Jin, Shuai Li, Hung Manh La, Xin Zhang, Bin Hu:
Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach. Autom. 100: 75-81 (2019) - [j62]Xiaojie Wang, Zhaolong Ning, MengChu Zhou, Xiping Hu, Lei Wang, Yan Zhang, Fei Richard Yu, Bin Hu:
Privacy-Preserving Content Dissemination for Vehicular Social Networks: Challenges and Solutions. IEEE Commun. Surv. Tutorials 21(2): 1314-1345 (2019) - [j61]Jiao Zhang, Xiping Hu, Zhaolong Ning, Edith C. H. Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu, Victor C. M. Leung:
Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching. IEEE Internet Things J. 6(3): 4283-4294 (2019) - [j60]Long Jin, Shuai Li, Bin Hu, Mei Liu, Jiguo Yu:
A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach. IEEE Trans. Ind. Informatics 15(1): 236-246 (2019) - [j59]Xiaogang Yan, Mei Liu, Long Jin, Shuai Li, Bin Hu, Xin Zhang, Zhiguan Huang:
New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators. IEEE Trans. Ind. Informatics 15(9): 5011-5022 (2019) - [j58]Zhaolong Ning, Yufan Feng, Mario Collotta, Xiangjie Kong, Xiaojie Wang, Lei Guo, Xiping Hu, Bin Hu:
Deep Learning in Edge of Vehicles: Exploring Trirelationship for Data Transmission. IEEE Trans. Ind. Informatics 15(10): 5737-5746 (2019) - [j57]Xiaowei Zhang, Jian Shen, Zia Ud Din, Jinyong Liu, Gang Wang, Bin Hu:
Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble. IEEE J. Biomed. Health Informatics 23(6): 2265-2275 (2019) - [j56]Xiaojie Wang, Zhaolong Ning, Xiping Hu, Lei Wang, Bin Hu, Jun Cheng, Victor C. M. Leung:
Optimizing Content Dissemination for Real-Time Traffic Management in Large-Scale Internet of Vehicle Systems. IEEE Trans. Veh. Technol. 68(2): 1093-1105 (2019) - [j55]Xiaojie Wang, Zhaolong Ning, Xiping Hu, Lei Wang, Lei Guo, Bin Hu, Xinyu Wu:
Future Communications and Energy Management in the Internet of Vehicles: Toward Intelligent Energy-Harvesting. IEEE Wirel. Commun. 26(6): 87-93 (2019) - [c103]Jian Shen, Xiaowei Zhang, Junlei Li, Yuanxi Li, Lei Feng, Changqing Hu, Zhijie Ding, Gang Wang, Bin Hu:
Depression Detection from Electroencephalogram Signals Induced by Affective Auditory Stimuli. ACII 2019: 76-82 - [c102]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 - [c101]Min Zhang, Bin Hu, Yuang Zhang, Xiangwei Zheng:
An Analysis Method for Subliminal Affective Priming Effect Based on CEEMDAN and MPE. ChineseCSCW 2019: 323-334 - [c100]Yongqiang Yin, Bin Hu, Tiantian Li, Xiangwei Zheng:
Classification of Subliminal Affective Priming Effect Based on AE and SVM. ChineseCSCW 2019: 778-788 - [c99]Zeyu Chen, Fuze Tian, Qinglin Zhao, Bin Hu:
A Non-contact and Unconstrained Sleep Health Monitoring System. HCC 2019: 56-66 - [c98]Weihao Zheng, Hanshu Cai, Zhijun Yao, Xiaowei Zhang, Xiaowei Li, Bin Hu:
Modelling Mental States via Computational Psychophysiology: Benefits and Challenges. HCC 2019: 659-670 - [c97]Minqiang Yang, Jingsheng Tang, Longzhe Tang, Bin Hu:
Smartphone Behavior Based Electronical Scale Validity Assessment Framework. IScIDE (2) 2019: 418-429 - [c96]Shengzhen Ruan, Bin Hu, Kyeong Jin Kim, Qiang Li, Lei Yuan, Long Jin, Jiliang Zhang:
Diversity Analysis for Spatial Scattering Modulation in Millimeter Wave MIMO System. WCSP 2019: 1-5 - [i4]Da Sun Handason Tam, Wing Cheong Lau, Bin Hu, Qiufang Ying, Dah Ming Chiu, Hong Liu:
Identifying Illicit Accounts in Large Scale E-payment Networks - A Graph Representation Learning Approach. CoRR abs/1906.05546 (2019) - 2018
- [j54]Yanxiang Guo, Xiping Hu, Bin Hu, Jun Cheng, Mengchu Zhou, Ricky Yu-Kwong Kwok:
Mobile Cyber Physical Systems: Current Challenges and Future Networking Applications. IEEE Access 6: 12360-12368 (2018) - [j53]Xiping Hu, Jun Cheng, Mengchu Zhou, Bin Hu, Xin Jiang, Yi Guo, Kun Bai, Fei Wang:
Emotion-Aware Cognitive System in Multi-Channel Cognitive Radio Ad Hoc Networks. IEEE Commun. Mag. 56(4): 180-187 (2018) - [j52]Xiaojie Wang, Zhaolong Ning, Xiping Hu, Edith C. H. Ngai, Lei Wang, Bin Hu, Ricky Yu-Kwong Kwok:
A City-Wide Real-Time Traffic Management System: Enabling Crowdsensing in Social Internet of Vehicles. IEEE Commun. Mag. 56(9): 19-25 (2018) - [j51]Haihua Jiang, Bin Hu, Zhenyu Liu, Gang Wang, Lan Zhang, Xiaoyu Li, Huanyu Kang:
Detecting Depression Using an Ensemble Logistic Regression Model Based on Multiple Speech Features. Comput. Math. Methods Medicine 2018: 6508319:1-6508319:9 (2018) - [j50]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) - [j49]Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen, Jürg Gutknecht:
A Pervasive Approach to EEG-Based Depression Detection. Complex. 2018: 5238028:1-5238028:13 (2018) - [j48]Xiaofeng Liu, Bin Hu, Xiangwei Zheng, Xiaowei Li:
Facial expression awareness based on multi-scale permutation entropy of EEG. Int. J. Data Min. Bioinform. 21(4): 287-300 (2018) - [j47]Long Jin, Shuai Li, Bin Hu, Chenfu Yi:
Dynamic neural networks aided distributed cooperative control of manipulators capable of different performance indices. Neurocomputing 291: 50-58 (2018) - [j46]Zhaolong Ning, Xiping Hu, Zhikui Chen, MengChu Zhou, Bin Hu, Jun Cheng, Mohammad S. Obaidat:
A Cooperative Quality-Aware Service Access System for Social Internet of Vehicles. IEEE Internet Things J. 5(4): 2506-2517 (2018) - [j45]Jiao Zhang, Xiping Hu, Zhaolong Ning, Edith C. H. Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu:
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks. IEEE Internet Things J. 5(4): 2633-2645 (2018) - [j44]Xiaojie Wang, Zhaolong Ning, MengChu Zhou, Xiping Hu, Lei Wang, Bin Hu, Ricky Yu-Kwong Kwok, Yi Guo:
A Privacy-Preserving Message Forwarding Framework for Opportunistic Cloud of Things. IEEE Internet Things J. 5(6): 5281-5295 (2018) - [j43]Li Liu, Shu Wang, Bin Hu, Qingyu Xiong, Junhao Wen, David S. Rosenblum:
Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition. Pattern Recognit. 81: 545-561 (2018) - [j42]Lei Guo, Zhaolong Ning, Weigang Hou, Bin Hu, Pengxing Guo:
Quick Answer for Big Data in Sharing Economy: Innovative Computer Architecture Design Facilitating Optimal Service-Demand Matching. IEEE Trans Autom. Sci. Eng. 15(4): 1494-1506 (2018) - [j41]Bin Hu, Xiaowei Li, Shuting Sun, Martyn Ratcliffe:
Attention Recognition in EEG-Based Affective Learning Research Using CFS+KNN Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 38-45 (2018) - [j40]Jin Liu, Jianxin Wang, Zhenjun Tang, Bin Hu, Fang-Xiang Wu, Yi Pan:
Improving Alzheimer's Disease Classification by Combining Multiple Measures. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1649-1659 (2018) - [j39]Bin Hu, Yongqiang Dai, Yun Su, Philip Moore, Xiaowei Zhang, Chengsheng Mao, Jing Chen, Lixin Xu:
Feature Selection for Optimized High-Dimensional Biomedical Data Using an Improved Shuffled Frog Leaping Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 15(6): 1765-1773 (2018) - [j38]Tong Zhang, C. L. Philip Chen, Long Chen, Xiangmin Xu, Bin Hu:
Design of Highly Nonlinear Substitution Boxes Based on I-Ching Operators. IEEE Trans. Cybern. 48(12): 3349-3358 (2018) - [j37]Long Jin, Shuai Li, Bin Hu:
RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective. IEEE Trans. Ind. Informatics 14(1): 189-199 (2018) - [j36]Yiqiang Chen, Chunyu Hu, Bin Hu, Lisha Hu, Han Yu, Chunyan Miao:
Inferring Cognitive Wellness from Motor Patterns. IEEE Trans. Knowl. Data Eng. 30(12): 2340-2353 (2018) - [c95]Yonghao Ma, Fuze Tian, Qinglin Zhao, Bin Hu:
Design and Application of Mental Fatigue Detection System Using Non-Contact ECG and BCG Measurement. BIBM 2018: 1508-1513 - [c94]Fa Zheng, Bin Hu, Xiangwei Zheng:
Facial Expression Recognition Algorithm Based on Equal Probability Symbolization Entropy. ChineseCSCW 2018: 469-477 - [c93]Song Zhang, Bin Hu, Tiantian Li, Xiangwei Zheng:
A Study on Emotion Recognition Based on Hierarchical Adaboost Multi-class Algorithm. ICA3PP (2) 2018: 105-113 - [c92]Xuexiao Shao, Bin Hu, Yalin Li, Xiangwei Zheng:
A Study of Sleep Stages Threshold Based on Multiscale Fuzzy Entropy. ICA3PP (3) 2018: 239-248 - [c91]Yun Su, Bin Hu, Yongqiang Dai, Juan Rao:
A Computationally Grounded Model of Emotional BDI-Agents. ICIC (1) 2018: 444-453 - [i3]Chengsheng Mao, Bin Hu, Lei Chen, Philip Moore, Xiaowei Zhang:
Local Distribution in Neighborhood for Classification. CoRR abs/1812.02934 (2018) - [i2]Chengsheng Mao, Lijuan Lu, Bin Hu:
Local Probabilistic Model for Bayesian Classification: a Generalized Local Classification Model. CoRR abs/1812.05221 (2018) - 2017
- [j35]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) - [j34]Xiang Li, Dawei Song, Peng Zhang, Yuexian Hou, Bin Hu:
Deep fusion of multi-channel neurophysiological signal for emotion recognition and monitoring. Int. J. Data Min. Bioinform. 18(1): 1-27 (2017) - [j33]Xiang-Wei Zheng, Bin Hu, Dianjie Lu, Zhenhua Chen, Hong Liu:
Energy-efficient virtual network embedding in networks for cloud computing. Int. J. Web Grid Serv. 13(1): 75-93 (2017) - [j32]Li Liu, Shu Wang, Guoxin Su, Bin Hu, Yuxin Peng, Qingyu Xiong, Junhao Wen:
A framework of mining semantic-based probabilistic event relations for complex activity recognition. Inf. Sci. 418: 13-33 (2017) - [j31]Jing Chen, Bin Hu, Yue Wang, Philip Moore, Yongqiang Dai, Lei Feng, Zhijie Ding:
Subject-independent emotion recognition based on physiological signals: a three-stage decision method. BMC Medical Informatics Decis. Mak. 17(S-3): 45-57 (2017) - [j30]Haihua Jiang, Bin Hu, Zhenyu Liu, Lihua Yan, Tianyang Wang, Fei Liu, Huanyu Kang, Xiaoyu Li:
Investigation of different speech types and emotions for detecting depression using different classifiers. Speech Commun. 90: 39-46 (2017) - [j29]Zhiyong Chen, Wei Zhang, Bin Hu, Xiaochun Cao, Si Liu, Dan Meng:
Retrieving Objects by Partitioning. IEEE Trans. Big Data 3(1): 44-54 (2017) - [j28]Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu:
A Distribution Separation Method Using Irrelevance Feedback Data for Information Retrieval. ACM Trans. Intell. Syst. Technol. 8(3): 46:1-46:26 (2017) - [c90]Hong Peng, Jinlong Chao, Yongzong Wang, Bin Hu, Dennis Majoe:
Single-trial classification of fNIRS signal measured from prefrontal cortex during four directions motor imagery tasks. BIBM 2017: 360-366 - [c89]Xiaowei Zhang, Yuan Yao, Manman Wang, Jian Shen, Lei Feng, Bin Hu:
Normalized mutual information feature selection for electroencephalogram data based on grassberger entropy estimator. BIBM 2017: 648-652 - [c88]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 - [c87]Hailiang Long, Zhenghao Guo, Xia Wu, Bin Hu, Zhenyu Liu, Hanshu Cai:
Detecting depression in speech: Comparison and combination between different speech types. BIBM 2017: 1052-1058 - [c86]Xuexiao Shao, Bin Hu, Xiangwei Zheng:
A Study on Automatic Sleep Stage Classification Based on Clustering Algorithm. BI 2017: 139-148 - [c85]Shengjie Zhao, Qinglin Zhao, Xiaowei Zhang, Hong Peng, Zhijun Yao, Jian Shen, Yuan Yao, Hua Jiang, Bin Hu:
Wearable EEG-Based Real-Time System for Depression Monitoring. BI 2017: 190-201 - [c84]Hanshu Cai, Yanhao Zhang, Xiaocong Sha, Bin Hu:
Study on Depression Classification Based on Electroencephalography Data Collected by Wearable Devices. BI 2017: 244-253 - [c83]Zhenyu Liu, Bin Hu, Xiaoyu Li, Fei Liu, Gang Wang, Jing Yang:
Detecting Depression in Speech Under Different Speaking Styles and Emotional Valences. BI 2017: 261-271 - [c82]Hanshu Cai, Ziyang Wang, Yanhao Zhang, Yunfei Chen, Bin Hu:
A Virtual-Reality Based Neurofeedback Game Framework for Depression Rehabilitation using Pervasive Three-Electrode EEG Collector. ChineseCSCW 2017: 173-176 - [c81]Song Zhang, Bin Hu, Xiangwei Zheng:
A Study on Automatic Sleep Staging Algorithm Based on Improved SVM. ChineseCSCW 2017: 225-228 - [c80]Jingying Wang, Xiaoyun Sui, Bin Hu, Jonathan Flint, Shuotian Bai, Yuanbo Gao, Yang Zhou, Tingshao Zhu:
Detecting Postpartum Depression in Depressed People by Speech Features. HCC 2017: 433-442 - [c79]Bin Hu, Qinglin Zhao, Shuangshuang Zhou, Hong Peng, Quanying Liu:
Risky Decision-Making in Abstinent Heroin Addicts: an ERP Study. ICBBT 2017: 33-38 - [c78]Yanxiang Guo, Xiaoyi Yang, Jiao Zhang, Chunbin Zhong, Yilong Li, Xiping Hu, Bin Hu, Jun Cheng, Zhaolong Ning:
Poster: Emotion-Aware Smart Tips for Healthy and Happy Sleep. MobiCom 2017: 549-551 - [c77]Xiping Hu, Kun Bai, Jun Cheng, Jun-qi Deng, Yanxiang Guo, Bin Hu, Arun Sai Krishnan, Fei Wang:
MeDJ: Multidimensional Emotion-aware Music Delivery for Adolescent. WWW (Companion Volume) 2017: 793-794 - 2016
- [j27]Xiaowei Li, Bin Hu, Shuting Sun, Hanshu Cai:
EEG-based mild depressive detection using feature selection methods and classifiers. Comput. Methods Programs Biomed. 136: 151-161 (2016) - [j26]Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu:
Generalized Analysis of a Distribution Separation Method. Entropy 18(4): 105 (2016) - [j25]Min Chen, Yujun Ma, Jeungeun Song, Chin-Feng Lai, Bin Hu:
Smart Clothing: Connecting Human with Clouds and Big Data for Sustainable Health Monitoring. Mob. Networks Appl. 21(5): 825-845 (2016) - [j24]Li Liu, Shu Wang, Yuxin Peng, Zi-Gang Huang, Ming Liu, Bin Hu:
Mining intricate temporal rules for recognizing complex activities of daily living under uncertainty. Pattern Recognit. 60: 1015-1028 (2016) - [c76]Bin Hu:
Computational psychophysiology based research methodology for mental health. BIBM 2016: 1 - [c75]Xiang Li, Dawei Song, Peng Zhang, Guangliang Yu, Yuexian Hou, Bin Hu:
Emotion recognition from multi-channel EEG data through Convolutional Recurrent Neural Network. BIBM 2016: 352-359 - [c74]Jing Chen, Bin Hu, Yue Wang, Yongqiang Dai, Yuan Yao, Shengjie Zhao:
A three-stage decision framework for multi-subject emotion recognition using physiological signals. BIBM 2016: 470-474 - [c73]Qinglin Zhao, Bin Hu, Wenhua Lin, Zhixue Li, Hua Jiang, Zhong Xue, Hongqian Li, Quanying Liu:
Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts. BIBM 2016: 533-537 - [c72]Zhijun Yao, Bin Hu, Xuejiao Chen, Yuanwei Xie, Lei Fang:
Modular reconfiguration of metabolic brain networks in health and cancer: A resting-state PET study. BIBM 2016: 1040-1046 - [c71]Zhenyu Liu, Lihua Yan, Tianyang Wang, Bin Hu, Fei Liu:
Assessing stress levels via speech using three reading patterns. BIBM 2016: 1201-1206 - [c70]Hanshu Cai, Xiaocong Sha, Xue Han, Shixin Wei, Bin Hu:
Pervasive EEG diagnosis of depression using Deep Belief Network with three-electrodes EEG collector. BIBM 2016: 1239-1246 - [c69]Xiaowei Li, Zhuang Jing, Bin Hu, Shuting Sun:
An EEG-based study on coherence and brain networks in mild depression cognitive process. BIBM 2016: 1275-1282 - [c68]Zhijun Yao, Bin Hu, Huailiang Nan, Weihao Zheng, Yuanwei Xie:
Individual metabolic network for the accurate detection of Alzheimer's disease based on FDGPET imaging. BIBM 2016: 1328-1335 - [c67]Yan Chen, Qinglin Zhao, Bin Hu, Jianpeng Li, Hua Jiang, Wenhua Lin, Yang Li, Shuangshuang Zhou, Hong Peng:
A method of removing Ocular Artifacts from EEG using Discrete Wavelet Transform and Kalman Filtering. BIBM 2016: 1485-1492 - [c66]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 - [c65]Xiaowei Li, Tong Cao, Bin Hu, Shuting Sun, Jianxiu Li:
EEG Topography and Tomography (sLORETA) in Analysis of Abnormal Brain Region for Mild Depression. BIH 2016: 304-311 - [c64]Zhenyu Liu, Bin Hu, Fei Liu, Huanyu Kang, Xiaoyu Li, Lihua Yan, Tianyang Wang:
Evaluation of Depression Severity in Speech. BIH 2016: 312-321 - [c63]Xiaowei Li, Tong Cao, Shuting Sun, Bin Hu, Martyn Ratcliffe:
Classification study on eye movement data: Towards a new approach in depression detection. CEC 2016: 1227-1232 - [c62]Guangliang Yu, Xiang Li, Dawei Song, Xiaozhao Zhao, Peng Zhang, Yuexian Hou, Bin Hu:
Encoding physiological signals as images for affective state recognition using convolutional neural networks. EMBC 2016: 812-815 - [c61]Jing Yang, Jitao Qin, Hanshu Cai, Quanli Han, Entan Ma, Guosheng Zhao, Bin Hu:
Outcome Anticipation and Appraisal During Risk Decision Making in Heroin Addicts. HCC 2016: 534-543 - [c60]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 - [c59]Jinning Zhao, Rong Ma, Bin Hu, Guoping Gao, Lele He, Xiaolong Tian:
Frequency Domain and Time Domain Study of a Novel Compact CPW Fed Monopole UWB Antenna with L Shaped Slots for Band Notched Characteristics. HCC 2016: 567-577 - [p3]Jing Chen, Bin Hu, Philip Moore, Xiaowei Zhang:
Ontology-Based Model for Mining User's Emotions on the Wisdom Web. Semantic Web Technologies for Intelligent Engineering Applications 2016: 121-153 - [p2]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 - 2015
- [j23]Hong Liu, Peng Zhang, Bin Hu, Philip Moore:
A novel approach to task assignment in a cooperative multi-agent design system. Appl. Intell. 43(1): 162-175 (2015) - [j22]Jing Chen, Bin Hu, Philip Moore, Xiaowei Zhang, Xu Ma:
Electroencephalogram-based emotion assessment system using ontology and data mining techniques. Appl. Soft Comput. 30: 663-674 (2015) - [j21]Zhijun Yao, Bin Hu, Yuanwei Xie, Philip Moore, Jiaxiang Zheng:
A review of structural and functional brain networks: small world and atlas. Brain Informatics 2(1): 45-52 (2015) - [j20]Xiaowei Li, Bin Hu, Tingting Xu, Ji Shen, Martyn Ratcliffe:
A study on EEG-based brain electrical source of mild depressed subjects. Comput. Methods Programs Biomed. 120(3): 135-141 (2015) - [j19]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) - [j18]Xiaowei Li, Bin Hu, Ji Shen, Tingting Xu, Martyn Ratcliffe:
Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks. J. Medical Syst. 39(12): 187 (2015) - [j17]Haihua Jiang, Bin Hu:
基于PCA和SVM的普通话语音情感识别 (Speech Emotion Recognition in Mandarin Based on PCA and SVM). 计算机科学 42(11): 270-273 (2015) - [c58]Philip Moore, Hai Van Pham, Bin Hu, Hong Liu, Tarik Qassem:
Machine Cognition and the Integration of Emotional Response in the Monitoring of Mental Disorders. 3PGCIC 2015: 372-379 - [c57]Zhenyu Liu, Bin Hu, Lihua Yan, Tianyang Wang, Fei Liu, Xiaoyu Li, Huanyu Kang:
Detection of depression in speech. ACII 2015: 743-747 - [c56]Jing Chen, Bin Hu, Lixin Xu, Philip Moore, Yun Su:
Feature-level fusion of multimodal physiological signals for emotion recognition. BIBM 2015: 395-399 - [c55]Yongqiang Dai, Bin Hu, Yun Su, Chengsheng Mao, Jing Chen, Xiaowei Zhang, Philip Moore, Lixin Xu, Hanshu Cai:
Feature selection of high-dimensional biomedical data using improved SFLA for disease diagnosis. BIBM 2015: 458-463 - [c54]Bin Hu, Chengsheng Mao, Xiaowei Zhang, Yongqiang Dai:
Bayesian classification with local probabilistic model assumption in aiding medical diagnosis. BIBM 2015: 691-694 - [c53]Bin Hu, Zhenyu Liu, Lihua Yan, Tianyang Wang, Fei Liu, Xiaoyu Li, Huanyu Kang:
Feature selection and classification of speech under long-term stress. BIBM 2015: 904-910 - [c52]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 - [c51]Ming-Hou Sun, Qinglin Zhao, Bin Hu, Yan Chen, Lijuan Xu, Hong Peng:
The Research of Depression Based on Power Spectrum. BIH 2015: 401-409 - [c50]Hanshu Cai, Shixin Wei, Xue Han, Lijuan Xu, Xiaocong Sha, Bin Hu:
Brief Discussion on Current Computerized Cognitive Behavioral Therapy. BIH 2015: 420-431 - [c49]Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore:
EEG-based biometric identification using local probability centers. IJCNN 2015: 1-8 - [c48]Chengsheng Mao, Bin Hu, Manman Wang, Philip Moore:
Learning from neighborhood for classification with local distribution characteristics. IJCNN 2015: 1-8 - [c47]Philip Moore, Andrew M. Thomas, Tarik Qassem, Nik Bessis, Bin Hu:
Monitoring Patients with Mental Disorders. IMIS 2015: 65-70 - [c46]Chengsheng Mao, Bin Hu, Philip Moore, Yun Su, Manman Wang:
Nearest Neighbor Method Based on Local Distribution for Classification. PAKDD (1) 2015: 239-250 - [i1]Peng Zhang, Qian Yu, Yuexian Hou, Dawei Song, Jingfei Li, Bin Hu:
Further Theoretical Study of Distribution Separation Method for Information Retrieval. CoRR abs/1510.03299 (2015) - 2014
- [j16]Xiaowei Zhang, Bin Hu, Xu Ma, Philip Moore, Jing Chen:
Ontology driven decision support for the diagnosis of mild cognitive impairment. Comput. Methods Programs Biomed. 113(3): 781-791 (2014) - [c45]Zhijun Yao, Bin Hu, Yuanwei Xie, Wei Wang, Ruiyue Liu, Chuanjiang Liang, Yun Su:
Functional network disruption in attention deficit hyperactivity disorder. BIBM 2014: 84-90 - [c44]Yun Su, Bin Hu, Lixin Xu, Hanshu Cai, Philip Moore, Xiaowei Zhang, Jing Chen:
EmotionO+: Physiological signals knowledge representation and emotion reasoning model for mental health monitoring. BIBM 2014: 529-535 - [c43]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 - [c42]Rui Huang, Fei Heng, Bin Hu, Hong Peng, Qinglin Zhao, Qiuxia Shi, Jun Han:
Artifacts Reduction Method in EEG Signals with Wavelet Transform and Adaptive Filter. Brain Informatics and Health 2014: 122-131 - [c41]Peng Zhang, Linxue Hao, Dawei Song, Jun Wang, Yuexian Hou, Bin Hu:
Generalized Bias-Variance Evaluation of TREC Participated Systems. CIKM 2014: 1911-1914 - [c40]Bing Li, Bin Hu, Xiaowei Li, Juan Rao, Manman Wang, Hanshu Cai:
A Study on Attention Allocation of Psychological Distress Students Based on Eye Movement Data Analysis. HCC 2014: 104-114 - [c39]Philip Moore, Tarik Qassem, Bin Hu, Swaran Singh:
A Systemic Strategy for Context-Aware Decision-Support in the Healthcare Domain. HCC 2014: 560-572 - 2013
- [j15]Hong Peng, Bin Hu, Fang Zheng, Dangping Fan, Wen Zhao, Xuebin Chen, Yongxia Yang, Qingcui Cai:
A method of identifying chronic stress by EEG. Pers. Ubiquitous Comput. 17(7): 1341-1347 (2013) - [j14]Hong Peng, Bin Hu, Qiuxia Shi, Martyn Ratcliffe, Qinglin Zhao, Yanbing Qi, Guoping Gao:
Removal of Ocular Artifacts in EEG - An Improved Approach Combining DWT and ANC for Portable Applications. IEEE J. Biomed. Health Informatics 17(3): 600-607 (2013) - [j13]Xiaowei Zhang, Bin Hu, Jing Chen, Philip Moore:
Ontology-based context modeling for emotion recognition in an intelligent web. World Wide Web 16(4): 497-513 (2013) - [c38]Dazhao Pan, Peng Zhang, Jingfei Li, Dawei Song, Ji-Rong Wen, Yuexian Hou, Bin Hu, Yuan Jia, Anne N. De Roeck:
Using Dempster-Shafer's Evidence Theory for Query Expansion Based on Freebase Knowledge. AIRS 2013: 121-132 - [c37]Dawei Song, Yanjie Shi, Peng Zhang, Yuexian Hou, Bin Hu, Yuan Jia, Qiang Huang, Udo Kruschwitz, Anne N. De Roeck, Peter Bruza:
Optimization of an Integrated Model for Automatic Reduction and Expansion of Long Queries. AIRS 2013: 133-144 - [c36]Yang Li, Bin Hu, Qinglin Zhao, Hong Peng, Yujun Shi, Yunpeng Li, Philip Moore:
The removal of ocular artifactsfrom EEG signals: An adaptive modeling technique for portable applications. BIBM 2013: 222-228 - [c35]Xiaowei Zhang, Bin Hu, Lin Zhou, Jing Chen, Philip Moore:
An XML format for electroencephalogram data presentation (eegML). BIBM 2013: 584-588 - [c34]Haining Sun, Bin Hu, Zhijun Yao, Mike Jackson:
A PET study of discrimination of cerebral glucose metabolism in Alzheimer's disease and mild cognitive impairment. BMEI 2013: 6-11 - [c33]Mingqi Zhao, Qinglin Zhao, Quanying Liu, Na Li, Hong Peng, Bin Hu:
A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research. Brain and Health Informatics 2013: 336-347 - [c32]Jing Chen, Bin Hu, Na Li, Chengsheng Mao, Philip Moore:
A Multimodal Emotion-Focused e-health Monitoring Support System. CISIS 2013: 505-510 - [c31]Hong Peng, Bin Hu, Lanlan Li, Martyn Ratcliffe, Jingwei Zhai, Qinglin Zhao, Qiuxia Shi, Yunpeng Li, Quanying Liu:
A study on validity of cortical alpha connectivity for schizophrenia. EMBC 2013: 3286-3290 - [c30]Na Li, Bin Hu, Jing Chen, Hong Peng, Qinglin Zhao, Mingqi Zhao:
Investigation of Chronic Stress Differences between Groups Exposed to Three Stressors and Normal Controls by Analyzing EEG Recordings. ICONIP (2) 2013: 512-521 - [c29]Guoping Gao, Bin Hu, Jianyuan Zhang, Xiaodong Cong, Lele He, Jianyuan Zhang:
Transfer Function Characteristics of a Printed Rectangular Dipole UWB Antenna. ICPCA/SWS 2013: 99-109 - [c28]Guoqing Zhao, Bin Hu, Xiaowei Li, Chengsheng Mao, Rui Huang:
A Pervasive Stress Monitoring System Based on Biological Signals. IIH-MSP 2013: 530-534 - [c27]Qunxi Dong, Bin Hu, Jianyuan Zhang, Xiaowei Li, Martyn Ratcliffe:
A study on visual attention modeling - A linear regression method based on EEG. IJCNN 2013: 1-6 - [c26]Wei Wang, Bin Hu, Zhijun Yao, Mike Jackson, Ruiyue Liu, Chuanjiang Liang:
Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study. IJCNN 2013: 1-6 - 2012
- [c25]Xiaowei Zhang, Bin Hu, Lin Zhou, Philip Moore, Jing Chen:
An EEG Based Pervasive Depression Detection for Females. ICPCA/SWS 2012: 848-861 - 2011
- [j12]Bin Hu, Dennis Majoe, Martyn Ratcliffe, Yanbing Qi, Qinglin Zhao, Hong Peng, Dangping Fan, Fang Zheng, Mike Jackson, Philip Moore:
EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges. IEEE Intell. Syst. 26(5): 46-53 (2011) - [c24]Bin Hu, Quanying Liu, Qinglin Zhao, Yanbing Qi, Hong Peng:
A Real-Time Electroencephalogram (EEG) Based Individual Identification Interface for Mobile Security in Ubiquitous Environment. APSCC 2011: 436-441 - [c23]Zhijun Yao, Bin Hu, Lina Zhao, Chuanjiang Liang:
Analysis of Gray Matter in AD Patients and MCI Subjects Based Voxel-Based Morphometry. Brain Informatics 2011: 209-217 - [c22]Philip Moore, Bin Hu, Mike Jackson:
Rule Strategies for Intelligent Context-Aware Systems: The Application of Conditional Relationships in Decision-Support. CISIS 2011: 9-16 - [c21]Bin Hu, Fang Zheng, Li Liu:
Ubiquitous awareness and intelligent solutions lab: Lanzhou University. CSCW 2011: 151-158 - [c20]Bin Hu, Li Liu, Jürg Gutknecht:
Ubiquitous affective awareness and intelligent interaction 2011. UbiComp 2011: 633-634 - [c19]Xiaowei Zhang, Bin Hu, Philip Moore, Jing Chen, Lin Zhou:
Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognition. ICONIP (2) 2011: 89-98 - [c18]Hong Peng, Bin Hu, Quanying Liu, Qunxi Dong, Qinglin Zhao, Philip Moore:
User-centered depression prevention: An EEG approach to pervasive healthcare. PervasiveHealth 2011: 325-330 - [c17]Hong Peng, Bin Hu, Yanbing Qi, Qinglin Zhao, Martyn Ratcliffe:
An improved EEG de-noising approach in electroencephalogram (EEG) for home care. PervasiveHealth 2011: 469-474 - [e2]Ning Zhong, Vic Callaghan, Ali A. Ghorbani, Bin Hu:
Active Media Technology - 7th International Conference, AMT 2011, Lanzhou, China, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science 6890, Springer 2011, ISBN 978-3-642-23619-8 [contents] - [e1]Bin Hu, Jiming Liu, Lin Chen, Ning Zhong:
Brain Informatics - International Conference, BI 2011, Lanzhou, China, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science 6889, Springer 2011, ISBN 978-3-642-23604-4 [contents] - 2010
- [j11]Xiaowei Li, Qinglin Zhao, Bin Hu, Li Liu, Hong Peng, Yanbing Qi, Chengsheng Mao, Zheng Fang, Quanying Liu:
Improve Affective Learning with EEG Approach. Comput. Informatics 29(4): 557-570 (2010) - [j10]Tingshao Zhu, Bin Hu, Jingzhi Yan, Xiaowei Li:
Semi-Supervised Learning for Personalized Web Recommender System. Comput. Informatics 29(4): 617-627 (2010) - [j9]Li Liu, Lian Li, Bin Hu:
Algorithms for k-fault tolerant power assignments in wireless sensor networks. Sci. China Inf. Sci. 53(12): 2527-2537 (2010) - [j8]Philip Moore, Bin Hu, JiZheng Wan:
Smart-Context: A Context Ontology for Pervasive Mobile Computing. Comput. J. 53(2): 191-207 (2010) - [j7]Bin Hu:
Special issue: pervasive computing meets reality. Clust. Comput. 13(2): 111-112 (2010) - [j6]Bin Hu, Bo Hu, JiZheng Wan, Fang Zheng, Li Liu:
UWMAIS: ubiquitous water monitoring platform. Clust. Comput. 13(2): 153-165 (2010) - [j5]Li Liu, Bin Hu, Lian Li:
Algorithms for energy efficient mobile object tracking in wireless sensor networks. Clust. Comput. 13(2): 181-197 (2010) - [j4]Bin Hu:
Special issue: pervasive computing technology and its applications. Wirel. Commun. Mob. Comput. 10(10): 1281-1282 (2010) - [j3]Bin Hu, Bo Hu, JiZheng Wan, Dennis Majoe, Hsiao-Hwa Chen, Lian Li, Qingguo Zhou:
Ontology-based ubiquitous monitoring and treatment against depression. Wirel. Commun. Mob. Comput. 10(10): 1303-1319 (2010) - [j2]Qingguo Zhou, Shuwei Bai, Bin Hu, Nicholas McGuire, Lian Li:
A novel portable multimedia QoS monitor: independent and high efficiency. Wirel. Commun. Mob. Comput. 10(10): 1320-1333 (2010) - [c16]Qinglin Zhao, Hong Peng, Bin Hu, Quanying Liu, Li Liu, Yanbing Qi, Lanlan Li:
Improving Individual Identification in Security Check with an EEG Based Biometric Solution. Brain Informatics 2010: 145-155 - [c15]Philip Moore, Mike Jackson, Bin Hu:
Constraint Satisfaction in Intelligent Context-Aware Systems. CISIS 2010: 75-80 - [c14]Robert Ashford, Philip Moore, Bin Hu, Mike Jackson, JiZheng Wan:
Translational Research and Context in Health Monitoring Systems. CISIS 2010: 81-86 - [c13]Bin Hu:
Towards to Ubiquitous Affective Learning. GPC 2010: 4 - [c12]JiZheng Wan, Bin Hu, Xiaowei Li:
EEG: A Way to Explore Learner's Affect in Pervasive Learning Systems. GPC 2010: 109-119 - [c11]Qinglin Zhao, Hong Peng, Bin Hu, Lanlan Li, Yanbing Qi, Quanying Liu, Li Liu:
Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification. UIC 2010: 534-547 - [p1]Philip Moore, Mike Jackson, Bin Hu:
Fuzzy ECA Rules for Pervasive Decision-Centric Personalised Mobile Learning. Computational Intelligence for Technology Enhanced Learning 2010: 25-58
2000 – 2009
- 2009
- [j1]Bin Hu, Bo Hu, JiZheng Wan, Huilan Nie, Chongzhi Zhai:
Safe river water: A ubiquitous and collaborative water quality monitoring solution. Pervasive Mob. Comput. 5(5): 419-431 (2009) - [c10]Bin Hu:
Affective Learning with an EEG Approach. Brain Informatics 2009: 11 - [c9]Philip Moore, Bin Hu, Mike Jackson, JiZheng Wan:
Intelligent Context for Personalised M-Learning. CISIS 2009: 247-254 - [c8]Fang Zheng, Bin Hu, Li Liu, Tingshao Zhu, Yongchang Li, Yanbing Qi:
Fuzzy Logic in Exploring Data Effects: A Way to Unveil Uncertainty in EEG Feedback. HCI (11) 2009: 754-763 - [c7]Li Liu, Bin Hu, Huifang Miao, Hao Li, Lian Li, Qinglin Zhao:
Achieving Energy Conservation, Coverage and Connectivity Requirements in Wireless Sensor Networks. ICDCS Workshops 2009: 227-232 - [c6]Xiaowei Li, Bin Hu, Tingshao Zhu, Jingzhi Yan, Fang Zheng:
Towards affective learning with an EEG feedback approach. MTDL@MM 2009: 33-38 - 2007
- [c5]Bin Hu, Philip Moore, Hsiao-Hwa Chen:
A Semantic Context Model for Location-Based Cooperative Mobile Computing. ICC 2007: 326-331 - 2006
- [c4]Bin Hu, Philip Moore:
"SmartContext": An Ontology Based Context Model for Cooperative Mobile Learning. CSCWD (Selected Papers) 2006: 717-726 - [c3]Philip Moore, Bin Hu:
A Context Framework with Ontology for Personalised and Cooperative Mobile Learning. CSCWD (Selected Papers) 2006: 727-738 - [c2]Bin Hu, Philip Moore:
Context Modelling to Support Location Based Cooperative Mobile Learning. CSCWD 2006: 1372-1376 - [c1]Philip Moore, Bin Hu:
A Context Framework for Entity Identification for the Personalisation of Learning in Pedagogic Systems. CSCWD 2006: 1381-1386
Coauthor Index
Zhijie Ding
aka: ZhiJie Ding
aka: ZhiJie Ding
[j185] [j154] [j141] [c165] [c142] [c140] [i21] [j132] [j128] [j126] [j110] [j109] [j108] [j107] [j105] [c125] [i20] [j100] [j99] [j98] [j97] [j96] [j95] [j86] [j84] [j83] [j82] [j81] [c119] [c117] [c116] [i16] [i15] [j78] [j77] [j76] [j75] [j72] [j71] [c108] [c107] [c106] [c105] [i12] [i9] [i8] [i7] [i6] [i5] [j68] [j62] [j61] [j58] [j56] [j55] [j54] [j53] [j52] [j46] [j45] [j44] [c78] [c77]
Yu-Kwong Kwok
aka: Ricky Yu-Kwong Kwok
aka: Ricky Yu-Kwong Kwok
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