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2020 – today
- 2025
- [j78]Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Jinliang Yao:
SF-GAN: Semantic fusion generative adversarial networks for text-to-image synthesis. Expert Syst. Appl. 262: 125583 (2025) - 2024
- [j77]Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong:
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection. J. Classif. 41(1): 129-157 (2024) - [j76]Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong:
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment. Health Inf. Sci. Syst. 12(1): 9 (2024) - [j75]Wenhui Zhou, Yuhan Wang, Liangyan Mo, Changsheng Li, Mingyue Xu, Wanzeng Kong, Guojun Dai:
Temporal-channel cascaded transformer for imagined handwriting character recognition. Neurocomputing 573: 127243 (2024) - [j74]Bowen Pang, Yong Peng, Jian Gao, Wanzeng Kong:
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition. Medical Biol. Eng. Comput. 62(9): 2805-2824 (2024) - [j73]Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao:
Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition. IEEE Trans. Cogn. Dev. Syst. 16(4): 1248-1259 (2024) - [j72]Jiajia Tang, Yutao Yang, Qibin Zhao, Yu Ding, Jianhai Zhang, Yang Song, Wanzeng Kong:
Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j71]Kun Yang, Ruochen Li, Jing Xu, Li Zhu, Wanzeng Kong, Jianhai Zhang:
DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning. IEEE J. Biomed. Health Informatics 28(8): 4625-4635 (2024) - [j70]Hong Zeng, Yue Zhao, Fabio Babiloni, Ming Tao, Wanzeng Kong, Guojun Dai:
A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method. IEEE J. Biomed. Health Informatics 28(11): 6498-6511 (2024) - [j69]Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Yong Peng:
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis. IEEE Trans. Multim. 26: 6956-6967 (2024) - [j68]Xuanyu Jin, Ni Li, Wanzeng Kong, Jiajia Tang, Bing Yang:
Unbiased Semantic Representation Learning Based on Causal Disentanglement for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 249:1-249:20 (2024) - [c47]Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong:
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. LREC/COLING 2024: 5843-5855 - [c46]Chengxi Zhu, Yong Peng, Yinfeng Fang, Wanzeng Kong:
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition. ICASSP 2024: 1896-1900 - [c45]Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong:
AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition. ICASSP 2024: 4030-4034 - [c44]Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong:
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models. ICME 2024: 1-6 - [c43]Jinghao Li, Jiajia Tang, Wanzeng Kong, Yanyan Ying:
Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition. IJCNN 2024: 1-8 - [c42]Yiming Zhang, Hangjie Yi, Wanzeng Kong:
A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption. IJCNN 2024: 1-10 - [i7]Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong:
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models. CoRR abs/2403.10021 (2024) - [i6]Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong:
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. CoRR abs/2403.10214 (2024) - [i5]Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong:
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning. CoRR abs/2407.21416 (2024) - [i4]Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, Feng Xia:
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction. CoRR abs/2408.07100 (2024) - 2023
- [j67]Ting Wang, Jianpeng Tang, Chenghao Wang, Donghui Yang, Jingqi Li, Wanzeng Kong, Xugang Xi:
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network. Biomed. Signal Process. Control. 79(Part): 104264 (2023) - [j66]Hong Zeng, Nianzhang Xia, Dongguan Qian, Motonobu Hattori, Chu Wang, Wanzeng Kong:
DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image. Biomed. Signal Process. Control. 86(Part A): 105125 (2023) - [j65]Yue Zhao, Hong Zeng, Haohao Zheng, Jing Wu, Wanzeng Kong, Guojun Dai:
A bidirectional interaction-based hybrid network architecture for EEG cognitive recognition. Comput. Methods Programs Biomed. 238: 107593 (2023) - [j64]Wanzeng Kong, Shijie Guo, Yanfang Long, Yong Peng, Hong Zeng, Xinyu Zhang, Jianhai Zhang:
Weighted extreme learning machine for P300 detection with application to brain computer interface. J. Ambient Intell. Humaniz. Comput. 14(11): 15545-15555 (2023) - [j63]Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong:
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition. J. King Saud Univ. Comput. Inf. Sci. 35(8): 101648 (2023) - [j62]Jing Li, Junhong Wang, Ting Wang, Wanzeng Kong, Xugang Xi:
Quantification of body ownership awareness induced by the visual movement illusion of the lower limbs: a study of electroencephalogram and surface electromyography. Medical Biol. Eng. Comput. 61(5): 951-965 (2023) - [j61]Ming Meng, Yu Zhang, Yuliang Ma, Yunyuan Gao, Wanzeng Kong:
EEG-based emotion recognition with cascaded convolutional recurrent neural networks. Pattern Anal. Appl. 26(2): 783-795 (2023) - [j60]Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao, Wanzeng Kong:
Brain-Machine Coupled Learning Method for Facial Emotion Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10703-10717 (2023) - [j59]Menghang Li, Min Qiu, Wanzeng Kong, Li Zhu, Yu Ding:
Fusion Graph Representation of EEG for Emotion Recognition. Sensors 23(3): 1404 (2023) - [j58]Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong:
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis. Syst. 11(1): 44 (2023) - [j57]Wanzeng Kong, Min Qiu, Menghang Li, Xuanyu Jin, Li Zhu:
Causal Graph Convolutional Neural Network for Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 15(4): 1686-1693 (2023) - [j56]Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong:
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1966-1978 (2023) - [j55]Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong:
Two-Dimensional Embedded Fuzzy Data Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 7(4): 1263-1275 (2023) - [j54]Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization. IEEE Trans. Emerg. Top. Comput. Intell. 7(6): 1687-1701 (2023) - [j53]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [c41]Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong:
Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis. EMNLP (Findings) 2023: 11345-11358 - [i3]Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong:
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition. CoRR abs/2312.09538 (2023) - 2022
- [j52]Ming Meng, Jiahao Hu, Yunyuan Gao, Wanzeng Kong, Zhizeng Luo:
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition. Biomed. Signal Process. Control. 78: 103873 (2022) - [j51]Xuying Xu, Zhenyu Zhu, Yihong Wang, Rubin Wang, Wanzeng Kong, Jianhai Zhang:
Odor pattern recognition of a novel bio-inspired olfactory neural network based on kernel clustering. Commun. Nonlinear Sci. Numer. Simul. 109: 106274 (2022) - [j50]Bin Ren, Kun Yang, Li Zhu, Lang Hu, Tao Qiu, Wanzeng Kong, Jianhai Zhang:
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke. Frontiers Comput. Neurosci. 16: 785397 (2022) - [j49]Jinchao Zheng, Rubin Wang, Wanzeng Kong, Jianhai Zhang:
A new patterns of self-organization activity of brain: Neural energy coding. Inf. Sci. 608: 1747-1755 (2022) - [j48]Ruiqi Guo, Yong Peng, Wanzeng Kong, Fan Li:
A semi-supervised label distribution learning model with label correlations and data manifold exploration. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 10094-10108 (2022) - [j47]Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jinliang Yao:
Adaptive multi-task learning using lagrange multiplier for automatic art analysis. Multim. Tools Appl. 81(3): 3715-3733 (2022) - [j46]Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong:
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG. Syst. 10(2): 47 (2022) - [j45]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j44]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j43]Jin Cui, Xuanyu Jin, Hua Hu, Li Zhu, Kenji Ozawa, Gang Pan, Wanzeng Kong:
Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection. IEEE Trans. Cogn. Dev. Syst. 14(4): 1705-1716 (2022) - [j42]Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu:
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3349-3353 (2022) - [j41]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j40]Hong Zeng, Qi Wu, Yanping Jin, Haohao Zheng, Mingming Li, Yue Zhao, Hua Hu, Wanzeng Kong:
Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [j39]Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu:
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j38]Xugang Xi, Jinsuo Ding, Junhong Wang, Yun-Bo Zhao, Ting Wang, Wanzeng Kong, Jingqi Li:
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy. IEEE J. Biomed. Health Informatics 26(10): 5085-5096 (2022) - [c40]Qiquan Cui, Xuanyu Jin, Weichen Dai, Wanzeng Kong:
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic. HBAI@IJCAI 2022: 99-109 - [c39]Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao:
MMT: Multi-way Multi-modal Transformer for Multimodal Learning. IJCAI 2022: 3458-3465 - [c38]Jiwei Guo, Jiajia Tang, Weichen Dai, Yu Ding, Wanzeng Kong:
Dynamically Adjust Word Representations Using Unaligned Multimodal Information. ACM Multimedia 2022: 3394-3402 - [i2]Feng Qiu, Chengyang Xie, Yu Ding, Wanzeng Kong:
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis. CoRR abs/2212.08661 (2022) - [i1]Feng Qiu, Wanzeng Kong, Yu Ding:
InterMulti: Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis. CoRR abs/2212.10030 (2022) - 2021
- [j37]Qizhong Zhang, Ji Ding, Wanzeng Kong, Yang Liu, Qian Wang, Tiejia Jiang:
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM. Biomed. Signal Process. Control. 64: 102293 (2021) - [j36]Qizhong Zhang, Bin Guo, Wanzeng Kong, Xugang Xi, Yizhi Zhou, Farong Gao:
Tensor-based dynamic brain functional network for motor imagery classification. Biomed. Signal Process. Control. 69: 102940 (2021) - [j35]Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei:
Sub-band target alignment common spatial pattern in brain-computer interface. Comput. Methods Programs Biomed. 207: 106150 (2021) - [j34]Yuxuan Zhu, Yong Peng, Yang Song, Kenji Ozawa, Wanzeng Kong:
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 104-A(2): 563-571 (2021) - [j33]Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge:
Fuzzy graph clustering. Inf. Sci. 571: 38-49 (2021) - [j32]Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong:
Auto-weighted concept factorization for joint feature map and data representation learning. J. Intell. Fuzzy Syst. 41(1): 69-81 (2021) - [j31]Wanzeng Kong, Xulin Song, Junfeng Sun:
Emotion recognition based on sparse representation of phase synchronization features. Multim. Tools Appl. 80(14): 21203-21217 (2021) - [j30]Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang:
Transfer of semi-supervised broad learning system in electroencephalography signal classification. Neural Comput. Appl. 33(16): 10597-10613 (2021) - [j29]Wenna Huang, Yong Peng, Yuan Ge, Wanzeng Kong:
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation. PeerJ Comput. Sci. 7: e450 (2021) - [j28]Fangyao Shen, Yong Peng, Wanzeng Kong, Guojun Dai:
Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition. Sensors 21(4): 1262 (2021) - [j27]Hui Huang, Jianhai Zhang, Li Zhu, Jiajia Tang, Guang Lin, Wanzeng Kong, Xu Lei, Lei Zhu:
EEG-Based Sleep Staging Analysis with Functional Connectivity. Sensors 21(6): 1988 (2021) - [j26]Hong Zeng, Xiufeng Li, Gianluca Borghini, Yue Zhao, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Wael Zakaria, Wanzeng Kong, Fabio Babiloni:
An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction. Sensors 21(7): 2369 (2021) - [j25]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [c37]Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong:
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) 2021: 5301-5311 - [c36]Yuxuan Zhu, Kenji Ozawa, Wanzeng Kong:
EEGNetT: EEG-based neural network for emotion recognition in real-world applications. LifeTech 2021: 376-378 - 2020
- [j24]Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki:
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97(Part): 106756 (2020) - [j23]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang:
Low rank spectral regression via matrix factorization for efficient subspace learning. J. Intell. Fuzzy Syst. 39(3): 3401-3412 (2020) - [j22]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang:
Joint low-rank representation and spectral regression for robust subspace learning. Knowl. Based Syst. 195: 105723 (2020) - [j21]Hong Zeng, Jia-ming Zhang, Wael Zakaria, Fabio Babiloni, Gianluca Borghini, Xiufeng Li, Wanzeng Kong:
InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection. Sensors 20(24): 7251 (2020) - [j20]Hong-xiang Hu, Qian Zhou, Guanghui Wen, Wenwu Yu, Wanzeng Kong:
Robust Distributed Stabilization of Heterogeneous Agents Over Cooperation-Competition Networks. IEEE Trans. Circuits Syst. II Express Briefs 67-II(8): 1419-1423 (2020) - [c35]Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP 2020: 946-950 - [c34]Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie:
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. ICONIP (5) 2020: 11-20 - [c33]Wenfen Ling, Feipeng Xu, Qiaonan Fan, Yong Peng, Wanzeng Kong:
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI. Intelligent Information Processing 2020: 169-179 - [c32]Yuxi Liu, Jianhai Zhang, Bohui Zhang, Wanzeng Kong:
Ballistocardiogram Artifact Removal for Concurrent EEG-fMRI Recordings Using Blind Source Separation Based on Dictionary Learning. Intelligent Information Processing 2020: 180-191 - [c31]Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong:
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. HBAI@IJCAI 2020: 149-162
2010 – 2019
- 2019
- [j19]Wanzeng Kong, Luyun Wang, Sijia Xu, Fabio Babiloni, Hang Chen:
EEG Fingerprints: Phase Synchronization of EEG Signals as Biomarker for Subject Identification. IEEE Access 7: 121165-121173 (2019) - [j18]Hong Zeng, Chen Yang, Hua Zhang, Zhenhua Wu, Jiaming Zhang, Guojun Dai, Fabio Babiloni, Wanzeng Kong:
A LightGBM-Based EEG Analysis Method for Driver Mental States Classification. Comput. Intell. Neurosci. 2019: 3761203:1-3761203:11 (2019) - [j17]Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019) - [j16]Zhi Li, Jianhui Zhang, Jiayu Gan, Pengqian Lu, Zhigang Gao, Wanzeng Kong:
Large-scale trip planning for bike-sharing systems. Pervasive Mob. Comput. 54: 16-28 (2019) - [c30]Jianhai Zhang, Chongwei Su, Dariusz Zapala, Li Zhu, Gaochao Cui, Wanzeng Kong:
A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI. BIBM 2019: 770-773 - [c29]Jianhai Zhang, Hongyan Xu, Li Zhu, Wanzeng Kong, Zheng Ma:
Gender recognition in emotion perception using EEG features. BIBM 2019: 2883-2887 - [c28]Wenfen Ling, Wanzeng Kong, Yanfang Long, Can Yang, Xuanyu Jin:
Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence. CIVEMSA 2019: 1-5 - [c27]Li Zhu, Chongwei Su, Gaochao Cui, Changle Zhou, Jianhai Zhang, Wanzeng Kong:
Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network. CW 2019: 225-230 - [c26]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c25]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c24]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - [c23]Yanfang Long, Wanzeng Kong, Xuanyu Jin, Jili Shang, Can Yang:
Visualizing Emotional States: A Method Based on Human Brain Activity. HBAI@IJCAI 2019: 248-258 - [c22]Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao:
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling. NeurIPS 2019: 12113-12122 - 2018
- [j15]Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei:
Personal Identification Based on Brain Networks of EEG Signals. Int. J. Appl. Math. Comput. Sci. 28(4): 745-757 (2018) - [j14]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification. Complex. 2018: 2857594:1-2857594:11 (2018) - [j13]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification". Complex. 2018: 6975152:1 (2018) - [j12]Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun:
The Dynamic EEG Microstates in Mental Rotation. Sensors 18(9): 2920 (2018) - [c21]Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida:
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning. APSIPA 2018: 493-497 - [c20]Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-Independent EEG Identification via Low-Rank Matrix Decomposition. BIBM 2018: 412-419 - [c19]Jianhai Zhang, Shaokai Zhao, Guodong Yang, Jiajia Tang, Tao Zhang, Yong Peng, Wanzeng Kong:
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals. BIBM 2018: 1045-1048 - [c18]Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Peng:
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG. BIBM 2018: 1135-1138 - [c17]Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie:
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. ICASSP 2018: 2216-2220 - [c16]Yanfang Long, Wanzeng Kong, Wenfen Ling, Can Yang, Jieyong Zhu:
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features. ICCSIP (2) 2018: 162-172 - [c15]Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida:
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network. DSP 2018: 1-5 - [c14]Leijie Zhang, Xin Zhu, Yong Peng, Wanzeng Kong:
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering. ISCID (2) 2018: 33-36 - 2017
- [j11]Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini:
Assessment of driving fatigue based on intra/inter-region phase synchronization. Neurocomputing 219: 474-482 (2017) - [j10]Yong Peng, Wanzeng Kong, Bing Yang:
Orthogonal extreme learning machine for image classification. Neurocomputing 266: 458-464 (2017) - [j9]Wanzeng Kong, Jinshuai Yu, Ying Cheng, Weihua Cong, Huanhuan Xue:
Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging. J. Sensors 2017: 8231314:1-8231314:8 (2017) - [c13]Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang:
Task-Free Brainprint Recognition Based on Degree of Brain Networks. ICONIP (2) 2017: 709-717 - [c12]Xuefeng Lei, Luyun Wang, Wanzeng Kong, Yong Peng, Sanqing Hu, Hong Zeng, Guojun Dai, Ruoyu Jin, Junfeng Sun, Shanbao Tong:
Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification. NER 2017: 114-117 - 2016
- [j8]Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma:
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1429-1444 (2016) - [j7]Sanqing Hu, Xinxin Jia, Jianhai Zhang, Wanzeng Kong, Yu Cao:
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2588-2601 (2016) - [c11]Wanzeng Kong, Yan Liu, Bei Jiang, Guojun Dai, Lin Xu:
A New EEG Signal Processing Method Based on Low-Rank and Sparse Decomposition. ICCSIP 2016: 556-564 - 2015
- [j6]Wanzeng Kong, Lingxiao Zhou, Yizhi Wang, Jianhai Zhang, Jianhui Liu, Shenyong Gao:
A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device. J. Sensors 2015: 548602:1-548602:11 (2015) - [j5]Wanzeng Kong, Weicheng Lin, Fabio Babiloni, Sanqing Hu, Gianluca Borghini:
Investigating Driver Fatigue versus Alertness Using the Granger Causality Network. Sensors 15(8): 19181-19198 (2015) - [c10]Xinxin Jia, Sanqing Hu, Jianhai Zhang, Wanzeng Kong:
Blockwise Granger causality and blockwise new causality. ICACI 2015: 421-425 - [c9]Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Alfredo Colosimo, Simone Pozzi, Stefano Bonelli, Alessia Golfetti, Wanzeng Kong, Fabio Babiloni:
On the Use of Cognitive Neurometric Indexes in Aeronautic and Air Traffic Management Environments. Symbiotic 2015: 45-56 - 2014
- [c8]Anton Giulio Maglione, Gianluca Borghini, Pietro Aricò, F. Borgia, Ilenia Graziani, Alfredo Colosimo, Wanzeng Kong, Giovanni Vecchiato, Fabio Babiloni:
Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices. EMBC 2014: 6238-6241 - [c7]Giovanni Vecchiato, Gianluca Di Flumeri, Anton Giulio Maglione, Patrizia Cherubino, Wanzeng Kong, Arianna Trettel, Fabio Babiloni:
An electroencephalographic Peak Density Function to detect memorization during the observation of TV commercials. EMBC 2014: 6969-6972 - [c6]Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao:
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery. IJCNN 2014: 3178-3185 - 2013
- [j4]Wanzeng Kong, Sanqing Hu, Jianhai Zhang, Guojun Dai:
Robust and smart spectral clustering from normalized cut. Neural Comput. Appl. 23(5): 1503-1512 (2013) - [j3]Sanqing Hu, Qiangqiang Tian, Yu Cao, Jianhai Zhang, Wanzeng Kong:
Motor imagery classification based on joint regression model and spectral power. Neural Comput. Appl. 23(7-8): 1931-1936 (2013) - [j2]Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni, Guojun Dai:
Automatic and Direct Identification of Blink Components from Scalp EEG. Sensors 13(8): 10783-10801 (2013) - 2012
- [c5]Sanqing Hu, Yu Cao, Shihui Chen, Jianhai Zhang, Wanzeng Kong, Kun Yang, Xun Li, Yanbin Zhang:
A Comparative Study of Two Reference Estimation Methods in EEG Recording. BICS 2012: 321-328 - [c4]Gianluca Borghini, Giovanni Vecchiato, Jlenia Toppi, Laura Astolfi, Anton Giulio Maglione, R. Isabella, C. Caltagirone, Wanzeng Kong, Daming Wei, Z. Zhou, L. Polidori, S. Vitiello, Fabio Babiloni:
Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices. EMBC 2012: 6442-6445 - 2011
- [j1]Giovanni Vecchiato, Laura Astolfi, Fabrizio de Vico Fallani, Jlenia Toppi, Fabio Aloise, Francesco Bez, Daming Wei, Wanzeng Kong, Guojun Dai, Febo Cincotti, Donatella Mattia, Fabio Babiloni:
On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research. Comput. Intell. Neurosci. 2011: 643489:1-643489:12 (2011) - [c3]Wanzeng Kong, Xinwei Guo, Xinxin Zhao, Daming Wei, Sanqing Hu, Guojun Dai, Giovanni Vecchiato, Fabio Babiloni:
Spectral analysis of brain function network for the classification of motor imagery tasks. BMEI 2011: 850-853 - [c2]Giovanni Vecchiato, Fabio Babiloni, Laura Astolfi, Jlenia Toppi, Patrizia Cherubino, Jounging Dai, Wanzeng Kong, Daming Wei:
Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects. BMEI 2011: 1491-1494 - 2010
- [c1]Jianhai Zhang, Wanzeng Kong, Sanqing Hu:
Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model. IWACI 2010: 46-52
Coauthor Index
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