Wanzeng Kong

183 papers A* 4A 1B 8C 3Misc 8Journal 123Unranked 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
Brain-Eye Collaborative Camouflaged Target Detection.
Int. J. Hum. Comput. Interact.
Longjie Ma, Weichen Dai, Ziyue Yang, Chenyi Hong, Jianan Han, Jianting Cao, Wanzeng Kong
2026 J jnl
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition.
IEEE Trans. Affect. Comput.
Dongjun Liu, Weichen Dai, Hangjie Yi, Honggang Liu, Jianting Cao, Qibin Zhao, Fabio Babiloni, Wanzeng Kong
2026 J jnl
DC-VLAQ: Query-Residual Aggregation for Robust Visual Place Recognition.
CoRR
Hanyu Zhu, Zhihao Zhan, Yuhang Ming, Liang Li, Dibo Hou, Javier Civera, Wanzeng Kong
2026 J jnl
DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics.
IEEE J. Biomed. Health Informatics
Honggang Liu, Han Yang, Dongjun Liu, Xuanyu Jin, Yong Peng, Wanzeng Kong
2026 J jnl
GaborNet: attention based Gabor convolutional networks for contactless palmprint recognition.
Multim. Tools Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jianhai Zhang
2026 J jnl
High-Fidelity Sonar Waveform Synthesis With Multi-Band Adversarial Networks.
IEEE Signal Process. Lett.
Han Yang, Zhe Chen, Yiwen Shen, Honggang Liu, Wanzeng Kong
2026 J jnl
Keyframe-Based Feed-Forward Visual Odometry.
CoRR
Weichen Dai, Wenhan Su, Da Kong, Yuhang Ming, Wanzeng Kong
2026 J jnl
Multi-View Manifold-Adaptive Kernel Regression for Speech Classification From EEG Signals.
IEEE Signal Process. Lett.
Xie He, Qi Cui, Chang Wu, Yong Peng, Wanzeng Kong
2026 J jnl
Prediction Consistency and Confidence-Based Proxy Domain Construction for Privacy-Preserving in Cross-Subject EEG Classification.
IEEE J. Biomed. Health Informatics
Yong Peng, Jiangchuan Liu, Honggang Liu, Natasha M. J. Padfield, Junhua Li, Wanzeng Kong, Bao-Liang Lu, Andrzej Cichocki
2026 J jnl
Step-Wise Prompting Meets Uncertainty-Aware Dynamic Fusion for Robust EEG-Visual Emotion Recognition.
IEEE Trans. Affect. Comput.
Danyang Hao, Ming Meng, Yunyuan Gao, Xiaohui Lou, Wanzeng Kong
2026 J jnl
VFM-Recon: Unlocking Cross-Domain Scene-Level Neural Reconstruction with Scale-Aligned Foundation Priors.
CoRR
Yuhang Ming, Tingkang Xi, Xingrui Yang, Lixin Yang, Yong Peng, Cewu Lu, Wanzeng Kong
2025 J jnl
3D Scene-Camera Representation with Joint Camera Photometric Optimization.
CoRR
Weichen Dai, Kangcheng Ma, Jiaxin Wang, Kecen Pan, Yuhang Ming, Hua Zhang, Wanzeng Kong
2025 J jnl
A multi-layer EEG fusion decoding method with channel selection for multi-brain motor imagery.
Comput. Methods Programs Biomed.
Li Zhu, Yankai Xin, Yu Yang, Wanzeng Kong
2025 J jnl
Adaptive multi-branch CNN of integrating manual features and functional network for driver fatigue detection.
Biomed. Signal Process. Control.
Kun Yang, Keze Zhang, Yubin Hu, Jing Xu, Bing Yang, Wanzeng Kong, Jianhai Zhang
2025 J jnl
Bidirectional joint estimation of optical flow and scene flow with Gaussian-guided attention.
Signal Image Video Process.
Weichen Dai, Xiaoyang Weng, Donglei Sun, Yuhang Ming, Wanzeng Kong
2025 — book
Brain Fingerprint Identification
Wanzeng Kong, Xuanyu Jin
2025 — conf
Brain Generative Replay for Continual Learning.
ICANN (1)
Jianguo Zhou, Dongjun Liu, Wanzeng Kong
2025 J jnl
Brain-Eye Collaboration Target Detection and Localization in Remote Sensing Image.
IEEE Trans. Cogn. Dev. Syst.
Jianan Han, Longjie Ma, Li Zhu, Jiajia Tang, Wanzeng Kong
2025 J jnl
Brain-Machine Cross-Modal Alignment via Sample Relational Learning for Visual Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Dongjun Liu, Weichen Dai, Honggang Liu, Hangjie Yi, Wanzeng Kong
2025 J jnl
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP Tasks.
CoRR
Ziyue Yang, Chengrui Chen, Yong Peng, Qiong Chen, Wanzeng Kong
2025 J jnl
CUS-GS: A Compact Unified Structured Gaussian Splatting Framework for Multimodal Scene Representation.
CoRR
Yuhang Ming, Chenxin Fang, Xingyuan Yu, Fan Zhang, Weichen Dai, Wanzeng Kong, Guofeng Zhang
2025 J jnl
DARN: A Dual Attention Refinement Network for Enhancing Feature Robustness in VEP-Based EEG Biometrics.
IEEE Trans. Inf. Forensics Secur.
Honggang Liu, Han Yang, Dongjun Liu, Hangjie Yi, Bingfeng He, Yong Peng, Wanzeng Kong
2025 Misc conf
Deep Transfer Regression for EEG-based Driving Fatigue Detection.
ICASSP
Yikai Zhang, Yong Peng, Ziyue Yang, Feiwei Qin, Wanzeng Kong
2025 J jnl
Dual-Brain EEG Decoding for Target Detection via Joint Learning in Shared and Private Spaces.
IEEE Signal Process. Lett.
Bingfeng He, Li Zhu, Junhua Li, Andrzej Cichocki, Wanzeng Kong
2025 B conf
Dual-Branch EEG Decoding Method for Collaborative Multi-Brain Motor Imagery.
CogSci
Jiaxuan Qin, Li Zhu, Jiangxu Wu, Jinda Liao, Wanzeng Kong
2025 J jnl
EEG signal biometric extraction to predict stroke severity.
Biomed. Signal Process. Control.
Jinxiao Dai, Xugang Xi, Ting Wang, Hangcheng Li, Wanzeng Kong, Zhong Lü
2025 J jnl
Effective feature-sample co-clustering by adaptive feature-sample co-weighting.
Inf. Sci.
Yiyan Wang, Mimi Jin, Yuxin Chen, Yong Peng, Ziyue Yang, Feiping Nie, Andrzej Cichocki, Wanzeng Kong
2025 J jnl
Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis.
ACM Trans. Multim. Comput. Commun. Appl.
Jiajia Tang, Binbin Ni, Feiwei Zhou, Dongjun Liu, Yu Ding, Yong Peng, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
2025 J jnl
Hybrid Feature Integrated Transformer for 3D Hand Reconstruction from a Single RGB Image.
ACM Trans. Multim. Comput. Commun. Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Jinliang Yao
2025 J jnl
ID-ProtoFormer: A Dynamic Identity Prototype-Infused Transformer for SSVEP-Based Biometric Recognition.
IEEE Signal Process. Lett.
Jiabin Zhu, Xuanyu Jin, Wanzeng Kong
2025 J jnl
Imagined Speech Decoding by Learning Consensus Graph From RKHS-Based Multi-View EEG Features.
IEEE Signal Process. Lett.
Zhenye Zhao, Yong Peng, Kenneth P. Camilleri, Wanzeng Kong, Andrzej Cichocki
2025 J jnl
Implicit guidance for enhancing low-light optical flow estimation via channel attention networks.
Vis. Comput.
Weichen Dai, Hexing Wu, Xiaoyang Weng, Wanzeng Kong
2025 J jnl
Independent Components Time-Frequency Purification With Channel Consensus Against Adversarial Attack in SSVEP-Based BCIs.
IEEE Signal Process. Lett.
Hangjie Yi, Jingsheng Qian, Yuhang Ming, Wanzeng Kong
2025 J jnl
MECG: modality-enhanced convolutional graph for unbalanced multimodal representations.
J. Supercomput.
Jiajia Tang, Binbin Ni, Yutao Yang, Yu Ding, Wanzeng Kong
2025 B conf
MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection.
IJCNN
Hang Yang, Ke Liu, Wenchao Weng, Weichen Dai, Andrzej Cichocki, Wanzeng Kong
2025 A* conf
Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation.
CVPR
Weichen Dai, Hexing Wu, Xiaoyang Weng, Yuxin Zheng, Yuhang Ming, Wanzeng Kong
2025 B conf
PBFE-DAN:Personal Biological Feature Enhanced Domain Adaptation Network for Cross-Session Brainprint Recognition.
IJCNN
Xinyu Yang, Xuanyu Jin, Wanzeng Kong
2025 J jnl
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction.
IEEE Trans. Intell. Transp. Syst.
Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, Feng Xia
2025 J jnl
QELDBA: Query-Efficient and Low Distortion Black-Box Attack for Brainprint Recognition.
IEEE Signal Process. Lett.
Jingsheng Qian, Hangjie Yi, Honggang Liu, Xuanyu Jin, Wanzeng Kong
2025 B conf
RPW-EEG: An Unified Framework for Robust and Practical Watermark of EEG.
CogSci
Tianyang Qin, Hangjie Yi, Jingsheng Qian, Xuanyu Jin, Honggang Liu, Wanzeng Kong
2025 J jnl
Reinforcement Learning Decoding Method of Multi-User EEG Shared Information Based on Mutual Information Mechanism.
IEEE J. Biomed. Health Informatics
Jinhao Zhang, Li Zhu, Wanzeng Kong, Jianhai Zhang, Jianting Cao, Andrzej Cichocki
2025 J jnl
SF-GAN: Semantic fusion generative adversarial networks for text-to-image synthesis.
Expert Syst. Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Jinliang Yao
2025 J jnl
SLC
CoRR
Yuhang Ming, Di Ma, Weichen Dai, Han Yang, Rui Fan, Guofeng Zhang, Wanzeng Kong
2025 J jnl
SLC$^{2}$-SLAM: Semantic-Guided Loop Closure Using Shared Latent Code for NeRF SLAM.
IEEE Robotics Autom. Lett.
Yuhang Ming, Di Ma, Weichen Dai, Han Yang, Rui Fan, Guofeng Zhang, Wanzeng Kong
2025 J jnl
Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI.
CoRR
Weichen Dai, Yuxuan Huang, Li Zhu, Dongjun Liu, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Fabio Babiloni, Ke Li, Jianyu Qiu, Gangyong Jia, Wanzeng Kong, Qing Wu
2025 J jnl
Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection.
CoRR
Ziyue Yang, Kehan Wang, Yuhang Ming, Yong Peng, Han Yang, Qiong Chen, Wanzeng Kong
2025 J jnl
VIPeR: Visual Incremental Place Recognition With Adaptive Mining and Continual Learning.
IEEE Robotics Autom. Lett.
Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong
2024 J jnl
A General DNA-Like Hybrid Symbiosis Framework: An EEG Cognitive Recognition Method.
IEEE J. Biomed. Health Informatics
Hong Zeng, Yue Zhao, Fabio Babiloni, Ming Tao, Wanzeng Kong, Guojun Dai
2024 B conf
A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption.
IJCNN
Yiming Zhang, Hangjie Yi, Wanzeng Kong
2024 Misc conf
AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition.
ICASSP
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
2024 B conf
An Automated Sleep Staging Method with EEG-based Sleep Structure Computation.
CogSci
Ruixiang Liao, Li Zhu, Wanzeng Kong, Zhengyi Wang
2024 C conf
An EEG-based Decoding Method for Motor Imagery Intentions in Mixed-Subject Settings with Adversarial Disentanglement.
CW
Tianyi Zhao, Li Zhu, Lei Jin, Jiazheng Zhang, Chengrui Chen, Jianhai Zhang, Andrzej Cichocki, Jianghan Yan, Wanzeng Kong
2024 — conf
Comparisons on Perception Mechanism of Mental Rotation Between Health and Stroke Groups with EEG Indicators.
BIBM
Lingmin Zhou, Li Zhu, Haibin Xia, Guifen Yang, Jiao Xu, Xuanyu Jin, Wanzeng Kong
2024 J jnl
DMF-GAN: Deep Multimodal Fusion Generative Adversarial Networks for Text-to-Image Synthesis.
IEEE Trans. Multim.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Jianhai Zhang, Yong Peng
2024 J jnl
DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning.
IEEE J. Biomed. Health Informatics
Kun Yang, Ruochen Li, Jing Xu, Li Zhu, Wanzeng Kong, Jianhai Zhang
2024 J jnl
Disentangled Adversarial Generalization Network for Cross-Session Task-Independent Brainprint Recognition.
IEEE Trans. Cogn. Dev. Syst.
Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu, Jianting Cao
2024 — conf
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis.
LREC/COLING
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong
2024 J jnl
Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis.
CoRR
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong
2024 J jnl
Enhanced performance of EEG-based brain-computer interfaces by joint sample and feature importance assessment.
Health Inf. Sci. Syst.
Xing Li, Yikai Zhang, Yong Peng, Wanzeng Kong
2024 C conf
Exploration of Common Cognitive Perception Biomarker for Human: An EEG Empirical Analysis Study.
CW
Li Zhu, Lingmin Zhou, Haibin Xia, Jianghan Yan, Guifen Yang, Feng Gao, Wanzeng Kong
2024 B conf
Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition.
IJCNN
Jinghao Li, Jiajia Tang, Wanzeng Kong, Yanyan Ying
2024 Misc conf
Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition.
ICASSP
Chengxi Zhu, Yong Peng, Yinfeng Fang, Wanzeng Kong
2024 J jnl
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction.
CoRR
Wenchao Weng, Mei Wu, Hanyu Jiang, Wanzeng Kong, Xiangjie Kong, Feng Xia
2024 J jnl
Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition.
Medical Biol. Eng. Comput.
Bowen Pang, Yong Peng, Jian Gao, Wanzeng Kong
2024 J jnl
Soft Label Guided Unsupervised Discriminative Sparse Subspace Feature Selection.
J. Classif.
Keding Chen, Yong Peng, Feiping Nie, Wanzeng Kong
2024 J jnl
Temporal-channel cascaded transformer for imagined handwriting character recognition.
Neurocomputing
Wenhui Zhou, Yuhan Wang, Liangyan Mo, Changsheng Li, Mingyue Xu, Wanzeng Kong, Guojun Dai
2024 — conf
The Impact of Dynamic Icons on Mobile APP Interfaces: Evidence from EEG and Eye-tracking Signals.
BIBM
Ruizhe Yang, Jiaxuan Qin, Wenjie Hu, Letao Fang, Haojie Tao, Li Zhu, Xuanyu Jin, Wanzeng Kong, Yan Li
2024 A conf
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models.
ICME
Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong
2024 J jnl
Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models.
CoRR
Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong
2024 J jnl
Unbiased Semantic Representation Learning Based on Causal Disentanglement for Domain Generalization.
ACM Trans. Multim. Comput. Commun. Appl.
Xuanyu Jin, Ni Li, Wanzeng Kong, Jiajia Tang, Bing Yang
2024 J jnl
VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Lifelong Learning.
CoRR
Yuhang Ming, Minyang Xu, Xingrui Yang, Weicai Ye, Weihan Wang, Yong Peng, Weichen Dai, Wanzeng Kong
2024 J jnl
Visual-Guided Dual-Spatial Interaction Network for Fine-Grained Brain Semantic Decoding.
IEEE Trans. Instrum. Meas.
Jiajia Tang, Yutao Yang, Qibin Zhao, Yu Ding, Jianhai Zhang, Yang Song, Wanzeng Kong
2023 J jnl
A bidirectional interaction-based hybrid network architecture for EEG cognitive recognition.
Comput. Methods Programs Biomed.
Yue Zhao, Hong Zeng, Haohao Zheng, Jing Wu, Wanzeng Kong, Guojun Dai
2023 J jnl
AEGIS-Net: Attention-guided Multi-Level Feature Aggregation for Indoor Place Recognition.
CoRR
Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
2023 — conf
Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis.
EMNLP (Findings)
Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong
2023 J jnl
BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong
2023 J jnl
Brain-Machine Coupled Learning Method for Facial Emotion Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao, Wanzeng Kong
2023 J jnl
Causal Graph Convolutional Neural Network for Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Wanzeng Kong, Min Qiu, Menghang Li, Xuanyu Jin, Li Zhu
2023 J jnl
DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image.
Biomed. Signal Process. Control.
Hong Zeng, Nianzhang Xia, Dongguan Qian, Motonobu Hattori, Chu Wang, Wanzeng Kong
2023 J jnl
EEG-based emotion recognition with cascaded convolutional recurrent neural networks.
Pattern Anal. Appl.
Ming Meng, Yu Zhang, Yuliang Ma, Yunyuan Gao, Wanzeng Kong
2023 J jnl
Effect of music stimuli on corticomuscular coupling and the brain functional connectivity network.
Biomed. Signal Process. Control.
Ting Wang, Jianpeng Tang, Chenghao Wang, Donghui Yang, Jingqi Li, Wanzeng Kong, Xugang Xi
2023 J jnl
Fusion Graph Representation of EEG for Emotion Recognition.
Sensors
Menghang Li, Min Qiu, Wanzeng Kong, Li Zhu, Yu Ding
2023 J jnl
Graph adaptive semi-supervised discriminative subspace learning for EEG emotion recognition.
J. King Saud Univ. Comput. Inf. Sci.
Fengzhe Jin, Yong Peng, Feiwei Qin, Junhua Li, Wanzeng Kong
2023 J jnl
JGSED: An End-to-End Spectral Clustering Model for Joint Graph Construction, Spectral Embedding and Discretization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2023 J jnl
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition.
IEEE Trans. Ind. Informatics
Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2023 J jnl
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.
Jing Li, Junhong Wang, Ting Wang, Wanzeng Kong, Xugang Xi
2023 J jnl
Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis.
Syst.
Jiajia Tang, Ming Hou, Xuanyu Jin, Jianhai Zhang, Qibin Zhao, Wanzeng Kong
2023 J jnl
Two-Dimensional Embedded Fuzzy Data Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong
2023 J jnl
Weighted extreme learning machine for P300 detection with application to brain computer interface.
J. Ambient Intell. Humaniz. Comput.
Wanzeng Kong, Shijie Guo, Yanfang Long, Yong Peng, Hong Zeng, Xinyu Zhang, Jianhai Zhang
2022 J jnl
A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition.
Biomed. Signal Process. Control.
Ming Meng, Jiahao Hu, Yunyuan Gao, Wanzeng Kong, Zhizeng Luo
2022 J jnl
A new patterns of self-organization activity of brain: Neural energy coding.
Inf. Sci.
Jinchao Zheng, Rubin Wang, Wanzeng Kong, Jianhai Zhang
2022 J jnl
A semi-supervised label distribution learning model with label correlations and data manifold exploration.
J. King Saud Univ. Comput. Inf. Sci.
Ruiqi Guo, Yong Peng, Wanzeng Kong, Fan Li
2022 J jnl
Adaptive multi-task learning using lagrange multiplier for automatic art analysis.
Multim. Tools Appl.
Bing Yang, Xueqin Xiang, Wanzeng Kong, Yong Peng, Jinliang Yao
2022 J jnl
An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.
IEEE Trans. Instrum. Meas.
Yikai Zhang, Ruiqi Guo, Yong Peng, Wanzeng Kong, Feiping Nie, Bao-Liang Lu
2022 J jnl
Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy.
IEEE J. Biomed. Health Informatics
Xugang Xi, Jinsuo Ding, Junhong Wang, Yun-Bo Zhao, Ting Wang, Wanzeng Kong, Jingqi Li
2022 J jnl
Coupled Projection Transfer Metric Learning for Cross-Session Emotion Recognition from EEG.
Syst.
Fangyao Shen, Yong Peng, Guojun Dai, Bao-Liang Lu, Wanzeng Kong
2022 J jnl
Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection.
IEEE Trans. Cogn. Dev. Syst.
Jin Cui, Xuanyu Jin, Hua Hu, Li Zhu, Kenji Ozawa, Gang Pan, Wanzeng Kong
2022 A* conf
Dynamically Adjust Word Representations Using Unaligned Multimodal Information.
ACM Multimedia
Jiwei Guo, Jiajia Tang, Weichen Dai, Yu Ding, Wanzeng Kong
2022 J jnl
EffMulti: Efficiently Modeling Complex Multimodal Interactions for Emotion Analysis.
CoRR
Feng Qiu, Chengyang Xie, Yu Ding, Wanzeng Kong
2022 J jnl
Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition.
IEEE Trans. Circuits Syst. II Express Briefs
Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu
2022 J jnl
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst.
Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki
2022 J jnl
InterMulti: Multi-view Multimodal Interactions with Text-dominated Hierarchical High-order Fusion for Emotion Analysis.
CoRR
Feng Qiu, Wanzeng Kong, Yu Ding
2022 J jnl
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals.
IEEE Trans. Affect. Comput.
Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 A* conf
MMT: Multi-way Multi-modal Transformer for Multimodal Learning.
IJCAI
Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao
2022 J jnl
Multi-Granularity Analysis of Brain Networks Assembled With Intra-Frequency and Cross-Frequency Phase Coupling for Human EEG After Stroke.
Frontiers Comput. Neurosci.
Bin Ren, Kun Yang, Li Zhu, Lang Hu, Tao Qiu, Wanzeng Kong, Jianhai Zhang
2022 — conf
Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic.
HBAI@IJCAI
Qiquan Cui, Xuanyu Jin, Weichen Dai, Wanzeng Kong
2022 J jnl
Odor pattern recognition of a novel bio-inspired olfactory neural network based on kernel clustering.
Commun. Nonlinear Sci. Numer. Simul.
Xuying Xu, Zhenyu Zhu, Yihong Wang, Rubin Wang, Wanzeng Kong, Jianhai Zhang
2022 J jnl
S
IEEE Trans. Instrum. Meas.
Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki
2022 J jnl
Siam-GCAN: A Siamese Graph Convolutional Attention Network for EEG Emotion Recognition.
IEEE Trans. Instrum. Meas.
Hong Zeng, Qi Wu, Yanping Jin, Haohao Zheng, Mingming Li, Yue Zhao, Hua Hu, Wanzeng Kong
2021 J jnl
A new Kmeans clustering model and its generalization achieved by joint spectral embedding and rotation.
PeerJ Comput. Sci.
Wenna Huang, Yong Peng, Yuan Ge, Wanzeng Kong
2021 J jnl
An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction.
Sensors
Hong Zeng, Xiufeng Li, Gianluca Borghini, Yue Zhao, Pietro Aricò, Gianluca Di Flumeri, Nicolina Sciaraffa, Wael Zakaria, Wanzeng Kong, Fabio Babiloni
2021 J jnl
Auto-weighted concept factorization for joint feature map and data representation learning.
J. Intell. Fuzzy Syst.
Yikai Zhang, Yong Peng, Hongyu Bian, Yuan Ge, Feiwei Qin, Wanzeng Kong
2021 — conf
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network.
ACL/IJCNLP (1)
Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong
2021 J jnl
EEG-Based Sleep Staging Analysis with Functional Connectivity.
Sensors
Hui Huang, Jianhai Zhang, Li Zhu, Jiajia Tang, Guang Lin, Wanzeng Kong, Xu Lei, Lei Zhu
2021 — conf
EEGNetT: EEG-based neural network for emotion recognition in real-world applications.
LifeTech
Yuxuan Zhu, Kenji Ozawa, Wanzeng Kong
2021 J jnl
Emotion recognition based on sparse representation of phase synchronization features.
Multim. Tools Appl.
Wanzeng Kong, Xulin Song, Junfeng Sun
2021 J jnl
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM.
Biomed. Signal Process. Control.
Qizhong Zhang, Ji Ding, Wanzeng Kong, Yang Liu, Qian Wang, Tiejia Jiang
2021 J jnl
Fuzzy graph clustering.
Inf. Sci.
Yong Peng, Xin Zhu, Feiping Nie, Wanzeng Kong, Yuan Ge
2021 J jnl
Multi-Scale Frequency Bands Ensemble Learning for EEG-Based Emotion Recognition.
Sensors
Fangyao Shen, Yong Peng, Wanzeng Kong, Guojun Dai
2021 J jnl
RAMST-CNN: A Residual and Multiscale Spatio-Temporal Convolution Neural Network for Personal Identification with EEG.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Yuxuan Zhu, Yong Peng, Yang Song, Kenji Ozawa, Wanzeng Kong
2021 J jnl
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.
IEEE Trans. Instrum. Meas.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki
2021 J jnl
Sub-band target alignment common spatial pattern in brain-computer interface.
Comput. Methods Programs Biomed.
Xianxiong Zhang, Qingshan She, Yun Chen, Wanzeng Kong, Congli Mei
2021 J jnl
Tensor-based dynamic brain functional network for motor imagery classification.
Biomed. Signal Process. Control.
Qizhong Zhang, Bin Guo, Wanzeng Kong, Xugang Xi, Yizhi Zhou, Farong Gao
2021 J jnl
Transfer of semi-supervised broad learning system in electroencephalography signal classification.
Neural Comput. Appl.
Yukai Zhou, Qingshan She, Yuliang Ma, Wanzeng Kong, Yingchun Zhang
2020 — conf
A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition.
ICONIP (5)
Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie
2020 — conf
A Review of Transfer Learning for EEG-Based Driving Fatigue Detection.
HBAI@IJCAI
Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong
2020 J jnl
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification.
Appl. Soft Comput.
Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki
2020 — conf
Ballistocardiogram Artifact Removal for Concurrent EEG-fMRI Recordings Using Blind Source Separation Based on Dictionary Learning.
IIP
Yuxi Liu, Jianhai Zhang, Bohui Zhang, Wanzeng Kong
2020 — conf
Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-Based BCI.
IIP
Wenfen Ling, Feipeng Xu, Qiaonan Fan, Yong Peng, Wanzeng Kong
2020 J jnl
InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection.
Sensors
Hong Zeng, Jia-Ming Zhang, Wael Zakaria, Fabio Babiloni, Gianluca Borghini, Xiufeng Li, Wanzeng Kong
2020 Misc conf
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation.
ICASSP
Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki
2020 J jnl
Joint low-rank representation and spectral regression for robust subspace learning.
Knowl. Based Syst.
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
2020 J jnl
Low rank spectral regression via matrix factorization for efficient subspace learning.
J. Intell. Fuzzy Syst.
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiwei Qin, Jianhai Zhang
2020 J jnl
Robust Distributed Stabilization of Heterogeneous Agents Over Cooperation-Competition Networks.
IEEE Trans. Circuits Syst. II Express Briefs
Hong-xiang Hu, Qian Zhou, Guanghui Wen, Wenwu Yu, Wanzeng Kong
2019 — conf
A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.
BIBM
Jianhai Zhang, Chongwei Su, Dariusz Zapala, Li Zhu, Gaochao Cui, Wanzeng Kong
2019 J jnl
A LightGBM-Based EEG Analysis Method for Driver Mental States Classification.
Comput. Intell. Neurosci.
Hong Zeng, Chen Yang, Hua Zhang, Zhenhua Wu, Jiaming Zhang, Guojun Dai, Fabio Babiloni, Wanzeng Kong
2019 A* conf
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling.
NeurIPS
Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao
2019 J jnl
EEG Fingerprints: Phase Synchronization of EEG Signals as Biomarker for Subject Identification.
IEEE Access
Wanzeng Kong, Luyun Wang, Sijia Xu, Fabio Babiloni, Hang Chen
2019 — conf
Facial Emotion Recognition Based on Brain and Machine Collaborative Intelligence.
CIVEMSA
Wenfen Ling, Wanzeng Kong, Yanfang Long, Can Yang, Xuanyu Jin
2019 Misc conf
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization.
ICASSP
Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2019 — conf
Gender recognition in emotion perception using EEG features.
BIBM
Jianhai Zhang, Hongyan Xu, Li Zhu, Wanzeng Kong, Zheng Ma
2019 C conf
Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network.
CW
Li Zhu, Chongwei Su, Gaochao Cui, Changle Zhou, Jianhai Zhang, Wanzeng Kong
2019 Misc conf
Joint Structured Graph Learning and Clustering Based on Concept Factorization.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki
2019 Misc conf
Joint Structured Graph Learning and Unsupervised Feature Selection.
ICASSP
Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki
2019 J jnl
Large-scale trip planning for bike-sharing systems.
Pervasive Mob. Comput.
Zhi Li, Jianhui Zhang, Jiayu Gan, Pengqian Lu, Zhigang Gao, Wanzeng Kong
2019 J jnl
Task-free brainprint recognition based on low-rank and sparse decomposition model.
Int. J. Data Min. Bioinform.
Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
2019 — conf
Visualizing Emotional States: A Method Based on Human Brain Activity.
HBAI@IJCAI
Yanfang Long, Wanzeng Kong, Xuanyu Jin, Jili Shang, Can Yang
2018 — conf
A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG.
BIBM
Jianhai Zhang, Jianting Cao, Na Zhang, Wanzeng Kong, Jiajia Tang, Yong Peng
2018 — conf
Comparison of Facial Emotion Recognition Based on Image Visual Features and EEG Features.
ICCSIP (2)
Yanfang Long, Wanzeng Kong, Wenfen Ling, Can Yang, Jieyong Zhu
2018 J jnl
Corrigendum to "Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification".
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 — conf
Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network.
DSP
Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano, Noboru Yoshida
2018 — conf
Emotional-state brain network analysis revealed by minimum spanning tree using EEG signals.
BIBM
Jianhai Zhang, Shaokai Zhao, Guodong Yang, Jiajia Tang, Tao Zhang, Yong Peng, Wanzeng Kong
2018 — conf
Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning.
APSIPA
Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano, Noboru Yoshida
2018 J jnl
Manifold Adaptive Kernelized Low-Rank Representation for Semisupervised Image Classification.
Complex.
Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 Misc conf
Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation.
ICASSP
Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie
2018 J jnl
Personal Identification Based on Brain Networks of EEG Signals.
Int. J. Appl. Math. Comput. Sci.
Wanzeng Kong, Bei Jiang, Qiaonan Fan, Li Zhu, Xuehui Wei
2018 — conf
Task-Independent EEG Identification via Low-Rank Matrix Decomposition.
BIBM
Xianghao Kong, Wanzeng Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki
2018 J jnl
The Dynamic EEG Microstates in Mental Rotation.
Sensors
Wanzeng Kong, Luyun Wang, Jianhai Zhang, Qibin Zhao, Junfeng Sun
2018 — conf
Unsupervised Extreme Learning Machine via Structured Graph Construction for Data Clustering.
ISCID (2)
Leijie Zhang, Xin Zhu, Yong Peng, Wanzeng Kong
2017 J jnl
Assessment of driving fatigue based on intra/inter-region phase synchronization.
Neurocomputing
Wanzeng Kong, Zhanpeng Zhou, Bei Jiang, Fabio Babiloni, Gianluca Borghini
2017 J jnl
Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging.
J. Sensors
Wanzeng Kong, Jinshuai Yu, Ying Cheng, Weihua Cong, Huanhuan Xue
2017 — conf
Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification.
NER
Xuefeng Lei, Luyun Wang, Wanzeng Kong, Yong Peng, Sanqing Hu, Hong Zeng, Guojun Dai, Ruoyu Jin, Junfeng Sun, Shanbao Tong
2017 J jnl
Orthogonal extreme learning machine for image classification.
Neurocomputing
Yong Peng, Wanzeng Kong, Bing Yang
2017 — conf
Task-Free Brainprint Recognition Based on Degree of Brain Networks.
ICONIP (2)
Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang
2016 — conf
A New EEG Signal Processing Method Based on Low-Rank and Sparse Decomposition.
ICCSIP
Wanzeng Kong, Yan Liu, Bei Jiang, Guojun Dai, Lin Xu
2016 J jnl
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery.
IEEE Trans. Neural Networks Learn. Syst.
Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao, Robert Kozma
2016 J jnl
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality.
IEEE Trans. Neural Networks Learn. Syst.
Sanqing Hu, Xinxin Jia, Jianhai Zhang, Wanzeng Kong, Yu Cao
2015 J jnl
A System of Driving Fatigue Detection Based on Machine Vision and Its Application on Smart Device.
J. Sensors
Wanzeng Kong, Lingxiao Zhou, Yizhi Wang, Jianhai Zhang, JianHui Liu, Shenyong Gao
2015 — conf
Blockwise Granger causality and blockwise new causality.
ICACI
Xinxin Jia, Sanqing Hu, Jianhai Zhang, Wanzeng Kong
2015 J jnl
Investigating Driver Fatigue
Sensors
Wanzeng Kong, Weicheng Lin, Fabio Babiloni, Sanqing Hu, Gianluca Borghini
2015 — conf
On the Use of Cognitive Neurometric Indexes in Aeronautic and Air Traffic Management Environments.
Symbiotic
Gianluca Di Flumeri, Gianluca Borghini, Pietro Aricò, Alfredo Colosimo, Simone Pozzi, Stefano Bonelli, Alessia Golfetti, Wanzeng Kong, Fabio Babiloni
2014 — conf
An electroencephalographic Peak Density Function to detect memorization during the observation of TV commercials.
EMBC
Giovanni Vecchiato, Gianluca Di Flumeri, Anton Giulio Maglione, Patrizia Cherubino, Wanzeng Kong, Arianna Trettel, Fabio Babiloni
2014 B conf
Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery.
IJCNN
Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao
2014 — conf
Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices.
EMBC
Anton Giulio Maglione, Gianluca Borghini, Pietro Aricò, F. Borgia, Ilenia Graziani, Alfredo Colosimo, Wanzeng Kong, Giovanni Vecchiato, Fabio Babiloni
2013 J jnl
Automatic and Direct Identification of Blink Components from Scalp EEG.
Sensors
Wanzeng Kong, Zhanpeng Zhou, Sanqing Hu, Jianhai Zhang, Fabio Babiloni, Guojun Dai
2013 J jnl
Motor imagery classification based on joint regression model and spectral power.
Neural Comput. Appl.
Sanqing Hu, Qiangqiang Tian, Yu Cao, Jianhai Zhang, Wanzeng Kong
2013 J jnl
Robust and smart spectral clustering from normalized cut.
Neural Comput. Appl.
Wanzeng Kong, Sanqing Hu, Jianhai Zhang, Guojun Dai
2012 — conf
A Comparative Study of Two Reference Estimation Methods in EEG Recording.
BICS
Sanqing Hu, Yu Cao, Shihui Chen, Jianhai Zhang, Wanzeng Kong, Kun Yang, Xun Li, Yanbin Zhang
2012 — conf
Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices.
EMBC
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
2011 — conf
Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects.
BMEI
Giovanni Vecchiato, Fabio Babiloni, Laura Astolfi, Jlenia Toppi, Patrizia Cherubino, Jounging Dai, Wanzeng Kong, Daming Wei
2011 J jnl
On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research.
Comput. Intell. Neurosci.
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
2011 — conf
Spectral analysis of brain function network for the classification of motor imagery tasks.
BMEI
Wanzeng Kong, Xinwei Guo, Xinxin Zhao, Daming Wei, Sanqing Hu, Guojun Dai, Giovanni Vecchiato, Fabio Babiloni
2010 — conf
Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model.
IWACI
Jianhai Zhang, Wanzeng Kong, Sanqing Hu