| 2025 | CogSci | Dual-Branch EEG Decoding Method for Collaborative Multi-Brain Motor Imagery. | Jiaxuan Qin, Li Zhu, Jiangxu Wu, Jinda Liao, Wanzeng Kong |
| 2025 | CogSci | RPW-EEG: An Unified Framework for Robust and Practical Watermark of EEG. | Tianyang Qin, Hangjie Yi, Jingsheng Qian, Xuanyu Jin, Honggang Liu, Wanzeng Kong |
| 2025 | CVPR | Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation. | Weichen Dai, Hexing Wu, Xiaoyang Weng, Yuxin Zheng, Yuhang Ming, Wanzeng Kong |
| 2025 | ICANN | Brain Generative Replay for Continual Learning. | Jianguo Zhou, Dongjun Liu, Wanzeng Kong |
| 2025 | ICASSP | Deep Transfer Regression for EEG-based Driving Fatigue Detection. | Yikai Zhang, Yong Peng, Ziyue Yang, Feiwei Qin, Wanzeng Kong |
| 2025 | IJCNN | PBFE-DAN:Personal Biological Feature Enhanced Domain Adaptation Network for Cross-Session Brainprint Recognition. | Xinyu Yang, Xuanyu Jin, Wanzeng Kong |
| 2025 | IJCNN | MPFDAN: Multi-Perspective Feature Dynamic Adaptation Network for Domain Adaptive Object Detection. | Hang Yang, Ke Liu, Wenchao Weng, Weichen Dai, Andrzej Cichocki, Wanzeng Kong |
| 2024 | CogSci | An Automated Sleep Staging Method with EEG-based Sleep Structure Computation. | Ruixiang Liao, Li Zhu, Wanzeng Kong, Zhengyi Wang |
| 2024 | COLING | Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis. | Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Noriko Tomuro, Wanzeng Kong |
| 2024 | CW | An EEG-based Decoding Method for Motor Imagery Intentions in Mixed-Subject Settings with Adversarial Disentanglement. | Tianyi Zhao, Li Zhu, Lei Jin, Jiazheng Zhang, Chengrui Chen, Jianhai Zhang, Andrzej Cichocki, Jianghan Yan, Wanzeng Kong |
| 2024 | CW | Exploration of Common Cognitive Perception Biomarker for Human: An EEG Empirical Analysis Study. | Li Zhu, Lingmin Zhou, Haibin Xia, Jianghan Yan, Guifen Yang, Feng Gao, Wanzeng Kong |
| 2024 | ICASSP | AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition. | Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong |
| 2024 | ICASSP | Label Rectified and Graph Adaptive Semi-Supervised Regression for Electrode Shifted Gesture Recognition. | Chengxi Zhu, Yong Peng, Yinfeng Fang, Wanzeng Kong |
| 2024 | IJCNN | Fine-grained Dual-space Context Analysis Network for Multimodal Emotion Recognition. | Jinghao Li, Jiajia Tang, Wanzeng Kong, Yanyan Ying |
| 2024 | IJCNN | A Privacy-Preserving Brainprint Recognition System Based on Feature Homomorphic Encryption. | Yiming Zhang, Hangjie Yi, Wanzeng Kong |
| 2023 | EMNLP | Aspect-Category Enhanced Learning with a Neural Coherence Model for Implicit Sentiment Analysis. | Jin Cui, Fumiyo Fukumoto, Xinfeng Wang, Yoshimi Suzuki, Jiyi Li, Wanzeng Kong |
| 2022 | IJCAI | Multi-source Domain Adaptation Based on Data Selector with Soft Actor-Critic. | Qiquan Cui, Xuanyu Jin, Weichen Dai, Wanzeng Kong |
| 2022 | IJCAI | MMT: Multi-way Multi-modal Transformer for Multimodal Learning. | Jiajia Tang, Kang Li, Ming Hou, Xuanyu Jin, Wanzeng Kong, Yu Ding, Qibin Zhao |
| 2021 | ACL | CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. | Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong |
| 2020 | ICASSP | Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. | Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki |
| 2020 | ICONIP | A Factorized Extreme Learning Machine and Its Applications in EEG-Based Emotion Recognition. | Yong Peng, Rixin Tang, Wanzeng Kong, Feiping Nie |
| 2020 | IJCAI | A Review of Transfer Learning for EEG-Based Driving Fatigue Detection. | Jin Cui, Yong Peng, Kenji Ozawa, Wanzeng Kong |
| 2019 | CW | Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network. | Li Zhu, Chongwei Su, Gaochao Cui, Changle Zhou, Jianhai Zhang, Wanzeng Kong |
| 2019 | ICASSP | Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. | Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki |
| 2019 | ICASSP | Joint Structured Graph Learning and Clustering Based on Concept Factorization. | Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki |
| 2019 | ICASSP | Joint Structured Graph Learning and Unsupervised Feature Selection. | Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki |
| 2019 | IJCAI | Visualizing Emotional States: A Method Based on Human Brain Activity. | Yanfang Long, Wanzeng Kong, Xuanyu Jin, Jili Shang, Can Yang |
| 2018 | ICASSP | Parallel Vector Field Regularized Non-Negative Matrix Factorization for Image Representation. | Yong Peng, Rixin Tang, Wanzeng Kong, Feiwei Qin, Feiping Nie |
| 2017 | ICONIP | Task-Free Brainprint Recognition Based on Degree of Brain Networks. | Wanzeng Kong, Qiaonan Fan, Luyun Wang, Bei Jiang, Yong Peng, Yanbin Zhang |
| 2014 | IJCNN | Causality from Cz to C3/C4 or between C3 and C4 revealed by granger causality and new causality during motor imagery. | Sanqing Hu, Hui Wang, Jianhai Zhang, Wanzeng Kong, Yu Cao |