Yong Peng

部分代表性论文:

[29] Yong Peng, Mimi Jin, Yiyan Wang, Yuxin Chen, Feiwei Qin, Wanzeng Kong, Andrzej Cichocki. A Global-local Data Clustering Framework with Adaptive Feature and Sample Weighting and Balanced Constraint. IEEE Transactions on Emerging Topics in Computational Intelligence, accepted, 2026.
[28] Bing Yang, Xueqin Xiang, Yong Peng, Wanzeng Kong, Jianhai Zhang and Jinliang Yao. LAE-Net: Large Pretrained Models Assistant Text-Guided Image Editing Adversarial Network. IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2026.3678876, 2026.
[27] Honggang Liu, Han Yang, Dongjun Liu, Xuanyu Jin, Yong Peng, Wanzeng Kong. DRFNet: Enhancing Identity Discriminability and Feature Robustness for Cross-Session VEP-Based EEG Biometrics. IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2025.3604620, 2025.
[26] Yong Peng, Jiangchuan Liu, Honggang Liu, Natasha Padfield, Junhua Li, Wanzeng Kong, Bao-Liang Lu, and Andrzej Cichocki. Prediction Consistency and Confidence-based Proxy Domain Construction for Privacy-Preserving in Cross-subject EEG Classification. IEEE Journal of Biomedical and Health Informatics, DOI: 10.1109/JBHI.2025.3595826, 2025.
[25] Xiaoxiao Gong, Yuxin Chen, Pengfei Zhang, Yong Peng, Jinglong Fang, Andrzej Cichocki. CoAdapt: collaborative adaptation between latent EEG feature representation and annotation for emotion decoding. IEEE Transactions on Instrumentation and Measurement, DOI: 10.1109/TIM.2025.3590828, 2025.
[24] Hongang Liu, Han Yang, Dongjun Liu, Hangjie Yi, Bingfeng He, Yong Peng, Wanzeng Kong. Improving Cross-Session Performance of VEP-Based Biometrics with a Dual Attention Refinement Network. IEEE Transactions on Information Forensics and Security, DOI: 10.1109/TIFS.2025.3587181, 2025.
[23] Yuxin Chen, Yong Peng, Jiajia Tang, Tracey Camilleri, Kenneth Camilleri, Wanzeng Kong, Andrzej Cichocki. EEG-based affective brain-computer interfaces: recent progresses and future challenges. Journal of Neural Engineering, DOI: 10.1088/1741-2552/ade290, 2025.（邀请综述论文，入选ESI高被引论文）
[22] Jiajia Tang, Binbin Ni, Feiwei Zhou, Dongjun Liu, Yu Ding, Yong Peng, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong. Fine-grained semantic disentanglement network for multimodal sarcasm analysis. ACM Transactions on Multimedia Computing, Communications, and Applications, DOI: 10.1145/3722558, 2025.
[21] Xinhui Li, Ao Li, Wenyu Fu, Xun Song, Fan Li, Qiang Ma, Yong Peng, Zhao Lv. Temporal Relation Modeling and Multimodal Adversarial Alignment Network for Pilot Workload Evaluation. IEEE Journal of Translational Engineering in Health and Medicine, DOI: 10.1109/JTEHM.2025.3542408, 2025.
[20] Yinfeng Fang, Lingfeng Wu, Xixia Yu, Yong Peng, Yuxing Wang, Zhaojie Zhu. A hybrid sEMG-FMG fusion approach under muscle fatigue using cascade fuzzy forest. IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2024.3505260, 2024.
[19] Bowen Pang, Yong Peng, Jian Gao, Wanzeng Kong. Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition. Medical & Biological Engineering & Computing, vol. 62, 2805–2824, 2024. (编辑首选论文)
[18] Ting Wang, Jianpeng Tang, Xugang Xi, Yong Peng, Maofeng Wang, Lihua Li. Corticomuscular coupling analysis in stroke rehabilitation based on variational mode decomposition-transfer entropy. IEEE Transactions on Neural Systems and Rehabilitation Engineering, DOI: 10.1109/TNSRE.2024.3436077, 2024.
[17] Bing Yang, Xueqin Xiang, Wangzeng Kong, Jianhai Zhang, Yong Peng. DMF-GAN: Deep multimodal fusion generative adversarial networks for text-to-image synthesis. IEEE Transactions on Multimedia, 26: 6956-6967, 2024.
[16] Yifei Chen, Chenyan Zhang, Ben Chen, Yiyu Huang, Yifei Sun, Changmiao Wang, Feiwei Qin, Yong Peng, Yu Gao. Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases. Computers in Biology and Medicine, vol. 170, ID 107917, 2024.(曾入选ESI高被引论文，热点论文)
[15] Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki. Joint EEG feature transfer and semi-supervised cross-subject emotion recognition, IEEE Transactions on Industrial Informatics, 19(7): 8104-8115, 2023.
[14] Yong Peng, Wenna Huang, Wanzeng Kong, Feiping Nie, and Bao-Liang Lu. JGSED: an end-to-end spectral clustering model for joint graph Construction, spectral embedding and discretization. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(6): 1687-1701, 2023.
[13] Yong Peng, Honggang Liu, Junhua Li, Jun Huang, Bao-Liang Lu, and Wanzeng Kong. Cross-session emotion recognition by joint label-common and label-specific EEG features exploration. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 759-768, 2023.
[12] Yong Peng, Keding Chen, Feiping Nie, Bao-Liang Lu, Wanzeng Kong. Two-dimensional embedded fuzzy data clustering. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(4):1263-1275, 2023.
[11] Li Zhu, Youyang Liu, Riheng Liu, Yong Peng, Junhua Li, and Wanzeng Kong. Decoding multi-brain motor imagery from EEG using coupling feature extraction and few-shot learning. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pages 4683-4692, 2023.
[10] 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 Transactions on Circuits and Systems for Video Technology, 33(4): 1966-1978, 2023.
[9] 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 Transactions on Affective Computing, 13(4): 1941-1958, 2022.
[8] Yong Peng, Fengzhe Jin, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki. OGSSL: a semi-supervised classification model coupled with optimal graph learning for EEG emotion recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1288-1297, 2022.
[7] Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki. S3LRR: a unified model for joint discriminative subspace identification and semi-supervised EEG emotion recognition. IEEE Transactions on Instrumentation and Measurement, 71, Article ID 2507313, 2022.
[6] Yong Peng, Feiwei Qin, Wanzeng Kong, Feiping Nie, Yuan Ge, Andrzej Cichocki. GFIL: a unified framework for the analysis of features, frequency bands, channels in EEG-based emotion recognition. IEEE Transactions on Cognitive and Developmental Systems, 14(3): 935-947, 2022. (曾入选ESI高被引论文)
[5] Xing Li, Fangyao Shen, Yong Peng, Wanzeng Kong, Bao-Liang Lu. Efficient Sample and Feature Importance Mining in Semi-supervised EEG Emotion Recognition. IEEE Transactions on Circuits and Systems-II: Express Briefs, 69(7): 3349–3353, 2022.
[4] 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 Transactions on Instrumentation and Measurement, vol. 71, Article ID 4010014, 2022.
[3] 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 Transactions on Instrumentation and Measurement, 70, Article ID 2517111, 2021.
[2] Xuanyu Jin, Jiajia Tang, Xianghao Kong, Yong Peng, Jianting Cao, Qibin Zhao, Wanzeng Kong. CTNN: a convolutional tensor-train neural network for multi-task brainprint recognition. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 103-112, 2021.
[1] Yong Peng, Suhang Wang, Xianzhong Long, Bao-Liang Lu. Discriminative graph regularized extreme learning machine and its application to face recognition. Neurocomputing,149: 340–353, 2015.（曾入选ESI高被引论文）

中文权威/一级期刊论文列表：
[3] 李文政，王文娟，彭勇，孔万增。联合双映射域适应与图半监督标签估计的脑电情感识别方法。中国生物医学工程学报，42(5): 529-541, 2023.
[2] 秦飞巍，沈希乐，彭勇，邵艳利，袁文强，计忠平，白静。无人驾驶中的场景实时语义分割方法。计算机辅助设计与图形学学报，33 (7): 1026-1037, 2021.（曾入选中文高PCSI论文，高被引论文）
[1] 林浒，彭勇。面向多目标优化的适应度共享免疫克隆算法。控制理论与应用，28（2）：206-214， 2011.