[1] Dan Li, Haibao Wang, Shihui Ying, Multiview Representation Learning with One-to-Many Dynamic Relationships. IEEE Transactions on Neural Networks and Learning Systems, 2024 [2] Dan Li, Haibao Wang, Yufeng Wang, Shengpei Wang, Instance-wise multi-view representation learning. Information Fusion, 2023 [3] Dan Li, Changed Du, Haibao Wang, Qiongyi Zhou, Huiguang He, Deep Modality Assistance Co-training Network for Semi-Supervised Multi-Label Semantic Decoding. IEEE Transactions on Multimedia, 2021 [4] Dan Li, Changde Du, Shengpei Wang, Haibao Wang, Huiguang He, Multi-subject Data Augmentation for Target Subject Semantic Decoding with Deep Multi-view Adversarial Learning. Information Sciences, 2020 [5] Dan Li, Changde Du, Huiguang He, Semi-supervised Cross-modal Image Generation with Generative Adversarial Networks. Pattern Recognition, 2019 [6] Dan Li, Changde Du, Lijie Huang, Zhiqiang Chen, Huiguang He, Multi-Label Semantic Decoding from Human Brain Activity. International Conference on Pattern Recognition, 2018 [7] Cong Xu, Dan Li, Min Yang, Adversarial momentum contrastive pre-training. Pattern Recognition Letters, 2022 [8] Yufeng Wang, Dan Li, Xiang Li, Min Yang. PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data. Neural Networks, 2021. [9] Qiongyi Zhou, Changde Du, Dan Li, Bincheng Wen, Le Chang, Huiguang He, Interpretable Visual Neural Decoding with Unsupervised Semantic Disentanglement. Machine Intelligence Research, 2025 [10] Yixin Wang, Shuang Qiu, Dan Li, Changde Du, Bao-Liang Lu, Huiguang He, Multi-modal domain adaptation variational autoencoder for EEG-based emotion recognition. IEEE/CAA Journal of Automatica Sinica, 2022 [11] Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K Liu, Huiguang He, Neural encoding and decoding with a flow-based invertible generative model. IEEE Transactions on Cognitive and Developmental Systems, 2022 [12] Wei Wei, Shuang Qiu, Xuelin Ma, Dan Li, Bo Wang, Huiguang He, Reducing Calibration Efforts in RSVP Tasks with Multi-source Adversarial Domain Adaptation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020 [13] Haibao Wang, Lijie Huang, Changde Du, Dan Li, Bo Wang, Huiguang He, Neural Encoding for Human Visual Cortex with Deep Neural Networks Learning “What” and “Where”. IEEE Transactions on Cognitive and Developmental Systems, 2020 [14] Qiongyi Zhou, Changde Du, Dan Li, Haibao Wang, Jian K. Liu, Huiguang He,Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model. International Joint Conference on Neural Networks, 2020 [15] Zhiqiang Chen, Changde Du, Lijie Huang, Dan Li, Huiguang He, Improving Image Classification Performance with Automatically Hierarchical Label Clustering. International Conference on Pattern Recognition, 2018 [16] Bo Wang, Wei Wei, Shuang Qiu, Shengpei Wang, Dan Li, Huiguang He, Boundary Aware U-Net for Retinal Layers Segmentation in Optical Coherence Tomography Images. IEEE Journal of Biomedical and Health Informatics, 2021 |
