Changde Du
Orcid: 0000-0002-0084-433X
According to our database1,
Changde Du
authored at least 54 papers
between 2016 and 2025.
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Bibliography
2025
Identifying the hierarchical emotional areas in the human brain through information fusion.
Inf. Fusion, 2025
2024
IEEE Trans. Neural Networks Learn. Syst., July, 2024
IEEE Trans. Multim., 2024
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations.
IEEE Trans. Affect. Comput., 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features.
CoRR, 2024
NeuralOOD: Improving Out-of-Distribution Generalization Performance with Brain-machine Fusion Learning Framework.
CoRR, 2024
Human-like object concept representations emerge naturally in multimodal large language models.
CoRR, 2024
Multi-label Class Incremental Emotion Decoding with Augmented Emotional Semantics Learning.
CoRR, 2024
Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI.
CoRR, 2024
Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
IEEE Trans. Cogn. Dev. Syst., 2023
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion.
CoRR, 2023
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations.
IEEE Trans. Neural Networks Learn. Syst., 2022
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding.
IEEE Trans. Multim., 2022
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective.
Int. J. Autom. Comput., 2022
Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition.
IEEE CAA J. Autom. Sinica, 2022
VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where".
IEEE Trans. Cogn. Dev. Syst., 2021
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning.
Inf. Sci., 2021
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning.
Inf. Fusion, 2021
2020
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity.
IEEE Trans. Cogn. Dev. Syst., 2020
Pattern Recognit., 2020
Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Improving Image Classification Performance with Automatically Hierarchical Label Clustering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Sharing deep generative representation for perceived image reconstruction from human brain activity.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016