Changde Du

Orcid: 0000-0002-0084-433X

According to our database¹, Changde Du authored at least 44 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Animate Your Thoughts: Decoupled Reconstruction of Dynamic Natural Vision from Slow Brain Activity.

[BibT_eX]

[DOI]

CoRR, 2024

CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Graph-Enhanced Emotion Neural Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

Neural Encoding and Decoding With a Flow-Based Invertible Generative Model.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2023

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Che Liu

Changde Du

Huiguang He

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective.

[BibT_eX]

[DOI]

Qiongyi Zhou

Changde Du

Huiguang He

Int. J. Autom. Comput., 2022

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2022

Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity.

[BibT_eX]

[DOI]

CoRR, 2022

Multimodal foundation models are better simulators of the human brain.

[BibT_eX]

[DOI]

CoRR, 2022

VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Graph Emotion Decoding from Visually Evoked Neural Responses.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Neural Encoding for Human Visual Cortex With Deep Neural Networks Learning "What" and "Where".

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multimodal deep generative adversarial models for scalable doubly semi-supervised learning.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Inf. Fusion, 2021

2020

Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2020

Semi-supervised cross-modal image generation with generative adversarial networks.

[BibT_eX]

[DOI]

Dan Li

Changde Du

Huiguang He

Pattern Recognit., 2020

Simultaneous Neural Spike Encoding and Decoding Based on Cross-modal Dual Deep Generative Model.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Conditional Generative Neural Decoding with Structured CNN Feature Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Learning "What" and "Where": An Interpretable Neural Encoding Model.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Redundancy-resistant Generative Hashing for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-label Semantic Decoding from Human Brain Activity.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Improving Image Classification Performance with Automatically Hierarchical Label Clustering.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Semi-supervised Bayesian Deep Multi-modal Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Sharing deep generative representation for perceived image reconstruction from human brain activity.

[BibT_eX]

[DOI]

Changde Du

Changying Du

Huiguang He

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Online Bayesian Multiple Kernel Bipartite Ranking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Efficient Bayesian Maximum Margin Multiple Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Bayesian Group Feature Selection for Support Vector Learning Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Changde Du

Timeline

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On csauthors.net:

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