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Changde Du
Title
Cited by
Cited by
Year
Domain adaptation for EEG emotion recognition based on latent representation similarity
J Li, S Qiu, C Du, Y Wang, H He
IEEE Transactions on Cognitive and Developmental Systems 12 (2), 344-353, 2019
1692019
Improving EEG-based motor imagery classification via spatial and temporal recurrent neural networks
X Ma, S Qiu, C Du, J Xing, H He
2018 40th annual international conference of the IEEE engineering in …, 2018
872018
Reconstructing perceived images from human brain activities with Bayesian deep multiview learning
C Du, C Du, L Huang, H He
IEEE transactions on neural networks and learning systems 30 (8), 2310-2323, 2018
852018
Sharing deep generative representation for perceived image reconstruction from human brain activity
C Du, C Du, H He
2017 International Joint Conference on Neural Networks (IJCNN), 1049-1056, 2017
652017
Semi-supervised deep generative modelling of incomplete multi-modality emotional data
CD al.
2018 ACM Multimedia Conference on Multimedia Conference, ACM, 108-116, 2018
60*2018
Dynamical channel pruning by conditional accuracy change for deep neural networks
Z Chen, TB Xu, C Du, CL Liu, H He
IEEE transactions on neural networks and learning systems 32 (2), 799-813, 2020
572020
Semi-supervised cross-modal image generation with generative adversarial networks
D Li, C Du, H He
Pattern Recognition 100, 107085, 2020
452020
A catalog of early-type emission-line stars and Hα line profiles from LAMOST DR2
W Hou, AL Luo, JY Hu, HF Yang, CD Du, C Liu, CD Lee, CC Lin, ...
Research in Astronomy and Astrophysics 16 (9), 006, 2016
302016
Multi-modal domain adaptation variational autoencoder for EEG-based emotion recognition
Y Wang, S Qiu, D Li, C Du, BL Lu, H He
IEEE/CAA Journal of Automatica Sinica 9 (9), 1612-1626, 2022
272022
Multi-view adversarially learned inference for cross-domain joint distribution matching
C Du, C Du, X Xie, C Zhang, H Wang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
272018
Brain encoding and decoding in fMRI with bidirectional deep generative models
C Du, J Li, L Huang, H He
Engineering 5 (5), 948-953, 2019
222019
Decoding visual neural representations by multimodal learning of brain-visual-linguistic features
C Du, K Fu, J Li, H He
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
212023
Structured neural decoding with multitask transfer learning of deep neural network representations
C Du, C Du, L Huang, H Wang, H He
IEEE Transactions on Neural Networks and Learning Systems 33 (2), 600-614, 2020
212020
Carbon stars identified from LAMOST DR4 using machine learning
YB Li, AL Luo, CD Du, F Zuo, MX Wang, G Zhao, BW Jiang, HW Zhang, ...
The Astrophysical Journal Supplement Series 234 (2), 31, 2018
172018
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning
C Du, C Du, H He
Information Fusion 68, 118-130, 2021
162021
Neural encoding for human visual cortex with deep neural networks learning “what” and “where”
H Wang, L Huang, C Du, D Li, B Wang, H He
IEEE Transactions on Cognitive and Developmental Systems 13 (4), 827-840, 2020
142020
Multi-subject data augmentation for target subject semantic decoding with deep multi-view adversarial learning
D Li, C Du, S Wang, H Wang, H He
Information Sciences 547, 1025-1044, 2021
132021
An efficient method for rare spectra retrieval in astronomical databases
C Du, A Luo, H Yang, W Hou, Y Guo
Publications of the Astronomical Society of the Pacific 128 (961), 034502, 2016
132016
Exploring the brain-like properties of deep neural networks: A neural encoding perspective
Q Zhou, C Du, H He
Machine Intelligence Research 19 (5), 439-455, 2022
102022
Conditional generative neural decoding with structured CNN feature prediction
C Du, C Du, L Huang, H He
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2629-2636, 2020
102020
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Articles 1–20