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 | 176 | 2019 |
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 | 88 | 2018 |
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 | 87 | 2018 |
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 | 65 | 2017 |
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 | 59 | 2020 |
Semi-supervised cross-modal image generation with generative adversarial networks D Li, C Du, H He Pattern Recognition 100, 107085, 2020 | 45 | 2020 |
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 | 30 | 2016 |
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 | 29 | 2022 |
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 | 27 | 2018 |
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 | 22 | 2023 |
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 | 22 | 2019 |
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 | 21 | 2020 |
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning C Du, C Du, H He Information Fusion 68, 118-130, 2021 | 17 | 2021 |
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 | 17 | 2018 |
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 | 14 | 2020 |
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 | 13 | 2021 |
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 | 13 | 2016 |
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 | 11 | 2022 |
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 | 10 | 2020 |