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ORCIDHuiguang He
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Publications
- 2024
[i15]Qiongyi Zhou, Changde Du, Shengpei Wang, Huiguang He:
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding. CoRR abs/2402.08994 (2024)- 2023
- [j37]Changde Du
, Kaicheng Fu, Jinpeng Li, Huiguang He:
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10760-10777 (2023) - [j36]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 Trans. Cogn. Dev. Syst. 15(2): 724-736 (2023) - [j34]Zhongyu Huang, Changde Du, Yingheng Wang, Kaicheng Fu, Huiguang He:
Graph-Enhanced Emotion Neural Decoding. IEEE Trans. Medical Imaging 42(8): 2262-2273 (2023) - [c62]Che Liu, Changde Du, Huiguang He:
RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. ICONIP (3) 2023: 227-238 - [c61]Changkai Ji, Changde Du, Qing Zhang, Sheng Wang, Chong Ma, Jiaming Xie, Yan Zhou, Huiguang He, Dinggang Shen:
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification. MICCAI (7) 2023: 68-78 - [c60]Yizhuo Lu, Changde Du, Qiongyi Zhou, Dianpeng Wang, Huiguang He:
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion. ACM Multimedia 2023: 5899-5908 - [c59]Xiaoyu Chen, Changde Du, Qiongyi Zhou, Huiguang He:
Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning. ACM Multimedia 2023: 6025-6033 - [i14]Ming Jin, Enwei Zhu, Changde Du, Huiguang He, Jinpeng Li:
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition. CoRR abs/2302.02520 (2023) - [i13]Yizhuo Lu, Changde Du, Dianpeng Wang, Huiguang He:
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion. CoRR abs/2303.14139 (2023) - [i12]Xiaoyu Chen, Changde Du, Qiongyi Zhou, Huiguang He:
Auditory Attention Decoding with Task-Related Multi-View Contrastive Learning. CoRR abs/2308.04244 (2023) - [i11]Yizhuo Lu, Changde Du, Qiongyi Zhou, Dianpeng Wang, Huiguang He:
MindDiffuser: Controlled Image Reconstruction from Human Brain Activity with Semantic and Structural Diffusion. CoRR abs/2308.04249 (2023) - 2022
- [j32]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 J. Autom. Sinica 9(9): 1612-1626 (2022) - [j30]Qiongyi Zhou, Changde Du, Huiguang He:
Exploring the Brain-like Properties of Deep Neural Networks: A Neural Encoding Perspective. Int. J. Autom. Comput. 19(5): 439-455 (2022) - [j28]Dan Li, Changde Du, Haibao Wang, Qiongyi Zhou, Huiguang He:
Deep Modality Assistance Co-Training Network for Semi-Supervised Multi-Label Semantic Decoding. IEEE Trans. Multim. 24: 3287-3299 (2022) - [j27]Changde Du, Changying Du, Lijie Huang, Haibao Wang, Huiguang He:
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. IEEE Trans. Neural Networks Learn. Syst. 33(2): 600-614 (2022) - [c57]Zhongyu Huang, Changde Du, Yingheng Wang, Huiguang He:
Graph Emotion Decoding from Visually Evoked Neural Responses. MICCAI (8) 2022: 396-405 - [c55]Xinyu Cheng, Wei Wei, Changde Du, Shuang Qiu, Sanli Tian, Xiaojun Ma, Huiguang He:
VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI. ACM Multimedia 2022: 209-217 - [i9]Haoyu Lu, Qiongyi Zhou, Nanyi Fei, Zhiwu Lu, Mingyu Ding, Jingyuan Wen, Changde Du, Xin Zhao, Hao Sun, Huiguang He, Ji-Rong Wen:
Multimodal foundation models are better simulators of the human brain. CoRR abs/2208.08263 (2022) - [i8]Changde Du, Kaicheng Fu, Jinpeng Li, Huiguang He:
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features. CoRR abs/2210.06756 (2022) - [i7]Kaicheng Fu, Changde Du, Shengpei Wang, Huiguang He:
Multi-view Multi-label Fine-grained Emotion Decoding from Human Brain Activity. CoRR abs/2211.02629 (2022) - 2021
- [j24]Changde Du, Changying Du, Huiguang He:
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning. Inf. Fusion 68: 118-130 (2021) - [j23]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. Inf. Sci. 547: 1025-1044 (2021) - [j19]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 Trans. Cogn. Dev. Syst. 13(4): 827-840 (2021) - [j16]Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He:
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 32(2): 799-813 (2021) - 2020
- [j13]Dan Li, Changde Du, Huiguang He:
Semi-supervised cross-modal image generation with generative adversarial networks. Pattern Recognit. 100: 107085 (2020) - [j12]Jinpeng Li, Shuang Qiu, Changde Du, Yixin Wang, Huiguang He:
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity. IEEE Trans. Cogn. Dev. Syst. 12(2): 344-353 (2020) - [c49]Changde Du, Changying Du, Lijie Huang, Huiguang He:
Conditional Generative Neural Decoding with Structured CNN Feature Prediction. AAAI 2020: 2629-2636 - [c44]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. IJCNN 2020: 1-8 - 2019
- [j9]Changde Du, Changying Du, Lijie Huang, Huiguang He:
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2310-2323 (2019) - [c39]Changde Du, Changying Du, Huiguang He:
Doubly Semi-Supervised Multimodal Adversarial Learning for Classification, Generation and Retrieval. ICME 2019: 13-18 - [c38]Haibao Wang, Lijie Huang, Changde Du, Huiguang He:
Learning "What" and "Where": An Interpretable Neural Encoding Model. IJCNN 2019: 1-8 - 2018
- [c36]Xuelin Ma, Shuang Qiu, Changde Du, Jiezhen Xing, Huiguang He:
Improving EEG-Based Motor Imagery Classification via Spatial and Temporal Recurrent Neural Networks. EMBC 2018: 1903-1906 - [c35]Zhiqiang Chen, Changde Du, Lijie Huang, Dan Li, Huiguang He:
Improving Image Classification Performance with Automatically Hierarchical Label Clustering. ICPR 2018: 1863-1868 - [c34]Dan Li, Changde Du, Lijie Huang, Zhiqiang Chen, Huiguang He:
Multi-label Semantic Decoding from Human Brain Activity. ICPR 2018: 3796-3801 - [c32]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia 2018: 108-116 - [i3]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR abs/1808.02096 (2018) - 2017
- [c30]Changde Du, Changying Du, Huiguang He:
Sharing deep generative representation for perceived image reconstruction from human brain activity. IJCNN 2017: 1049-1056 - [i2]Changde Du, Changying Du, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition. CoRR abs/1704.07548 (2017) - [i1]Changde Du, Changying Du, Huiguang He:
Sharing deep generative representation for perceived image reconstruction from human brain activity. CoRR abs/1704.07575 (2017)
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last updated on 2024-04-21 16:58 CEST by the dblp team
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