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Our publications for Brain Media Research

Fares A., Zhong S. and Jiang J. (2020) 'Brain-media: A Dual Conditioned and Lateralization Supported GAN (DCLS-GAN) towards Visualization of Image-evoked Brain Activities', Accepted to ACM Multimedia 2020.
Jiang J., Fares A. and Zhong S. (2020) 'A Brain-Media Deep Framework Towards Seeing Imaginations Inside Brains', Accepted to: IEEE Transactions on Multimedia.
Wang J. and Jiang J. (2020) 'Adversarial Learning for Zero-shot Domain Adaptation', ECCV2020, 23-28 August 2020, Online.
Wang J. and Jiang J. (2019) 'Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation', ICCV2019, IEEE October 27-Nov 3, Seoul.
Zhong S., Fares A. and Jiang J. (2019) 'An Attentional-LSTM for Improved Classification of Brain Activities Evoked by Images', ACM Multimedia'2019.
Fares A., Zhong S. and Jiang J. (2019) 'EEG-Based Image Classification via a Region-Level Stacked Bi-directional Deep Learning Framework', Accepted to: BMC Medical Informatics & Decision Making.
Jiang J., Fares A. and Zhong S. (2019) 'A Context-Supported Deep Learning Framework for Multi-Modal Brain Imaging Classification', IEEE Transactions on Human-Machine Systems, Vol 49, Issue 6, pp 611-622, IEEE, USA.
Yang Y. and Jiang J. (2019) 'Adaptive Bi-Weighting Toward Automatic Initialization and Model Selection for HMM-Based Hybrid Meta-Clustering Ensembles', IEEE Transactions on Cybernetics, IEEE, Vol 49, Issue 5, May 2019, pp1657-1668.
Research Institute for Future Media Computing,Shenzhen University 2014 - 2022