Outstanding graduates are invited to apply for full PhD Studentships within the Research Institute. For further details, please click Here

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 - 2020