Kuan-Jung Chiang

According to our database, Kuan-Jung Chiang authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Empirical validation of task-related component analysis reformulation for computational complexity reduction.

Kuan-Jung Chiang, Chi Man Wong, Feng Wan, Tzyy-Ping Jung, Masaki Nakanishi

Biomed. Signal Process. Control., September, 2023

SSVEP-DAN: A Data Alignment Network for SSVEP-based Brain Computer Interfaces.

Sung-Yu Chen, Chi-Min Chang, Kuan-Jung Chiang, Chun-Shu Wei

CoRR, 2023

Using EEG Signals to Assess Workload during Memory Retrieval in a Real-world Scenario.

Kuan-Jung Chiang, Steven Dong, Chung-Kuan Cheng, Tzyy-Ping Jung

CoRR, 2023

2021

Boosting Template-based SSVEP Decoding by Cross-domain Transfer Learning.

Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung

CoRR, 2021

A Comparison Study of Single- and Multiple-Target Stimulation Methods for Eliciting Steady-State Visual Evoked Potentials.

Chuyang Xiao, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

A Closed-loop Adaptive Brain-computer Interface Framework: Improving the Classifier with the Use of Error-related Potentials.

Kuan-Jung Chiang, Dimitra Emmanouilidou, Hannes Gamper, David Johnston, Mihai Jalobeanu, Edward Cutrell, Andrew D. Wilson, Winko W. An, Ivan Tashev

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

Decoding Music Attention from "EEG Headphones": A User-Friendly Auditory Brain-Computer Interface.

Winko W. An, Barbara G. Shinn-Cunningham, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Mihai Jalobeanu, Edward Cutrell, Andrew D. Wilson, Kuan-Jung Chiang, Ivan Tashev

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses.

Masaki Nakanishi, Yu-Te Wang, Chun-Shu Wei, Kuan-Jung Chiang, Tzyy-Ping Jung

IEEE Trans. Biomed. Eng., 2020

Statistically Optimized Spatial Filtering in Decoding Steady-State Visual Evoked Potentials Based on Task-Related Component Analysis.

Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

EEG-Based User Authentication Using a Convolutional Neural Network.

Ting Yu, Chun-Shu Wei, Kuan-Jung Chiang, Masaki Nakanishi, Tzyy-Ping Jung

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces.

Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018

Cross-Subject Transfer Learning on High-Speed Steady-State Visual Evoked Potential-Based Brain-Computer Interface.

Kuan-Jung Chiang, Chun-Shu Wei, Masaki Nakanishi, Tzyy-Ping Jung

CoRR, 2018

Exploring Human Variability in Steady-State Visual Evoked Potentials.

Chun-Shu Wei, Masaki Nakanishi, Kuan-Jung Chiang, Tzyy-Ping Jung

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Evaluating the Performance of Non-Hair SSVEP-Based BCIs Featuring Template-Based Decoding Methods.

Wen-Hsuan Chan, Kuan-Jung Chiang

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

BLE Tree Networks for Sensor Devices in Internet of Things.

Sheng-De Wang, Kuan-Jung Chiang

Proceedings of the 15th IEEE Intl Conf on Dependable, 2017