( en | de | ru )

 

Disambiguation of "Kong, Wanzeng"

Author of the publication

copydeleteadd this publication to your clipboard
Adaptive multi-task learning using lagrange multiplier for automatic art analysis.

, , , , and . Multim. Tools Appl., 81 (3): 3715-3733 (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Thay Kong

Xiangqing Kong

Seunghyun Kong

Deming Kong

Ping Kong

 

Other publications of authors with the same name

Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network., , , , , and . CW, page 225-230. IEEE, (2019)Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy., , , , , , and . IEEE J. Biomed. Health Informatics, 26 (10): 5085-5096 (2022)EEGNetT: EEG-based neural network for emotion recognition in real-world applications., , and . LifeTech, page 376-378. IEEE, (2021)An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection., , , , , and . IEEE Trans. Instrum. Meas., (2022)Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining., , , , , , and . IEEE Trans. Instrum. Meas., (2021)Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling., , , , and . NeurIPS, page 12113-12122. (2019)Task-Independent EEG Identification via Low-Rank Matrix Decomposition., , , , and . BIBM, page 412-419. IEEE Computer Society, (2018)A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG., , , , , and . BIBM, page 1135-1138. IEEE Computer Society, (2018)MMT: Multi-way Multi-modal Transformer for Multimodal Learning., , , , , , and . IJCAI, page 3458-3465. ijcai.org, (2022)Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model., , and . IWACI, page 46-52. IEEE, (2010)