Dongjun Liu

According to our database, Dongjun Liu authored at least 12 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Spontaneous Spatial Cognition Emerges during Egocentric Video Viewing through Non-invasive BCI.

Weichen Dai, Yuxuan Huang, Li Zhu, Dongjun Liu, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Fabio Babiloni, Ke Li, Jianyu Qiu, Gangyong Jia, Wanzeng Kong, Qing Wu

CoRR, July, 2025

Fine-grained Semantic Disentanglement Network for Multimodal Sarcasm Analysis.

Jiajia Tang, Binbin Ni, Feiwei Zhou, Dongjun Liu, Yu Ding, Yong Peng, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong

ACM Trans. Multim. Comput. Commun. Appl., June, 2025

Brain-Machine Cross-Modal Alignment via Sample Relational Learning for Visual Classification.

Dongjun Liu, Weichen Dai, Honggang Liu, Hangjie Yi, Wanzeng Kong

ACM Trans. Multim. Comput. Commun. Appl., June, 2025

DARN: A Dual Attention Refinement Network for Enhancing Feature Robustness in VEP-Based EEG Biometrics.

Honggang Liu, Han Yang, Dongjun Liu, Hangjie Yi, Bingfeng He, Yong Peng, Wanzeng Kong

IEEE Trans. Inf. Forensics Secur., 2025

2024

Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models.

Hangjie Yi, Yuhang Ming, Dongjun Liu, Wanzeng Kong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

GT-KGCN: Gene Essentiality Prediction with Graph Transformer and Kolmogorov-Arnold Network.

Rukai Liu, Bing Jia, Baoqi Huang, Winston K. G. Seah, Fei Hao, Dongjun Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Brain-Machine Coupled Learning Method for Facial Emotion Recognition.

Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao, Wanzeng Kong

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

BAFN: Bi-Direction Attention Based Fusion Network for Multimodal Sentiment Analysis.

Jiajia Tang, Dongjun Liu, Xuanyu Jin, Yong Peng, Qibin Zhao, Yu Ding, Wanzeng Kong

IEEE Trans. Circuits Syst. Video Technol., April, 2023

DeepLA: A deep learning-based model for predicting protein function from protein sequence and evolutionary information.

Bing Jia, Tao Feng, Chenri Li, Baoqi Huang, Fei Hao, Dongjun Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2019

On entropy function and reliability indicator for D numbers.

Jun Xia, Yuqiang Feng, Luning Liu, Dongjun Liu, Liguo Fei

Appl. Intell., 2019

2018

An Evidential Reliability Indicator-Based Fusion Rule for Dempster-Shafer Theory and its Applications in Classification.

Jun Xia, Yuqiang Feng, Luning Liu, Dongjun Liu, Liguo Fei

IEEE Access, 2018

2015

Influencing Factors for Carbon Information Disclosure of Chinese Listed Companies Based on Network Media Data.

Li Li, Xi He, Dongjun Liu

Proceedings of the Information Technology and Intelligent Transportation Systems, 2015