@inproceedings{zhao2025cscgcl,title={CSCGCL: A New Seed-enhanced Community Detection Approach with Graph Contrastive Learning},author={Zhao, Debo and Zhou, Qifeng and Wu, Yangjian},booktitle={2025 China Automation Congress (CAC)},year={2025},pages={7531--7536},publisher={IEEE},doi={10.1109/CAC67268.2025.11487596},}
2023
MRL
UniBriVL: Robust Audio Representation and Generation of Audio Driven Diffusion Models
Sen Fang, Bowen Gao, Yangjian Wu, and Teik Toe Teoh
In Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL), 2023
@inproceedings{fang2023unibrivl,title={UniBriVL: Robust Audio Representation and Generation of Audio Driven Diffusion Models},author={Fang, Sen and Gao, Bowen and Wu, Yangjian and Teoh, Teik Toe},booktitle={Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)},year={2023},pages={1--11},publisher={Association for Computational Linguistics},doi={10.18653/v1/2023.mrl-1.1},}
ICONIP
Exploring Efficient-Tuned Learning Audio Representation Method from BriVL
Sen Fang, Yangjian Wu, Bowen Gao, Jingwen Cai, and Teik Toe Teoh
In Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023), Communications in Computer and Information Science, 2023
@inproceedings{fang2023exploring,title={Exploring Efficient-Tuned Learning Audio Representation Method from BriVL},author={Fang, Sen and Wu, Yangjian and Gao, Bowen and Cai, Jingwen and Teoh, Teik Toe},booktitle={Proceedings of the 30th International Conference on Neural Information Processing (ICONIP 2023), Communications in Computer and Information Science},year={2023},pages={41--53},publisher={Springer},doi={10.1007/978-981-99-8184-7_4},}