Yaguang Song

According to our database, Yaguang Song authored at least 20 papers between 2019 and 2026.

Collaborative distances:

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

2026

Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging.

Zhilin Zhu, Yabin Wang, Zhiheng Ma, Yaguang Song, Yaowei Wang, Xiaopeng Hong

CoRR, May, 2026

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging.

Zibo Shao, Baochen Xiong, Xiaoshan Yang, Yaguang Song, Qimeng Zhang, Haifeng Chen, Changsheng Xu

CoRR, April, 2026

A Step Toward Federated Pretraining of Multimodal Large Language Models.

Baochen Xiong, Yifan Xu, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu

CoRR, March, 2026

Explicit Uncertainty Modeling for Active CLIP Adaptation with Dual Prompt Tuning.

Qian-Wei Wang, Yaguang Song, Shu-Tao Xia

CoRR, February, 2026

Fine-tuning Pre-trained Vision-Language Models in a Human-Annotation-Free Manner.

Qian-Wei Wang, Guanghao Meng, Ren Cai, Yaguang Song, Shu-Tao Xia

CoRR, February, 2026

2025

Health-oriented Multimodal Food Question Answering with Implicit and Explicit Knowledge.

Menghao Hu, Yaguang Song, Xiaoshan Yang, Yaowei Wang, Changsheng Xu

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

Harmony: A Unified Framework for Modality Incremental Learning.

Yaguang Song, Xiaoshan Yang, Dongmei Jiang, Yaowei Wang, Changsheng Xu

CoRR, April, 2025

Towards A Real-World Road Damage Detection Dataset.

Menghao Hu, Zuogan Tang, Xiaoshan Yang, Zhe Wu, Zhouxin Yang, Shaocong Wu, Yaguang Song, Kui Hou, Qingfang Zheng, Yaowei Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Pilot: Building the Federated Multimodal Instruction Tuning Framework.

Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Recovering Generalization via Pre-Training-Like Knowledge Distillation for Out-of-Distribution Visual Question Answering.

Yaguang Song, Xiaoshan Yang, Yaowei Wang, Changsheng Xu

IEEE Trans. Multim., 2024

Part-Aware Prompt Tuning for Weakly Supervised Referring Expression Grounding.

Chenlin Zhao, Jiabo Ye, Yaguang Song, Ming Yan, Xiaoshan Yang, Changsheng Xu

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Libra: Building Decoupled Vision System on Large Language Models.

Yifan Xu, Xiaoshan Yang, Yaguang Song, Changsheng Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Modality-Collaborative Test-Time Adaptation for Action Recognition.

Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Self-supervised Calorie-aware Heterogeneous Graph Networks for Food Recommendation.

Yaguang Song, Xiaoshan Yang, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., February, 2023

A 0.1-1.9GHz 65nm CMOS variable-gain mixer-first receiver with DSA and noise-shaping TIA.

Yaguang Song, Yilun Wang, Jiarui Liu, Hua Chen, Faxin Yu

IEICE Electron. Express, 2023

Health-Oriented Multimodal Food Question Answering.

Jianghai Wang, Menghao Hu, Yaguang Song, Xiaoshan Yang

Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

Client-Adaptive Cross-Model Reconstruction Network for Modality-Incomplete Multimodal Federated Learning.

Baochen Xiong, Xiaoshan Yang, Yaguang Song, Yaowei Wang, Changsheng Xu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Learning Hierarchical Video Graph Networks for One-Stop Video Delivery.

Yaguang Song, Junyu Gao, Xiaoshan Yang, Changsheng Xu

ACM Trans. Multim. Comput. Commun. Appl., 2022

2020

Visual Fatigue Assessment Based on Multi-task Learning.

Danli Wang, Xueyu Wang, Yaguang Song, Qian Xing, Nan Zheng

Proceedings of the Stereoscopic Displays and Applications XXXI, 2020

2019

EEG-Based Motor Imagery Classification with Deep Multi-Task Learning.

Yaguang Song, Danli Wang, Kang Yue, Nan Zheng, Zuo-Jun Max Shen

Proceedings of the International Joint Conference on Neural Networks, 2019