Peizhu Gong

According to our database, Peizhu Gong authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

Towards robust sentiment analysis with multimodal interaction graph and hybrid contrastive learning.

Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Lai Wei, Huihua He

Pattern Recognit., 2026

2025

Population Normalization for Federated Learning.

Zhuoyao Wang, Fan Yi, Peizhu Gong, Caitou He, Cheng Jin, Weizhong Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Learning Dynamic Interactions and Long-Term Patterns With Spatio-Temporal Graphs for Multi-Vessel Trajectory Prediction.

Xiliang Zhang, Jin Liu, Kejie Chen, Peizhu Gong, Yuxin Liu, Zhongdai Wu

IEEE Trans. Intell. Veh., December, 2024

MAGDRA: A Multi-modal Attention Graph Network with Dynamic Routing-By-Agreement for multi-label emotion recognition.

Xingye Li, Jin Liu, Yurong Xie, Peizhu Gong, Xiliang Zhang, Huihua He

Knowl. Based Syst., January, 2024

2023

A Multi-Stage Hierarchical Relational Graph Neural Network for Multimodal Sentiment Analysis.

Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Circulant-interactive Transformer with Dimension-aware Fusion for Multimodal Sentiment Analysis.

Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Zijun Yu

Proceedings of the Asian Conference on Machine Learning, 2022

2020

TSER: A Two-Stage Character Segmentation Network With Two-Stream Attention and Edge Refinement.

Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong, Mingyang Duan

IEEE Access, 2020

Towards Knowledge Enhanced Language Model for Machine Reading Comprehension.

Peizhu Gong, Jin Liu, Yihe Yang, Huihua He

IEEE Access, 2020