Shengjia Zhang

According to our database, Shengjia Zhang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Complex Gaussian Fuzzy Numbers-Based Multisource Information Fusion for Pattern Classification.

Shengjia Zhang, Mingrui Yin, Fuyuan Xiao, Zehong Cao, Danilo Pelusi

IEEE Trans. Fuzzy Syst., May, 2024

Unsupervised Multi-collaborative Learning Network for 3D Face Reconstruction.

Wenlong Lu, Suping Wu, Xitie Zhang, Shengjia Zhang

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

GFAvatar: A High-Quality Facial Avatar Reconstruction Method.

Shengjia Zhang, Suping Wu

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

Crafting Lifelike Avatars: Model Compression and Advanced Rendering Techniques.

Shengjia Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Finding High-Quality Item Attributes for Recommendation.

Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang

IEEE Trans. Knowl. Data Eng., August, 2023

A TFN-based uncertainty modeling method in complex evidence theory for decision making.

Shengjia Zhang, Fuyuan Xiao

Inf. Sci., 2023

2022

Data-Free Area Detection and Evaluation for Marine Satellite Data Products.

Shengjia Zhang, Hongchun Zhu, Jie Li, Yanrui Yang, Haiying Liu

Remote. Sens., 2022

2021

Extracting Terrain Texture Features for Landform Classification Using Wavelet Decomposition.

Yuexue Xu, Shengjia Zhang, Jinyu Li, Haiying Liu, Hongchun Zhu

ISPRS Int. J. Geo Inf., 2021

Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning.

Shengjia Zhang, Tiancheng Lin, Yi Xu

CoRR, 2021

Synthesizing Fundus Photographies for Training Segmentation Networks.

Jannes Magnusson, Ahmed J. Afifi, Shengjia Zhang, Andreas Ley, Olaf Hellwich

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021