Jiaxin Tan

According to our database, Jiaxin Tan authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

A multi-objective joint optimisation method for simultaneous part family formation and configuration design in delayed reconfigurable manufacturing system (D-RMS).

Sihan Huang, Jiaxin Tan, Yuqian Lu, Shokraneh K. Moghaddam, Guoxin Wang, Yan Yan

Int. J. Prod. Res., January, 2024

Few-Shot Class-Incremental Audio Classification With Adaptive Mitigation of Forgetting and Overfitting.

Yanxiong Li, Jialong Li, Yongjie Si, Jiaxin Tan, Qianhua He

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Byzantine-robust Federated Learning via Cosine Similarity Aggregation.

Tengteng Zhu, Zehua Guo, Chao Yao, Jiaxin Tan, Songshi Dou, Wenrun Wang, Zhenzhen Han

Comput. Networks, 2024

Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor.

Yongjie Si, Yanxiong Li, Jialong Li, Jiaxin Tan, Qianhua He

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network.

Yanxiong Li, Jiaxin Tan, Guoqing Chen, Jialong Li, Yongjie Si, Qianhua He

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023

Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training.

Jiaxin Tan, Chao Yao, Zehua Guo

Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022

L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT.

Shenhai Zheng, Jiaxin Tan, Chuangbo Jiang, Weisheng Li, Laquan Li

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation.

Jiaxin Tan, Chuangbo Jiang, Laquan Li, Haoyuan Li, Weisheng Li, Shenhai Zheng

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2020

A robust joint modeling approach for longitudinal data with informative dropouts.

Weiping Zhang, Feiyue Xie, Jiaxin Tan

Comput. Stat., 2020