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Jiaxin Tan
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2020 – today
- 2024
- [j4]Tengteng Zhu, Zehua Guo, Chao Yao, Jiaxin Tan, Songshi Dou, Wenrun Wang, Zhenzhen Han:
Byzantine-robust Federated Learning via Cosine Similarity Aggregation. Comput. Networks 254: 110730 (2024) - [j3]Sihan Huang, Jiaxin Tan, Yuqian Lu, Shokraneh K. Moghaddam, Guoxin Wang, Yan Yan:
A multi-objective joint optimisation method for simultaneous part family formation and configuration design in delayed reconfigurable manufacturing system (D-RMS). Int. J. Prod. Res. 62(1-2): 92-109 (2024) - [j2]Yanxiong Li, Jialong Li, Yongjie Si, Jiaxin Tan, Qianhua He:
Few-Shot Class-Incremental Audio Classification With Adaptive Mitigation of Forgetting and Overfitting. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2297-2311 (2024) - [i2]Yanxiong Li, Jiaxin Tan, Guoqing Chen, Jialong Li, Yongjie Si, Qianhua He:
Low-Complexity Acoustic Scene Classification Using Parallel Attention-Convolution Network. CoRR abs/2406.08119 (2024) - [i1]Yongjie Si, Yanxiong Li, Jialong Li, Jiaxin Tan, Qianhua He:
Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor. CoRR abs/2406.08122 (2024) - 2023
- [c3]Jiaxin Tan, Chao Yao, Zehua Guo:
Efficient and Structural Gradient Compression with Principal Component Analysis for Distributed Training. APNet 2023: 217-218 - 2022
- [c2]Jiaxin Tan, Chuangbo Jiang, Laquan Li, Haoyuan Li, Weisheng Li, Shenhai Zheng:
msFormer: Adaptive Multi-Modality 3D Transformer for Medical Image Segmentation. PRCV (2) 2022: 311-322 - [c1]Shenhai Zheng, Jiaxin Tan, Chuangbo Jiang, Weisheng Li, Laquan Li:
L2-Norm Scaled Transformer for 3D Head and Neck Primary Tumors Segmentation in PET-CT. SMC 2022: 1186-1191 - 2020
- [j1]Weiping Zhang, Feiyue Xie, Jiaxin Tan:
A robust joint modeling approach for longitudinal data with informative dropouts. Comput. Stat. 35(4): 1759-1783 (2020)
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