Feng Tan

According to our database, Feng Tan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Fuzzy Mixture-of-Experts Aggregation for Organoid Identification With Multiscale State Space Features.

Xun Deng, Pengwei Hu, Thomas Herget, Feng Tan, Xiaobo Zhu, Jun Zhang, Yuan Huang, Lun Hu, Zhuhong You, Xin Luo

IEEE Trans. Fuzzy Syst., January, 2026

2025

CLORG: A contrastive learning-based framework for morphological representation and classification of organoids.

Yafang Wei, Pengwei Hu, Xun Deng, Feng Tan, Thomas Herget, Mei Gao, Lun Hu, Xin Luo

Array, 2025

2024

Multi-Axis Attention with Convolution Parallel Block for Organoid Segmentation.

Pengwei Hu, Xun Deng, Feng Tan, Lun Hu

IEEE CAA J. Autom. Sinica, May, 2024

Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations.

Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo

IEEE Trans. Ind. Informatics, March, 2024

2023

Artificial intelligence accelerates multi-modal biomedical process: A Survey.

Jiajia Li, Xue Han, Yiming Qin, Feng Tan, Yulong Chen, Zikai Wang, Haitao Song, Xi Zhou, Yuan Zhang, Lun Hu, Pengwei Hu

Neurocomputing, November, 2023

TransOrga: End-To-End Multi-modal Transformer-Based Organoid Segmentation.

Yiming Qin, Jiajia Li, Yulong Chen, Zikai Wang, Yu-An Huang, Zhuhong You, Lun Hu, Pengwei Hu, Feng Tan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series.

Cheng He, Fulong Tian, Peijiao Xue, Yuan Wu, Yao Li, Jiajia Li, Zikai Wang, Feng Tan, Hongyang Chen, Linghe Kong

Proceedings of the IEEE International Conference on Data Mining, 2023

MLGL: Model-free Lesion Generation and Learning for Diabetic Retinopathy Diagnosis.

Jiajia Li, Chenhao Lin, Zikai Wang, Haitao Song, Feng Tan, Lun Hu, Pengwei Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Making the Implicit Explicit: Depression Detection in Web across Posted Texts and Images.

Pengwei Hu, Chenhao Lin, Jiajia Li, Feng Tan, Xue Han, Xi Zhou, Lun Hu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

B-AT-KD: Binary attention map knowledge distillation.

Xing Wei, Yuqing Liu, Jiajia Li, Huiyong Chu, Zichen Zhang, Feng Tan, Pengwei Hu

Neurocomputing, 2022

T2I-Net: Time Series Classification via Deep Sequence-to-image Transformation Networks.

Longxuan Yu, Jiajia Li, Tianyi Wang, Feng Tan, Cheng He, Haitao Song

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022