Fengqian Pang

According to our database, Fengqian Pang authored at least 15 papers between 2015 and 2025.

Collaborative distances:

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

2025

MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images.

Fengqian Pang, Chunyue Lei, Hongfei Zhao, Chenghao Liu, Zhiqiang Xing, Huafeng Wang, Chuyang Ye

CoRR, July, 2025

An Earth Mover's Distance-Based Self-Supervised Framework for Cellular Dynamic Grading in Live-Cell Imaging.

Fengqian Pang, Chunyue Lei, Hongfei Zhao, Zhiqiang Xing

J. Comput. Biol., 2025

Improved Transfer Learning Based on Increased Model Capacity and Weight Re-initialization for ResNet.

Fengqian Pang, Yunjian He, Yingying Kang, Yuming Xia, Qian Li, Ruiyi Xu, Zhiqiang Xing

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

F_MixBERT: Sentiment Analysis Model using Focal Loss for Imbalanced E-commerce Reviews.

Fengqian Pang, Xi Chen, Letong Li, Xin Xu, Zhiqiang Xing

KSII Trans. Internet Inf. Syst., 2024

2023

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.

Zipei Zhao, Fengqian Pang, Yaou Liu, Zhiwen Liu, Chuyang Ye

CoRR, 2023

2022

DD-YOLO: An object detection method combining knowledge distillation and Differentiable Architecture Search.

Zhiqiang Xing, Xi Chen, Fengqian Pang

IET Comput. Vis., 2022

2021

Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.

Zipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.

Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

A modeling strategy for cell dynamic morphology classification based on local deformation patterns.

Heng Li, Fengqian Pang, Zhiwen Liu

Biomed. Signal Process. Control., 2019

2018

Computational Analysis of Cell Dynamics in Videos with Hierarchical-Pooled Deep-Convolutional Features.

Fengqian Pang, Heng Li, Yonggang Shi, Zhiwen Liu

J. Comput. Biol., 2018

2017

Misclassified Samples based Hierarchical Cascaded Classifier for Video Face Recognition.

Zheyi Fan, Shuqin Weng, Yajun Zeng, Jiao Jiang, Fengqian Pang, Zhiwen Liu

KSII Trans. Internet Inf. Syst., 2017

Cell dynamic morphology analysis by deep convolutional features.

Heng Li, Zhiwen Liu, Fengqian Pang, Yonggang Shi

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Characterization of single cell dynamic morphology by local deformation pattern modeling.

Heng Li, Zhiwen Liu, Fengqian Pang, Yonggang Shi

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015

The measurement of cell viability based on temporal bag of words for image sequences.

Fengqian Pang, Zhiwen Liu, Heng Li, Yonggang Shi

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Analyzing dynamic cellular morphology in time-lapsed images enabled by cellular deformation pattern recognition.

Heng Li, Zhiwen Liu, Fengqian Pang, Zhiyi Fan, Yonggang Shi

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015