Huazhen Chen

According to our database, Huazhen Chen authored at least 8 papers between 2023 and 2024.

Collaborative distances:

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

2024

Latent Prototype-Based Clustering: A Novel Exploratory Electroencephalography Analysis Approach.

Sun Zhou, Pengyi Zhang, Huazhen Chen

Sensors, August, 2024

A Comparative Study of Causality Detection Methods in Root Cause Diagnosis: From Industrial Processes to Brain Networks.

Sun Zhou, He Cai, Huazhen Chen, Lishan Ye

Sensors, August, 2024

Simulation of Segmented Clustering of Cloud Storage Data Based on Neural Network Models and Python.

Guoqing Xia, Huazhen Chen

Scalable Comput. Pract. Exp., 2024

FET-FGVC: Feature-enhanced transformer for fine-grained visual classification.

Huazhen Chen, Haimiao Zhang, Chang Liu, Jianpeng An, Zhongke Gao, Jun Qiu

Pattern Recognit., 2024

Masked autoencoders with handcrafted feature predictions: Transformer for weakly supervised esophageal cancer classification.

Yunhao Bai, Wenqi Li, Jianpeng An, Lili Xia, Huazhen Chen, Gang Zhao, Zhongke Gao

Comput. Methods Programs Biomed., 2024

Efficient nuclei semantic segmentation in histopathology images: A weakly supervised approach with color and sure-foreground extraction.

Nyi Nyi Naing, Huazhen Chen, Lili Xia, Zhongke Gao, Jianpeng An

Biomed. Signal Process. Control., 2024

2023

WS-MTST: Weakly Supervised Multi-Label Brain Tumor Segmentation With Transformers.

Huazhen Chen, Jianpeng An, Bochang Jiang, Lili Xia, Yunhao Bai, Zhongke Gao

IEEE J. Biomed. Health Informatics, December, 2023

Metaformer Model with ArcFaceLoss and Contrastive Learning for SnakeCLEF2023 Fine-Grained Classification.

Zhennan Shi, Huazhen Chen, Chang Liu, Jun Qiu

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023