Metaformer Model with ArcFaceLoss and Contrastive Learning for SnakeCLEF2023 Fine-Grained Classification. - Zhennan Shi; Huazhen Chen; Chang Liu; Jun Qiu (CLEF (Working Notes), 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, 2023)

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)

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)

FET-FGVC: Feature-enhanced transformer for fine-grained visual classification. - Huazhen Chen; Haimiao Zhang; Chang Liu 026; Jianpeng An; Zhongke Gao; Jun Qiu (Pattern Recognit., 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)

A Comparative Study of Causality Detection Methods in Root Cause Diagnosis: From Industrial Processes to Brain Networks. - Sun Zhou 001; He Cai; Huazhen Chen; Lishan Ye (Sensors, 2024)

Latent Prototype-Based Clustering: A Novel Exploratory Electroencephalography Analysis Approach. - Sun Zhou 001; Pengyi Zhang; Huazhen Chen (Sensors, 2024)

MTECC: A Multitask Learning Framework for Esophageal Cancer Analysis. - Jianpeng An; Wenqi Li; Yunhao Bai; Huazhen Chen; Gang Zhao; Qing Cai; Zhongke Gao (IEEE Trans. Artif. Intell., 2024)