Chenhan Wang

According to our database, Chenhan Wang authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life.

Chenhan Wang, Zhengyi Bao, Huipin Lin, Jiahao Nie, Chunxiang Zhu

CoRR, March, 2026

A novel transfer learning method for bearing fault diagnosis based on squeeze-excitation dilated SincNet combined with physics-informed subdomain adaptation.

Jingshu Zhong, Liang Chen, Siqi Qiu, Chenhan Wang, Yu Zheng

Eng. Appl. Artif. Intell., 2026

2025

Towards Agile and Judicious Metadata Load Balancing for Ceph File System via Matrix-based Modeling.

Xinyang Shao, Yiduo Wang, Cheng Li, Hengyu Liang, Chenhan Wang, Feng Yan, Yinlong Xu

ACM Trans. Storage, November, 2025

Towards Competent AI for Fundamental Analysis in Finance: A Benchmark Dataset and Evaluation.

Zonghan Wu, Junlin Wang, Congyuan Zou, Chenhan Wang, Yilei Shao

CoRR, June, 2025

Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models.

Zongru Shao, Xin Wang, Zhanyang Liu, Chenhan Wang, K. P. Subbalakshmi

CoRR, May, 2025

Prediction model optimization of gas turbine remaining useful life based on transfer learning and simultaneous distillation pruning algorithm.

Yu Zheng, Liang Chen, Xiangyu Bao, Fei Zhao, Jingshu Zhong, Chenhan Wang

Reliab. Eng. Syst. Saf., 2025

AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis.

Luyao Wang, Chenhan Wang, Chenyang Li, Toshiya Murai, Yicai Bai, Ziyan Song, Shuoyan Zhang, Qi Zhang, Yu Huang, Xiaoying Bi, Jiehui Jiang

npj Digit. Medicine, 2025

Diagno-S: Towards Verifiable Medical Reasoning via Diagnostic Decomposition.

Xunfei Zhu, Chenhan Wang, Shangkeng Wu, Puyuan Yang, Tianxiang Xu, Kang Liang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

SREDet: Semantic-Driven Rotational Feature Enhancement for Oriented Object Detection in Remote Sensing Images.

Zehao Zhang, Chenhan Wang, Huayu Zhang, Dacheng Qi, Qingyi Liu, Yufeng Wang, Wenrui Ding

Remote. Sens., July, 2024

Research on load-balancing scheduling optimization for wafer surface defect detection.

Tundong Liu, Fengqiang Gao, Xin Chen, Guifang Shao, Chenhan Wang

J. Supercomput., January, 2024

Area Intervention for Enhancing Class Activation Maps in Weakly Supervised Semantic Segmentation.

Xuewei Li, Yujie Diao, Mei Yu, Chenhan Wang, Jie Gao, Ruiguo Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Pixel-wise Reclassification with Prototypes for Enhancing Weakly Supervised Semantic Segmentation.

Yujie Diao, Ruiguo Yu, Xuewei Li, Yilong Fan, Zhiqiang Liu, Mei Yu, Chenhan Wang, Jie Gao

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

RFI-GAN: A reference-guided fuzzy integral network for ultrasound image augmentation.

Ruixuan Zhang, Wenhuan Lu, Jie Gao, Yuan Tian, Xi Wei, Chenhan Wang, Xuewei Li, Mei Yu

Inf. Sci., April, 2023

Adversarial Domain Adaptation Network with Enhanced Feature Discriminability for Thyroid Ultrasound Images.

Xuewei Li, Pinjie Li, Ruixuan Zhang, Chenhan Wang, Xi Wei, Mankun Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

Federated Learning with ResNet-18 for Medical Image Diagnosis.

Chenhan Wang

Proceedings of the 2023 8th International Conference on Multimedia Systems and Signal Processing, 2023

Region-Specific Prototype Customization for Weakly Supervised Semantic Segmentation.

Ruiguo Yu, Yihang Zhao, Mei Yu, Jie Gao, Chenhan Wang, Ruixuan Zhang, Xuewei Li

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Dynamic sample weighting for weakly supervised object detection.

Xuewei Li, Song Yi, Ruixuan Zhang, Xuzhou Fu, Han Jiang, Chenhan Wang, Zhiqiang Liu, Jie Gao, Jian Yu, Mei Yu, Ruiguo Yu

Image Vis. Comput., 2022

FBCU-Net: A fine-grained context modeling network using boundary semantic features for medical image segmentation.

Mei Yu, Kaijie Pei, Xuewei Li, Xi Wei, Chenhan Wang, Jie Gao

Comput. Biol. Medicine, 2022

2021

EDGE Enhancement Network for Weakly Supervised Semantic Segmentation.

Mei Yu, Junbin Wei, Chenhan Wang, Han Jiang, Jian Yu, Ruixuan Zhang, Xuewei Li, Ruiguo Yu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2018

Remote Sensing Image Segmentation by Combining Feature Enhanced with Fully Convolutional Network.

Ruiguo Yu, Xuzhou Fu, Han Jiang, Chenhan Wang, Xuewei Li, Mankun Zhao, Xiang Ying, Hongqian Shen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Dual-Convolutional Enhanced Residual Network for Single Super-Resolution of Remote Sensing Images.

Xuewei Li, Hongqian Shen, Chenhan Wang, Han Jiang, Ruiguo Yu, Jianrong Wang, Mankun Zhao

Proceedings of the Neural Information Processing - 25th International Conference, 2018