Jun Wang

According to our database, Jun Wang authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

CAMANet: Class Activation Map Guided Attention Network for Radiology Report Generation.

Jun Wang, Abhir Bhalerao, Terry Yin, Simon See, Yulan He

IEEE J. Biomed. Health Informatics, April, 2024

2023

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization.

Xiaohan Yu, Jun Wang, Yang Zhao, Yongsheng Gao

Pattern Recognit., 2023

Can Prompt Learning Benefit Radiology Report Generation?

Jun Wang, Lixing Zhu, Abhir Bhalerao, Yulan He

CoRR, 2023

CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization.

Xiaohan Yu, Jun Wang, Yongsheng Gao

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Optimizing Vision Transformers for Medical Image Segmentation.

Qianying Liu, Chaitanya Kaul, Jun Wang, Christos Anagnostopoulos, Roderick Murray-Smith, Fani Deligianni

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement.

Jun Wang, Hefeng Zhou, Xiaohan Yu

Proceedings of the IEEE International Conference on Acoustics, 2022

Cross-Modal Prototype Driven Network for Radiology Report Generation.

Jun Wang, Abhir Bhalerao, Yulan He

Proceedings of the Computer Vision - ECCV 2022, 2022

Lane Change Classification and Prediction with Action Recognition Networks.

Kai Liang, Jun Wang, Abhir Bhalerao

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining.

Jun Wang, Hefeng Zhou, Xiaohan Yu

CoRR, 2021

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation.

Jun Wang, Xiaohan Yu, Yongsheng Gao

CoRR, 2021

Mask Guided Attention For Fine-Grained Patchy Image Classification.

Jun Wang, Xiaohan Yu, Yongsheng Gao

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation.

Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Feature Fusion Vision Transformer for Fine-Grained Visual Categorization.

Jun Wang, Xiaohan Yu, Yongsheng Gao

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network.

Jun Wang, Qianying Liu, Haotian Xie, Zhaogang Yang, Hefeng Zhou

CoRR, 2020

2019

Bacterial Foraging Optimization with Memory and Clone Schemes for Dynamic Environments.

Ben Niu, Qianying Liu, Jun Wang

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Nurse scheduling problem based on hydrologic cycle optimization.

Qianying Liu, Ben Niu, Jun Wang, Hong Wang, Li Li

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

HCO-Based RFID Network Planning.

Jun Wang, Jinsong Chen, Qianying Liu, Jia Liu

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018

A Hybrid Model Based on K-EPF and DPIO for UAVs Target Detection.

Jinsong Chen, Lu Xiao, Jun Wang, Huan Liu, Qianying Liu

Proceedings of the Bio-inspired Computing: Theories and Applications, 2018