| CV | Google Scholar | Github |

Jun is a 2rd-year Ph.D. student at University of Warwick, UK, supervised by Prof. Abhir Bhalerao and Prof. Yulan He. Jun's research interests lie in the field of Computer Vision and Image Processing, particularly in high-level image understanding, e.g., Radiology Report Generation, and fine-grained visual categorization. He's also affiliated with the Integrated and Intelligent Systems, Griffith University, Australia supervised by Prof. Yongsheng Gao and Dr. Xiaohan Yu. Jun collaborated with them on a series of works.

Jun received his M.Sc degree in Artificial Intelligence with the best overall performance from King's College London (KCL) , London, UK.

• [Apr. 2023] One paper accepted to IJCAI 2023.
• [Feb. 2023] One paper accepted to ICASSP 2023.
• [Oct. 2022] One paper accepted to Pattern Recognition.
• [Aug. 2022] One paper accepted to ECCV AVVision workshop 2022.
• [July. 2022] One paper accepted to ECCV 2022.
• [Jan. 2022] One paper accepted to ICASSP 2022.
• [Oct. 2021] One paper accepted to BMVC2021.
• [Sep. 2021] One paper accepted to DICTA2021.
• [May. 2021] One paper accepted to ICIP2021.
• [May. 2021] I will purse a Ph.D. study at the lovely University of Warwick in October 2021. Go Bears!
• [Feb. 2021] One paper accepted to journal Cancers (IF 6.6)
• [Dec. 2020] I joined the ARC Research Hub for Driving Farming Productivity and Disease Prevention, Australia and the Integrated and Intelligent Systems, Griffith University, Australia as reseasrch intern supervised by Prof. Yongsheng Gao and Dr. Xiaohan Yu.
• [Sep. 2020] I obtained a silver medal in Kaggle Mechanisms of Action (MoA) Prediction Competition.
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[Sep. 2019] One paper accepted to International Conference on Swarm Intelligence (ICSI) 2019 Oral
[Sep. 2019] One paper accepted to 2019 IEEE Congress on Evolutionary Computation (CEC) 2019 Oral
[Nov. 2018] Two papers accepted to 2018 International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

Cross-modal Prototype Driven Network for Radiology Report Generation
Jun Wang, Abhir Bhalerao, Yulan He
European Conference on Computer Vision (ECCV), 2022
*: equal contribution
| arxiv | code|

PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement
Jun Wang, Hefeng Zhou, Xiaohan Yu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
*: equal contribution
| pdf |

Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
Jun Wang, Xiaohan Yu, Yongsheng Gao
The British Machine Vision Conference (BMVC), 2021
*: equal contribution
| pdf | code |

Mask Guided Attention For Fine-Grained Patchy Image Classification
Jun Wang, Xiaohan Yu, Yongsheng Gao
IEEE International Conference on Image Processing (ICIP), 2021
*: equal contribution
| pdf | code |

EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation
Jun Wang, Xiaohan Yu, Yongsheng Gao
International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2021
*: equal contribution
| arxiv | code |

Boosted efficientnet: detection of lymph node metastases in breast cancer using convolutional neural networks
Jun Wang, Qianying Liu, Haotian Xie, Zhaogang Yang, Hefeng Zhou
Cancers 2021, 13(4), 661
*: equal contribution
| pdf |code |

• [Jan. 2021] Research Internship, Integrated and Intelligent Systems, Griffith University, Supervised by Prof. Yongsheng Gao and Dr.Xiaohan Yu
• [Sep. 2020] Research Internship, King's College London, supervised by Dr.Miaojing Shi
• [May. 2018] Research Internship, Digital Intelligent Management Laboratory, Shenzhen University, Supervised by Prof. Ben Niu

• China Scholarship Council- University of Warwick Scholarship, June. 2021
• Bronze Medal, Hacking the Kidney Competition, Kaggle, May. 2021 (ranked 61/1216)
• Best Overall Performance, King's College London, Nov. 2020
• Silver Medal, Mechanisms of Action (MoA) Prediction Competition, Kaggle, Sep. 2020
• Outstanding Results, KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall (ranked 20/1433), Mar. 2020
• Silver Medal, Deepfake Detection Challenge, Kaggle, Dec. 2019
• JinWen Zhang (章文晋) Scholarship, South China Normal University, 2019
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Outstanding Graduates, South China Normal University, 2019
University Scholarship, South China Normal University, 2019
University Scholarship, South China Normal University, 2018
University Scholarship, South China Normal University, 2017
Third Prize, Group Programming Ladder Tournament at China Collegiate Computing Contest, 2017

Department of Computer Science
University of Warwick
Coventry, CV4 7AL, UK