Jiacheng Wang / 汪家诚
PhD Student at Xiamen University
jiachengw@stu.xmu.edu.cn

Jiacheng Wang

I am currently a PhD student at the Department of Computer Science at School of Informatics, Xiamen University, supervised by Professor Liansheng Wang. Before that, I received my Bachelor’s degree at the Department of Computer Science at School of Informatics, Xiamen University in July 2018.


My research interests are in Medical Imaging Processing, including Object Segmentation and Surgery Analysis. I recently work on data-efficient learning such as federated learning and contrastive learning and transformer-based segmentation tasks.


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News
  • 2023.01   Pure tranformers for ambiguous segmentation is accepted to TMI! Code is here.
  • 2022.12   Happy to gain the 2022 National Scholarship for doctoral students.
  • 2022.11   One paper about Covid-19 Semi-supervised Segmentation is accepted to T-CYB! Code is here.
  • 2022.07   One paper about personalized federated learning for medical image segmentation is accepted to ECCV'22! Code is here.
  • 2022.03   The first place of Polyp Segmentation in EndoCV'22, held in ISBI'22!
  • 2021.11   Separate Contrastive Learning accepted to AAAI 2022 with oral presentation and the student scholarship award. Code is available here.
  • 2021.10   ESD landmark detection network accepted to Medical Image Analysis 2021! Code is available here.
  • 2021.10   The first place of AdaptOR Challenge, held in MICCAI'21, for landmark detection in Mitral Regurgitation cross domains!
  • 2021.05   Two papers accepted to MICCAI'21!
  • 2019.10   The first place of ROBUST-MIS 2019, held in MICCAI'19, for instrument segmentation in endoscopic videos!

Publications ( Google Scholar)

Jiacheng Wang, Fei Chen, Yuxi Ma, Liansheng Wang, Zhaodong Fei, Jianwei Shuai, Xiangdong Tang, Qichao Zhou, Jing Qin
XBound-Former: Toward Cross-scale Boundary Modeling in Transformers
Transactions on Medical Imaging (TMI), 2022
Liansheng Wang, Jiacheng Wang, Lei Zhu, Huazhu Fu, Ping Li, Gary Cheng, Zhipeng Feng, Shuo Li, Pheng-Ann Heng
Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19
Transactions on Cybernetics (T-CYB), 2022
Jiacheng Wang, Yueming Jin, Liansheng Wang
Personalizing Federated Medical Image Segmentation via Local Calibration
European Conference on Computer Vision (ECCV), 2022
Jiacheng Wang, Xiaomeng Li, Yiming Han, Jing Qin, Liansheng Wang, Qichao Zhou
Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
Association for the Advancement of Artificial Intelligence (AAAI), 2022, Oral, Student Scholarship
Jiacheng Wang, Yueming Jin, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang
Real-time landmark detection for precise endoscopic submucosal dissection via shape-aware relation network
Medical Image Analysis (MedIA), 2021
Jiacheng Wang, Lan Wei, Shuntian Cai, Hongzhi Xu, Pheng-Ann Heng, Jing Qin, Liansheng Wang
Boundary-aware Transformers for Skin Lesion Segmentation
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
Jiacheng Wang, Yueming Jin, Liansheng Wang, Shuntian Cai, Pheng-Ann Heng, Jing Qin
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021

Prizes

Jiacheng Wang, Yuxi Ma, Ruochen Mu, Liansheng Wang
1-st place of Polyp Segmentation in EndoCV 2022 challenge
IEEE International Symposium on Biomedical Imaging (ISBI), 2022
Jiacheng Wang, Haojie Wang, Ruochen Mu, Liansheng Wang
1-st place of AdaptOR 2021 challenge
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
Jiacheng Wang, Yujie Zhang, Yueming Jin, Lei Zhu, Liansheng Wang, Pheng-Ann Heng
1-st place of Robust-MIS 2021 challenge
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019

Education

Professional Services

  • Conference Services
    *Conference Review:
    Association for the Advancement of Artificial Intelligence (AAAI) 2023
  • Journal Services
    *Journal Review:
    IEEE Transactions on Instrumentation and Measurement
    IEEE Transactions on Neural Networks and Learning Systems

Experience

  • 2022 National Scholarship for Doctoral Students