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Bingjie YAN

闫 冰洁 (Bingjie YAN)

bj [dot] yan [at] ieee [dot] org

Address: Institute of Computing Technology, Chinese Academy of Sciences,
No.6 Kexueyuan South Road Zhongguancun,
Haidian District, Beijing, China, 100190
Email: bj.yan@ieee.org or bj.yan.pa@qq.com
CV: CV(CN), CV(EN)
GitHub / Google Scholar / Blog / Bilibili / LinkedIn

😉 Biography

I am a postgraduate student in Computer Science @Institute of Computing Technology, Chinese Academy of Sciences, under the supervision of Prof. Yiqiang Chen and Prof. Xinlong Jiang. Before that, I received my B. Eng. degree in Software Engineering from @Hainan University.

Major Research Interests:
AI for Healthcare: Medical Image Analysis, Multi-modal
Trustworthy AI: Asynchronous Federated Learning, Privacy-preserving Machine Learning, Distributed Optimization

Please feel free to send me an email, if you have any questions. I'd like to communicate with you.

I am looking for a Ph.D position in 2025 fall, please contact me if you are interested in me!

😉 个人简介

我本科在海南大学软件工程专业就读,现在是 @中科院计算所 的一名在读硕士生。在此之前,我在@海南大学获得了学士学位。

主要研究兴趣:
AI4医疗: 医学图像分析,多模态
可信 AI: 异步联邦学习,隐私保护机器学习,分布式优化

如果您有任何问题可以直接发邮件给我,欢迎与我联系,我非常乐意和你交流。

I am looking for a Ph.D position in 2025 Fall, please contact me if you are interested in me!

🎓 Education

[2022/09 - 2025/06] M. Eng. in Computer Science, @Institute of Computing Technology, Chinese Academy of Sciences

[2018/09 - 2022/06] B. Eng. in Software Engineering, @Hainan University

🎓 教育经历

[2022/09 - 2025/06] @中国科学院计算技术研究所,计算机科学与技术学院,计算机科学,工学硕士

[2018/09 - 2022/06] @海南大学,计算机科学与技术学院,软件工程,工学学士

🔥 Recent News

🔥 最近动态

  • [2024/02] Our paper "FedEYE: A Scalable and Flexible End-to-end Federated Learning Platform for Ophthalmology" was accepted by Cell Patterns (SCI, JCR-Q2, IF=6.5).
  • [2024/02] 我们的论文 "FedEYE: A Scalable and Flexible End-to-end Federated Learning Platform for Ophthalmology" 被 Cell Patterns (SCI, JCR-Q2, IF=6.5) 接收
  • [2023/10] Our paper "AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation" was accepted by IEEE ICPADS 2023 (CCF-C).
  • [2023/10] 我们的论文 "AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation" 被 IEEE ICPADS 2023 (CCF-C) 接收
  • [2022/06] I graduated from @Hainan University and will go to the @Institute of Computing Technology, Chinese Academy of Sciences for my master's degree.
  • [2022/06] 我从 @海南大学 毕业,将前往 @中国科学院计算技术研究所 攻读我的硕士学位,雁栖湖见!
  • [2021/04] Our paper "FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning" was accepted by IJCNN 2021 (CCF-C).
  • [2021/04] 我们的论文 "FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning" 被 IJCNN 2021 (CCF-C) 接收
  • [2020/11] Our paper "Experiments of Federated Learning for COVID-19 Chest X-ray Images" was accepted by ICAIS 2021.
  • [2020/11] 我们的论文 "Experiments of Federated Learning for COVID-19 Chest X-ray Images" 被 ICAIS 2021 接收

📝 Publications

📝 出版物

* __ for equal contribution

FedEYE: A Scalable and Flexible End-to-end Federated Learning Platform for Ophthalmology
B. Yan, D. Cao, X. Jiang, Y. Chen, W. Dai, et al.
Cell Patterns (SCI, JCR-Q2, IF=6.5), 2024.
[PDF] [bib] [code] [site]
AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation
B. Yan, X. Jiang, Y. Chen, C. Gao, and X. Liu
The 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS, CCF-C), 2023. Oral.
To be appear.
Experiments of Federated Learning for COVID-19 Chest X-ray Images
B. Yan, J. Wang, J. Cheng, Y. Zhou, Y. Zhang, Y. Yang, L. Li, H. Zhao, C. Wang and B. Liu
The 7th International Conference on Artificial Intelligence and Security (ICAIS, EI), 2021.
// over 150 citations in Google Scholar.
[PDF] [arXiv] [bib]
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
B. Yan, B. Liu, L. Wang, Y. Zhou, Z. Liang, M. Liu and C. Xu
The International Joint Conference on Neural Networks (IJCNN, CCF-C), 2021. Oral.
[PDF] [arXiv] [bib] [code]
An Improved Method for the Fitting and Prediction of the Number of COVID-19 Confirmed Cases Based on LSTM
B. Yan, J. Wang, Z. Zhen, X. Tang, Y. Zhou, G. Zheng, Q. Zou, Y. Lu, B. Liu, W. Tu and N. Xiong
In Computers, Materials and Continua 64 (3) (SCI, JCR-Q2), 2020.
[PDF] [bib]

📚 Experience

📚 实习经历

Please see my CV for more details.

🛠 Projects and Open Source Contributions

🛠 项目经历和开源贡献

Only some representative projects will be shown here, please see project homepage or my CV for more details.

🏆 Awards & Honors

🏆 奖项 & 荣誉

Please see my CV for more details.

👔 Services

👔 任职经历

President of IEEE Hainan University Branch.

IEEE 海南大学学生分会主席

Co-Founder of Association of Robotics and Artificial Intelligence

Vice president of Cyberspace Security Association in @Hainan University.

@海南大学 机器人与人工智能协会联合发起人,网络空间安全协会副会长