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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 second-year master's student majoring 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.

Research Interests:
⚡ Foundation Model: Vision-Language Understanding, Collaboration of LMs and SMs, Privacy & Security of LLMs.
⚡ Trustworthy FL: Asynchronous Federated Learning, Privacy-preserving Machine Learning, Distributed Optimization, Multi-objective Optimization.
⚡ Optimization: Distributed Optimization, Online Learning, Convex Optimization.
⚡ AI for Healthcare: Medical Image Analysis, Radinology Report Generation, MedVQA.

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

我是计算机科学专业二年级硕士生，目前在 @中科院计算所 就读。在此之前，我在@海南大学获得了软件工程学士学位。

主要研究兴趣：
⚡ 基础模型： 视觉-语言理解、大模型与小模型协作、大模型隐私与安全。
⚡ 可信联邦学习： 异步联邦学习、隐私保护机器学习、分布式优化、多目标优化。
⚡ 优化算法： 分布式优化、在线学习、凸优化。
⚡ 医疗人工智能： 医学图像分析、放射学报告生成、医疗视觉问答。

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

  • [2024/08] Our paper "EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation" is accepted by IEEE BIBM'24 (CCF-B). Congrats to Zhirui!
  • [2024/08] 我们的论文 "EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation" 被 IEEE BIBM'24 (CCF-B) 接收，恭喜志睿！
  • [2024/07] Our paper "Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration" is accepted by ACM CIKM'24 (CCF-B, CORE-A). Thanks to the co-authors!
  • [2024/07] 我们的论文 "Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration" 被 ACM CIKM'24 (CCF-B, CORE-A) 接收，感谢导师和师兄们的帮助！
  • [2024/07] Our paper "Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition" is accepted by ACM MM'24 (CCF-A, CORE-A*). Congrats to Wuliang!
  • [2024/07] 我们的论文 "Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition" 被 ACM MM'24 (CCF-A, CORE-A*) 接收，恭喜武亮师兄！
  • [2024/07] Our paper "PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching" is accepted by TKDE (CCF-A, JCR-Q1, CORE-A*). Congrats to Qian Chen!
  • [2024/07] 我们的论文 "PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching" 被 TKDE (CCF-A, JCR-Q1, CORE-A*) 接收，恭喜陈前师兄！
  • [2024/06] According to the latest Journal Citation Reports 2024, the impact factor of Patterns is 6.7, JCR-Q1!
  • [2024/06] 根据最新的 JCR 分区数据，Patterns 的影响因子为 6.7，JCR-Q1！
  • [2024/06] Our paper "Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs" is accepted by ICPP 2024 (CCF-B). Congrats to Zhiyi!
  • [2024/06] 我们的论文 "Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs" 被 ICPP 2024 (CCF-B) 接收，恭喜智溢！
  • [2024/03] Our paper "Model Trip: Enhancing Privacy and Fairness in Model Fusion across Multi-Federations for Trustworthy Global Healthcare" is accepted by ICDE 2024 (CCF-A). Congrats to Qian Chen!
  • [2024/03] 我们的论文 "Model Trip: Enhancing Privacy and Fairness in Model Fusion across Multi-Federations for Trustworthy Global Healthcare" 被 ICDE 2024 (CCF-A) 接收，恭喜陈前师兄！
  • [2024/02] Our paper "FedEYE: A Scalable and Flexible End-to-end Federated Learning Platform for Ophthalmology" is accepted by Cell Patterns (SJR-Q1, 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 (SJR-Q1, IF=6.5) 接收
  • [2023/10] Our paper "AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation" and "FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare" is 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" 和 "FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare" 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" is 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" is 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

Please check out Google Scholar for my full publication list.

* __ for equal contribution

EyeGraphGPT: Knowledge Graph Enhanced Multimodal Large Language Model for Ophthalmic Report Generation
Zhirui Wang, Xinlong Jiang†, Chenlong Gao, Bingyu Wang, Bingjie Yan, Qian Chen, Wuliang Huang, Teng Zhang, Yiqiang Chen, Chenlong Gao, Teng Zhang.
IEEE International Conference on Bioinformatics and Biomedicine 2024 (IEEE BIBM'24, CCF-B), 2024.
Accepted.
Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration
Bingjie Yan, Qian Chen, Yiqiang Chen†, Xinlong Jiang†, Wuliang Huang, Bingyu Wang, Zhirui Wang, Chenlong Gao, Teng Zhang.
ACM Conference on Information and Knowledge Management 2024 (ACM CIKM'24, CCF-B, CORE-A), 2024.
Accepted.
Correlation-Driven Multi-Modality Graph Decomposition for Cross-Subject Emotion Recognition
Wuliang Huang, Yiqiang Chen†, Xinlong Jiang, Chenlong Gao, Qian Chen, Teng Zhang, Bingjie Yan, Yifan Wang and Jianrong Yang
ACM Multimedia 2024 (ACM MM'24, CCF-A, CORE-A*), 2024.
[PDF] [bib]
PrivFusion: Privacy-Preserving Model Fusion via Decentralized Federated Graph Matching
Qian Chen, Yiqiang Chen†, Xinlong Jiang, Weiwei Dai, Wuliang Huang, Bingjie Yan, Zhen Yan, Lu Wang and Bo Ye.
IEEE Transactions on Knowledge and Data Engineering (TKDE, CCF-A, CORE-A*), 2024.
[PDF] [bib]
Im2col-Winograd: An Efficient and Flexible Fused-Winograd Convolution for NHWC Format on GPUs
Zhiyi Zhang, Pengfei Zhang, Zhuopin Xu, Bingjie Yan, Qi Wang†.
The 53rd International Conference on Parallel Processing (ICPP'24, CCF-B), 2024.
[PDF] [bib]
Model Trip: Enhancing Privacy and Fairness in Model Fusion across Multi-Federations for Trustworthy Global Healthcare
Qian Chen, Yiqiang Chen†, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan and Qiang Yang.
The 40th IEEE International Conference on Data Engineering (ICDE'24, CCF-A), 2024. Oral.
[PDF] [bib]
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application
Chuanpeng Yang, Wang Lu†, Yao Zhu, Yidong Wang, Qian Chen, Chenlong Gao, Bingjie Yan and Yiqiang Chen.
Transactions on Intelligent Systems and Technology (TIST, JCR-Q1, IF=7.2), 2024.
Accepted.
[arXiv]
FedEYE: A Scalable and Flexible End-to-end Federated Learning Platform for Ophthalmology
Bingjie Yan, Danmin Cao, Xinlong Jiang, Yiqiang Chen†, Weiwei Dai†, Fan Dong, Wuliang Huang, Teng Zhang, Chenlong Gao, Qian Chen, Zhen Yan and Zhirui Wang.
Patterns (Cell Press, JCR-Q1, IF=6.7), 2024.
[PDF] [bib] [Code] [Page] [Site]
UbiMeta: A Ubiquitous Operating System Model for Metaverse
Yiqiang Chen†, Wuliang Huang, Xinlong Jiang, Teng Zhang, Yi Wang, Bingjie Yan, Zhirui Wang, Qian Chen, Yunbing Xing, Dong Li and Guodong Long.
International Journal of Crowd Science, 2024.
[PDF] [bib]
AFL-CS: Asynchronous Federated Learning with Cosine Similarity-based Penalty Term and Aggregation
Bingjie Yan, Xinlong Jiang†, Yiqiang Chen†, Chenlong Gao, and Xuequn Liu.
The 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS, CCF-C), 2023. Oral.
[PDF] [bib] [Code]
FedTAM: Decentralized Federated Learning with a Feature Attention Based Multi-teacher Knowledge Distillation for Healthcare
Tingting Mou, Xinlong Jiang†, Jie Li, Bingjie Yan, Qian Chen, Teng Zhang, Wuliang Huang, Chenlong Gao and Yiqiang Chen.
The 29th IEEE International Conference on Parallel and Distributed Systems (IEEE ICPADS, CCF-C), 2023. Oral.
[PDF] [bib]
Experiments of Federated Learning for COVID-19 Chest X-ray Images
Bingjie Yan, Jun Wang, Jieren Cheng†, Yize Zhou, Yixin Zhang, Yifan Yang, Li Liu, Haojiang Zhao, Chunjuan Wang, and Boyi Liu
The 7th International Conference on Artificial Intelligence and Security (ICAIS, EI), 2021.
// Cited over 180 times on Google Scholar.
[PDF] [arXiv] [bib]
FedCM: A Real-time Contribution Measurement Method for Participants in Federated Learning
Bingjie Yan, Boyi Liu†, Lujia Wang, Yize Zhou, Zhixuan Liang, Ming Liu and Cheng-Zhong 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
Bingjie Yan, Jun Wang, Zhen Zhang, Xiangyan Tang†, Yize Zhou, Guopeng Zheng, Qi Zou, Yao Lu, Boyi Liu, Wenxuan Tu and Neal Xiong
In Computers, Materials and Continua 64 (3) (SCI), 2020.
[PDF] [bib]

📚 Experiences

📚 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