About me

I’m a third year undergraduate student from Beijing Institute of Technology. My previous research directions includes Machine Learning(ML), Federated Learning(FL), Differential Privacy(DP), Computer Vision(CV) and Healthcare. Previously I was advised by Prof. Kun Qian from Brain Health Engineering Club,Beijing Institute of Technology. And I was an intern advised by Prof.Hao Zhao of DISCOVER Lab from AIR, Tsinghua University.

You can find my CV with more details here: Yongzi Curriculum Vitae.

Publications


Jounal

Wanyong Qiu, Chen Quan, Lixian Zhu, Yongzi Yu, Zhihua Wang, Yu Ma, Mengkai Sun, Yi Chang, Kun Qian, Bin Hu, Yoshiharu Yamamoto and Bjeorn W.Schuller “Heart Sound Abnormality Detection from Multi-institutional Collaboration: Introducing a Federated Learning Framework”, IEEE Transactions on Information Forensics and Security, under review, pp. 1-11, April 2023.(IF=7.231)

Yifan Feng, Cheng Chen, Shuxian Liu, Bingyu Dong, Yongzi Yu, Chen Chen, Xiaoyi Lv, “A novel technology of structural distance feature of Raman spectra and convolutional neural network for alcohol dependence diagnosis”, Microchemical Journal, 189, 108485. (IF=5.304)

Conference

Yongzi Yu, Wanyong Qiu, Chen Quan, Kun Qian, Zhihua Wang, Yu Ma, Bin Hu, Björn W. Schuller, and Yoshiharu Yamamoto, “Federated Intelligent Terminals Facilitate Stuttering Monitoring”,in Proceedings of ICASSP, pp. 1-5, Rhodes Island, Greek, June 2023. (CCF-B, oral)

Zhongxiang Lei, Yongzi Yu, Chongyang Shi, Yuanchi Ma, Jinyan Liu, “Data-Free Federated Transformers Distillation via Diversity Randomly Sample”, in Proceedings of NeurIPS, under review, pp. 1-12, New Orleans, Dec 2023. (CCF-A)

Yu Ma, Yuting Huang, Kaixiang Yuan, Guangzhe Xuan, Yongzi Yu, Hengrui Zhong, Rui Li, Jian Shen, Kun Qian, Bin Hu, Bj¨orn W. Schuller and Yoshiharu Yama, “Explainable Stuttering Recognition using Axial Attention”, in Proceedings of ICIC 2023, under review, pp. 1-11, Zhengzhou, China, August 2023. (CCF-C)

Education


  • Beijing Institute of Technology
    Major:Data Science and Big Data Technology, School of Computer
    September 2020 to June 2024(Expected)
    GPA: 3.6/4.0

Awards


2021 Gold Medal, International Genetically Engineered Machine (iGEM) competition

2021 Silver Medal, National College English Translation Competition

2022 Third Prize, The 38th Beijing Municipal and Regional National College Physics Competition

2022 Silver Medal, The 19th Century Cup Final of Beijing Institute of Technology

2022 Silver Medal, The 17th “Challenge Cup”

2020 Second Prize, Academic Excellence Scholarship

2021 Third Prize, Academic Excellence Scholarship

2022 Third Prize, Academic Excellence Scholarship

Email / Github / Wechat

Friends

Tianyi Bai | Runyi Yang