About Me

I'm currently a first-year PhD student at CMU ECE. I'm interested in robustness and AI security.

Previously I'm a master student at Institute of Automation, Chinese Academy of Sciences, working with Prof. Liang Wang and Prof. Yan Huang.
Before this, I recieved my bachelor's degree from University of Chinese Academy of Sciences (UCAS). I also had a good time at the EECS, University of California, Berkeley.

If you are also fancinated in robustness / privacy attack / defense and are open to collaboration, just email me at wyu3@andrew.cmu.edu!

Publication

Bag of Tricks for Training Data Extraction from Language Models.
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan.
International Conference on Machine Learning (ICML), 2023.

[paper] [project]

Generalized Inter-class Loss for Gait Recognition.
Weichen Yu, Hongyuan Yu, Yan Huang, Liang Wang.
ACM Multimedia (MM), 2022 (Poster).

[paper] [project]

CNTN: Cyclic Noise-Tolerant Network.
Weichen Yu, Hongyuan Yu, Yan Huang, Chunshui Cao, Liang Wang.
(under review)

[paper]

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting.
Hongyuan Yu*, Ting Li *, Weichen Yu*, Jianguo Li, Yan Huang, Liang Wang, Alex Liu.
International Joint Conference on Artificial Intelligence (IJCAI), 2022. (Oral)

[paper] [project]

Deconfounded Noisy Labels Learning.
Weichen Yu, Hongyuan Yu, Yan Huang, Jianghao Zhang, Qiang Liu, Liang Wang.
(under review)

Competition

1st Learning and Mining with Noisy Labels Challenge, IJCAI-ECAI 2022.
runner-up of task 1-1 and 2nd runner-up of task 1-2. [details]
Weichen Yu, Hongyuan Yu, Yan Huang, Dong An, Keji He, Zhipeng Zhang, Xiuchuan Li, Liang Wang

REVERIE Challenge 2022.
runner-up of channel 2. [details]
Dong An, Yifeng Su, Shuanglin Sima, Hongyuan Yu, Weichen Yu, Yan Huang

Training Data Extraction Challenge
runner-up. Invited to give a talk in SaTML. [details]
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan.

Undergraduate Research

  • SiC MOSFET in electromobile controlling
    • Advisor: Puqi Ning
    Genetic Algorithm Based SiC MOSFET On-state Resistance Modeling Method.
    Han C, Weichen Y, Xiaoguang C, Puqi N, Xuhui W.
    Journal of Power Supply, 2020, 18(04): 38-44. DOI:10.13234/j.issn.2095-2805.2020.4.38
    [paper]
  • Power supply noise analysis using autocorrelation
    • Advisor: Seth R. Sanders
    - developed better algorithms which combined autocorrelation with averaging on Simulink to analyze power supply noise and achieve high resolution (1 mV) at high frequency (30GHz).
    - Significantly reduced the cost from 500$ to 20$ and improved the performance and resolution by accumulating small steps of advancement such as the step of float-point to fixed-point optimization.

Education

2020/09 - 2023/07 : Master student in CS, Institute of Automation, Chinese Academy of Sciences.

2016/09 - 2020/07 : Bachelor in EE, University of Chinese Academy of Sciences.

2019/01 - 2019/08 : Visiting student in EECS, University of California, Berkeley.