• GitHub
• Google Scholar
• Email
  • lixudong39@jd.com
  • lixudong16@mails.ucas.edu.cn

Education

• PhD in Computer Applications Technology. 2016 – 2021
  National Space Science Center, CAS

• B.S in Automation, 2012 – 2016
  Harbin Engineering University

Research Interests

• Transfer learning
• AutoML
• Computer Vision
• AIGC

About Me

I am currently a member of DMT (Doctor Management Trainee) program in JD.com, Inc. I received my Ph.D. degree in Nation Space Science Center, CAS and University of Chinese Academy of Sciences. I received my B.S. in School of Intelligent Science and Engineering, Harbin Engineering University.

I was born in Handan city, Hebei Province, China in 1993. I love reading and I think reading can bring peace of mind. My goal in life is to understand the world as widely as possible and to contribute to it as much as possible. I’m an introvert and may be struggle to socialize. But introverts have a richer inner world and are better able to understand each other. I really want to be a painter or designer (I think I have a gift for it), but I probably have little time to develop those skills.

Publications

• One-Shot Neural Architecture Search for Fault Diagnosis Using Vibration Signals
  Xudong Li, Jianhua Zheng, Mingtao Li, Wenzhen Ma, Yang Hu
  Expert Systems With Applications, 2021 – Elsevier

• Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis
  Xudong Li, Mingtao Li, Jianhua Zheng, Wenzhen Ma, Yang Hu
  Sensors, 2021 – mdpi.com

• Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis
  Xudong Li, Yang Hu, Mingtao Li, Jianhua Zheng, Wenzhen Ma
  Neurocomputing, 2021 – Elsevier

• Neural architecture search for fault diagnosis
  Xudong Li, Yang Hu, Jianhua Zheng, Mingtao Li
  arXiv preprint arXiv:2002.07997

• Mixpath: A unified approach for one-shot neural architecture search
  Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang, Jixiang Li
  arXiv preprint arXiv:2001.05887

• SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
  Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
  IEEE International Conference on Computer Vision 2021, Workshop

• Fault diagnostics between different type of components: A transfer learning approach
  Xudong Li, Yang Hu, Mingtao Li, Jianhua Zheng
  Applied Soft Computing 86, 105950

• Deep Transfer Learning and its Difficulty Measurement for Fault Diagnosis in Changing Working Conditions
  Xudong Li, Yang Hu, Mingtao Li, Jianhua Zheng, Wenzhen Ma
  PHM Asia Pacific 2019

• Deep diagnostics and prognostics: An integrated hierarchical learning framework in PHM applications
  Yanhui Lin, Xudong Li, Yang Hu
  Applied Soft Computing 72, 555-564

• Issues and tips: a set of integrated experiments of applying auto-encoder and convolutional neural network in feature extraction and fault diagnosis
  Xudong Li, Mingtao Li, Jianhua Zheng, Yang Hu
  2018 Prognostics and System Health Management Conference (PHM-Chongqing)

Others

Working Experiences

• 2021.08 ~ present: JD.com, inc, DMT
• 2019.12 ~ 2020.06: Xiaomi AI Lab, Software engineer, Intern

Service

• Reviewer of IEEE Transactions on Instrumentation and Measurement (TIM)
• Reviewer of Mechanical Systems and Signal Processing (MSSP)
• A member of Hugging Face Chinese Translation team

Some Awards

• 2021: President Award of Chinese Academy of Sciences
• 2019: CCF Big Data and Computational Intelligence Competition: Prediction of quality coincidence rate of typical workpiece in discrete manufacturing process, ranking 28/2265 (top 1.5%).
• 2015: Tne Siemens Cup National College Students Industrial Automation Challenge, National First Prize
• 2014: Mathematical Modeling League of three Northeastern Provinces, The First Prize