CV

Education

• Ph.D in Digital Design and Art, Zhejiang University, 2021
• B.S. in Computer Science and Technology, South China University of Technology, 2016

Work experience

• Nov 2021 - present: Senior Research Engineer
  • Huawei, Public Technology Group, ICT Products and Solutions Department
  • Duties include: Technical insight, design and develop machine learning and AI algorithms for AIOps
• Jan - Mar 2020: Research Intern
  • ByteDance AI Lab, Language and Information Technology Group (LITG)
  • Duties included: NLP Research on Large-Scale Knowledge Graph
  • Supervisor: Dr.Li Hang
• Fall 2019: Teaching Assistant
  • Singapore University of Technology and Design
  • Duties included: Engaging discussions
  • Supervisor: Professor Li Xiangdong
• Dec 2018 - Aug 2019: Visiting Fellow
  • Singapore University of Technology and Design
  • Duties included: Design algorithms for Natural Language Processing Problems
  • Supervisor: Professor Lu Wei

Skills

• Programming experience (Python, Matlab, C++, PHP, JAVA, SQL)
• Deep Learning Framework
  • pytorch, torch
  • keras
• Design Thinking

Publications

A framework of artificial intelligence augmented design support.

Jing Liao, Preben Hansen & Chunlei Chai (2020). "A framework of artificial intelligence augmented design support." Human–Computer Interaction. 35(5-6).

A Review of Age-Related Characteristics for Touch-Based Performance and Experience.

Liao J., Lou J., Wu Q., Zou M., Zheng L. (2018). "A Review of Age-Related Characteristics for Touch-Based Performance and Experience." Human Aspects of IT for the Aged Population. Acceptance, Communication and Participation. ITAP 2018. Lecture Notes in Computer Science. pp.279-296.

A One-to-Many Conditional Generative Adversarial Network Framework for Multiple Image-to-Image Translations

Chai, C., Liao, J., Zou, N., & Sun, L. (2018). "A One-to-Many Conditional Generative Adversarial Network Framework for Multiple Image-to-Image Translations." Multimedia Tools & Applications. 77(11).

Effects of Different Base Classifiers to Learn++ Family Algorithms for Concept Drifting and Imbalanced Pattern Classification Problems

J. Liao, J. Zhang and W. W. Y. Ng. (2016). "Effects of Different Base Classifiers to Learn++ Family Algorithms for Concept Drifting and Imbalanced Pattern Classification Problems." 2016 International Conference on Machine Learning and Cybernetics (ICMLC). pp.99-104.

Projects

AI and Design Inspiration

Jing Liao, Qing Chai, Rui Zhao, Chunlei Chai* (June, 2019)

Data-driven Business Intelligence Support

Jing Liao, Zitong Chen, Jiawei Zhou, Hanjia Zheng, Chunlei Chai* (August, 2018)

Design Optimization with Genetic Algorithm (DOGA)

Defu Bao, Jing Liao, Chunlei Chai*, Suihuai Yu* (September, 2017)

Undersampling Method for Pattern Recognition in Non-stationary Environment

Jing Liao, Yuzhe Luo, Yu Jin, Lianghao Xia, Zijing Chen (March, 2016)

Service and leadership

• Alumni of StatNLP Lab in Singapore University of Technology and Design
• Leading “National university independent research project for undergraduate students of scientific research”
• Leading group C in 2017 international campus design workshop