Education

• Ph.D in Computer Science, Delft University of Technology, 2023.
• M.S. in Information and Communication Engineering, Tianjin University, 2017
• B.E. in Information and Communication Engineering, Zhejiang University, 2014

Work experience

• Jan 2022 - Present: Senior Data Scientist/Product Owner/Computer Vision Data Science Team Lead.
  • adidas, Amsterdam, the Netherlands
  • Product visual feature (embedding) extracted based on self-supervised learning for over 800k adidas products. Feature performance improved by 9% in downstream tasks;
  • GenAI topics on image style transfer: generate product images based on available design sketches. 60k+ images from future season items are generated based on GAN;
  • PoC on stable diffusion-based text-to-image generation;
  • Implemented the first cross-sell recommendation engine for adidas;
  • Now working on container offloading optimization, part of the inbound logistics in supply chain optimization.
• March 2017 - July 2017: R&D intern in computational advertising
  • SenseTime Group, Beijing, China
  • Literature analysis in recommender systems
  • Experiments in Matrix Factorization and Factorization Machines
• June 2016 - December 2016: Student Research Intern
  • National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • Duties included: Medical data mining, medical electronic records analysis, similarity-based recommender systems
  • Supervisors: Prof. Guan Luo, Prof. Weiming Hu
• March 2016 - September 2016: R&D intern
  • Toshiba Medical Systems (China), now Canon Medical Systems (China), Beijing, China
  • Object detection and location in medical images

Teaching experience

• Video captioning based on GANs. Fenglu Xu, TU Delft Master thesis. September 2018 - June 2019. Co-supervise with Dr. Julián Urbano.
• RNN based recommender systems. Kaan Yilmaz, Jelle Vos, Tim Rietveld, TU Delft Bachelor course “Bachelor Seminar”. February 2018 - April 2018. Co-supervise with Dr. Julián Urbano.

Skills

• Programming Languages: Python, MATLAB, LATEX, Verilog HDL, C.
• Research: Recommender systems, machine learning, deep learning, image processing, computer-aided diagnosis, pattern recognition, data mining, medical informatics, Tensorflow, PyTorch.
• Industry: Natural Language Processing, Computer Vision, PySpark, DataBricks, AWS SageMaker.

Professional Service

• Student voluteer: RecSys’18, Vancouver, BC, Canada
• Reviewer: SIGIR, CIKM, ICTIR, TheWebConf, IEEE Systems Journal, Neurocomputing
• Translator and translation reviewer for the Chinese version “Recommender Systems Handbook (2nd Edition)” (Ch. 22).
• Subtitle translator: Coursera

Awards

• Travel grant, RecSys’18, WSDM’21, SIGIR’21
• Outstanding graduates (cum laude), Tianjin University, 2017
• First scholarship for outstanding Students, Tianjin University, 2016
• Outstanding thesis for undergraduates, Zhejiang University, 2014