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General Information

Full Name Jing Wang
Location United States of America
Languages English, Mandarin

Education

  • 2015
    Ph.D. in Computer Science
    Hefei University of Technology (China), National University of Singapore
    • Compressed sensing
    • Social recommendations
    • Online feature selection with sparse linear regression
    • Region-convolutional neural networks based on Caffe
    • Face recognition, object detection, and image classification
  • 2012
    Master and Bachelor in Computer Science
    Hefei University of Technology, China
    • Content-based news recommendation
    • A web-based ecommerce platform with mashup
    • A WordNet-based natural language processing
    • Rules selection for 2D and 3D robotics competition

Experience

  • 04.2021 - now
    Applied Scientist
    Forecasting, Amazon, NYC
    • Make plan for production deployment
    • Formulate and solve out-of-stock problem with bandits
    • Design and Developement of an end-to-end forecasting system
  • 09.2019 - 04.2021
    Applied Scientist
    AWS AI Labs, Amazon Web Services, NYC
    • Conduct analysis of customer feedback
    • Lead and conduct the project of active learning
    • Build NLP based search service with Siamese networks
    • Collaborate with the internal and external scientists
    • Design of a personalized recommendation system with contexts
  • 04.2019 - 09.2019
    Postdoctoral Fellow
    Mount Sinai, NYC
    • Lead and conduct scientific research projects
    • Present the analysis of research in manuscripts and presentations
  • 04.2018 - 04.2019
    Postdoctoral Associate
    Dalio Institute of Cardiovascular Imaging, Cornell University, NYC
    • Record and maintain medical data for projects
    • Design of a system with deep learning based algorithms
    • Make plan for projects, prepare for grants and publications
  • 08.2015 - 04.2018
    Visiting Scholar
    Department of Statistics, Rutgers University, Pistacaway, NJ
    • Setup the environment for deep learning research
    • Present the analysis of research in manuscripts and presentations

Services

  • 2022
    • reviewer of AISTATS, ICML, ICLR, ICML
  • 2021
    • reviewer of NeurIPS, ICML, IJCAI, ICLR
  • before 2020
    • reviewer of ICML, NeurIPS 2019, NeurIPS 2018, AAAI 2018, TPAMI, TKDE, TNNLS

Academic Interests

  • Computational learning theory
    • Online machine learning
    • Probably approximately correct learning
  • Robust and adaptable optimization
    • Robust sequential decision making
    • Approximate nearest neighbor search
  • Reinforcement learning
    • Contextual bandits
    • Linear bandits
  • Deep learning
    • Object detection
    • Question answering

Other Interests

  • Hobbies: Table tennis, Photography.