cv
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.