About me
Hi, I'm Jianing. Currently I'm a full-time Machine Learning Scientist at Layer6 AI, Toronto, Canada. I completed my Master's degree in Engineering from Department of Electrical & Computer Engineering, McGill University, in 2019.
At Layer6 AI, I am working on building machine learning models for banking use-cases. I also research and implement deep learning models for recommender systems.
I grew up in a small coastal city in Northeast China. I have two 4-legged sisters living with my parents there.
Experience
Education
Timeline
Won the 3rd place in ACM RecSys Challenge 2021 organized by Twitter.
Moved to Toronto, Ontario.
One paper accepted by ACM SIGKDD! See you San Diego online.
Jianing Sun, et. al. A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks , accepted by The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM SIGKDD 2020, Research Track, acceptance rate: 216/1279 = 16.9%), San Diego, USA, Aug. 2020. [Coming soon]
One full paper accepted by ACM SIGIR! See you Xi'an online.
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates. Neighbor Interaction Aware Graph Convolution Networks for Recommendation, accepted by The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2020, acceptance rate: 147/555 = 26%), Xi'an, China, Jul. 2020. [Coming soon]
My master's project got featured on TechXplore! Check the interview here!
One paper accepted by IEEE ICDM! See you Beijing.
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He. Multi-Graph Convolution Collaborative Filtering, accepted by IEEE International Conference on Data Mining (IEEE ICDM 2019, acceptance rate: 194/1046 = 18.5%), Beijing, China, Nov. 2019. [Paper] [Slides]
I made the final thesis submission for my Master degree. Adios McGill. [Thesis]
I start a new journey as a machine learning research engineer at the Graph Deep Learning team of Huawei Noah's Ark Lab, Montréal, working with graphs.
Two papers accepted in The 16th IAPR International Conference on Machine Vision Applications! See you Tokyo.
Jianing Sun, Katarzyna Radecka, Zeljko Zilic, Exploring Better Food Detection via Transfer Learning, accepted by The 16th International Conference on Machine Vision Applications (MVA 2019, acceptance ratio: 47.5%). Shinjuku, Tokyo, Japan, May 2019. [Paper] [Code]
Jianing Sun, Katarzyna Radecka, Zeljko Zilic, FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks, accepted by The 16th International Conference on Machine Vision Applications (MVA 2019, acceptance ratio: 47.5%). Shinjuku, Tokyo, Japan, May 2019. [Paper]
Started graduate studies at Department of Electrical and Computer Engineering, McGill University, Montreal, Canada.
Last updated: June 03, 2021. Design modified from here and here.