guangweiyu [at] cs [dot] toronto [dot] edu
I am a senior machine learning scientist at Layer 6 where I lead teams in computer vision and machine learning applications for TD Bank. I obtained my Bachelor's and Master's degrees from University of Toronto. My current interests are video and image understanding, information retrieval, and medical image applications.
I enjoy machine learning challenges. Here are some highlights:
- 1st place: The 3rd YouTube-8M Video Understanding Challenge. I led a team that won first place in the temporal localization challenge on the largest video data at the time, presented at ICCV2019 in Seoul, Korea. [site][pdf]
- 4th place: RSNA Pneumonia Detection Challenge 2018. My team collaborated with medical image startup 16bit and competed against 1500 other teams from around the world; our results are presented at RSNA2018 in Chicago, IL. [site][pdf]
- 2nd place: Google Landmark Retrieval Challenge 2018. This challenge presented the largest publicly available dataset for image retrieval at the time. Our novel graph traversal approach is presented at CVPR2018 workshop with subsequent paper presented at CVPR2019 as a conference paper.[site][workshop poster][pdf]
- 1st place: 2017 ACM RecSys Challenge. Large scale job recommendation challenge. Our solution was tested online against real users for five weeks and won more than 10% over the second place team.[site][pdf]