Yiping Wang
Currently, I am a Master of Mathematics student in the Cheriton School of Computer Science at the University of Waterloo. I am also a Vector Scholarship in Artificial Intelligence recipient 2021-22, a ThinkSwiss Research Scholarship recipient 2022 and an Ontario Graduate Scholarship recipient 2022-23. Previously, I received an Honours Bachelor of Science with Distinction from the Department of Computer Science at the University of Victoria. I was also the Class of 2021 W.E. Cowie Innovation Award recipient and a Jamie Cassels Undergraduate Research Award recipient 2020-21.
I have been accepted into the CIFAR Deep Learning & Reinforcement Learning Summer School 2022!
Each year, the CIFAR Deep Learning + Reinforcement Learning (DLRL) Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning.
I won the Ontario Graduate Scholarship 2022-23!
The Ontario Graduate Scholarship (OGS) and the Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST) programs encourage excellence in graduate studies at publicly-assisted universities in Ontario. Both programs are jointly funded by the Ontario government and participating institutions.
Thank you, the Government of Ontario and the University of Waterloo!
I am working as a Research Intern at Google Kitchener on Transformer for image classification and object detection!
I won the ThinkSwiss Research Scholarship 2022!
The aim of the program is to promote research opportunities in Switzerland for American and Canadian students and to foster exchange between Swiss, U.S., and Canadian universities and research institutions.
Thank you, Embassy of Switzerland!
I have officially became a Permanent Resident of Canada!
I started the Master of Mathematics thesis option program in the Cheriton School of Computer Science at the University of Waterloo!
I won three awards!
Thank you, UWaterloo!
I won the W.E. Cowie Innovation Award!
One award is given to a graduating undergraduate student in the Faculty of Engineering, who demonstrate exceptional innovative ability via their graduating project. The W.E. Cowie Innovation Award was established in 2006 by Alexandra Cowie in memory of her husband, engineer Wilbur Elliott Cowie.
Thank you, Alexandra Cowie!
Two papers were accepted at MICCAI 2021 Deep Generative Models Workshop!
I gave a talk on Magnetic Resonance Images and Generative Adversarial Networks at McMedHacks organized by McGill University!
One paper was accepted at ICML 2021 Unsupervised Reinforcement Learning Workshop!
I officially graduated from the University of Victoria!
It has been a wild ride! The tassel was a bit of a hassle, but I wouldn't have it any other way.
I have been selected as a Vector Scholarship in Artificial Intelligence Recipient 2021-22!
The Vector Scholarship in Artificial Intelligence supports the recruitment of top students to AI-related master’s programs in Ontario.
Thank you, Vector Institute!
I worked as a Software Developer Intern at Global Reach Group on the development of currency exchange platform!
I worked as a Research Assistant with Dr. Brandon Haworth on generalization in multi-agent reinforcement learning!
I won the Jamie Cassels Undergraduate Research Award 2020-21!
The goal of this award is to encourage undergraduates to pursue innovative and original research to enhance their learning while at the University of Victoria and to provide a valuable preparatory experience towards graduate studies or a research related career.
Thank you, UVic!
build Learn by Review: Environment Generalization in Multi-agent Reinforcement Learning
calendar_today Sept. 2020 - Apr. 2021
location_city Victoria, British Columbia, Canada
I worked as a Research Intern with Dr. Mohammad Havaei on generative models for 3D CT-scans!
Our work on Conditional Generation of Medical Images via Disentangled Adversarial Inference was published in Medical Image Analysis!
buildGenerative models for 3D CT-scans
buildConditional Generation of Medical Images via Disentangled Adversarial Inference
calendar_today Sept. 2020 - Dec. 2020 (part-time)
calendar_today May 2020 - Aug. 2020 (full-time)
location_city Montreal, Quebec, Canada
One short paper was accepted at MIDL 2020!
I worked as a Research Co-op with Dr. Ali Bashashati on classification of whole-slide pathology images!
Our work on Synthesis of diagnostic quality cancer pathology images by generative adversarial networks was published in The Journal of Pathology!
This position was partially stipended by the Strategic Framework Experiential Learning Fund from the University of Victoria. Thank you, UVic!
buildClassification of epithelial ovarian carcinoma whole-slide pathology images.
build Synthesis of diagnostic quality cancer pathology images.
calendar_today Sept. 2019 - Apr. 2020
location_city Vancouver, British Columbia, Canada
I worked as a Research Intern with Dr. Kwang Moo Yi on segmentation of whole-slide pathology images!
build Tumour segmentation for the liver hepatocellular carcinoma whole-slide pathology images.
calendar_today May 2019 - Aug. 2019
location_city Victoria, British Columbia, Canada
I worked as a Software Developer Co-op at Global Reach Canada on the development of currency exchange platform!
buildDevelopment of an online foreign exchange trading and payment platform using Angularand C# ASP.NET Core framework.
calendar_today Sept. 2018 - Dec. 2018
location_city Victoria, British Columbia, Canada
I worked as a Software Developer Co-op at Kinsol on the development of chatbots!
buildDevelopment of responsive chatbot applications using Python Flask framework, JavaScript ES6, jQuery, and Bootstrap.
calendar_today May 2018 - Aug. 2018
location_city Victoria, British Columbia, Canada
I started the Honours Bachelor of Science program in the Department of Computer Science at the University of Victoria!
- © Yiping Wang
- Acknowledgement: This page is hosted on the GitHub Pages and the page style is based on Materialize
- Date modified: 20th May 2022
