Yiping Wang
Currently, I am a Software Engineer at YouTube. I am also a trained researcher in machine learning and computer vision .
Previously, I received a Master of Mathematics in Computer Science from the University of Waterloo (June 5th, 2023), and an Honours Bachelor of Science in Computer Science from the University of Victoria (May 27th, 2021) .
I am working as a Software Engineer at YouTube in San Bruno!
I worked as a Software Engineer at Google Cloud in Kitchener!
Our wedding ceremony took place at Cranberry Creek Gardens!
I worked as a Machine Learning Engineer at Sharethrough in Toronto!
We got married in Toronto!
I worked as a Machine Learning Engineer Intern at Layer 6 AI in Toronto!
I worked as a Student Researcher at Google on Point Cloud classification in Kitchener!
One oral paper was accepted at UAI 2022 Causal Representation Learning Workshop!
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 worked as a Research Intern at Google on Point Cloud classification in Kitchener!
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 started the Master of Mathematics 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 in Victoria!
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 in Montreal!
Our work on Conditional Generation of Medical Images via Disentangled Adversarial Inference was published in Medical Image Analysis!
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 in Vancouver!
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!
I worked as a Research Intern with Dr. Kwang Moo Yi on segmentation of whole-slide pathology images!
I worked as a Software Developer Co-op at Global Reach Canada on the development of currency exchange platform in Victoria!
I worked as a Software Developer Co-op at Kinsol on the development of chatbots in Victoria!
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: 1st Nov 2024