Talks & Teachings
invited talks and classes
Talks
Multi-FR: A Multi-Objective Optimization Method for Achieving Two-sided Fairness in E-commerce Recommendation
Joint Multisided Exposure Fairness for Search and Recommendation
Teachings
Head Teaching Assistant, McGill University - Applications of Machine Learning in Real World Systems
Spring 2021: Graduate Student Instructor
This is a graduate-level course for students who are interested in learning how to apply machine learning algorithms to solve real-world problems. We will start with a quick review of machine learning basics and then focus on a few selected interesting topics including communication networks, web search and recommendation, LLMs, generative models, smart grid, and medical applications. We will also discuss some high-impact industry machine learning products and the research problems behind their successes. The class consists of lectures, student-led presentations, class discussions, and class projects. The course is taught by Prof. Xue (Steve) Liu.