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photo of Professor Hong Zhang
Monday, April 24, 2023

Meet Hong Zhang, a professor who develops high-performance, scalable systems for big data and machine learning applications

Hong Zhang joined the Cheriton School of Computer Science as an Assistant Professor in 2023. He develops high-performance, scalable systems for big data and machine learning applications. His research advocates an application-oriented design principle for big data and machine learning systems that fully exploit application-specific structures such as communication patterns, execution dependencies, and machine learning model structures to suit application-specific performance demands. 

Thursday, April 27, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Research Paper Presentation • Artificial Intelligence • Literature Review of Question Answering

Please note: This master’s research paper presentation will take place online.

Michael Karras, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Olga Veksler

LLMs are currently dominating the scene in AI research. In our literature review, we aim to analyze the subfield of question answering in the domains of both natural language and coding through LLMs. We will discuss the underlying RL algorithm, datasets and current advances in this space.

Tuesday, May 2, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • Presenting Multiagent Challenges in Team Sports Analytics and Ice Hockey Passing and Pressure Metrics

Please note: This PhD seminar will take place in DC 3317 and virtually over Zoom.

David Radke, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Tim Brecht

photo of Professor Edith Law
Thursday, April 20, 2023

Edith Law and her colleagues form Inria Associate Team to develop personalized curious tech to support lifelong learning

Principal investigators Professor Edith Law at the Cheriton School of Computer Science and Professor Hélène Sauzéon at Université de Bordeaux have been funded to create an Associate Team at Inria, France’s National Institute for Research in Digital Science and Technology. Inria’s Associate Team program supports bilateral scientific collaborations and promotes and strengthens the institute’s strategic partnerships with leading researchers abroad.

Thursday, May 4, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence | Computer Vision • Collision Cross-Entropy for Discriminative Deep Clustering

Please note: This PhD seminar will take place in DC 3317.

Zhongwen Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yuri Boykov

Monday, May 15, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence • User-specific Explanations of AI Systems Attuned to Psychological Profiles: A User Study

Please note: This master’s thesis presentation will be given online.

Owen Chambers, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Robin Cohen, Maura R. Grossman

Thursday, April 20, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

Seminar • Machine Learning • Backpropagation Beyond the Gradient

Please note: This seminar will take place in DC 2585.

Felix Dangel, Postdoctoral Researcher
Vector Institute for Artificial Intelligence

Popular deep learning frameworks prioritize computing the average mini-batch gradient. Yet, other quantities such as its variance or many approximations to the Hessian can be computed efficiently, and at the same time as the gradient mean. They are of great interest to researchers and practitioners, but implementing them is often burdensome or inefficient.