Jifeng Wu
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Strategies, Tactics, and Mindset Learned from "The Ph.D. Grind"

Note: This is a Paper Reading for Philip Guo’s famous book “The Ph.D. Grind: A Ph.D. Student Memoir.” Main Strategies Be careful when choosing advisors and collaborators. Consider the background and
2023-12-31
Reference

Linear Regression, Ridge Regression, Lasso Regression, and Kernel Ridge Regression

Linear Regression Linear regression is a fundamental statistical model used in statistics and supervised machine learning. It establishes a linear relationship between a scalar response and one or mor
2023-12-24
Mathematics

Sarah Chasins' Works on PL and HCI

Co-Designing for Transparency: Lessons from Building a Document Organization Tool in the Criminal Justice DomainInvestigative journalists and public defenders are crucial in scrutinizing and litigatin
2023-11-05
Research Inspiration

Conversation with Prof. Robert Xiao

AbstractThe following is a polished version of a conversation with Prof. Robert Xiao on the confluence of Programming Languages, Software Engineering, and Human-Computer Interaction (HCI) for research
2023-10-23
Research Inspiration

Nico Ritschel's Ph.D. Defense Summary

Nico Ritschel‘s research focuses on refining block-based programming by integrating elements from visual programming to make it more accessible and effective for end-users, especially in the robotics
2023-10-13
Research Inspiration

Conversation with Prof. Margo Seltzer

Introduction to Prof. Margo Seltzer (quoted from Wikipedia)“Margo Ilene Seltzer is a professor and researcher in computer systems. She is currently the Canada 150 Research Chair in Computer Systems an
2023-10-10
Research Inspiration

Pre-MICCAI Workshop@UBC Observations and Gained Insights

From the Pre-MICCAI Workshop@UBC website: The Pre-MICCAI Workshop is a dynamic and innovative platform that unites machine learning and medical computer vision. As a prelude to the prestigious MICCAI
2023-10-08
Research Inspiration

Understanding the Name, Structure, and Loss Function of the Variational Autoencoder

Despite the intuitive appeal of variational autoencoders (VAEs), their underlying principles can be elusive. After extensive research across papers and online resources, I will summarize the core insi
2023-09-30
Mathematics

My Software Engineering Philosophy

If you deprive yourself of outsourcing and your competitors do not, you’re putting yourself out of business.Lee Kuan Yew Do the high-level, high-value requirements, analysis, and design work in an
2023-09-24
Reflections

The Cornell, Maryland, Max Planck Pre-doctoral Research School 2023 Observations and Gained Insights

Panel Session 2: “Research in industry vs. academia”Problem Focus & Recognition Industry tends to focus on concrete problems. In academia, broader issues are often addressed. Authorship and credi
2023-09-08
Research Inspiration
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