Categories
- ♠️ Math - Mathematical insights and theory
- 📢 Updates - Research progress and announcements
- 🌏 Locations - Travel, conferences, and academic meetings
Updates:
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2026-01-24: Excited to share that our paper on “Adversarially Robust Learning-to-Defer for Classification and Regression” has been accepted to AISTATS 2026! Looking forward to presenting our work at the conference.
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2025-10-17: The preprint of our work on “Adversarial Robustness in One-Stage Learning-to-Defer” is now available on arXiv: https://arxiv.org/abs/2510.10988.
My Recent Blogs
- AR(1) Process and properties - A brief overview of the AR(1) process and its key properties.
SWE Resources
AI/ML Resources
Learning to Defer
Research Resources
- NUS SoC Cluster Guide(Need NUS Comp Account)
- My Cluster Guide
- My Note on Torch
New Era
Nostalgia
AI and Us
Anthropic
TED Talks
February 2026
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Mon Feb 23: I find an awesome explanation on call back and also it’s relation to closure in swift
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Tue Feb 24: Dependency injection
March 2026
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Wed Mar 10: window in JS, also touch on compilation and execution of JS
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Mon Mar 16: Swift deinit issue I hope this will be fixed in the future, but for now, be careful when testing in Swift.
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Tue Mar 17: What is Agentic AI Engineering (Meta Staff Engineer Explains) agentic validation; build cli tool, openclaw; the opportunity is whatever slow down the agents; brown field projects aren’t optimized for agents; what are good principles for agentic codebase?
April 2026
- Sun Apr 26: A collection of different NN and their original paper would be good if I have time to go through them in the coming vacation.