Yu Yin（阴钰）

GitHub | Google Scholar

Introduction

I am an AI researcher that enjoys:
- Learning, thinking and sharing. Driven by curiosity. Care about innovative and impactful ideas. Love to share what I learn and think.
- Put thoughts into reality. Solid systems and engineering background. Open-source practitioner.
My research interests include: natural language processing, user modeling and personalization, reinforcement learning and educational data mining.

Education

Sept 2017 – July 2023 (estimated)
PhD Student, School of Computer Science, USTC. (Advisor: Prof. Enhong Chen).
Sept 2013 – July 2017
Bachelor, School of Computer Science, USTC

Experiences

BASE Group, Group Leader, Sept 2018 – Present.
CODIA, Team Leader, Architect, May 2019 – Present.
National Education Examinations Authority, Research Intern, Apr 2018 – Aug 2018.
iFLYTEK Co. Ltd., Research Intern, Aug 2016 – Aug 2017

Publications

Projects

Services & Awards

Program Committee of SIGIR '23, ACL '23.
National Scholarship for Postgraduates, Sept 2018.
Student Travel Award for KDD'18, Aug 2018.
Excellent Bachelor Dissertation Award for USTC, Jun 2017.
First Prize, Parallel Application Challenge (PAC2015), Nov 2015.
First Prize, The Second Student RDMA Programming Contest, Oct 2014.
Bronze Prize, Chinese National Olympiad in Informatics (NOI), Aug 2012.

Talks

JAX: Compile the Future of Deep Learning to Present, Dec 2022.
How to Organize Related Work, Apr 2022.
From Programming Assessment to CODIA, Oct 2021.
GraphQL API Design, Apr 2021.
How to Write Good Front-End, Mar 2021.
How to be Logical, Sept 2020.
Computers: Past, Present and Future, Nov 2019.
Continuous Control: Basics and Beyond, Nov 2019.
Some New Ideas in RL, Apr 2019.
fret: Framework for Reproducible ExperimenTs, Apr 2019.
Git Workflow, Mar 2019.
Reinforcement Learning: Basics, Oct 2017.
Coding Deep (Introduction to DL Frameworks), May 2017.
Introduction to Modern C++, Apr 2017.
SCAlable LAnguage Scala, Apr 2016.
What is Sage, Software Freedom Day, Sept 2014.