CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Toolace: Winning the Points of LLM Function Calling

Personalized Diversification for Neural Re-ranking in Recommendation

Neural Re-ranking in Multi-Stage Recommender Systems: A Review

Item Relationship Graph Neural Networks for E-commerce

Personalized Re-ranking with Item Relationships for E-commerce

Personalized Fairness-aware Re-ranking for Microlending

Field-aware Probabilistic Embedding Neural Network for CTR Prediction

Contextual Dependent Click Bandit Algorithm for Web Recommendation

Talks

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances

September 18, 2023

Tutorial at RecSys 2023, Singapore

How Recommender Systems Can Benefit from Large Language Models: An Application Perspective

January 01, 2023

Talk at DataFun, SusTech, NTU, Juejin,

Neural Re-ranking for Multi-stage Recommender Systems

September 18, 2022

Tutorial at RecSys 2022, Seattle, Washington, USA|Online

Teaching

Service and leadership

• Currently signed in to 43 different slack teams