- CARTS: Collaborative Agents for Recommendation Textual Summarization (ICML 2025)
- Seller-side Outcome Fairness in Online Marketplaces (NIPS 2023)
- LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models (IEEE Big Data 2023)
- GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation (ICDM 2023)
- LLM-Based Aspect Augmentations for Recommendation Systems (ICML 2023)
- Awards and Recognition:
- Tutorial on Multi Agent Recommender Systems at RecSys Conference (September 2025)
- Lecture on Modern Topics on Recommender Systems at RecSys Summer School (September 2025)
- Review of ARAG work by Elvis Saravia, Quantum Zeitgeist, and Top Information Retrieval Papers of the Week
- Mentioned by Google VP Sumit Gupta and Technology Reviewer Dylan Patel (June 2023)
- Patents Filed:
- Systems and methods for hybrid optimization training of multinomial logit models (USPTO, August 2024)
- System and method for recommending items based on enhanced user representations (USPTO, August 2024)
Research Experience
- Work Experience: Staff Data Scientist at Walmart Labs' Personalization Team
- Research Projects: Exploring/Implementing large-scale language agent pipelines in classic e-commerce tasks
Education
- Ph.D. in Data Science from the University of Illinois Urbana-Champaign (UIUC) - Grainger College of Engineering
- Advisor: Professor Xin Chen
- Time: Not explicitly provided
Background
- Research Interests: Recommender Systems, Information Retrieval, NLP for RecSys, Customer Intent Inference, and Optimization
- Professional Field: Data Science
- Brief Introduction: Working as a Staff Data Scientist at Walmart Labs' Personalization Team, focusing on exploring/implementing large-scale language agent pipelines in classic e-commerce tasks.