Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
User Intents and Dynamic Context in Recommender Systems, SIGIR 2023
A Situation-aware Enhancer for Personalized Recommendation, DASFAA 2024
Right Tool, Right Job: Recommendation for Repeat and Exploration Consumption in Food Delivery, RecSys 2024
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets, IMWUT Vol 6, No 3
A Difficulty-Aware Framework for Churn Prediction and Intervention in Games, KDD 2021
SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals, CHIIR 2024
ReChorus2.0: A Modular and Task-Flexible Recommendation Library, RecSys 2024
LifeRec: A Mobile App for Lifelog Recording and Ubiquitous Recommendation, CHIIR 2022
Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method, JMIR Infodemiology (Vol 3, 2023)
Factors influencing passage of time judgment in individuals’ daily lives: evidence from the experience sampling and diary methods, Psychological Research (2023.07)
Epidemiological research on rare diseases using large-scale online search queries and reported case data, Orphanet Journal of Rare Diseases (2023.08)
Background
Research interests include recommender systems, user intent understanding, lifelogging, and ubiquitous recommendation. Currently an Algorithm Engineer at ByteDance.