2025
Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting.
CoRR, May, 2025

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.
CoRR, March, 2025

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation.
CoRR, March, 2025

2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems.
CoRR, 2024

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms.
CoRR, 2024

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing.
Proceedings of the Database Systems for Advanced Applications, 2024

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning Over Large-Scale Graphs.
IEEE Trans. Knowl. Data Eng., 2022

Identifying User Relationship on WeChat Money-Gifting Network.
IEEE Trans. Knowl. Data Eng., 2022

2019
Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting.
Proceedings of the 18th IEEE International Conference On Trust, 2019

2018
WeChat Toxic Article Detection: A Data-Driven Machine Learning Approach.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018