DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion
Published in CIKM, 2024
This paper is about Hierarchical Graph Learning.
Publications
You can also find my articles on my Google Scholar profile.
Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Logistics Audience Expansion
Published in CIKM, 2024
This paper is about Heterogeneous Data Modeling and Prediction.
Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting
Published in CIKM, 2024
This paper is about Heterogeneous Data Modeling and Prediction.
MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction
Published in SIGKDD, 2024
This paper is about Heterogeneous Data Modeling and Prediction.
Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models
Published in SIGIR, 2024
This paper is about Reasoning on LLMs
A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform
Published in WWW, 2024
This paper is about sequence forecasting.
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A predict-then-optimize couriers allocation framework for emergency last-mile logistics
Published in SIGKDD, 2023
This paper is about Multimodal Prediction and Decision-making.
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What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation
Published in SIGIR, 2022
This paper is about Prompting LLMs.
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