ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction
Published in SIGKDD, 2025
This paper is about Heterogeneous Graph Learning.
Authors: Kaiwen Xia, Li Lin*, Shuai Wang, Qi Zhang, Shuai Wang, Tian He
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Publications
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HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer.
Published in TKDE, 2025
This paper is about Heterogeneous Graph Learning.
Authors: Wang Shuai, Wang Hai, Lin Li*, Zhao Xiaohui, He Tian, Shen Dian and Xi Wei
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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.
Authors: Li Lin, Xin Xu, Hai Wang, Tian He, Desheng Zhang, and Shuai Wang.
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.
Authors: Li Lin, Xinyao Chen, Kaiwen Xia, Shuai Wang, Desheng Zhang, and Tian He.
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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.
Authors: Li Lin, Kaiwen Xia, Anqi Zheng, Shijie Hu, and Shuai Wang.
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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.
Authors: Li Lin, Zhiqiang Lu, Shuai Wang, Yunhuai Liu, Zhiqing Hong, Haotian Wang, and Shuai Wang.
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Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models
Published in SIGIR, 2024
This paper is about Reasoning on LLMs
Authors: Li Lin, Yixin Cao, Lifu Huang, Shu’Ang Li, Xuming Hu, Lijie Wen, and Jianmin Wang.
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A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform
Published in WWW, 2024
This paper is about sequence forecasting.
Authors: Zhiyuan Zhou, Li Lin*, Hai Wang, Xiaolei Zhou, Gong Wei,and Shuai Wang.
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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.
Authors: Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, and Tian He.
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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.
Authors: Li Lin, Yixin Cao, Lifu Huang, Shu’Ang Li, Xuming Hu, Lijie Wen, and Jianmin Wang.
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