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publications
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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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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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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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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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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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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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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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.
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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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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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
DataBase Systems
Undergraduate Course, CS, 2023
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Introduction to Computer Systems
Undergraduate Course, CS, 2024
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