Kaiwen Xia

According to our database, Kaiwen Xia authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CSSG: A Continuous Spatio-temporal Graph Learning Framework with Scalable Spatial Granularity.

Kaiwen Xia, Li Lin, Qi Zhang, Xinrui Zhang, Shuai Wang, Xuming Hu, Philip S. Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation.

Li Lin, Xinrui Zhang, Qi Zhang, Shuai Wang, Kaiwen Xia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

H²DGL: Adaptive Metapath-Based Dynamic Graph Learning for Supply Forecasting in Logistics System.

Kaiwen Xia, Li Lin, Shuai Wang, Anqi Zheng, Zhao-Dong Xu, Desheng Zhang, Tian He

IEEE Trans. Intell. Transp. Syst., October, 2025

ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction.

Kaiwen Xia, Li Lin, Shuai Wang, Qi Zhang, Shuai Wang, Tian He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction.

Kaiwen Xia, Li Lin, Xinrui Zhang, Haotian Wang, Shuai Wang, Tian He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Self-Supervised Heterogeneous Graph Learning Framework for Customer Value Prediction.

Junjie Lin, Kaiwen Xia, Xinrui Zhang, Li Lin, Shuai Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Key-Factor-Aware Customer Value Prediction on Multi-View Hypergraphs.

An Li, Li Lin, Xinrui Zhang, Kaiwen Xia, Qi Zhang, Shuai Wang

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

CoANBR: A Collaborative Aggregation Model for Next Basket Recommendation with Time-Independent Sequence Modeling.

Li Lin, Kaiwen Xia, Haotian Shen, Shuai Wang

Proceedings of the Database Systems for Advanced Applications, 2025

To Know What User Concerns: Conceptual Knowledge Reasoning for User Satisfaction Estimation in E-Commerce Dialogue Systems.

Li Lin, Yaochang Liu, Kaiwen Xia, Shuai Wang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks.

Kaiwen Xia, Huijun Wu, Duanyu Li, Min Xie, Ruibo Wang, Wenzhe Zhang

CoRR, 2024

Information Cascade Prediction under Public Emergencies: A Survey.

Qi Zhang, Guang Wang, Li Lin, Kaiwen Xia, Shuai Wang

CoRR, 2024

An Bi-Directional Sequence Inference Framework for Multi-Agent Reinforcement Learning.

Wujun Xu, Kaiwen Xia, Shuai Wang, Xiaolei Zhou, Tian He, Li Lin

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting.

Li Lin, Kaiwen Xia, Anqi Zheng, Shijie Hu, Shuai Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion.

Li Lin, Xinyao Chen, Kaiwen Xia, Shuai Wang, Desheng Zhang, Tian He

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics.

Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

BeiDou Short-Message Satellite Resource Allocation Algorithm Based on Deep Reinforcement Learning.

Kaiwen Xia, Jing Feng, Chao Yan, Chaofan Duan

Entropy, 2021