Kunpeng Xu

According to our database, Kunpeng Xu authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?

Kunpeng Xu, Lifei Chen, Shengrui Wang

CoRR, 2024

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences.

Kunpeng Xu, Lifei Chen, Shengrui Wang

CoRR, 2024

Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients.

Jorden Lam, Kunpeng Xu

CoRR, 2024

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

Kunpeng Xu, Lifei Chen, Shengrui Wang

CoRR, 2024

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets.

Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting.

Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning.

Kunpeng Xu, Lifei Chen, Shengrui Wang

CoRR, 2023

2022

A Multi-view Kernel Clustering framework for Categorical sequences.

Kunpeng Xu, Lifei Chen, Shengrui Wang

Expert Syst. Appl., 2022

Data-driven Kernel Subspace Clustering with Local Manifold Preservation.

Kunpeng Xu, Lifei Chen, Shengrui Wang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting.

Rongbo Chen, Mingxuan Sun, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang

Proceedings of the Database and Expert Systems Applications, 2022

Dynamic Cross-sectional Regime Identification for Financial Market Prediction.

Rongbo Chen, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2018

A Self-representation Model for Robust Clustering of Categorical Sequences.

Kunpeng Xu, Lifei Chen, Shengrui Wang, Beizhan Wang

Proceedings of the Web and Big Data, 2018