A Self-representation Model for Robust Clustering of Categorical Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang; Beizhan Wang (APWeb/WAIM Workshops, 2018)

Dynamic Cross-sectional Regime Identification for Financial Market Prediction. - Rongbo Chen; Kunpeng Xu 002; Jean-Marc Patenaude; Shengrui Wang (COMPSAC, 2022)

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. - Rongbo Chen; Mingxuan Sun; Kunpeng Xu 002; Jean-Marc Patenaude; Shengrui Wang (DEXA (2), 2022)

Data-driven Kernel Subspace Clustering with Local Manifold Preservation. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (ICDM (Workshops), 2022)

A Multi-view Kernel Clustering framework for Categorical sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Expert Syst. Appl., 2022)

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2023)

DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (Canadian AI, 2024)

Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (PAKDD (6), 2024)

RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. - Kunpeng Xu 002; Lifei Chen; Jean-Marc Patenaude; Shengrui Wang (SDM, 2024)

Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. - Kunpeng Xu 002; 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 002 (CoRR, 2024)

Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2024)

Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient. - Tongzhou Jiang; Lipeng Liu; Junyue Jiang; Tianyao Zheng; Yuhui Jin; Kunpeng Xu 002 (CoRR, 2024)

Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications. - Kunpeng Xu 002 (AAAI, 2025)

CORAL: Concept Drift Representation Learning for Co-evolving Time-series. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. - Kunpeng Xu 002; Lifei Chen; Shengrui Wang (CoRR, 2025)