| Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability K Xu, L Chen, S Wang arXiv preprint arXiv:2406.02496, 2024 | 73 | 2024 |
| A multi-view kernel clustering framework for categorical sequences K Xu, L Chen, S Wang Expert Systems with Applications 197, 116637, 2022 | 36 | 2022 |
| Data-driven kernel subspace clustering with local manifold preservation K Xu, L Chen, S Wang 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 876-884, 2022 | 28 | 2022 |
| Rhine: A regime-switching model with nonlinear representation for discovering and forecasting regimes in financial markets K Xu, L Chen, JM Patenaude, S Wang Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 27 | 2024 |
| Kernel representation learning with dynamic regime discovery for time series forecasting K Xu, L Chen, JM Patenaude, S Wang Pacific-Asia Conference on Knowledge Discovery and Data Mining, 251-263, 2024 | 19 | 2024 |
| A self-representation model for robust clustering of categorical sequences K Xu, L Chen, S Wang, B Wang Web and Big Data: APWeb-WAIM 2018 International Workshops: MWDA, BAH, KGMA …, 2018 | 16 | 2018 |
| Self-expressive kernel subspace clustering algorithm for categorical data with embedded feature selection H Chen, K Xu, L Chen, Q Jiang Mathematics 9 (14), 1680, 2021 | 14 | 2021 |
| Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? K Xu, L Chen, S Wang arXiv preprint arXiv:2410.10041, 2024 | 11 | 2024 |
| Clustering-based cross-sectional regime identification for financial market forecasting R Chen, M Sun, K Xu, JM Patenaude, S Wang International Conference on Database and Expert Systems Applications, 3-16, 2022 | 11 | 2022 |
| Kernel Subspace Clustering Algorithm for Categorical Data K Xu, L Chen, H Sun, B Wang Journal of Software 31 (11), 3492-3505, 2020 | 9 | 2020 |
| Wormhole: Concept-aware deep representation learning for co-evolving sequences K Xu, L Chen, S Wang arXiv preprint arXiv:2409.13857, 2024 | 8 | 2024 |
| Dynamic Cross-sectional Regime Identification for Financial Market Prediction R Chen, K Xu, JM Patenaude, S Wang 2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022 | 8 | 2022 |
| Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients J Lam, K Xu arXiv preprint arXiv:2406.05189, 2024 | 6 | 2024 |
| KAN4Drift: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? K Xu, L Chen, S Wang NeurIPS Workshop on Time Series in the Age of Large Models, 2024 | 6 | 2024 |
| Methods of sandy land detection in a sparse-vegetation scene based on the fusion of HJ-2A hyperspectral and GF-3 Sar data Y Li, J Wu, B Zhong, X Shi, K Xu, K Ao, B Sun, X Ding, X Wang, Q Liu, ... Remote Sensing 14 (5), 1203, 2022 | 6 | 2022 |
| Trajectory tracking using frenet coordinates with deep deterministic policy gradient T Jiang, L Liu, J Jiang, T Zheng, Y Jin, K Xu arXiv preprint arXiv:2411.13885, 2024 | 5 | 2024 |
| DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning K Xu, L Chen, S Wang Proceedings of the Canadian Conference on Artificial Intelligence, 2024 | 2 | 2024 |
| Kernel Subspace Clustering Algorithm for Categorical Data K Xu, L Chen, H Sun, B Wang Journal of Software 31 (11), 3492-3505, 2020 | 2* | 2020 |
| Drift2Matrix: Kernel-Induced Self Representation for Concept Drift Adaptation in Co-evolving Time Series K Xu, L Chen, S Wang arXiv preprint arXiv:2501.01480, 2025 | 1 | 2025 |
| Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach K Xu, L Chen, S Wang arXiv preprint arXiv:2501.06368, 2025 | | 2025 |
