Kunpeng Xu - RankMe

22 papers A* 3A 1B 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CausalSKyHop: Knowledge-Aware Causal Explanation of Dynamic GNNs via Higher-Order Semantic Reasoning. WWW Jixuan Wu, Limei Lin, Xiaoding Wang, Kunpeng Xu, Jie Wu
2026	J	`jnl`	Toward Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. IEEE Trans. Artif. Intell. Kunpeng Xu, Lifei Chen, Shengrui Wang
2026	J	`jnl`	Twin learning for domain agnostic time series analysis: A regime-switch approach. Pattern Recognit. Kunpeng Xu, Lifei Chen, Shengrui Wang
2025	J	`jnl`	CORAL: Concept Drift Representation Learning for Co-evolving Time-series. CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2025	A*	`conf`	Kernel Representation Learning for Time Sequence: Algorithm, Theory, and Applications. AAAI Kunpeng Xu
2025	J	`jnl`	StruSR: Structure-Aware Symbolic Regression with Physics-Informed Taylor Guidance. CoRR Yunpeng Gong, Sihan Lan, Can Yang, Kunpeng Xu, Min Jiang
2025	A*	`conf`	Toward Interpretable Time Series Modeling: A Kernel Representation Perspective. IJCAI Kunpeng Xu
2025	J	`jnl`	Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach. CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2024	J	`jnl`	Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients. CoRR Jorden Lam, Kunpeng Xu
2024	J	`jnl`	Are KAN Effective for Identifying and Tracking Concept Drift in Time Series? CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2024	—	`conf`	DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning. Canadian AI Kunpeng Xu, Lifei Chen, Shengrui Wang
2024	—	`conf`	Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. PAKDD (6) Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
2024	J	`jnl`	Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability. CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2024	A	`conf`	RHINE: A Regime-Switching Model with Nonlinear Representation for Discovering and Forecasting Regimes in Financial Markets. SDM Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
2024	J	`jnl`	Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient. CoRR Tongzhou Jiang, Lipeng Liu, Junyue Jiang, Tianyao Zheng, Yuhui Jin, Kunpeng Xu
2024	J	`jnl`	Wormhole: Concept-Aware Deep Representation Learning for Co-Evolving Sequences. CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2023	J	`jnl`	DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning. CoRR Kunpeng Xu, Lifei Chen, Shengrui Wang
2022	J	`jnl`	A Multi-view Kernel Clustering framework for Categorical sequences. Expert Syst. Appl. Kunpeng Xu, Lifei Chen, Shengrui Wang
2022	—	`conf`	Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. DEXA (2) Rongbo Chen, Mingxuan Sun, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang
2022	—	`conf`	Data-driven Kernel Subspace Clustering with Local Manifold Preservation. ICDM (Workshops) Kunpeng Xu, Lifei Chen, Shengrui Wang
2022	B	`conf`	Dynamic Cross-sectional Regime Identification for Financial Market Prediction. COMPSAC Rongbo Chen, Kunpeng Xu, Jean-Marc Patenaude, Shengrui Wang
2018	—	`conf`	A Self-representation Model for Robust Clustering of Categorical Sequences. APWeb/WAIM Workshops Kunpeng Xu, Lifei Chen, Shengrui Wang, Beizhan Wang