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Kai Ming Ting

To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators
2007 · Ying Yang, G.I. Webb, et al. · IEEE Transactions on Knowledge and Data Engineering · 48
Revisiting streaming anomaly detection: benchmark and evaluation
2024 · Yang Cao, Yixiao Ma, et al. · Artificial Intelligence Review · 23
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Multi-dimensional Mass Estimation and Mass-based Clustering
2010 · Kai Ming Ting, J R Wells · Proceedings · 22
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Reproducing the Results of Ant-based Clustering Without Using Ants
2006 · Swee Chuan Tan, Kai Ming Ting, et al. · IEEE Congress on Evolutionary Computation (CEC) · 14
Isolation Kernel Estimators
2022 · Kai Ming Ting, Takashi Washio, et al. · Knowledge and Information Systems · 6
A fuzzy neural network for data mining: dealing with the problem of small disjuncts
2003 · Y. Frayman, Kai Ming Ting, et al. · International Joint Conference on Neural Networks (IJCNN) · 6
IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection
2026 · Yang Xu, Yixiao Ma, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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Is it possible to find the single nearest neighbor of a query in high dimensions?
2024 · Kai Ming Ting, Takashi Washio, et al. · Artificial Intelligence · 2
Issues of grid-cluster retrievals in swarm-based clustering
2008 · Swee Chuan Tan, Kai Ming Ting, et al. · IEEE Congress on Evolutionary Computation (CEC) · 1
Learning to Unlearn: Machine Unlearning via Learning the Unlearning Behaviors
2026 · Zhang, Hang, Zhang, Kaifeng, et al. · arXiv (Cornell University)
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Topologically Relevant Landmark Selection on Point Clouds
2026 · Zhang, Kaifeng, Ting, Kai Ming · arXiv (Cornell University)
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Why does Greedy Search produce Optimal Clustering Outcomes? A Fixed-Core Assignment Theory
2026 · Zhang, Kaifeng, Ting, Kai Ming, et al. · arXiv (Cornell University)
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Online Automatic Modulation Classification Based on Distributional Signal Representation
2026 · Xinpeng Li, Zile Jiang, et al. · Lecture notes in computer science
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
2026 · Xinpeng Li, Kai Ming Ting · Proceedings of the AAAI Conference on Artificial Intelligence
GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
2026 · Yang Xu, Zuliang Yang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
2026 · Yang Xu, Hang Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
Optimization-Free Graph Embedding via Distributional Kernel for Community Detection
2026 · Song, Shuaibin, Ting, Kai Ming, et al. · arXiv (Cornell University)
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Interpretable Graph-Level Anomaly Detection via Contrast with Normal Prototypes
2026 · Zhao, Qiuran, Ting, Kai Ming, et al. · arXiv (Cornell University)
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Rethinking Divisive Hierarchical Clustering from a Distributional Perspective
2026 · Zhang, Kaifeng, Ting, Kai Ming, et al. · arXiv (Cornell University)
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Mass Distribution versus Density Distribution in the Context of Clustering
2026 · Ting, Kai Ming, Zhu, Ye, et al. · arXiv (Cornell University)
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LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval
2026 · Zhibo Zhang, Yang Xu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Voronoi Diagram Encoded Hashing
2025 · Yang Xu, Kai Ming Ting · Lecture notes in computer science
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An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel
2024 · Li, Xinpeng, Jiang, Zile, et al. · arXiv (Cornell University)
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Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
2024 · Yang Cao, Ye Zhu, et al. · International Joint Conference on Artificial Intelligence
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Works count: 24
Citation count: 124
H-index: 6
I10-index: 4
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