Kai Ming Ting
10 papers · 2013–2026 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (14) π£ Hot Topic Early Bird π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
kernel methods
(3)
isolation kernel
(3)
kernel mean embedding
(2)
support vector machine
(2)
similarity learning
(1)
prototype learning
(1)
unsupervised learning
(1)
incremental learning
(1)
similarity search
(1)
feature attribution
(1)
topological data analysis
(1)
nearest neighbor
(1)
probability distribution
(1)
gaussian kernel
(1)
noise robustness
(1)
point cloud
(1)
stochastic neighbor embedding
(1)
data visualization
(1)
streaming data
(1)
dimensionality reduction
(1)
Papers
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
AAAI 2026
GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing
AAAI 2026
IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection
AAAI 2026
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
AAAI 2026
Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint)
IJCAI 2024
Towards a Persistence Diagram that is Robust to Noise and Varied Densities
ICML 2023
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel (Extended Abstract)
IJCAI 2022
Isolation Graph Kernel
AAAI 2021
Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering
AAAI 2019
Optimizing Cepstral Features for Audio Classification
IJCAI 2013