Jason Xue
8 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(17)
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(7)
Application Areas
(4)
Deep Learning
(3)
Core Methods
(3)
Optimization & Theory
(3)
Data Science & Analytics
(2)
Applications
(2)
Learning Types
(2)
Techniques
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Analysis
(1)
Core AI
(1)
Keywords
credit risk
(2)
prototype learning
(1)
multimodal large language model
(1)
knowledge editing
(1)
data augmentation
(1)
feature importance
(1)
machine unlearning
(1)
maximum likelihood
(1)
curse of dimensionality
(1)
approximation algorithm
(1)
randomized smoothing
(1)
decision boundary
(1)
out-of-distribution detection
(1)
k-center clustering
(1)
interpretability
(1)
privacy leakage
(1)
must-link constraint
(1)
cannot-link constraint
(1)
gradient ascent
(1)
contrastive learning
(1)
Papers
Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach
AAAI 2026
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
AAAI 2026
AttEXplore: Attribution for Explanation with model parameters eXploration
ICLR 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
ICML 2024
Iterative Search Attribution for Deep Neural Networks
ICML 2024
Learning with Mixture of Prototypes for Out-of-Distribution Detection
ICLR 2024
Combating Sampling Bias: A Self-Training Method in Credit Risk Models
AAAI 2022
Using Small Business Banking Data for Explainable Credit Risk Scoring
AAAI 2020