Sihan Liu
12 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) ποΈ Keyword Collector (53)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Core Methods
(4)
Learning Types
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Reinforcement Learning
(2)
Core AI
(2)
Mathematics
(2)
Computer Science
(1)
Deep Learning
(1)
Analysis
(1)
Application Areas
(1)
Keywords
sample complexity
(5)
linear function approximation
(2)
computational lower bound
(2)
gaussian distribution
(2)
distribution testing
(2)
reinforcement learning
(2)
computational-statistical gaps
(2)
adversarial label noise
(2)
testable learning
(2)
robust learning
(2)
mean estimation
(1)
markov decision process
(1)
video transformer
(1)
linear regression
(1)
semantic segmentation
(1)
remote sensing
(1)
halfspace classification
(1)
computational complexity
(1)
robust statistics
(1)
contamination model
(1)
Papers
A Quasi-Polynomial Time Mean Estimator Under Mean-Shift Contamination with Unknown Covariance
COLT 2026
Batch List-Decodable Linear Regression via Higher Moments
ICML 2025
DCKAN: A Dual-Coordinate KAN Framework for Fibrous Cap Segmentation on Carotid OCT
MICCAI 2025
IKAN: Interactive KAN with Modulation Fusion for Medical Image Segmentation
MICCAI 2025
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization
NeurIPS 2024
Replicable Uniformity Testing
NeurIPS 2024
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation
CVPR 2024
Testable Learning of General Halfspaces with Adversarial Label Noise
COLT 2024
Efficient Testable Learning of Halfspaces with Adversarial Label Noise
NeurIPS 2023
Exponential Hardness of Reinforcement Learning with Linear Function Approximation
COLT 2023
Computational-Statistical Gap in Reinforcement Learning
COLT 2022
Nearly-Tight Bounds for Testing Histogram Distributions
NeurIPS 2022