Changliang Zou
16 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π Keyword Champion (2) π Grand Slam
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Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Keywords
false discovery rate
(6)
statistical inference
(3)
uncertainty quantification
(3)
model selection
(3)
conformal prediction
(3)
change point detection
(3)
hypothesis testing
(2)
outlier detection
(2)
online learning
(2)
high-dimensional statistics
(2)
heavy-tailed distribution
(2)
multiple testing
(2)
robust estimation
(2)
conformal inference
(2)
asymptotic analysis
(1)
time series prediction
(1)
high-dimensional regression
(1)
model fitting
(1)
novelty detection
(1)
statistical hypothesis testing
(1)
Papers
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
JMLR 2025
Conditional Testing based on Localized Conformal p-values
ICLR 2025
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
ICML 2025
e-GAI: e-value-based Generalized $Ξ±$-Investing for Online False Discovery Rate Control
ICML 2025
Error-quantified Conformal Inference for Time Series
ICLR 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
ICLR 2025
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
JMLR 2025
ByMI: Byzantine Machine Identification with False Discovery Rate Control
ICML 2024
Conformalized Multiple Testing after Data-dependent Selection
NeurIPS 2024
Low-Rank Matrix Estimation in the Presence of Change-Points
JMLR 2024
Real-Time Selection Under General Constraints via Predictive Inference
NeurIPS 2024
Robust group and simultaneous inferences for high-dimensional single index model
NeurIPS 2024
Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation
AAAI 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference
NeurIPS 2024
Robust High-Dimensional Low-Rank Matrix Estimation: Optimal Rate and Data-Adaptive Tuning
JMLR 2023
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control
NeurIPS 2022