Chen Lu
9 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (7) π Academic Marathon (5) π§ Keyword Pioneer π Cross-Pollinator (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π₯
Unstoppable
(6)
Conferences
COLT (2)
NIPS (2)
AISTATS (1)
ALT (1)
ECCV (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
markov chain monte carlo
(3)
log-concave distribution
(3)
query complexity
(2)
rejection sampling
(2)
optimal transport
(1)
community detection
(1)
fisher information
(1)
sublinear time
(1)
stochastic block model
(1)
mixing time
(1)
discrete distribution
(1)
graphical model
(1)
random graph
(1)
phase transition
(1)
gradient flow
(1)
lower bound
(1)
langevin monte carlo
(1)
chi-squared divergence
(1)
statistical physics
(1)
stein variational gradient descent
(1)
Papers
Endoscopic Depth-of-Field Expansion via Cascaded Network with Two-streamed Multi-scale Fusion
MICCAI 2025
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
ECCV 2024
Fisher information lower bounds for sampling
ALT 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
JMLR 2023
Rejection sampling from shape-constrained distributions in sublinear time
AISTATS 2022
The query complexity of sampling from strongly log-concave distributions in one dimension
COLT 2022
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
COLT 2021
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
NIPS 2020
Exponential ergodicity of mirror-Langevin diffusions
NIPS 2020