Qing Zhou
10 papers · 2015–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (10) π§ Keyword Pioneer π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(25)
π
Interdisciplinary Bridge
π
Cross-Pollinator
(11)
π
Keyword Champion
(2)
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
JMLR (3)
AISTATS (2)
AAAI (1)
CVPR (1)
ICML (1)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
structure learning
(4)
directed acyclic graph
(3)
bayesian network
(2)
gaussian graphical model
(2)
penalized likelihood
(2)
causal discovery
(1)
graph theory
(1)
zero-shot learning
(1)
covariance estimation
(1)
graphical model
(1)
semantic alignment
(1)
high-dimensional estimation
(1)
covariance matrix
(1)
structural learning
(1)
hierarchical clustering
(1)
divide and conquer
(1)
self-supervised learning
(1)
training efficiency
(1)
conditional independence
(1)
curriculum learning
(1)
Papers
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
AAAI 2026
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
MICCAI 2025
Causal Discovery on Dependent Binary Data
AISTATS 2025
Scale Efficient Training for Large Datasets
CVPR 2025
Learning Gaussian DAGs from Network Data
JMLR 2024
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
ICML 2023
On perfectness in Gaussian graphical models
AISTATS 2022
Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion
JMLR 2020
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
NIPS 2019
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
JMLR 2015