Qing Zhou
15 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(74)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(6)
Core Methods
(5)
Optimization & Theory · Machine Learning
(5)
Deep Learning
(4)
Mathematics & Optimization
(4)
Mathematics
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Keywords
structure learning
(5)
directed acyclic graph
(3)
causal discovery
(2)
graphical model
(2)
bayesian network
(2)
conditional independence
(2)
data pruning
(2)
gaussian graphical model
(2)
penalized likelihood
(2)
reinforcement learning
(2)
graph theory
(1)
visual grounding
(1)
covariance estimation
(1)
semantic alignment
(1)
hierarchical clustering
(1)
continual learning
(1)
image captioning
(1)
curse of dimensionality
(1)
self-supervised learning
(1)
probabilistic modeling
(1)
Papers
Batch Loss Score for Dynamic Data Pruning
CVPR 2026
Beyond Missing Modalities: Hypergraph Conditioned Diffusion for Uncertainty-Aware Multimodal Emotion Recognition
CVPR 2026
Beyond Prompt Degradation: Prototype-guided Dual-pool Prompting for Incremental Object Detection
CVPR 2026
Discriminative Perception via Anchored Description for Reasoning Segmentation
CVPR 2026
Learning general conditional independence structures via the neighbourhood lattice
JMLR 2026
Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation
AAAI 2026
Causal Discovery on Dependent Binary Data
AISTATS 2025
MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentation in 4D Ultrasound
MICCAI 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
NeurIPS 2019
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
JMLR 2015