Mingjun Zhong
7 papers · 2005–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
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Keyword Pioneer
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Keyword Champion
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Deep Learning
(2)
Core AI
(2)
Models
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Learning Types
(1)
Optimization
(1)
Research
(1)
Keywords
variational inference
(3)
multimodal distribution
(2)
approximate inference
(2)
blind source separation
(2)
gaussian mixture model
(2)
bayesian inference
(1)
data integration
(1)
gaussian process
(1)
protein fold prediction
(1)
policy search
(1)
expectation propagation
(1)
energy disaggregation
(1)
posterior regularization
(1)
information geometry
(1)
gaussian process prior
(1)
hidden markov model
(1)
latent variable model
(1)
mixture of expert
(1)
trust region
(1)
gradient-free optimization
(1)
Papers
DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions
AAAI 2026
Trust-Region Variational Inference with Gaussian Mixture Models
JMLR 2020
Efficient Gradient-Free Variational Inference using Policy Search
ICML 2018
Latent Bayesian melding for integrating individual and population models
NeurIPS 2015
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NeurIPS 2014
Data Integration for Classification Problems Employing Gaussian Process Priors
NeurIPS 2006
Reversible Jump MCMC for Non-Negative Matrix Factorization
AISTATS 2005