Yang Ni
16 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
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Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(7)
Knowledge & Reasoning
(6)
Reasoning
(6)
Optimization & Theory
(5)
Bayesian & Probabilistic
(4)
Core Methods
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Keywords
causal discovery
(7)
directed acyclic graph
(3)
markov chain monte carlo
(2)
dirichlet process
(2)
bayesian inference
(2)
structural learning
(2)
zero-inflated count data
(2)
causal structure
(2)
categorical data
(2)
posterior inference
(1)
discriminant analysis
(1)
vision transformer
(1)
human pose estimation
(1)
noise modeling
(1)
bayesian nonparametrics
(1)
bayesian network
(1)
precision matrix
(1)
face recognition
(1)
gaussian graphical model
(1)
bayesian framework
(1)
Papers
MERIT: Multi-domain Efficient RAW Image Translation
CVPR 2026
Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables
JMLR 2025
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
AISTATS 2025
Global-Local Dirichlet Processes for Clustering Grouped Data in the Presence of Group-Specific Idiosyncratic Variables
ICML 2025
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
WACV 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data
JMLR 2025
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
WACV 2025
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
JMLR 2024
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
IJCAI 2023
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
NeurIPS 2023
Model-based Causal Discovery for Zero-Inflated Count Data
JMLR 2023
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure
JMLR 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
NeurIPS 2022
Causal discovery with heterogeneous observational data
UAI 2022
Ordinal causal discovery
UAI 2022
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
NeurIPS 2020