Yang Ni
15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (15)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(24)
π
Conference Polyglot
(7)
π
Keyword Champion
(2)
π
Century Club
(15)
ποΈ
Keyword Collector
(64)
β‘
Prolific Year
(6)
Conferences
JMLR (5)
NIPS (3)
UAI (2)
WACV (2)
AISTATS (1)
ICML (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
causal discovery
(6)
structural learning
(2)
directed acyclic graph
(2)
causal structure
(2)
bayesian inference
(2)
markov chain monte carlo
(2)
zero-inflated count datum
(2)
categorical datum
(2)
posterior inference
(1)
discriminant analysis
(1)
vision transformer
(1)
human pose estimation
(1)
bayesian nonparametrics
(1)
face recognition
(1)
precision matrix
(1)
bayesian framework
(1)
bayesian network
(1)
gaussian graphical model
(1)
sparse structure
(1)
uncertainty quantification
(1)
Papers
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
AISTATS 2025
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
WACV 2025
Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables
JMLR 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data
JMLR 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
Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data
JMLR 2024
Model-based Causal Discovery for Zero-Inflated Count Data
JMLR 2023
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
NIPS 2023
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract)
IJCAI 2023
Ordinal causal discovery
UAI 2022
Causal discovery with heterogeneous observational data
UAI 2022
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure
JMLR 2022
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
NIPS 2022
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
NIPS 2020