Yun Yang
35 papers · 2018–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 40% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yun Yang?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xiaohui Chen, Yifan Chen, Rentian Yao
14 papers
· 2021–2025
· AISTATS, ICML, JMLR
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Mean-Field Variational Inference via Wasserstein Gradient Flow
JMLR 2025
Testing Conditional Mean Independence Using Generative Neural Networks
ICML 2025
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
AISTATS 2024
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
ICLR 2024
Wasserstein Proximal Coordinate Gradient Algorithms
JMLR 2024
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
ICML 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
ICML 2023
Mean-field nonparametric estimation of interacting particle systems
COLT 2022
Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
AISTATS 2022
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences
NAACL 2022
Wasserstein K-means for clustering probability distributions
NeurIPS 2022
Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
AISTATS 2021
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
AISTATS 2021
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
NeurIPS 2021
6 papers whose co-authors appear nowhere else under this name
CLeVeR: Multi-modal Contrastive Learning for Vulnerability Code Representation
ACL 2025
Personalized Question Answering with User Profile Generation and Compression
EMNLP 2025
Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions
CVPR 2023
Robust Temporal Smoothness in Multi-Task Learning
AAAI 2023
Non-asymptotic Analysis for Nonparametric Testing
COLT 2020
Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model
IJCAI 2019