Xiaohui Chen
18 papers · 2012–2026 · 9 venues · across top CS/AI venues
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Achievements
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(2)
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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Research topics
Machine Learning
(17)
Optimization & Theory
(9)
Deep Learning
(7)
Core Methods
(7)
Mathematics & Optimization
(6)
Models
(5)
Optimization
(5)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Core AI
(3)
Learning Types Β· Deep Learning
(2)
Mathematics
(2)
Keywords
semidefinite programming
(4)
optimal transport
(4)
variational inference
(3)
maximum likelihood estimation
(3)
k-means clustering
(3)
graph generative model
(2)
clustering algorithm
(2)
wasserstein distance
(2)
graph generation
(2)
autoregressive model
(2)
multi-task learning
(1)
convex optimization
(1)
ensemble learning
(1)
feature selection
(1)
mean field theory
(1)
transformer architecture
(1)
anomaly detection
(1)
vision-language alignment
(1)
contrastive learning
(1)
image captioning
(1)
Papers
GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction
AAAI 2026
CompCap: Improving Multimodal Large Language Models with Composite Captions
ICCV 2025
Graph Generative Pre-trained Transformer
ICML 2025
MADGEN: Mass-Spec attends to De Novo Molecular generation
ICLR 2025
Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization
ICML 2025
GeONet: a neural operator for learning the Wasserstein geodesic
UAI 2024
Statistically Optimal K-means Clustering via Nonnegative Low-rank Semidefinite Programming
ICLR 2024
Wasserstein Proximal Coordinate Gradient Algorithms
JMLR 2024
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
ICML 2023
Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation
JMLR 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data
ICML 2023
On Separate Normalization in Self-supervised Transformers
NeurIPS 2023
Mean-field nonparametric estimation of interacting particle systems
COLT 2022
Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
AISTATS 2022
Wasserstein K-means for clustering probability distributions
NeurIPS 2022
GAN Ensemble for Anomaly Detection
AAAI 2021
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
ICML 2021
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
AISTATS 2012