Yuhong Guo
53 papers · 2007–2025 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yuhong Guo?
4 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 Marzi Heidari, Abdullah Alchihabi, Qing En
9 papers
· 2023–2025
· AISTATS, CVPR, AAAI
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A Unified Framework for Heterogeneous Semi-supervised Learning
CVPR 2025
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
AAAI 2025
Zero-Shot Action Generalization with Limited Observations
AISTATS 2025
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
AISTATS 2024
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
AISTATS 2024
Local and Global Flatness for Federated Domain Generalization
ECCV 2024
Reinforcement Learning Guided Semi-Supervised Learning
NeurIPS 2024
Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars
CVPR 2023
Learning Robust Graph Neural Networks with Limited Supervision
AISTATS 2023
13 papers whose co-authors appear nowhere else under this name
Parameterless Transductive Feature Re-representation for Few-Shot Learning
ICML 2021
Adaptive Object Detection with Dual Multi-Label Prediction
ECCV 2020
Dual Adversarial Co-Learning for Multi-Domain Text Classification
AAAI 2020
Inverse Visual Question Answering with Multi-Level Attentions
ACML 2020
Time-aware Large Kernel Convolutions
ICML 2020
Matrix completion with Preference Ranking for Top-N Recommendation
IJCAI 2018
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation
ACML 2018
Incomplete Attribute Learning with auxiliary labels
IJCAI 2017
Probabilistic Multi-Label Classification with Sparse Feature Learning
IJCAI 2013
Robust Transfer Principal Component Analysis with Rank Constraints
NeurIPS 2013
Max-Margin Ratio Machine
ACML 2012
Active Instance Sampling via Matrix Partition
NeurIPS 2010
Supervised Exponential Family Principal Component Analysis via Convex Optimization
NeurIPS 2008