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 Min Xiao, Xin Li, Feipeng Zhao
23 papers
· 2007–2017
· IJCAI, CoNLL, NeurIPS
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Learning Discriminative Recommendation Systems with Side Information
IJCAI 2017
Improving Top-N Recommendation with Heterogeneous Loss
IJCAI 2016
Predictive Collaborative Filtering with Side Information
IJCAI 2016
Annotation Projection-based Representation Learning for Cross-lingual Dependency Parsing
CoNLL 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels
AISTATS 2015
Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
ACL 2015
Max-Margin Zero-Shot Learning for Multi-class Classification
AISTATS 2015
Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation
IJCAI 2015
Semi-Supervised Multi-Label Learning with Incomplete Labels
IJCAI 2015
Semi-Supervised Zero-Shot Classification With Label Representation Learning
ICCV 2015
Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
CoNLL 2014
Latent Semantic Representation Learning for Scene Classification
ICML 2014
A Novel Two-Step Method for Cross Language Representation Learning
NeurIPS 2013
Active Learning with Multi-Label SVM Classification
IJCAI 2013
Adaptive Active Learning for Image Classification
CVPR 2013
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
ICML 2013
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering
EMNLP 2013
Online Active Learning for Cost Sensitive Domain Adaptation
CoNLL 2013
Semi-Supervised Representation Learning for Cross-Lingual Text Classification
EMNLP 2013
Multi-View AdaBoost for Multilingual Subjectivity Analysis
COLING 2012
Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks
COLING 2012
Convex Relaxations of Latent Variable Training
NeurIPS 2007
Discriminative Batch Mode Active Learning
NeurIPS 2007
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