Yuhong Guo

A Unified Framework for Heterogeneous Semi-supervised Learning CVPR 2025 Zero-Shot Action Generalization with Limited Observations AISTATS 2025 Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling AAAI 2025 Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification AISTATS 2024 Reinforcement Learning Guided Semi-Supervised Learning NIPS 2024 Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024 Local and Global Flatness for Federated Domain Generalization ECCV 2024 Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation AISTATS 2024 Mutual Partial Label Learning with Competitive Label Noise ICLR 2023 Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars CVPR 2023 Learning Robust Graph Neural Networks with Limited Supervision AISTATS 2023 Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment ICLR 2023 Adversarial Partial Multi-Label Learning with Label Disambiguation AAAI 2021 Parameterless Transductive Feature Re-representation for Few-Shot Learning ICML 2021 Multi-level Generative Models for Partial Label Learning with Non-random Label Noise IJCAI 2021 Dual Adversarial Co-Learning for Multi-Domain Text Classification AAAI 2020 Time-aware Large Kernel Convolutions ICML 2020 Inverse Visual Question Answering with Multi-Level Attentions ACML 2020 Adaptive Object Detection with Dual Multi-Label Prediction ECCV 2020 Partial Label Learning with Batch Label Correction AAAI 2020 Progressive Ensemble Networks for Zero-Shot Recognition CVPR 2019 Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation ACML 2018 Matrix completion with Preference Ranking for Top-N Recommendation IJCAI 2018 Incomplete Attribute Learning with auxiliary labels IJCAI 2017 Learning Discriminative Recommendation Systems with Side Information IJCAI 2017 Zero-Shot Classification With Discriminative Semantic Representation Learning CVPR 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 Semi-Supervised Zero-Shot Classification With Label Representation Learning ICCV 2015 Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015 Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation ACL 2015 Multi-Label Classification with Feature-Aware Non-Linear Label Space Transformation IJCAI 2015 Semi-Supervised Multi-Label Learning with Incomplete Labels IJCAI 2015 Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation IJCNLP 2015 Distributed Word Representation Learning for Cross-Lingual Dependency Parsing CONLL 2014 Latent Semantic Representation Learning for Scene Classification ICML 2014 Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model ICML 2013 Adaptive Active Learning for Image Classification CVPR 2013 A Novel Two-Step Method for Cross Language Representation Learning NIPS 2013 Robust Transfer Principal Component Analysis with Rank Constraints NIPS 2013 Probabilistic Multi-Label Classification with Sparse Feature Learning IJCAI 2013 Active Learning with Multi-Label SVM Classification IJCAI 2013 Online Active Learning for Cost Sensitive Domain Adaptation CONLL 2013 Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering EMNLP 2013 Semi-Supervised Representation Learning for Cross-Lingual Text Classification EMNLP 2013 Semi-supervised Representation Learning for Domain Adaptation using Dynamic Dependency Networks COLING 2012 Max-Margin Ratio Machine ACML 2012 Multi-View AdaBoost for Multilingual Subjectivity Analysis COLING 2012 Active Instance Sampling via Matrix Partition NIPS 2010 Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008 Discriminative Batch Mode Active Learning NIPS 2007 Convex Relaxations of Latent Variable Training NIPS 2007