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Yuhong Guo

54 papers · 2007–2025 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) πŸ—ΊοΈ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (3) 🐺 Lone Wolf (3) 🀝 Dynamic Duo (12) πŸ† Grand Slam 🌱 Topic Pioneer πŸ† Keyword Champion πŸ”₯ Unstoppable (10) ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (69) πŸ’Ž Century Club (54) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

IJCAI (10) NIPS (7) AISTATS (6) AAAI (5) CVPR (5) ICML (4) ACML (3) CONLL (3) COLING (2) ECCV (2) EMNLP (2) ICLR (2) ACL (1) ICCV (1) IJCNLP (1)

Top co-authors

Min Xiao (12) Xin Li (7) Yan Yan (6) Feipeng Zhao (6) Marzi Heidari (4) Abdullah Alchihabi (4) Dale Schuurmans (3) Qing En (3) Hanping Zhang (2) Meng Ye (2)

Keywords

domain adaptation (6) representation learning (4) semi-supervised learning (4) zero-shot learning (4) partial label learning (3) active learning (3) transductive learning (3) instance selection (2) label disambiguation (2) label embedding (2) adversarial learning (2) knowledge transfer (2) image classification (2) label noise (2) feature alignment (2) matrix factorization (2) convex optimization (2) principal component analysis (2) expectation maximization (2) matrix completion (2)

Papers

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