Jihong Ouyang
15 papers · 2016–2024 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (32)
π
Keyword Champion
(2)
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(78)
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Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(15)
Core Methods
(8)
Deep Learning
(6)
Natural Language Processing
(6)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Applications
(4)
Bayesian & Probabilistic
(4)
Learning Types Β· Deep Learning
(4)
Optimization
(4)
Architectures
(3)
Models
(3)
Application Areas
(2)
Generation
(1)
Keywords
variational inference
(4)
optimal transport
(3)
topic modeling
(3)
contrastive learning
(2)
positive and unlabeled learning
(2)
word embedding
(2)
short text
(2)
neural topic model
(2)
topic model
(2)
wasserstein barycenter
(2)
binary classification
(1)
image retrieval
(1)
gradient-based optimization
(1)
manifold regularization
(1)
probabilistic modeling
(1)
opinion mining
(1)
sentiment classification
(1)
text classification
(1)
semi-supervised learning
(1)
text generation
(1)
Papers
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
AAAI 2024
Generalized Variational Inference via Optimal Transport
AAAI 2024
Positive and Unlabeled Learning with Controlled Probability Boundary Fence
ICML 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
Learning with Partial Labels from Semi-supervised Perspective
AAAI 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization
AAAI 2023
Weakly-supervised Text Classification with Wasserstein Barycenters Regularization
IJCAI 2022
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning
ICLR 2022
Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts
EMNLP 2021
Layer-Assisted Neural Topic Modeling over Document Networks
IJCAI 2021
Semi-Supervised Text Classification with Balanced Deep Representation Distributions
ACL 2021
Approximate Optimal Transport for Continuous Densities with Copulas
IJCAI 2019
Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts
AAAI 2019
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling
IJCAI 2018
Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs
COLING 2016