Ouyang, Jihong

13 publications

AAAI 2024 Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li

AAAI 2024 Generalized Variational Inference via Optimal Transport Jinjin Chi, Zhichao Zhang, Zhiyao Yang, Jihong Ouyang, Hongbin Pei

ICML 2024 Positive and Unlabeled Learning with Controlled Probability Boundary Fence Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang

IJCAI 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang

AAAI 2023 Learning with Partial Labels from Semi-Supervised Perspective Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang

AAAI 2023 Variational Wasserstein Barycenters with C-Cyclical Monotonicity Regularization Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

IJCAI 2022 Weakly-Supervised Text Classification with Wasserstein Barycenters Regularization Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

ICLR 2022 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang

IJCAI 2021 Layer-Assisted Neural Topic Modeling over Document Networks Yiming Wang, Ximing Li, Jihong Ouyang

MLJ 2021 Topic Extraction from Extremely Short Texts with Variational Manifold Regularization Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang

IJCAI 2019 Approximate Optimal Transport for Continuous Densities with Copulas Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

AAAI 2019 Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts Ximing Li, Jiaojiao Zhang, Jihong Ouyang

IJCAI 2018 Variance Reduction in Black-Box Variational Inference by Adaptive Importance Sampling Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang