Supervised Neural Topic Modeling with Label Alignment.
Trans. Assoc. Comput. Linguistics, 2025
Self-supervised Topic Taxonomy Discovery in the Box Embedding Space.
Trans. Assoc. Comput. Linguistics, 2024
Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge.
Briefings Bioinform., 2024
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024
Hierarchical Topic Modeling via Contrastive Learning and Hyperbolic Embedding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
A Drug Combination Prediction Framework Based on Graph Convolutional Network and Heterogeneous Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Learning Chinese word embeddings from semantic and phonetic components.
Multim. Tools Appl., 2022
Graph-based Dynamic Word Embeddings.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Chinese Word Embedding Learning with Limited Data.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021
Lifelong Learning of Topics and Domain-Specific Word Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021