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Yuyin Lu
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2020 – today
- 2024
- [j3]Hegang Chen, Yuyin Lu, Zhiming Dai, Yuedong Yang, Qing Li, Yanghui Rao:
Comprehensive single-cell RNA-seq analysis using deep interpretable generative modeling guided by biological hierarchy knowledge. Briefings Bioinform. 25(4) (2024) - [c7]Zhicheng Lin, Hegang Chen, Yuyin Lu, Yanghui Rao, Hao Xu, Hanjiang Lai:
Hierarchical Topic Modeling via Contrastive Learning and Hyperbolic Embedding. LREC/COLING 2024: 8133-8143 - [c6]Jiaxing Yan, Yuyin Lu, Hegang Chen, Jianxing Yu, Yanghui Rao:
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering. ECML/PKDD (8) 2024: 270-287 - [i1]Yuyin Lu, Hegang Chen, Pengbo Mao, Yanghui Rao, Haoran Xie, Fu Lee Wang, Qing Li:
Self-supervised Topic Taxonomy Discovery in the Box Embedding Space. CoRR abs/2408.15050 (2024) - 2023
- [j2]Hegang Chen, Yuyin Lu, Yuedong Yang, Yanghui Rao:
A Drug Combination Prediction Framework Based on Graph Convolutional Network and Heterogeneous Information. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1917-1925 (2023) - [c5]Hegang Chen, Pengbo Mao, Yuyin Lu, Yanghui Rao:
Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling. ACL (1) 2023: 10377-10390 - [c4]Ziran Liang, Yuyin Lu, Hegang Chen, Yanghui Rao:
Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning. ACL (1) 2023: 14133-14149 - 2022
- [j1]Fu Lee Wang, Yuyin Lu, Gary Cheng, Haoran Xie, Yanghui Rao:
Learning Chinese word embeddings from semantic and phonetic components. Multim. Tools Appl. 81(29): 42805-42820 (2022) - [c3]Yuyin Lu, Xin Cheng, Ziran Liang, Yanghui Rao:
Graph-based Dynamic Word Embeddings. IJCAI 2022: 4280-4288 - 2021
- [c2]Xiaorui Qin, Yuyin Lu, Yufu Chen, Yanghui Rao:
Lifelong Learning of Topics and Domain-Specific Word Embeddings. ACL/IJCNLP (Findings) 2021: 2294-2309 - [c1]Shurui Chen, Yufu Chen, Yuyin Lu, Yanghui Rao, Haoran Xie, Qing Li:
Chinese Word Embedding Learning with Limited Data. APWeb/WAIM (1) 2021: 211-226
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last updated on 2024-10-07 21:25 CEST by the dblp team
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