no code implementations • 30 Apr 2024 • Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, ZiQi Liang, xulong Zhang, Ning Cheng, Jing Xiao
Extractive Question Answering (EQA) in Machine Reading Comprehension (MRC) often faces the challenge of dealing with semantically identical but format-variant inputs.
Extractive Question-Answering Machine Reading Comprehension +1
no code implementations • 21 Mar 2024 • Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong liu
Specifically, GA^2E proposes to use the subgraph as the meta-structure, which remains consistent across all graph tasks (ranging from node-, edge-, and graph-level to transfer learning) and all stages (both during training and inference).
no code implementations • 2 Nov 2023 • Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong liu
VIGraph strictly adheres to the concept of imbalance when constructing imbalanced graphs and innovatively leverages the variational inference (VI) ability of Variational GAE to generate nodes for minority classes.
no code implementations • 23 Oct 2023 • Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong liu
Thus, we propose GraphRank, a simple yet efficient graph contrastive learning method that addresses the problem of false negative samples by redefining the concept of negative samples to a certain extent, thereby avoiding the issue of false negative samples.
no code implementations • 17 Oct 2023 • Yulan Hu, Zhirui Yang, Sheng Ouyang, Yong liu
Instead of focusing on designing complex strategies to capture heterogeneity, HGVAE centers on refining the latent representation.
no code implementations • 7 Aug 2023 • Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao
Chinese Automatic Speech Recognition (ASR) error correction presents significant challenges due to the Chinese language's unique features, including a large character set and borderless, morpheme-based structure.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 30 Apr 2022 • Shaojie Li, Sheng Ouyang, Yong liu
The theoretical analysis of spectral clustering mainly focuses on consistency, while there is relatively little research on its generalization performance.