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Sheng Ouyang
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2020 – today
- 2024
- [c8]Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu:
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. AAAI 2024: 9287-9295 - [c7]Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu:
Advancing Latent Representation Ranking for Masked Graph Autoencoder. DASFAA (6) 2024: 385-394 - [c6]Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu:
GFMAE: Self-Supervised GNN-Free Masked Autoencoders. ICASSP 2024: 7500-7504 - [c5]Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering. IJCNN 2024: 1-7 - [c4]Ge Chen
, Yulan Hu
IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders. SIGIR 2024: 2457-2461 - [c3]Sheng Ouyang, Fanlong Zhang, Junyu Mai, Yuan Chai, Quan Chen, Yongchao Tao:
Efficient Online Path Selection and Workload Allocation for In-Network Computing in MEC. WASA (3) 2024: 1-13 - [i10]Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong Liu:
Exploring Task Unification in Graph Representation Learning via Generative Approach. CoRR abs/2403.14340 (2024) - [i9]Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering. CoRR abs/2404.19316 (2024) - [i8]Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu:
Towards Comprehensive Preference Data Collection for Reward Modeling. CoRR abs/2406.16486 (2024) - [i7]Ge Chen, Yulan Hu, Sheng Ouyang, Yong Liu, Cuicui Luo:
Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation. CoRR abs/2406.17517 (2024) - [i6]Sheng Ouyang, Yulan Hu, Ge Chen, Yong Liu:
GUNDAM: Aligning Large Language Models with Graph Understanding. CoRR abs/2409.20053 (2024) - 2023
- [c2]Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. AAAI 2023: 8614-8621 - [c1]Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao:
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism. INTERSPEECH 2023: 2173-2177 - [i5]Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao:
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism. CoRR abs/2308.03423 (2023) - [i4]Yulan Hu, Zhirui Yang, Sheng Ouyang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu:
HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning. CoRR abs/2310.11102 (2023) - [i3]Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu:
Do We Really Need Contrastive Learning for Graph Representation? CoRR abs/2310.14525 (2023) - [i2]Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu:
VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification. CoRR abs/2311.01191 (2023) - 2022
- [i1]Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. CoRR abs/2205.00281 (2022)
2010 – 2019
- 2016
- [j1]Yonghua Wang, Pin Wan, Sheng Ouyang, Fei Yuan, Yuli Fu:
Spectrum Handoff Method Based on Extenics for Cognitive Radio Sensor Networks. Int. J. Online Eng. 12(3): 36-41 (2016)
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