Sheng Ouyang

According to our database, Sheng Ouyang authored at least 28 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learn More with Less: Uncertainty Consistency Guided Query Selection for RLVR.

Hao Yi, Yulan Hu, Xin Li, Sheng Ouyang, Lizhong Ding, Yong Liu

CoRR, January, 2026

Time-Dependent Path Selection and Online Learning for Efficient DAG Task Offloading in In-Network Computing.

Weiwen Zhang, Sheng Ouyang, Junyu Mai, Yuan Chai, Quan Chen

IEEE Internet Things J., 2026

2025

AMAP Agentic Planning Technical Report.

Yulan Hu, Xiangwen Zhang, Sheng Ouyang, Hao Yi, Lu Xu, Qinglin Lang, Lide Tan, Xiang Cheng, Tianchen Ye, Zhicong Li, Ge Chen, Wenjin Yang, Zheng Pan, Shaopan Xiong, Siran Yang, Ju Huang, Yan Zhang, Jiamang Wang, Yong Liu, Yinfeng Huang, Tucheng Lin, Xin Li, Ning Guo

CoRR, December, 2025

Transformers as Intrinsic Optimizers: Forward Inference through the Energy Principle.

Ruifeng Ren, Sheng Ouyang, Huayi Tang, Yong Liu

CoRR, November, 2025

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts.

Sheng Ouyang, Yihao Qin, Bo Lin, Liqian Chen, Xiaoguang Mao, Shangwen Wang

CoRR, March, 2025

Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning.

Yulan Hu, Sheng Ouyang, Yong Liu

CoRR, January, 2025

Adversarial Masked Graph Autoencoders for Improved Graph Representation Learning.

Yulan Hu, Zhirui Yang, Sheng Ouyang, Yong Liu

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Let the Code Speak: Incorporating Program Dynamic State for Better Method-Level Fault Localization.

Yihao Qin, Shangwen Wang, Bo Lin, Xin Peng, Sheng Ouyang, Liqian Chen, Xiaoguang Mao

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Contrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity.

Ge Chen, Yulan Hu, Sheng Ouyang, Cuicui Luo

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective.

Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

The Mechanism of Entrepreneurial Resource Bricolage on Entrepreneurial Behavior in Underdeveloped Regions.

Sheng Ouyang, Linji Luo, Kaili Chen, Zhaoyang Liu

Syst., 2024

GUNDAM: Aligning Large Language Models with Graph Understanding.

Sheng Ouyang, Yulan Hu, Ge Chen, Yong Liu

CoRR, 2024

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation.

Ge Chen, Yulan Hu, Sheng Ouyang, Yong Liu, Cuicui Luo

CoRR, 2024

Towards Comprehensive Preference Data Collection for Reward Modeling.

Yulan Hu, Qingyang Li, Sheng Ouyang, Ge Chen, Kaihui Chen, Lijun Mei, Xucheng Ye, Fuzheng Zhang, Yong Liu

CoRR, 2024

Exploring Task Unification in Graph Representation Learning via Generative Approach.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Ge Chen, Junchen Wan, Xiao Wang, Yong Liu

CoRR, 2024

Efficient Online Path Selection and Workload Allocation for In-Network Computing in MEC.

Sheng Ouyang, Fanlong Zhang, Junyu Mai, Yuan Chai, Quan Chen, Yongchao Tao

Proceedings of the Wireless Artificial Intelligent Computing Systems and Applications, 2024

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders.

Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering.

Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao

Proceedings of the International Joint Conference on Neural Networks, 2024

GFMAE: Self-Supervised GNN-Free Masked Autoencoders.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

Proceedings of the IEEE International Conference on Acoustics, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.

Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu

Proceedings of the Database Systems for Advanced Applications, 2024

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets.

Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification.

Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu

CoRR, 2023

Do We Really Need Contrastive Learning for Graph Representation?

Yulan Hu, Sheng Ouyang, Jingyu Liu, Ge Chen, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

CoRR, 2023

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.

Yulan Hu, Zhirui Yang, Sheng Ouyang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu

CoRR, 2023

Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism.

Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Understanding the Generalization Performance of Spectral Clustering Algorithms.

Shaojie Li, Sheng Ouyang, Yong Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2016

Spectrum Handoff Method Based on Extenics for Cognitive Radio Sensor Networks.

Yonghua Wang, Pin Wan, Sheng Ouyang, Fei Yuan, Yuli Fu

Int. J. Online Eng., 2016