Spectrum Handoff Method Based on Extenics for Cognitive Radio Sensor Networks. - Yonghua Wang 001; Pin Wan; Sheng Ouyang; Fei Yuan; Yuli Fu 001 (Int. J. Online Eng., 2016)

Understanding the Generalization Performance of Spectral Clustering Algorithms. - Shaojie Li; Sheng Ouyang; Yong Liu 018 (AAAI, 2023)

Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism. - Jiaxin Fan; Yong Zhang 058; Hanzhang Li; Jianzong Wang; Zhitao Li 002; Sheng Ouyang; Ning Cheng 001; Jing Xiao 006 (INTERSPEECH, 2023)

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning. - Yulan Hu; Zhirui Yang; Sheng Ouyang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (CoRR, 2023)

Do We Really Need Contrastive Learning for Graph Representation? - Yulan Hu; Sheng Ouyang; Jingyu Liu; Ge Chen 006; Zhirui Yang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (CoRR, 2023)

VIGraph: Self-supervised Learning for Class-Imbalanced Node Classification. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu (CoRR, 2023)

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 018 (AAAI, 2024)

Advancing Latent Representation Ranking for Masked Graph Autoencoder. - Yulan Hu; Ge Chen 006; Sheng Ouyang; Zhirui Yang; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Zhao Cao; Shangquan Wu; Yong Liu 018 (DASFAA (6), 2024)

GFMAE: Self-Supervised GNN-Free Masked Autoencoders. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yi Zhao 006; Junchen Wan; Fuzheng Zhang; Zhongyuan Wang 006; Yong Liu 018 (ICASSP, 2024)

QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering. - Sheng Ouyang; Jianzong Wang; Yong Zhang 058; Zhitao Li 002; Ziqi Liang; Xulong Zhang 001; Ning Cheng 001; Jing Xiao 006 (IJCNN, 2024)

IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu 018; Cuicui Luo (SIGIR, 2024)

Efficient Online Path Selection and Workload Allocation for In-Network Computing in MEC. - Sheng Ouyang; Fanlong Zhang; Junyu Mai; Yuan Chai; Quan Chen 003; Yongchao Tao (WASA (3), 2024)

Exploring Task Unification in Graph Representation Learning via Generative Approach. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Ge Chen 006; Junchen Wan; Xiao Wang; Yong Liu 018 (CoRR, 2024)

Towards Comprehensive Preference Data Collection for Reward Modeling. - Yulan Hu; Qingyang Li 001; Sheng Ouyang; Ge Chen 006; Kaihui Chen; Lijun Mei; Xucheng Ye; Fuzheng Zhang; Yong Liu 018 (CoRR, 2024)

Preserving Node Distinctness in Graph Autoencoders via Similarity Distillation. - Ge Chen 006; Yulan Hu; Sheng Ouyang; Yong Liu 018; Cuicui Luo (CoRR, 2024)

GUNDAM: Aligning Large Language Models with Graph Understanding. - Sheng Ouyang; Yulan Hu; Ge Chen 006; Yong Liu 018 (CoRR, 2024)

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. - Sheng Ouyang; Yulan Hu; Ge Chen 006; Qingyang Li 001; Fuzheng Zhang; Yong Liu 018 (ACL (1), 2025)

Contrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning. - Yulan Hu; Sheng Ouyang; Zhirui Yang; Yong Liu (ICASSP, 2025)

Adversarial Masked Graph Autoencoders for Improved Graph Representation Learning. - Yulan Hu; Zhirui Yang; Sheng Ouyang; Yong Liu 018 (ICMR, 2025)

Coarse-to-Fine Process Reward Modeling for Enhanced Mathematical Reasoning. - Yulan Hu; Sheng Ouyang; Yong Liu 018 (CoRR, 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, 2025)