Wenhao Yuan

According to our database, Wenhao Yuan authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Belief-Guided Inference Control for Large Language Model Services via Verifiable Observations.

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Shuo Yang, Edith Cheuk-Han Ngai

CoRR, April, 2026

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series Classification.

Jian Chen, Yuzhu Hu, Xiaoyan Yuan, Yuxuan Hu, Jinfeng Xu, Yipeng Du, Wenhao Yuan, Wei Wang, Edith C. H. Ngai

CoRR, April, 2026

Privacy-Aware Incentive Design for Federated Crowdsourcing via Combinatorial Multi-Armed Bandits.

Chenchen Lin, Wenhao Yuan, Edith C. H. Ngai, Xuehe Wang

IEEE Trans. Cloud Comput., 2026

Verify Before You Commit: Towards Faithful Reasoning in LLM Agents via Self-Auditing.

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Xuehe Wang, Edith Cheuk-Han Ngai

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Game-Theoretic Framework for Privacy-Aware Client Sampling in Federated Learning.

Wenhao Yuan, Xuehe Wang

IEEE Trans. Netw., 2025

Combinatorial Multi-Armed Bandit-based Incentives in Privacy-Preserving Federated Crowdsourcing.

Chenchen Lin, Wenhao Yuan, Xuehe Wang

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2025

Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning.

Wenhao Yuan, Xuehe Wang

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

2024

Adaptive Federated Learning via New Entropy Approach.

Shensheng Zheng, Wenhao Yuan, Xuehe Wang, Lingjie Duan

IEEE Trans. Mob. Comput., December, 2024

QI-DPFL: Quality-Aware and Incentive-Boosted Federated Learning with Differential Privacy.

Wenhao Yuan, Xuehe Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Fast Convergent Federated Learning with Aggregated Gradients.

Wenhao Yuan, Xuehe Wang

CoRR, 2023