Yuchang Sun

According to our database, Yuchang Sun authored at least 20 papers between 2021 and 2025.

Collaborative distances:

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

2025

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting.

Wenhao Zhang, Yuexiang Xie, Yuchang Sun, Yanxi Chen, Guoyin Wang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, August, 2025

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models.

Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, May, 2025

Enhancing Latent Computation in Transformers with Latent Tokens.

Yuchang Sun, Yanxi Chen, Yaliang Li, Bolin Ding

CoRR, May, 2025

How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning.

Yuchang Sun, Marios Kountouris, Jun Zhang

IEEE Trans. Mob. Comput., April, 2025

Learn How to Query from Unlabeled Data Streams in Federated Learning.

Yuchang Sun, Xinran Li, Tao Lin, Jun Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Feature Matching Data Synthesis for Non-IID Federated Learning.

Zijian Li, Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

IEEE Trans. Mob. Comput., October, 2024

Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning.

Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang

IEEE Trans. Wirel. Commun., July, 2024

MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates.

Yuchang Sun, Yuyi Mao, Jun Zhang

IEEE Trans. Mob. Comput., July, 2024

Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Songze Li, Jun Zhang

IEEE Trans. Wirel. Commun., June, 2024

Exploring Selective Layer Fine-Tuning in Federated Learning.

Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang

CoRR, 2024

Dual-Delayed Asynchronous SGD for Arbitrarily Heterogeneous Data.

Xiaolu Wang, Yuchang Sun, Hoi-To Wai, Jun Zhang

CoRR, 2024

2023

Semi-Decentralized Federated Edge Learning With Data and Device Heterogeneity.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

IEEE Trans. Netw. Serv. Manag., June, 2023

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency.

Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Jun Zhang

CoRR, 2023

DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning.

Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang

CoRR, 2023

Probabilistic Device Scheduling for Over-the-Air Federated Learning.

Yuchang Sun, Zehong Lin, Yuyi Mao, Shi Jin, Jun Zhang

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jessie Hui Wang, Jun Zhang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing.

Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stochastic Coded Federated Learning with Convergence and Privacy Guarantees.

Yuchang Sun, Jiawei Shao, Songze Li, Yuyi Mao, Jun Zhang

Proceedings of the IEEE International Symposium on Information Theory, 2022

Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang

Proceedings of the IEEE International Conference on Communications, 2022

2021

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data.

Yuchang Sun, Jiawei Shao, Yuyi Mao, Jun Zhang

CoRR, 2021