Wu, Chuan

HybridFlow: A Flexible and Efficient RLHF Framework

Sheng, G., Zhang, C., Ye, Z., Wu, X., Zhang, W., Zhang, R., Peng, Y., Lin, H., & Wu, C. (2024) · arXiv

Parallel Computing and Optimization TechniquesScientific Computing and Data Management

Cited by 74

HybridFlow: A Flexible and Efficient RLHF Framework

Sheng, G., Zhang, C., Ye, Z., Wu, X., Zhang, W., Zhang, R., Peng, Y., Lin, H., & Wu, C. (2025) · Proceedings of the Twentieth European Conference on Computer Systems

Parallel Computing and Optimization TechniquesScientific Computing and Data Management

Cited by 74

Distributed Machine Learning through Heterogeneous Edge Systems

Hu, H., Wang, D., & Wu, C. (2019) · arXiv

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 47

Responsive multipath TCP in SDN-based datacenters

Duan, J., Wang, Z., & Wu, C. (2015) · 2015 IEEE International Conference on Communications (ICC)

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 37

Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models

Jiang, J., Truong, A. K. Y., Chen, Y., Bao, Q., Wang, S., Chen, P., Wang, J., Kong, L., Li, Y., & Wu, C. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingNatural Language Processing Techniques

Cited by 1

Guiding Human Validation of LLM-Generated Code via Verifiable Literate Programming

Yuan, Z., Lu, W., Wu, H., Jin, D., & Wu, C. (2026) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

QuantCode-Eval: Benchmarking Quantitative Strategy Code Reproduction from Finance Papers

Lu, W., Yuan, Z., Wu, H., Jin, D., & Wu, C. (2026) · SSRN Electronic Journal

Software Engineering ResearchScientific Computing and Data Management

Cited by 0