Chaofan Yu

According to our database, Chaofan Yu authored at least 11 papers between 2011 and 2024.

Collaborative distances:

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

2024

A Fast, Performant, Secure Distributed Training Framework For Large Language Model.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

CoRR, 2024

A Fast, Performant, Secure Distributed Training Framework For LLM.

Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Dispatch of highly renewable energy power system considering its utilization via a data-driven Bayesian assisted optimization algorithm.

Chaofan Yu, Yuanzheng Li, Yun Liu, Leijiao Ge, Hao Wang, Yunfeng Luo, Linqiang Pan

Knowl. Based Syst., December, 2023

Deep Reinforcement Learning for Smart Grid Operations: Algorithms, Applications, and Prospects.

Yuanzheng Li, Chaofan Yu, Mohammad Shahidehpour, Tao Yang, Zhigang Zeng, Tianyou Chai

Proc. IEEE, September, 2023

SecretFlow-SPU: A Performant and User-Friendly Framework for Privacy-Preserving Machine Learning.

Junming Ma, Yancheng Zheng, Jun Feng, Derun Zhao, Haoqi Wu, Wenjing Fang, Jin Tan, Chaofan Yu, Benyu Zhang, Lei Wang

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2021

Large-scale Secure XGB for Vertical Federated Learning.

Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

S3ML: A Secure Serving System for Machine Learning Inference.

Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao

CoRR, 2020

A Hybrid-Domain Framework for Secure Gradient Tree Boosting.

Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X

CoRR, 2020

Secure Collaborative Training and Inference for XGBoost.

Andrew Law, Chester Leung, Rishabh Poddar, Raluca Ada Popa, Chenyu Shi, Octavian Sima, Chaofan Yu, Xingmeng Zhang, Wenting Zheng

Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020

2013

Fast Filter-Based Boolean Matchers.

Chaofan Yu, Lingli Wang, Chun Zhang, Yu Hu, Lei He

IEEE Embed. Syst. Lett., 2013

2011

Automatic layout generator for embedded FPGA cores.

Chaofan Yu, Lingli Wang, Xuegong Zhou

Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011