Chengfei Lv

According to our database, Chengfei Lv authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

AUTOACT: Automatic Agent Learning from Scratch via Self-Planning.

Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen

CoRR, 2024

2023

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

Xiang Chen, Duanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Jiang Yong, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen

CoRR, 2023

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction.

Bowen Cai, Jinchi Huang, Rongfei Jia, Chengfei Lv, Huan Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning.

Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen

Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021

Federated Submodel Averaging.

Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lv, Yanghe Feng, Guihai Chen

CoRR, 2021

Data-Free Evaluation of User Contributions in Federated Learning.

Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv

Proceedings of the 19th International Symposium on Modeling and Optimization in Mobile, 2021

2020

Toward Understanding the Influence of Individual Clients in Federated Learning.

Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen

CoRR, 2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.

Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv

CoRR, 2020

MNN: A Universal and Efficient Inference Engine.

Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu

CoRR, 2020

Billion-scale federated learning on mobile clients: a submodel design with tunable privacy.

Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

2019

Secure Federated Submodel Learning.

Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen

CoRR, 2019