Chengfei Lv

According to our database, Chengfei Lv authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Personalized LLM for Generating Customized Responses to the Same Query from Different Users.

Hang Zeng, Chaoyue Niu, Fan Wu, Chengfei Lv, Guihai Chen

CoRR, 2024

GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting.

Shuichang Lai, Letian Huang, Jie Guo, Kai Cheng, Bowen Pan, Xiaoxiao Long, Jiangjing Lyu, Chengfei Lv, Yanwen Guo

CoRR, 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

Making Language Models Better Tool Learners with Execution Feedback.

Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices.

Tiancheng Fang, Chaoyue Niu, Yujie Sun, Chengfei Lv, Xiaotang Jiang, Ben Xue, Fan Wu, Guihai Chen

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting.

Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks.

Hang Zeng, Chaoyue Niu, Fan Wu, Shaojie Tang, Leihao Pei, Chengfei Lv, Guihai Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.

Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lv, Xiaowei Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization.

Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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