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2020 – today
- 2024
[c9]Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen:
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. ACL (1) 2024: 3003-3021- [c8]Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu:
MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization. CVPR 2024: 10682-10692 - [c7]Hang Zeng, Chaoyue Niu, Fan Wu, Shaojie Tang, Leihao Pei, Chengfei Lv, Guihai Chen:
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks. EMNLP (Findings) 2024: 3156-3171 - [c6]Hongyun Yu
, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. ACM Multimedia 2024: 3548-3557 - [c5]Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang:
Making Language Models Better Tool Learners with Execution Feedback. NAACL-HLT 2024: 3550-3568 - [i13]Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen:
AUTOACT: Automatic Agent Learning from Scratch via Self-Planning. CoRR abs/2401.05268 (2024) - [i12]Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lv, Xiaowei Zhou:
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination. CoRR abs/2404.11593 (2024) - [i11]Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. CoRR abs/2404.14037 (2024) - [i10]Shuichang Lai, Letian Huang, Jie Guo, Kai Cheng, Bowen Pan, Xiaoxiao Long, Jiangjing Lyu, Chengfei Lv, Yanwen Guo:
GlossyGS: Inverse Rendering of Glossy Objects with 3D Gaussian Splatting. CoRR abs/2410.13349 (2024) - 2023
- [c4]Bowen Cai, Jinchi Huang, Rongfei Jia, Chengfei Lv, Huan Fu:
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction. CVPR 2023: 8476-8485 - [i9]Bowen Cai, Jinchi Huang, Rongfei Jia, Chengfei Lv, Huan Fu:
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction. CoRR abs/2303.02375 (2023) - [i8]Xiang Chen, Duanzheng Song, Honghao Gui, Chengxi Wang, Ningyu Zhang, Jiang Yong, Fei Huang, Chengfei Lv, Dan Zhang, Huajun Chen:
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. CoRR abs/2310.12086 (2023) - 2022
- [c3]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:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. OSDI 2022: 249-265 - [i7]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:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. CoRR abs/2205.14833 (2022) - 2021
- [c2]Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv:
Data-Free Evaluation of User Contributions in Federated Learning. WiOpt 2021: 81-88 - [i6]Hongtao Lv, Zhenzhe Zheng, Tie Luo, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv:
Data-Free Evaluation of User Contributions in Federated Learning. CoRR abs/2108.10623 (2021) - [i5]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lv, Yanghe Feng, Guihai Chen:
Federated Submodel Averaging. CoRR abs/2109.07704 (2021) - 2020
- [c1]Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Billion-scale federated learning on mobile clients: a submodel design with tunable privacy. MobiCom 2020: 31:1-31:14 - [i4]Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lv, Zhihua Wu:
MNN: A Universal and Efficient Inference Engine. CoRR abs/2002.12418 (2020) - [i3]Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv:
INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices. CoRR abs/2010.14841 (2020) - [i2]Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lv, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. CoRR abs/2012.10936 (2020)
2010 – 2019
- 2019
- [i1]Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen:
Secure Federated Submodel Learning. CoRR abs/1911.02254 (2019)
Coauthor Index
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last updated on 2024-11-25 22:47 CET by the dblp team
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