Chengfei Lyu

According to our database, Chengfei Lyu authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

VIAFormer: Voxel-Image Alignment Transformer for High-Fidelity Voxel Refinement.

Tiancheng Fang, Bowen Pan, Lingxi Chen, Jiangjing Lyu, Chengfei Lyu, Chaoyue Niu, Fan Wu

CoRR, January, 2026

2025

MatMart: Material Reconstruction of 3D Objects via Diffusion.

Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu, Xinguo Liu, Jie Guo, Yanwen Guo, Weiwei Xu, Chengfei Lyu

CoRR, November, 2025

CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs.

Gucongcong Fan, Chaoyue Niu, Chengfei Lyu, Fan Wu, Guihai Chen

CoRR, October, 2025

StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation.

Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu, Xinguo Liu, Jie Guo, Yanwen Guo, Weiwei Xu, Chengfei Lyu

CoRR, August, 2025

Dens3R: A Foundation Model for 3D Geometry Prediction.

Xianze Fang, Jingnan Gao, Zhe Wang, Zhuo Chen, Xingyu Ren, Jiangjing Lyu, Qiaomu Ren, Zhonglei Yang, Xiaokang Yang, Yichao Yan, Chengfei Lyu

CoRR, July, 2025

FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance.

Ying Li, Chengfei Lyu, Huan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Federated Optimization Under Intermittent Client Availability.

Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen

INFORMS J. Comput., 2024

Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions.

Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FactCHD: Benchmarking Fact-Conflicting Hallucination Detection.

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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models.

Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen

CoRR, 2023

Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding.

Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang, Fan Wu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey.

Renjie Gu, Chaoyue Niu, Fan Wu, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu

ACM Comput. Surv., 2022

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design.

Yikai Yan, Chaoyue Niu, Fan Wu, Qinya Li, Shaojie Tang, Chengfei Lyu, Guihai Chen

CoRR, 2022

On-Device Model Fine-Tuning with Label Correction in Recommender Systems.

Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen

CoRR, 2022

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems.

Renjie Gu, Chaoyue Niu, Yikai Yan, Fan Wu, Shaojie Tang, Rongfeng Jia, Chengfei Lyu, Guihai Chen

CoRR, 2022

Federated Submodel Optimization for Hot and Cold Data Features.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption.

Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Toward Understanding the Influence of Individual Clients in Federated Learning.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

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 Lyu, Zhihua Wu

Proceedings of the Third Conference on Machine Learning and Systems, 2020