Chengfei Lyu - RankMe

18 papers A* 6Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VIAFormer: Voxel-Image Alignment Transformer for High-Fidelity Voxel Refinement. CoRR Tiancheng Fang, Bowen Pan, Lingxi Chen, Jiangjing Lyu, Chengfei Lyu, Chaoyue Niu, Fan Wu
2025	J	`jnl`	CORE: Reducing UI Exposure in Mobile Agents via Collaboration Between Cloud and Local LLMs. CoRR Gucongcong Fan, Chaoyue Niu, Chengfei Lyu, Fan Wu, Guihai Chen
2025	J	`jnl`	Dens3R: A Foundation Model for 3D Geometry Prediction. CoRR Xianze Fang, Jingnan Gao, Zhe Wang, Zhuo Chen, Xingyu Ren, Jiangjing Lyu, Qiaomu Ren, Zhonglei Yang, Xiaokang Yang, Yichao Yan, Chengfei Lyu
2025	J	`jnl`	MatMart: Material Reconstruction of 3D Objects via Diffusion. CoRR Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu, Xinguo Liu, Jie Guo, Yanwen Guo, Weiwei Xu, Chengfei Lyu
2025	J	`jnl`	StableIntrinsic: Detail-preserving One-step Diffusion Model for Multi-view Material Estimation. CoRR Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu, Xinguo Liu, Jie Guo, Yanwen Guo, Weiwei Xu, Chengfei Lyu
2024	A*	`conf`	Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. KDD Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
2024	A*	`conf`	FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. IJCAI Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen
2024	J	`jnl`	Federated Optimization Under Intermittent Client Availability. INFORMS J. Comput. Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen
2023	J	`jnl`	DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models. CoRR Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
2023	A*	`conf`	Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding. ICDM Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang, Fan Wu
2022	A*	`conf`	Federated Submodel Optimization for Hot and Cold Data Features. NeurIPS Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Yanghe Feng, Guihai Chen
2022	J	`jnl`	From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. ACM Comput. Surv. Renjie Gu, Chaoyue Niu, Fan Wu, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu
2022	A*	`conf`	On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. KDD Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen
2022	J	`jnl`	On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. CoRR Renjie Gu, Chaoyue Niu, Yikai Yan, Fan Wu, Shaojie Tang, Rongfeng Jia, Chengfei Lyu, Guihai Chen
2022	J	`jnl`	On-Device Model Fine-Tuning with Label Correction in Recommender Systems. CoRR Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
2022	J	`jnl`	One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design. CoRR Yikai Yan, Chaoyue Niu, Fan Wu, Qinya Li, Shaojie Tang, Chengfei Lyu, Guihai Chen
2021	A*	`conf`	Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen
2020	—	`conf`	MNN: A Universal and Efficient Inference Engine. MLSys Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lyu, Zhihua Wu