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Chengfei Lyu
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2020 – today
- 2024
- [j2]Yikai Yan
, Chaoyue Niu
Federated Optimization Under Intermittent Client Availability. INFORMS J. Comput. 36(1): 185-202 (2024) - [c7]Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen:
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. IJCAI 2024: 6216-6224 - [c6]Yucheng Ding
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. KDD 2024: 597-608 - 2023
- [c5]Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang, Fan Wu:
Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding. ICDM 2023: 1571-1576 - [i4]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models. CoRR abs/2303.10361 (2023) - 2022
- [j1]Renjie Gu
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. ACM Comput. Surv. 54(1): 6:1-6:36 (2022) - [c4]Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen:
On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. KDD 2022: 2180-2190 - [c3]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Yanghe Feng, Guihai Chen:
Federated Submodel Optimization for Hot and Cold Data Features. NeurIPS 2022 - [i3]Renjie Gu, Chaoyue Niu, Yikai Yan, Fan Wu, Shaojie Tang, Rongfeng Jia, Chengfei Lyu, Guihai Chen:
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. CoRR abs/2201.10382 (2022) - [i2]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
On-Device Model Fine-Tuning with Label Correction in Recommender Systems. CoRR abs/2211.01163 (2022) - [i1]Yikai Yan, Chaoyue Niu, Fan Wu, Qinya Li, Shaojie Tang, Chengfei Lyu, Guihai Chen:
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design. CoRR abs/2211.06276 (2022) - 2021
- [c2]Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang
Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI 2021: 10560-10567 - 2020
- [c1]Xiaotang Jiang, Huan Wang, Yiliu Chen, Ziqi Wu, Lichuan Wang, Bin Zou, Yafeng Yang, Zongyang Cui, Yu Cai, Tianhang Yu, Chengfei Lyu, Zhihua Wu:
MNN: A Universal and Efficient Inference Engine. MLSys 2020
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