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ORCIDChaoyue Niu
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2020 – today
- 2024
[j11]Zimo Liao
, Meng Jin, Shun An, Chaoyue Niu, Fan Wu, Tao Deng, Guihai Chen:
Waving Hand as Infrared Source for Ubiquitous Gas Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(2): 69:1-69:26 (2024)- [j10]Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen:
Federated Optimization Under Intermittent Client Availability. INFORMS J. Comput. 36(1): 185-202 (2024) - [j9]Honglan Huang, Wei Shi, Yanghe Feng, Chaoyue Niu, Guangquan Cheng, Jincai Huang, Zhong Liu:
Active Client Selection for Clustered Federated Learning. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16424-16438 (2024) - [c17]Bin Chen, Chaoyue Niu, Erica Smith, Rob Bramley, Pete Crawforth, Mahdi Mahfouf, Visakan Kadirkamanathan:
A Novel Spindle Speed and Angle Estimation Strategy in Multi-material Robotic Drilling. CASE 2024: 1222-1227 - [c16]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 - [c15]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 - [c14]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. KDD 2024: 597-608 - 2023
- [j8]Chaoyue Niu, Callum Newlands, Klaus-Peter Zauner, Danesh Tarapore:
An embarrassingly simple approach for visual navigation of forest environments. Frontiers Robotics AI 10 (2023) - [c13]Yuhan Wu, Siyuan Dong, Yi Zhou, Yikai Zhao, Fangcheng Fu, Tong Yang, Chaoyue Niu, Fan Wu, Bin Cui:
KVSAgg: Secure Aggregation of Distributed Key-Value Sets. ICDE 2023: 1775-1789 - [c12]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 - [i14]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
- [j7]Renjie Gu, Chaoyue Niu, Fan Wu, Guihai Chen, Chun Hu, Chengfei Lyu, Zhihua Wu:
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. ACM Comput. Surv. 54(1): 6:1-6:36 (2022) - [j6]Xikun Jiang, Chaoyue Niu, Chenhao Ying, Fan Wu, Yuan Luo:
Pricing GAN-based data generators under Rényi differential privacy. Inf. Sci. 602: 57-74 (2022) - [j5]Chaoyue Niu, Fan Wu, Shaojie Tang, Shuai Ma, Guihai Chen:
Toward Verifiable and Privacy Preserving Machine Learning Prediction. IEEE Trans. Dependable Secur. Comput. 19(3): 1703-1721 (2022) - [j4]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing With Reserve Price Constraint for Personal Data Markets. IEEE Trans. Knowl. Data Eng. 34(4): 1928-1943 (2022) - [c11]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 - [c10]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 - [c9]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 - [i13]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) - [i12]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) - [i11]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) - [i10]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
- [j3]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen:
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. IEEE Trans. Knowl. Data Eng. 33(3): 975-990 (2021) - [c8]Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. AAAI 2021: 10560-10567 - [i9]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lv, Yanghe Feng, Guihai Chen:
Federated Submodel Averaging. CoRR abs/2109.07704 (2021) - 2020
- [c7]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing with Reserve Price Constraint for Personal Data Markets. ICDE 2020: 1978-1981 - [c6]Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner:
Low-viewpoint forest depth dataset for sparse rover swarms. IROS 2020: 8035-8040 - [c5]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 - [i8]Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Zhihua Wu:
Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. CoRR abs/2002.07399 (2020) - [i7]Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia:
Distributed Optimization over Block-Cyclic Data. CoRR abs/2002.07454 (2020) - [i6]Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner:
Low-viewpoint forest depth dataset for sparse rover swarms. CoRR abs/2003.04359 (2020) - [i5]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
- [j2]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen:
Achieving Data Truthfulness and Privacy Preservation in Data Markets. IEEE Trans. Knowl. Data Eng. 31(1): 105-119 (2019) - [c4]Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Xiaofeng Gao, Fan Wu:
Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy. INFOCOM 2019: 568-576 - [i4]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) - [i3]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing with Reserve Price Constraint for Personal Data Markets. CoRR abs/1911.12598 (2019) - 2018
- [c3]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen:
Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. KDD 2018: 2031-2040 - [i2]Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen:
ERA: Towards Privacy Preservation and Verifiability for Online Ad Exchanges. CoRR abs/1804.01735 (2018) - [i1]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen:
Achieving Data Truthfulness and Privacy Preservation in Data Markets. CoRR abs/1812.03280 (2018) - 2017
- [j1]Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen:
ERA: Towards privacy preservation and verifiability for online ad exchanges. J. Netw. Comput. Appl. 98: 1-10 (2017) - [c2]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen:
Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. ICDE 2017: 223-226 - 2015
- [c1]Minping Zhou, Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Guihai Chen:
An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. GLOBECOM 2015: 1-6
Coauthor Index
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last updated on 2024-12-02 22:32 CET by the dblp team
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