Chaoyue Niu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Privacy Preservation

Weighted Averaging

Convex Optimization

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

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)
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) (2024)
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) (2024)
Chaoyue Niu, Callum Newlands, Klaus-Peter Zauner, Danesh Tarapore
An embarrassingly simple approach for visual navigation of forest environments. Frontiers Robotics AI 10 (2023)
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)
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models. CoRR (2023)
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)
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)
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)
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 (2022)
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
On-Device Model Fine-Tuning with Label Correction in Recommender Systems. CoRR (2022)
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) (2022)
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 (2022)
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 (2022)
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) (2022)
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)
Xikun Jiang, Chaoyue Niu, Chenhao Ying, Fan Wu, Yuan Luo
Pricing GAN-based data generators under Rényi differential privacy. Inf. Sci. 602 (2022)
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) (2021)
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lv, Yanghe Feng, Guihai Chen
Federated Submodel Averaging. CoRR (2021)
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) (2021)
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)
Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner
Low-viewpoint forest depth dataset for sparse rover swarms. CoRR (2020)
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)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
Online Pricing with Reserve Price Constraint for Personal Data Markets. ICDE (2020)
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 (2020)
Yucheng Ding, Chaoyue Niu, Yikai Yan, Zhenzhe Zheng, Fan Wu, Guihai Chen, Shaojie Tang, Rongfei Jia
Distributed Optimization over Block-Cyclic Data. CoRR (2020)
Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner
Depth estimation on embedded computers for robot swarms in forest. CoRR (2020)
Chaoyue Niu, Danesh Tarapore, Klaus-Peter Zauner
Low-viewpoint forest depth dataset for sparse rover swarms. IROS (2020)
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 (2020)
Chaoyue Niu, Fan Wu, Shaojie Tang, Lifeng Hua, Rongfei Jia, Chengfei Lv, Zhihua Wu, Guihai Chen
Secure Federated Submodel Learning. CoRR (2019)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
Online Pricing with Reserve Price Constraint for Personal Data Markets. CoRR (2019)
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)
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) (2019)
Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen
Achieving Data Truthfulness and Privacy Preservation in Data Markets. CoRR (2018)
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)
Chaoyue Niu, Minping Zhou, Zhenzhe Zheng, Fan Wu, Guihai Chen
ERA: Towards Privacy Preservation and Verifiability for Online Ad Exchanges. CoRR (2018)
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 (2017)
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)
Minping Zhou, Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Guihai Chen
An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. GLOBECOM (2015)