An Efficient, Privacy-Preserving, and Verifiable Online Auction Mechanism for Ad Exchanges. - Minping Zhou; Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Guihai Chen (GLOBECOM, 2015)

Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. - Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (ICDE, 2017)

ERA: Towards privacy preservation and verifiability for online ad exchanges. - Chaoyue Niu; Minping Zhou; Zhenzhe Zheng; Fan Wu 006; Guihai Chen (J. Netw. Comput. Appl., 2017)

Unlocking the Value of Privacy: Trading Aggregate Statistics over Private Correlated Data. - Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Shaojie Tang 001; Xiaofeng Gao 001; Guihai Chen (KDD, 2018)

Making Big Money from Small Sensors: Trading Time-Series Data under Pufferfish Privacy. - Chaoyue Niu; Zhenzhe Zheng; Shaojie Tang 001; Xiaofeng Gao 001; Fan Wu 006 (INFOCOM, 2019)

Secure Federated Submodel Learning. - Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Rongfei Jia; Chengfei Lv; Zhihua Wu; Guihai Chen (CoRR, 2019)

Achieving Data Truthfulness and Privacy Preservation in Data Markets. - Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Xiaofeng Gao 001; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2019)

Low-viewpoint forest depth dataset for sparse rover swarms. - Chaoyue Niu; Danesh Tarapore; Klaus-Peter Zauner (IROS, 2020)

Billion-scale federated learning on mobile clients: a submodel design with tunable privacy. - Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Rongfei Jia; Chengfei Lv; Zhihua Wu; Guihai Chen (MobiCom, 2020)

Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability. - Yikai Yan; Chaoyue Niu; Yucheng Ding; Zhenzhe Zheng; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Zhihua Wu (CoRR, 2020)

Distributed Optimization over Block-Cyclic Data. - Yucheng Ding; Chaoyue Niu; Yikai Yan; Zhenzhe Zheng; Fan Wu 006; Guihai Chen; Shaojie Tang 001; Rongfei Jia (CoRR, 2020)

Toward Understanding the Influence of Individual Clients in Federated Learning. - Yihao Xue; Chaoyue Niu; Zhenzhe Zheng; Shaojie Tang 001; Chengfei Lv; Fan Wu 006; Guihai Chen (CoRR, 2020)

Toward Understanding the Influence of Individual Clients in Federated Learning. - Yihao Xue; Chaoyue Niu; Zhenzhe Zheng; Shaojie Tang 001; Chengfei Lyu; Fan Wu 006; Guihai Chen (AAAI, 2021)

Federated Submodel Averaging. - Yucheng Ding; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Chengfei Lv; Yanghe Feng; Guihai Chen (CoRR, 2021)

ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. - Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Shaojie Tang 001; Xiaofeng Gao 001; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2021)

On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. - Yikai Yan; Chaoyue Niu; Renjie Gu; Fan Wu 006; Shaojie Tang 001; Lifeng Hua; Chengfei Lyu; Guihai Chen (KDD, 2022)

Federated Submodel Optimization for Hot and Cold Data Features. - Yucheng Ding; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Chengfei Lyu; Yanghe Feng; Guihai Chen (NeurIPS, 2022)

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. - Chengfei Lv; Chaoyue Niu; Renjie Gu; Xiaotang Jiang; Zhaode Wang; Bin Liu; Ziqi Wu; Qiulin Yao; Congyu Huang; Panos Huang; Tao Huang; Hui Shu; et al. (OSDI, 2022)

On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. - Renjie Gu; Chaoyue Niu; Yikai Yan; Fan Wu 006; Shaojie Tang 001; Rongfeng Jia; Chengfei Lyu; Guihai Chen (CoRR, 2022)

On-Device Model Fine-Tuning with Label Correction in Recommender Systems. - Yucheng Ding; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Chengfei Lyu; Guihai Chen (CoRR, 2022)

One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design. - Yikai Yan; Chaoyue Niu; Fan Wu 006; Qinya Li; Shaojie Tang 001; Chengfei Lyu; Guihai Chen (CoRR, 2022)

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey. - Renjie Gu; Chaoyue Niu; Fan Wu 006; Guihai Chen; Chun Hu; Chengfei Lyu; Zhihua Wu (ACM Comput. Surv., 2022)

Pricing GAN-based data generators under Rényi differential privacy. - Xikun Jiang; Chaoyue Niu; Chenhao Ying 001; Fan Wu 006; Yuan Luo 003 (Inf. Sci., 2022)

Toward Verifiable and Privacy Preserving Machine Learning Prediction. - Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Shuai Ma 001; Guihai Chen (IEEE Trans. Dependable Secur. Comput., 2022)

Online Pricing With Reserve Price Constraint for Personal Data Markets. - Chaoyue Niu; Zhenzhe Zheng; Fan Wu 006; Shaojie Tang 001; Guihai Chen (IEEE Trans. Knowl. Data Eng., 2022)

KVSAgg: Secure Aggregation of Distributed Key-Value Sets. - Yuhan Wu 001; Siyuan Dong; Yi Zhou; Yikai Zhao 001; Fangcheng Fu; Tong Yang 003; Chaoyue Niu; Fan Wu 006; Bin Cui 001 (ICDE, 2023)

Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding. - Yufei Zhu; Chaoyue Niu; Yikai Yan; Zhijie Cao; Hao Jiang; Chengfei Lyu; Shaojie Tang 001; Fan Wu 006 (ICDM, 2023)

DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models. - Yucheng Ding; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Chengfei Lyu; Guihai Chen (CoRR, 2023)

An embarrassingly simple approach for visual navigation of forest environments. - Chaoyue Niu; Callum Newlands; Klaus-Peter Zauner; Danesh Tarapore (Frontiers Robotics AI, 2023)

Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training. - Yangwenjian Tan; Yikai Yan; Chaoyue Niu (ACML, 2024)

A Novel Spindle Speed and Angle Estimation Strategy in Multi-material Robotic Drilling. - Bin Chen; Chaoyue Niu; Erica Smith; Rob Bramley; Pete Crawforth; Mahdi Mahfouf; Visakan Kadirkamanathan (CASE, 2024)

MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization. - Jimin Xu; Tianbao Wang; Tao Jin 004; Shengyu Zhang 001; Dongjie Fu; Zhe Wang; Jiangjing Lyu; Chengfei Lv; Chaoyue Niu; Zhou Yu 001; Zhou Zhao 001; Fei Wu 001 (CVPR, 2024)

BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks. - Hang Zeng; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Leihao Pei; Chengfei Lv; Guihai Chen (EMNLP (Findings), 2024)

Pixel-based Hole Quality Evaluation in Robot Drilling Manufacturing Process. - Chaoyue Niu; Bin Chen; Erica Smith; Robert Bramley; Pete Crawforth; Mahdi Mahfouf; Visakan Kadirkamanathan (INDIN, 2024)

Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. - Yucheng Ding; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Chengfei Lyu; Guihai Chen (KDD, 2024)

An End-to-End, Low-Cost, and High-Fidelity 3D Video Pipeline for Mobile Devices. - Tiancheng Fang; Chaoyue Niu; Yujie Sun; Chengfei Lv; Xiaotang Jiang; Ben Xue; Fan Wu 006; Guihai Chen (MobiCom, 2024)

Edge-Cloud Routing for Text-to-Image Model with Token-Level Multi-Metric Prediction. - Zewei Xin; Qinya Li; Chaoyue Niu; Fan Wu 006 (CoRR, 2024)

Personalized LLM for Generating Customized Responses to the Same Query from Different Users. - Hang Zeng; Chaoyue Niu; Fan Wu 006; Chengfei Lv; Guihai Chen (CoRR, 2024)

Federated Optimization Under Intermittent Client Availability. - Yikai Yan; Chaoyue Niu; Yucheng Ding; Zhenzhe Zheng; Shaojie Tang 001; Qinya Li; Fan Wu 006; Chengfei Lyu; Yanghe Feng; Guihai Chen (INFORMS J. Comput., 2024)

Waving Hand as Infrared Source for Ubiquitous Gas Sensing. - Zimo Liao; Meng Jin 002; Shun An; Chaoyue Niu; Fan Wu 006; Tao Deng; Guihai Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Active Client Selection for Clustered Federated Learning. - Honglan Huang; Wei Shi; Yanghe Feng; Chaoyue Niu; Guangquan Cheng; Jincai Huang 001; Zhong Liu 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Personalized Language Model Learning on Text Data Without User Identifiers. - Yucheng Ding; Yangwenjian Tan; Xiangyu Liu; Chaoyue Niu; Fandong Meng; Jie Zhou 016; Ning Liu; Fan Wu 006; Guihai Chen (KDD (1), 2025)

CEFSW'25: The 2nd Collaboration and Evolution of Foundation and Specialized Models Workshop. - Shengyu Zhang 001; Fan Yao; Yujie Lu; Chaoyue Niu; Hongxia Yang; Fan Wu 006; Fei Wu 001 (ICMR, 2025)

Federated multi-task learning with cross-device heterogeneous task subsets. - Zewei Xin; Qinya Li; Chaoyue Niu; Fan Wu 006; Guihai Chen (J. Parallel Distributed Comput., 2025)

Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions. - Chaoyue Niu; Yucheng Ding; Junhui Lu; Zhengxiang Huang; Hang Zeng; Yutong Dai 005; Xuezhen Tu; Chengfei Lv; Fan Wu 006; Guihai Chen (CoRR, 2025)

Automated Privacy Information Annotation in Large Language Model Interactions. - Hang Zeng; Xiangyu Liu; Yong Hu; Chaoyue Niu; Fan Wu 006; Shaojie Tang 001; Guihai Chen (CoRR, 2025)

Query Routing for Retrieval-Augmented Language Models. - Jiarui Zhang; Xiangyu Liu; Yong Hu; Chaoyue Niu; Fan Wu 006; Guihai Chen (CoRR, 2025)

MNN-AECS: Energy Optimization for LLM Decoding on Mobile Devices via Adaptive Core Selection. - Zhengxiang Huang; Chaoyue Niu; Zhaode Wang; Jiarui Xue; Hanming Zhang; Yugang Wang; Zewei Xin; Xiaotang Jiang; Chengfei Lv; Fan Wu 006; Guihai Chen (CoRR, 2025)