Music Plagiarism Detection via Bipartite Graph Matching. - Tianyao He; Wenxuan Liu; Chen Gong 006; Junchi Yan; Ning Zhang 040 (CoRR, 2021)

ODE: A Data Sampling Method for Practical Federated Learning with Streaming Data and Limited Buffer. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Bingshuai Li; Yunfeng Shao 001; Guihai Chen (CoRR, 2022)

Fine-Grained Music Plagiarism Detection: Revealing Plagiarists through Bipartite Graph Matching and a Comprehensive Large-Scale Dataset. - Wenxuan Liu; Tianyao He; Chen Gong 006; Ning Zhang 040; Hua Yang 001; Junchi Yan (ACM Multimedia, 2023)

To Store or Not? Online Data Selection for Federated Learning with Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Yunfeng Shao 001; Bingshuai Li; Guihai Chen (WWW, 2023)

Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning. - Chen Gong 006; Zhenzhe Zheng; Fan Wu 006; Xiaofeng Jia; Guihai Chen (MobiCom, 2024)

ODE: An Online Data Selection Framework for Federated Learning With Limited Storage. - Chen Gong 006; Zhenzhe Zheng; Yunfeng Shao 001; Bingshuai Li; Fan Wu 006; Guihai Chen (IEEE/ACM Trans. Netw., 2024)

Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. - Haibo Liu; Chen Gong 006; Zhenzhe Zheng; Shengzhong Liu; Fan Wu 006 (WWW, 2025)

A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices. - Chen Gong 006; Rui Xing 005; Zhenzhe Zheng; Fan Wu 006 (CoRR, 2025)