DeepWSC: A Novel Framework with Deep Neural Network for Web Service Clustering. - Guobing Zou; Zhen Qin 004; Qiang He 001; Pengwei Wang 001; Bofeng Zhang; Yanglan Gan (ICWS, 2019)

TD-EUA: Task-Decomposable Edge User Allocation with QoE Optimization. - Guobing Zou; Ya Liu; Zhen Qin 004; Jin Chen; Zhiwei Xu; Yanglan Gan; Bofeng Zhang; Qiang He 001 (ICSOC, 2020)

Towards the optimality of service instance selection in mobile edge computing. - Guobing Zou; Zhen Qin 004; Shuiguang Deng; Kuan-Ching Li; Yanglan Gan; Bofeng Zhang (Knowl. Based Syst., 2021)

Secure and Efficient Decentralized Federated Learning with Data Representation Protection. - Zhen Qin 004; Xueqiang Yan; Mengchu Zhou; Shuiguang Deng (CoRR, 2022)

DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features. - Guobing Zou; Zhen Qin 004; Qiang He 001; Pengwei Wang 001; Bofeng Zhang; Yanglan Gan (IEEE Trans. Serv. Comput., 2022)

FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity. - Zhen Qin 004; Shuiguang Deng; Mingyu Zhao; Xueqiang Yan (KDD, 2023)

PePNet: A Periodicity-Perceived Workload Prediction Network Supporting Rare Occurrence of Heavy Workload. - Feiyi Chen; Zhen Qin 004; Hailiang Zhao; Mengchu Zhou; Shuiguang Deng (CoRR, 2023)

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (CoRR, 2023)

ST-EUA: Spatio-Temporal Edge User Allocation With Task Decomposition. - Guobing Zou; Ya Liu; Zhen Qin 004; Jin Chen; Zhiwei Xu; Yanglan Gan; Bofeng Zhang; Qiang He 001 (IEEE Trans. Serv. Comput., 2023)

6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology. - Zhen Qin 004; Shuiguang Deng; Xueqiang Yan; Lu Lu 016; Mingyu Zhao; Yan Xi; Jianjun Wu; Tao Sun 010; Nanxiang Shi (Mob. Networks Appl., 2023)

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective. - Zhen Qin 004; Feiyi Chen; Chen Zhi; Xueqiang Yan; Shuiguang Deng (AAAI, 2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (ICDE, 2024)

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. - Zhen Qin 004; Daoyuan Chen; Bingchen Qian; Bolin Ding; Yaliang Li; Shuiguang Deng (ICML, 2024)

LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection. - Feiyi Chen; Zhen Qin 004; Mengchu Zhou; Yingying Zhang; Shuiguang Deng; Lunting Fan; Guansong Pang; Qingsong Wen (WWW, 2024)

BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework. - Zhen Qin 004; Xueqiang Yan; Mengchu Zhou; Shuiguang Deng (WWW, 2024)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. - Zhen Qin 004; Daoyuan Chen; Wenhao Zhang; Liuyi Yao; Yilun Huang 004; Bolin Ding; Yaliang Li; Shuiguang Deng (CoRR, 2024)

Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures. - Yicheng Zhang; Zhen Qin 004; Zhaomin Wu; Shuiguang Deng (CoRR, 2024)

Federated Data-Efficient Instruction Tuning for Large Language Models. - Zhen Qin 004; Zhaomin Wu; Bingsheng He; Shuiguang Deng (ACL (Findings), 2025)

ExploraCoder: Advancing Code Generation for Multiple Unseen APIs via Planning and Chained Exploration. - Yunkun Wang; Yue Zhang 004; Zhen Qin 004; Chen Zhi; Binhua Li; Fei Huang 002; Yongbin Li; Shuiguang Deng (ACL (1), 2025)

Disentangled progressive negative sampling for graph collaborative filtering recommendation. - Hewei Li; Xin Zhang 079; He Weng; Yingjie Shen; Kangkai Cai; Dongjing Wang; Zhen Qin 004; Shuiguang Deng (Knowl. Based Syst., 2025)

SeMi: When Imbalanced Semi-Supervised Learning Meets Mining Hard Examples. - Yin Wang 004; Zixuan Wang; Hao Lu 009; Zhen Qin 004; Hailiang Zhao; Guanjie Cheng; Ge Su; Li Kuang; Mengchu Zhou; Shuiguang Deng (CoRR, 2025)

Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. - Zhaomin Wu; Zhen Qin 004; Junyi Hou; Haodong Zhao; Qinbin Li; Bingsheng He; Lixin Fan (CoRR, 2025)