Publications

Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng (2024). Federated Data-Efficient Instruction Tuning for Large Language Models. arXiv.

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

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

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

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

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

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

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

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Zhen Qin, Shuiguang Deng, Xueqiang Yan, Lu Lu, Mingyu Zhao, Yan Xi, Jianjun Wu, Tao Sun, Nanxiang Shi (2023). 6G Data Plane: A Novel Architecture Enabling Data Collaboration with Arbitrary Topology. MONET.

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Guobing Zou, Ya Liu, Zhen Qin, Jin Chen, Yanglan Gan, Bofeng Chang, Qiang He (2023). ST-EUA: Spatio-Temporal Edge User Allocation With Task Decomposition. IEEE TSC.

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