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2010.09—2014.06?北京航空航天大學(xué)?學(xué)士

2014.09—2020.06?中國(guó)科學(xué)院計(jì)算技術(shù)研究所?博士

2020.07—2023.09?中國(guó)科學(xué)院計(jì)算技術(shù)研究所?特別研究助理?

2023.09—至今????中國(guó)科學(xué)院計(jì)算技術(shù)研究所?副研究員

學(xué)術(shù)論文：

[1]?Sheng Sun, Zengqi Zhang, Quyang Pan, Min Liu, Yuwei Wang, Tianliu He, Yali Chen, and Zhiyuan Wu. Staleness-Controlled Asynchronous Federated Learning: Accuracy and Efficiency Tradeoff. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A類(lèi)期刊)

[2]?Xujing Li, Sheng Sun, Min Liu, Ju Ren, Xuefeng Jiang, Tianliu He. FedCRAC: Improving Federated Classification Performance on Long-Tailed Data via Classifier Representation Adjustment and Calibration. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A類(lèi)期刊)

[3]?Jingjing Xue, Sheng Sun, Min Liu, Qi Li, Ke Xu. Enhancing Federated Learning Robustness using Locally Benignity-Assessable Bayesian Dropout. IEEE Transactions on Information Forensics and Security (TIFS), 2025. (CCF-A類(lèi)期刊)

[4]?Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Zhuotao Liu, Jingyuan Wang. Learnable Sparse Customization for Heterogeneous Federated Learning. IEEE International Conference on Data Engineering (ICDE), 2025. (CCF-A類(lèi)會(huì)議)

[5]?Qingxiang Liu, Sheng Sun, Yuxuan Liang, Jingjing Xue, Min Liu. Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025. (CCF-A類(lèi)會(huì)議)

[6]?Jingjing Xue, Sheng Sun, Min Liu, Yuwei Wang, Xuying Meng, Jingyuan Wang, JunBo Zhang, Ke Xu. Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2025. (CCF-A類(lèi)期刊)

[7]?Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Quyang Pan, Tianliu He, Xuefeng Jiang. “Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration”, IEEE International Conference on Computer Communications (INFOCOM), 2024. (CCF-A類(lèi)會(huì)議).

[8]?Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu. FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A類(lèi)期刊)

[9]?Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Quyang Pan, Xuefeng Jiang, Bo Gao. “FedICT: Federated Multi-task Distillation for Multi-access Edge Computing”, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2023. (CCF-A類(lèi)期刊)

[10]?Yu Yan, Sheng Sun, Zixiang Tang, Teli Liu, Min Liu. Collaborative Stance Detection via Small-Large Language Model Consistency Verification. Proceedings of the 30th International Conference on Database Systems for Advanced Applications (DASFAA), 2025. (CCF-B類(lèi)會(huì)議)

[11]?Xuefeng Jiang, Sheng Sun, Jia Li, Jingjing Xue, Runhan Li, Zhiyuan Wu, Gang Xu, Yuwei Wang, Min Liu. Tackling Noisy Clients in Federated Learning with End-to-end Label Correction. Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), 2024. (CCF-B類(lèi)會(huì)議)

[12]?Qingxiang Liu, Sheng Sun, Min Liu, Yuwei Wang, Bo Gao. Online Spatio-Temporal Correlation-Based Federated Learning for Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems (TITS), 2024. (CCF-B類(lèi)期刊)

[13]?JingjingXue, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang. FedBIAD: Communication- Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout. Proceedings of the International Parallel & Distributed Processing Symposium (IPDPS), 2023. (CCF-B類(lèi)會(huì)議)

[14]?Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang. FedTrip: A Resource Efficient Federated Learning Method with Triplet Regularization. Proceedings of the International Parallel & Distributed Processing Symposium (IPDPS), 2023. (CCF-B類(lèi)會(huì)議)

專(zhuān)利及國(guó)內(nèi)外標(biāo)準(zhǔn)：

[15]?發(fā)明專(zhuān)利：基于LLaMA大語(yǔ)言模型的智能合約漏洞檢測(cè)方法和裝置，2024-10-30

[16]?發(fā)明專(zhuān)利：基于聯(lián)邦學(xué)習(xí)的區(qū)塊鏈網(wǎng)絡(luò)層流量異常檢測(cè)方法和裝置，2024-10-30

[17]?發(fā)明專(zhuān)利：一種交通流量預(yù)測(cè)模型的在線聯(lián)邦學(xué)習(xí)方法，2024-06-14

[18]?發(fā)明專(zhuān)利：一種基于深度神經(jīng)網(wǎng)絡(luò)的邊緣計(jì)算任務(wù)的分配方法及裝置，2021-06-25

[19]?國(guó)際標(biāo)準(zhǔn)：F.DEC-CFL: Technical framework and requirements for device-edge-cloud collaborative federated learning

[20]?國(guó)際標(biāo)準(zhǔn)：Technical framework for deep neural network model partition and collaborative execution

1、國(guó)家重點(diǎn)研發(fā)計(jì)劃課題：基于區(qū)塊鏈的大規(guī)模分布式可信智能計(jì)算關(guān)鍵技術(shù)及應(yīng)用，2023-12-01—2026-11-30??

2、國(guó)家重點(diǎn)研發(fā)計(jì)劃課題：基于時(shí)間敏感網(wǎng)絡(luò)的跨模態(tài)實(shí)時(shí)可靠通信，2021-12-01—2025-11-30

3、國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目：面向無(wú)人系統(tǒng)的網(wǎng)絡(luò)協(xié)同理論與技術(shù)，2018-01-01—2022-12-31

4、國(guó)家自然科學(xué)基金面上項(xiàng)目：無(wú)人機(jī)集群高效魯棒的聯(lián)邦學(xué)習(xí)技術(shù)研究，2025-01-01—2028-12-31

5、國(guó)家自然科學(xué)基金面上項(xiàng)目：邊緣智能中的端邊設(shè)備協(xié)同計(jì)算方法研究，2021-01-01—2024-12-31

6、華為企業(yè)合作項(xiàng)目：MindSpore網(wǎng)絡(luò)模型與創(chuàng)新合作項(xiàng)目，2020.12—2021.12

[1]?2024年度“CCF科技成果獎(jiǎng)”科技進(jìn)步一等獎(jiǎng)

[2]?2023年度中國(guó)通信標(biāo)準(zhǔn)化協(xié)會(huì)科學(xué)技術(shù)三等獎(jiǎng)

[3]?2020年度國(guó)際電信聯(lián)盟（ITU）AI/ML in 5G全球技術(shù)挑戰(zhàn)賽銀獎(jiǎng)（全球62個(gè)國(guó)家911個(gè)參賽隊(duì)排名并列第3）