东北大学主页平台杨松--Home--Paper Publications

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With Certificate of Graduation for Doctorate Study

荷兰代尔夫特理工大学

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Date of Employment:2026-07-15

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X. Yue, S. Yang*, F. Li, Y. Li, and Y. Wang, Rocket: Warming Serverless Inference via Hierarchical ML Artifact Pre-loading and Sharing, IEEE INFOCOM 2026 (CCF A 类推荐会议).
B. Hou, S. Yang*, Y. Li, F. Li, L. Zhu, X.Chen and R. Yahyapour, Cetus: Online Context-aware Cross-layer Coordination for Efficient Live Volumetric Video Streaming, IEEE Transactions on Networking, 2026 (CCF A类推荐期刊).
Y. Gao, S. Yang*, F. Li, Y. Li, L. Zhu, S. Trajanovski, X.Fu, Efficient and Flexible Multi-Qubit Entanglement Transmission in Quantum Networks, IEEE Transactions on Networking, 2026 (CCF A类推荐期刊).
W. Xu, S. Yang*, F. Li, L. Zhu, K. Zhu, X. Chen, and Y. Wang, Parachute: Dynamic Resource-Aware Privacy-Preserving Video Analytics on Edge, IEEE Internet of Things Journal, 2026 (中科院一区).
X. Yue, S. Yang*, F.Li, L.Zhu, X.Wang, Z.Feng, F.A.Kuipers, HyFaaS: Accelerating Serverless Workflows by Unleashing Hybrid Resource Elasticity, IEEE Transactions on Parallel and Distributed Systems, 2026 (CCF A类推荐期刊).
N. Khodjamov, S. Yang*, K. Sharif, Y.Gao, F. Li, Y. Wang, S. Mamarasulov, L. Zhu, Blockchain-Based Secure Trusted Clusters for Multi-Tiered Social IoT Environments in Edge-Cloud Networks, Elsevier Journal of Computer networks, 2025 (CCF B类推荐期刊).
T. Bai, H. Zhao, Z. Wang, B. Hou, S. Yang, A. Nallanathan, Cost-Efficient End-Edge-Cloud Collaboration for Real-Time Multi-Task Video Analytics, IEEE Journal on Selected Areas in Communications, 2025 (CCF A类推荐期刊).
J. Tang, X. Ma, S.Yang*, Y. Xiang and Z. Zhou, Transfer Learning Assisted Detection of Anomalous Events with Insufficient Primary Attribute Data Samples in MEC Networks, in IEEE Transactions on Mobile Computing, 2025 (CCF A类推荐期刊).
J. Tang, J. Jin, W. Zhao, S.Yang*, Y. Xiang and Z. Zhou, User On-demand Driven MEC Servers Deployment from Collaborative Device-Edge-Cloud Network, in IEEE Transactions on Services Computing, 2025 (CCF A类推荐期刊).
N. He, Y. Chen, Z. Jiang, S. Yang, L. Sun, DynFed: Adaptive Federated Learning via Quantization-Aware Knowledge Distillation, ACM MM 2025（CCF A类推荐会议）.

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