Publications

辛继灏, Marco Canini, Peter Richtárik, Samuel Horváth (2025). Quantize Once, Train Fast: Allreduce-Compatible Compression with Provable Guarantees. ECAI (CCF B).

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Jian Weng, Boyang Han, Derui Gao, Ruijie Gao, Wanning Zhang, Ceyu Xu, 辛继灏, Yangzhixin Luo, Lisa Wu Wills, Marco Canini (2025). Assassyn: A Unified Abstraction for Architectural Simulation and Implementation. ISCA (CCF A).

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辛继灏, Marco Canini, Peter Richtárik, Samuel Horváth (2025). Global QSGD: Allreduce-Compatible Quantization for Distributed Learning with Theoretical Guarantees. EuroMLSys (EuroSys Workshop).

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辛继灏, Seongjong Bae, KyoungSoo Park, Marco Canini, Changho Hwang (2024). Immediate Communication for Distributed AI Tasks. HotInfra (SOSP Workshop).

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辛继灏, Ivan Ilin, Shunkang Zhang, Marco Canini, Peter Richtárik (2023). Kimad: Adaptive Gradient Compression with Bandwidth Awareness. DistributedML (CoNEXT Workshop).

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Mingxuan Mao, Xinying Feng, 辛继灏, Tommy W. S. Chow (2022). A Convolutional Neural Network Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array. TIM (JCR Q1).

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Nian Xue, Daojing Guo, Jie Zhang, 辛继灏, Zhen Li, Xin Huang (2021). OpenFunction for Software Defined IoT. ISNCC (Best Paper Award).

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