Hanyuan Zheng — accepted AI-conference papers

2026

Distribution-Aware Multi-Granularity Phase Coding: Towards Lower Conversion Error for Spike-Driven Large Language Models

Hanyuan Zheng, Haozhen Zhang, Tianshuo Chen, Zhaogeng Liu, Yi Chang, Bin Gu

ICLR 2026poster

Spiking large language models (LLMs) offer significant advantages on neuromorphic hardware, yet training them from scratch remains prohibitively expensive. A promising alternative is ANN-to-SNN conversion, which reuses pretrained ANN weights while minimizing conversion error. However, existing conv…

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2025

FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning

Baolu Xue, Hanyuan Zheng, Jiale Zhang, Jiewen Liu, Bing Chen

ICASSP 2025accepted

Federated Learning (FL) enables machine learning tasks to be performed on distributed data in a privacy-preserving manner, but faces challenges related to the heterogeneity of device systems. This necessitates the customization of resource requirements to accommodate the diverse capacities of partic…

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