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Hanqing Zhu

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

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Nov 05, 2024
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INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers

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Jul 10, 2024
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LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation

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Jun 07, 2024
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M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference

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May 31, 2023
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Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning

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May 31, 2023
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Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers

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May 24, 2023
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NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation

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Sep 19, 2022
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Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search

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Feb 13, 2022
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ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement

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Dec 15, 2021
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Silicon photonic subspace neural chip for hardware-efficient deep learning

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Nov 11, 2021
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