Zhu, Hanqing

5 publications

NeurIPS 2024 PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan

NeurIPS 2023 Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Pan

NeurIPS 2022 NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane Boning, David Pan

NeurIPS 2021 L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient In-Situ Subspace Optimization Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray Chen, David Pan

ICCV 2021 Towards Memory-Efficient Neural Networks via Multi-Level in Situ Generation Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan