Weilu Gao

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 16

Top Topics

Atmospheric Turbulence

Discrete Geometry

Scientific Computing

Top Venues

Adv. Intell. Syst.

Nat. Comput. Sci.

Publications

Yingjie Li, Ruiyang Chen, Minhan Lou, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu
LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks. ASPLOS (4) (2023)
Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao
Scientific Computing with Diffractive Optical Neural Networks. Adv. Intell. Syst. 5 (12) (2023)
Jichao Fan, Yingheng Tang, Weilu Gao
Universal Approach for Calibrating Large-Scale Electronic and Photonic Crossbar Arrays. Adv. Intell. Syst. 5 (10) (2023)
Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. CoRR (2023)
Yingjie Li, Weilu Gao, Cunxi Yu
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture. CoRR (2023)
Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao
Scientific Computing with Diffractive Optical Neural Networks. CoRR (2023)
Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding
Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. DAC (2023)
Yingjie Li, Ruiyang Chen, Minhan Lou, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu
LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks. CoRR (2023)
Yingheng Tang, Princess Tara Zamani, Ruiyang Chen, Jianzhu Ma, Minghao Qi, Cunxi Yu, Weilu Gao
Device-system Co-design of Photonic Neuromorphic Processor using Reinforcement Learning. CoRR (2022)
Ruiyang Chen, Yingjie Li, Minhan Lou, Jichao Fan, Yingheng Tang, Berardi Sensale Rodriguez, Cunxi Yu, Weilu Gao
Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network. CoRR (2022)
Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. CoRR (2022)
Jichao Fan, Yingheng Tang, Weilu Gao
Perfectly Perform Machine Learning Task with Imperfect Optical Hardware Accelerator. CoRR (2022)
Yingheng Tang, Jichao Fan, Xinwei Li, Jianzhu Ma, Minghao Qi, Cunxi Yu, Weilu Gao
Physics-informed recurrent neural network for time dynamics in optical resonances. Nat. Comput. Sci. 2 (3) (2022)
Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu
Physics-Aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. ICCAD (2022)
Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu
Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design. CoRR (2020)
Weilu Gao, Cunxi Yu, Ruiyang Chen
Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices. CoRR (2020)