Weilu Gao

According to our database, Weilu Gao authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

All-Optical Segmentation via Diffractive Neural Networks for Autonomous Driving.

Yingjie Li, Daniel Robinson, Weilu Gao, Cunxi Yu

CoRR, February, 2026

Fracture interactive geodesic active contours for bone segmentation.

Liheng Wang, Licheng Zhang, Hailin Xu, Jingxin Zhao, Xiu-yun Su, Jiantao Li, Miutian Tang, Weilu Gao, Chong Chen

Pattern Recognit., 2026

2025

Fracture interactive geodesic active contours for bone segmentation.

Liheng Wang, Licheng Zhang, Hailin Xu, Jingxin Zhao, Xiuyun Su, Jiantao Li, Miutian Tang, Weilu Gao, Chong Chen

CoRR, September, 2025

MatterChat: A Multi-Modal LLM for Material Science.

Yingheng Tang, Wenbin Xu, Jie Cao, Jianzhu Ma, Weilu Gao, Steven Farrell, N. Benjamin Erichson, Michael W. Mahoney, Andy Nonaka, Zhi Yao

CoRR, February, 2025

2023

Scientific Computing with Diffractive Optical Neural Networks.

Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao

Adv. Intell. Syst., December, 2023

Universal Approach for Calibrating Large-Scale Electronic and Photonic Crossbar Arrays.

Jichao Fan, Yingheng Tang, Weilu Gao

Adv. Intell. Syst., October, 2023

Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture.

Yingjie Li, Weilu Gao, Cunxi Yu

CoRR, 2023

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks.

Shanglin Zhou, Yingjie Li, Minhan Lou, Weilu Gao, Zhijie Shi, Cunxi Yu, Caiwen Ding

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

LightRidge: An End-to-end Agile Design Framework for Diffractive Optical Neural Networks.

Yingjie Li, Ruiyang Chen, Minhan Lou, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Physics-informed recurrent neural network for time dynamics in optical resonances.

Yingheng Tang, Jichao Fan, Xinwei Li, Jianzhu Ma, Minghao Qi, Cunxi Yu, Weilu Gao

Nat. Comput. Sci., 2022

Perfectly Perform Machine Learning Task with Imperfect Optical Hardware Accelerator.

Jichao Fan, Yingheng Tang, Weilu Gao

CoRR, 2022

Device-system Co-design of Photonic Neuromorphic Processor using Reinforcement Learning.

Yingheng Tang, Princess Tara Zamani, Ruiyang Chen, Jianzhu Ma, Minghao Qi, Cunxi Yu, Weilu Gao

CoRR, 2022

Physics-aware Complex-valued Adversarial Machine Learning in Reconfigurable Diffractive All-optical Neural Network.

Ruiyang Chen, Yingjie Li, Minhan Lou, Jichao Fan, Yingheng Tang, Berardi Sensale Rodriguez, Cunxi Yu, Weilu Gao

CoRR, 2022

Physics-Aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks.

Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2020

Multi-Task Learning in Diffractive Deep Neural Networks via Hardware-Software Co-design.

Yingjie Li, Ruiyang Chen, Berardi Sensale Rodriguez, Weilu Gao, Cunxi Yu

CoRR, 2020

Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices.

Weilu Gao, Cunxi Yu, Ruiyang Chen

CoRR, 2020