Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices. - Weilu Gao; Cunxi Yu; Ruiyang Chen (CoRR, 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)

Physics-Aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. - Yingjie Li; Ruiyang Chen; Weilu Gao; Cunxi Yu (ICCAD, 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)

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)

Perfectly Perform Machine Learning Task with Imperfect Optical Hardware Accelerator. - Jichao Fan; Yingheng Tang; Weilu Gao (CoRR, 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)

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 (ASPLOS (4), 2023)

Physics-aware Roughness Optimization for Diffractive Optical Neural Networks. - Shanglin Zhou; Yingjie Li; Minhan Lou; Weilu Gao; Zhijie Shi; Cunxi Yu; Caiwen Ding (DAC, 2023)

Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture. - Yingjie Li; Weilu Gao; Cunxi Yu (CoRR, 2023)

Universal Approach for Calibrating Large-Scale Electronic and Photonic Crossbar Arrays. - Jichao Fan; Yingheng Tang; Weilu Gao (Adv. Intell. Syst., 2023)

Scientific Computing with Diffractive Optical Neural Networks. - Ruiyang Chen; Yingheng Tang; Jianzhu Ma; Weilu Gao (Adv. Intell. Syst., 2023)

MatterChat: A Multi-Modal LLM for Material Science. - Yingheng Tang; Wenbin Xu; Jie Cao 010; Jianzhu Ma; Weilu Gao; Steve Farrell; N. Benjamin Erichson; Michael W. Mahoney; Andy Nonaka; Zhi Yao (CoRR, 2025)