Ruiyang Chen

According to our database, Ruiyang Chen authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Differential-Matching Prefetcher for Indirect Memory Access.

Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao, Pengju Ren

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning.

Zhongbao Zhang, Shuai Gao, Sen Su, Li Sun, Ruiyang Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Scientific Computing with Diffractive Optical Neural Networks.

Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao

Adv. Intell. Syst., December, 2023

A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization.

Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Lucheng Zhang, Ruiyang Chen, Wenzhe Zhao, Nanning Zheng, Pengju Ren

IEEE Trans. Parallel Distributed Syst., February, 2023

A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection.

Jing Zhou, Guang Li, Ruifeng Wang, Ruiyang Chen, Shouhua Luo

Entropy, February, 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

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

2019

Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion.

Yingshan Shen, Weiwei Liu, Qiumei Wu, Ruiyang Chen, Kui Liu

Proceedings of the Emerging Technologies for Education - 4th International Symposium, 2019