Ruiyang Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Atmospheric Turbulence

Qualitative Physics

Top Venues

Adv. Intell. Syst.

Publications

Junyu Zhou, Ruiyang Chen
Exploration of Cultural IP Image and Common Pattern Gene Extraction in Virtual Reality Design Interaction. HCI (23) (2024)
Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao, Pengju Ren
Differential-Matching Prefetcher for Indirect Memory Access. HPCA (2024)
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)
Tian Xia, Gelin Fu, Chenyang Li, Zhongpei Luo, Lucheng Zhang, Ruiyang Chen, Wenzhe Zhao, Nanning Zheng, Pengju Ren
A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao
Scientific Computing with Diffractive Optical Neural Networks. Adv. Intell. Syst. 5 (12) (2023)
Zhongbao Zhang, Shuai Gao, Sen Su, Li Sun, Ruiyang Chen
MINING: Multi-Granularity Network Alignment Based on Contrastive Learning. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao
Scientific Computing with Diffractive Optical Neural Networks. CoRR (2023)
Jing Zhou, Guang Li, Ruifeng Wang, Ruiyang Chen, Shouhua Luo
A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection. Entropy 25 (2) (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)
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)
Yingshan Shen, Weiwei Liu, Qiumei Wu, Ruiyang Chen, Kui Liu
Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion. SETE@ICWL (2019)