Ruiyang Chen

According to our database, Ruiyang Chen authored at least 21 papers between 2019 and 2025.

Collaborative distances:

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

2025

Fairness Evaluation of Large Language Models in Academic Library Reference Services.

Haining Wang, Jason A. Clark, Yueru Yan, Star Bradley, Ruiyang Chen, Yiqiong Zhang, Hengyi Fu, Zuoyu Tian

CoRR, July, 2025

Tracing the evolution of library and information science through three anchored dimensions: Library, people, and algorithm.

Renli Wu, Ruiyang Chen, Lu An, Chuanfu Chen

J. Informetrics, 2025

AI lifecycle from a data-driven perspective: a systematic review.

Di Wang, Ruiyang Chen, Chuanni Li, Shanshan Gu

Inf. Res., 2025

GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity.

Ruiyang Chen, Xing Li, Xiaoyao Liang, Zhuoran Song

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2025

SynGPU: Synergizing CUDA and Bit-Serial Tensor Cores for Vision Transformer Acceleration on GPU.

Yuanzheng Yao, Chen Zhang, Chunyu Qi, Ruiyang Chen, Jun Wang, Zhihui Fu, Naifeng Jing, Xiaoyao Liang, Zhuoran Song

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

MHDiff: Memory- and Hardware-Efficient Diffusion Acceleration via Focal Pixel Aware Quantization.

Chunyu Qi, Xuhang Wang, Ruiyang Chen, Yuanzheng Yao, Naifeng Jing, Chen Zhang, Jun Wang, Zhihui Fu, Xiaoyao Liang, Zhuoran Song

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity.

Ruiyang Chen, Xueyuan Liu, Chunyu Qi, Yuanzheng Yao, Yanan Sun, Xiaoyao Liang, Zhuoran Song

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

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

Exploration of Cultural IP Image and Common Pattern Gene Extraction in Virtual Reality Design Interaction.

Junyu Zhou, Ruiyang Chen

Proceedings of the Virtual, Augmented and Mixed Reality, 2024

Recon3D: High Quality 3D Reconstruction from a Single Image Using Generated Back-View Explicit Priors.

Ruiyang Chen, Mohan Yin, Jiawei Shen, Wei Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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