Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion. - Yingshan Shen; Weiwei Liu; Qiumei Wu; Ruiyang Chen; Kui Liu (SETE@ICWL, 2019)

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)

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)

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, 2023)

A Comprehensive Performance Model of Sparse Matrix-Vector Multiplication to Guide Kernel Optimization. - Tian Xia 008; Gelin Fu; Chenyang Li; Zhongpei Luo; Lucheng Zhang; Ruiyang Chen; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (IEEE Trans. Parallel Distributed Syst., 2023)

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

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning. - Zhongbao Zhang; Shuai Gao; Sen Su; Li Sun 008; Ruiyang Chen (IEEE Trans. Knowl. Data Eng., 2023)

Recon3D: High Quality 3D Reconstruction from a Single Image Using Generated Back-View Explicit Priors. - Ruiyang Chen; Mohan Yin; Jiawei Shen; Wei Ma (CVPR Workshops, 2024)

Exploration of Cultural IP Image and Common Pattern Gene Extraction in Virtual Reality Design Interaction. - Junyu Zhou; Ruiyang Chen (HCI (23), 2024)

Differential-Matching Prefetcher for Indirect Memory Access. - Gelin Fu; Tian Xia 008; Zhongpei Luo; Ruiyang Chen; Wenzhe Zhao; Pengju Ren (HPCA, 2024)

SAGA: A Memory-Efficient Accelerator for GANN Construction via Harnessing Vertex Similarity. - Ruiyang Chen; Xueyuan Liu 001; Chunyu Qi; Yuanzheng Yao; Yanan Sun 003; Xiaoyao Liang; Zhuoran Song (DAC, 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 (DAC, 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 (DAC, 2025)

GIFTS: Efficient GCN Inference Framework on PyTorch-CPU via Exploring the Sparsity. - Ruiyang Chen; Xing Li 031; Xiaoyao Liang; Zhuoran Song (IPDPS, 2025)

AI lifecycle from a data-driven perspective: a systematic review. - Di Wang; Ruiyang Chen; Chuanni Li; Shanshan Gu (Inf. Res., 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)

Fairness Evaluation of Large Language Models in Academic Library Reference Services. - Haining Wang 005; Jason A. Clark; Yueru Yan; Star Bradley; Ruiyang Chen; Yiqiong Zhang; Hengyi Fu; Zuoyu Tian (CoRR, 2025)