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Ruiyang Chen
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2020 – today
- 2024
- [c6]Ruiyang Chen, Mohan Yin, Jiawei Shen, Wei Ma:
Recon3D: High Quality 3D Reconstruction from a Single Image Using Generated Back-View Explicit Priors. CVPR Workshops 2024: 2802-2811 - [c5]Junyu Zhou, Ruiyang Chen:
Exploration of Cultural IP Image and Common Pattern Gene Extraction in Virtual Reality Design Interaction. HCI (23) 2024: 301-311 - [c4]Gelin Fu, Tian Xia, Zhongpei Luo, Ruiyang Chen, Wenzhe Zhao, Pengju Ren:
Differential-Matching Prefetcher for Indirect Memory Access. HPCA 2024: 439-453 - 2023
- [j4]Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao:
Scientific Computing with Diffractive Optical Neural Networks. Adv. Intell. Syst. 5(12) (2023) - [j3]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): 268 (2023) - [j2]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): 12785-12798 (2023) - [j1]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): 519-534 (2023) - [c3]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: 202-218 - [i7]Ruiyang Chen, Yingheng Tang, Jianzhu Ma, Weilu Gao:
Scientific Computing with Diffractive Optical Neural Networks. CoRR abs/2302.10905 (2023) - [i6]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 abs/2306.11268 (2023) - 2022
- [c2]Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu:
Physics-Aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. ICCAD 2022: 7:1-7:9 - [i5]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 abs/2203.06055 (2022) - [i4]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 abs/2203.06061 (2022) - [i3]Yingjie Li, Ruiyang Chen, Weilu Gao, Cunxi Yu:
Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks. CoRR abs/2209.14252 (2022) - 2020
- [i2]Weilu Gao, Cunxi Yu, Ruiyang Chen:
Artificial Intelligence Accelerators based on Graphene Optoelectronic Devices. CoRR abs/2012.01979 (2020) - [i1]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 abs/2012.08906 (2020)
2010 – 2019
- 2019
- [c1]Yingshan Shen, Weiwei Liu, Qiumei Wu, Ruiyang Chen, Kui Liu:
Leveraging Neural Network for Online Learning Performance Prediction and Learning Suggestion. SETE@ICWL 2019: 267-279
Coauthor Index
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last updated on 2024-10-11 18:21 CEST by the dblp team
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