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Fast-tunable Graphene-based AWGR for Deep Learning Training Networks.

S. Zhang, X. Xue, B. Guo, Y. Li, W. Li, S. Shen, H. Qian, X. Yin, B. Wei, G. Yuan, X. Tang, and S. Huang. HotOptics@SIGCOMM, ACM, (2024)

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Yixuan Xie

Li Li

Other publications of authors with the same name

Robust Out-of-distribution Detection in Neural Networks.J. Chen, Y. Li, X. Wu, Y. Liang, and S. Jha. CoRR, (2020)I2P-Rec: Recognizing Images on Large-Scale Point Cloud Maps Through Bird's Eye View Projections.S. Zheng, Y. Li, Z. Yu, B. Yu, S. Cao, M. Wang, J. Xu, R. Ai, W. Gu, L. Luo and 1 other author(s). IROS, page 1395-1400. (2023)NDN Based Plug-n-Play and Secure Remote Health Monitoring System.P. Kar, Y. Dong, Y. Li, X. Ma, X. Ding, and Y. Wang. ICC, page 1-6. IEEE, (2021)Random Forest Based Multi-View Fighting Detection with Direction Consistency Feature Extraction.X. Wang, C. Yao, X. Su, J. Dong, and Y. Li. iThings/GreenCom/CPSCom/SmartData/Cybermatics, page 558-563. IEEE, (2020)On the Impact of Spurious Correlation for Out-of-Distribution Detection.Y. Ming, H. Yin, and Y. Li. AAAI, page 10051-10059. AAAI Press, (2022)A Simulated Annealing Genetic Algorithm for Logistics Distribution Problem in Community Scenario.Y. Yang, J. Zhu, H. Huang, and Y. Li. CSCWD, page 708-713. IEEE, (2021)Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment.Y. Sun, Y. Liu, X. Liu, Y. Li, and W. Chu. CVPR, page 24563-24574. IEEE, (2023)Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection.R. Uppaal, J. Hu, and Y. Li. ACL (1), page 12813-12832. Association for Computational Linguistics, (2023)Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.H. Bai, G. Canal, X. Du, J. Kwon, R. Nowak, and Y. Li. ICML, volume 202 of Proceedings of Machine Learning Research, page 1454-1471. PMLR, (2023)When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis.Y. Sun, Z. Shi, Y. Liang, and Y. Li. ICML, volume 202 of Proceedings of Machine Learning Research, page 33014-33043. PMLR, (2023)

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Disambiguation of "Li, Yixuan"

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Fast-tunable Graphene-based AWGR for Deep Learning Training Networks.

Please choose a person to relate this publication to

Yixuan Xie

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Yixuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fast-tunable Graphene-based AWGR for Deep Learning Training Networks.

Please choose a person to relate this publication to

Yixuan Xie

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Fast-tunable Graphene-based AWGR for Deep Learning Training Networks.