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Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.

J. Li, H. Shao, D. Sun, R. Wang, Y. Yan, J. Li, S. Liu, H. Tong, and T. Abdelzaher. SIGIR, page 1728-1738. ACM, (2022)

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Hua Shao

Li Shao

Hua Shao

Junyang Shao

Yaping Shao

Other publications of authors with the same name

Simulation Evaluation of Fuel-Saving Systems in the City of Chicago.Y. Zhao, S. Yao, D. Liu, H. Shao, S. Liu, and T. Abdelzaher. ICCCN, page 1-9. IEEE, (2019)SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications.S. Yao, Y. Zhao, H. Shao, D. Liu, S. Liu, Y. Hao, A. Piao, S. Hu, S. Lu, and T. Abdelzaher. INFOCOM, page 1243-1251. IEEE, (2019)Condensed Prototype Replay for Class Incremental Learning.J. Kong, Z. Zong, T. Zhou, and H. Shao. CoRR, (2023)RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.S. Yao, Y. Zhao, H. Shao, A. Zhang, C. Zhang, S. Li, and T. Abdelzaher. CoRR, (2017)NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models.C. Qian, X. Li, Q. Wang, G. Zhou, and H. Shao. CoRR, (2024)DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.R. Wang, Z. Huang, S. Liu, H. Shao, D. Liu, J. Li, T. Wang, D. Sun, S. Yao, and T. Abdelzaher. SIGIR, page 163-172. ACM, (2021)Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity.C. Heinbaugh, E. Luz-Ricca, and H. Shao. ICLR, OpenReview.net, (2023)A Constrained Maximum Likelihood Estimator for Unguided Social Sensing.H. Shao, S. Yao, Y. Zhao, C. Zhang, J. Han, L. Kaplan, L. Su, and T. Abdelzaher. INFOCOM, page 2429-2437. IEEE, (2018)GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction.Y. Zhao, S. Li, S. Hu, L. Su, S. Yao, H. Shao, H. Wang, and T. Abdelzaher. ICCPS, page 229-238. ACM, (2017)STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.S. Yao, A. Piao, W. Jiang, Y. Zhao, H. Shao, S. Liu, D. Liu, J. Li, T. Wang, S. Hu and 3 other author(s). WWW, page 2192-2202. ACM, (2019)

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Disambiguation of "Shao, Huajie"

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Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.

Please choose a person to relate this publication to

Hua Shao

Li Shao

Hua Shao

Junyang Shao

Yaping Shao

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shao, Huajie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.

Please choose a person to relate this publication to

Hua Shao

Li Shao

Hua Shao

Junyang Shao

Yaping Shao

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders.