Yongyi Mao
Yongyi Mao
Professor of Electrical Engineering and Computer Science, University of Ottawa
Verified email at - Homepage
Cited by
Cited by
Aspect-level sentiment analysis via convolution over dependency tree
K Sun, R Zhang, S Mensah, Y Mao, X Liu
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
Mixup as locally linear out-of-manifold regularization
H Guo, Y Mao, R Zhang
Proceedings of the AAAI conference on artificial intelligence 33 (01), 3714-3722, 2019
A heuristic search for good low-density parity-check codes at short block lengths
Y Mao, AH Banihashemi
ICC 2001. IEEE International Conference on Communications. Conference Record …, 2001
Informatics platform for global proteomic profiling and biomarker discovery using liquid chromatography-tandem mass spectrometry
D Radulovic, S Jelveh, S Ryu, TG Hamilton, E Foss, Y Mao, A Emili
Molecular & cellular proteomics 3 (10), 984-997, 2004
Augmenting data with mixup for sentence classification: An empirical study
H Guo, Y Mao, R Zhang
arXiv preprint arXiv:1905.08941, 2019
Rateless coding over fading channels
J Castura, Y Mao
IEEE communications letters 10 (1), 46-48, 2006
Rateless coding for wireless relay channels
J Castura, Y Mao
Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005
Eukaryotic protein domains as functional units of cellular evolution
J Jin, X Xie, C Chen, JG Park, C Stark, DA James, M Olhovsky, R Linding, ...
Science signaling 2 (98), ra76-ra76, 2009
A factor graph approach to link loss monitoring in wireless sensor networks
Y Mao, FR Kschischang, B Li, S Pasupathy
IEEE Journal on Selected Areas in Communications 23 (4), 820-829, 2005
On the representation and embedding of knowledge bases beyond binary relations
J Wen, J Li, Y Mao, S Chen, R Zhang
arXiv preprint arXiv:1604.08642, 2016
Decoding low-density parity-check codes with probabilistic schedule
Y Mao, AH Banihashemi
2001 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2001
Regularizing neural networks via adversarial model perturbation
Y Zheng, R Zhang, Y Mao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
On the design of raptor codes for binary-input Gaussian channels
Z Cheng, J Castura, Y Mao
IEEE Transactions on Communications 57 (11), 3269-3277, 2009
Scalable instance reconstruction in knowledge bases via relatedness affiliated embedding
R Zhang, J Li, J Mei, Y Mao
Proceedings of the 2018 world wide web conference, 1185-1194, 2018
Dual contrastive learning: Text classification via label-aware data augmentation
Q Chen, R Zhang, Y Zheng, Y Mao
arXiv preprint arXiv:2201.08702, 2022
Rateless coding and relay networks
J Castura, Y Mao
IEEE Signal Processing Magazine 24 (5), 27-35, 2007
On rateless coding over fading channels with delay constraints
J Castura, Y Mao, S Draper
2006 IEEE International Symposium on Information Theory, 1124-1128, 2006
Syntax encoding with application in authorship attribution
R Zhang, Z Hu, H Guo, Y Mao
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
Contrastnet: A contrastive learning framework for few-shot text classification
J Chen, R Zhang, Y Mao, J Xu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10492 …, 2022
Normal factor graphs and holographic transformations
A Al-Bashabsheh, Y Mao
IEEE Transactions on Information Theory 57 (2), 752-763, 2011
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