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 | 423 | 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 | 338 | 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 | 288 | 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 | 265 | 2004 |
Rateless coding over fading channels J Castura, Y Mao IEEE communications letters 10 (1), 46-48, 2006 | 246 | 2006 |
Augmenting data with mixup for sentence classification: An empirical study H Guo, Y Mao, R Zhang arXiv preprint arXiv:1905.08941, 2019 | 245 | 2019 |
Rateless coding for wireless relay channels J Castura, Y Mao Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005 | 220 | 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 | 151 | 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 | 146 | 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 | 126 | 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 | 113 | 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 | 92 | 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 | 85 | 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 | 82 | 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 | 70 | 2022 |
Rateless coding and relay networks J Castura, Y Mao IEEE Signal Processing Magazine 24 (5), 27-35, 2007 | 70 | 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 | 63 | 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 | 60 | 2018 |
Normal factor graphs and holographic transformations A Al-Bashabsheh, Y Mao IEEE Transactions on Information Theory 57 (2), 752-763, 2011 | 58 | 2011 |
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 | 57 | 2022 |