Haohan Wang
Title
Cited by
Cited by
Year
On the Origin of Deep Learning
H Wang, B Raj
arXiv preprint arXiv:1702.07800, 2017
174*2017
Select-additive learning: Improving generalization in multimodal sentiment analysis
H Wang, A Meghawat, LP Morency, EP Xing
2017 IEEE International Conference on Multimedia and Expo (ICME), 949-954, 2017
832017
Learning structure in gene expression data using deep architectures, with an application to gene clustering
A Gupta, H Wang, M Ganapathiraju
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
552015
Learning robust representations by projecting superficial statistics out
H Wang, Z He, ZC Lipton, EP Xing
arXiv preprint arXiv:1903.06256, 2019
492019
Deep learning for genomics: A concise overview
T Yue, H Wang
arXiv preprint arXiv:1802.00810, 2018
492018
High-frequency component helps explain the generalization of convolutional neural networks
H Wang, X Wu, Z Huang, EP Xing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
412020
Unlearn dataset bias in natural language inference by fitting the residual
H He, S Zha, H Wang
arXiv preprint arXiv:1908.10763, 2019
392019
Rumor propagation dynamic model based on evolutionary game and anti-rumor
Y Xiao, D Chen, S Wei, Q Li, H Wang, M Xu
Nonlinear Dynamics 95 (1), 523-539, 2019
362019
Precision lasso: Accounting for correlations and linear dependencies in high-dimensional genomic data
H Wang, BJ Lengerich, B Aragam, EP Xing, O Stegle
Bioinformatics, 2018
362018
Using EEG to Improve Massive Open Online Courses Feedback Interaction.
H Wang, Y Li, X Hu, Y Yang, Z Meng, K Chang
AIED Workshops, 2013
322013
Learning robust global representations by penalizing local predictive power
H Wang, S Ge, EP Xing, ZC Lipton
arXiv preprint arXiv:1905.13549, 2019
312019
Multimodal transfer deep learning for audio visual recognition
S Moon, S Kim, H Wang
NIPS MMML Workshop, 2015, 2014
30*2014
3-HBP: A three-level hidden Bayesian link prediction model in social networks
Y Xiao, X Li, H Wang, M Xu, Y Liu
IEEE Transactions on Computational Social Systems 5 (2), 430-443, 2018
212018
Discovery of critical nodes in road networks through mining from vehicle trajectories
M Xu, J Wu, M Liu, Y Xiao, H Wang, D Hu
IEEE Transactions on Intelligent Transportation Systems 20 (2), 583-593, 2018
202018
What if we simply swap the two text fragments? A straightforward yet effective way to test the robustness of methods to confounding signals in nature language inference tasks
H Wang, D Sun, EP Xing
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7136-7143, 2019
15*2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications
H Wang, Z Wu, EP Xing
arXiv preprint arXiv:1803.07276, 2018
15*2018
Multiple Confounders Correction with Regularized Linear Mixed Effect Models with Application in Biological Processes
H Wang, J Yang
Bioinformatics and Biomedicine (BIBM), 2016 IEEE International Conference on, 2016
142016
Variable selection in heterogeneous datasets: A truncated-rank sparse linear mixed model with applications to genome-wide association studies
H Wang, B Aragam, EP Xing
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017
132017
Behavior analysis of low-literate users of a viral speech-based telephone service
H Wang, AA Raza, Y Lin, R Rosenfeld
Proceedings of the 4th Annual Symposium on Computing for Development, 1-9, 2013
132013
Self-challenging improves cross-domain generalization
Z Huang, H Wang, EP Xing, D Huang
arXiv preprint arXiv:2007.02454 2, 2020
92020
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