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Haohan Wang
Haohan Wang
School of Information Sciences, University of Illinois Urbana-Champaign
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
On the Origin of Deep Learning
H Wang, B Raj
arXiv preprint arXiv:1702.07800, 2017
353*2017
Self-challenging improves cross-domain generalization
H Wang, Z Huang, EP Xing, D Huang
European Conference on Computer Vision, 124-140, 2020
3132020
Learning robust global representations by penalizing local predictive power
H Wang, S Ge, Z Lipton, EP Xing
Advances in Neural Information Processing Systems 32, 2019
3112019
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
3002020
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
171*2017
Learning robust representations by projecting superficial statistics out
H Wang, Z He, ZC Lipton, EP Xing
arXiv preprint arXiv:1903.06256, 2019
1612019
Unlearn dataset bias in natural language inference by fitting the residual
H He, S Zha, H Wang
arXiv preprint arXiv:1908.10763, 2019
1372019
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
1082018
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, 523-539, 2019
912019
Deep learning for genomics: A concise overview
T Yue, H Wang
arXiv preprint arXiv:1802.00810, 2018
892018
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
792015
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
722013
Multimodal transfer deep learning for audio visual recognition
S Moon, S Kim, H Wang
NIPS MMML Workshop, 2015, 2014
56*2014
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
472018
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
432018
Robust contrastive learning using negative samples with diminished semantics
S Ge, S Mishra, CL Li, H Wang, D Jacobs
Advances in Neural Information Processing Systems 34, 27356-27368, 2021
322021
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
27*2019
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
272018
Anomaly detection in road networks using sliding-window tensor factorization
M Xu, J Wu, H Wang, M Cao
IEEE Transactions on Intelligent Transportation Systems 20 (12), 4704-4713, 2019
222019
Measure and Improve Robustness in NLP Models: A Survey
X Wang, H Wang, D Yang
NAACL 2022, 2021
212021
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