Haohan Wang

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Bhiksha RajCarnegie Mellon UniversityVerified email at cs.cmu.edu
Dong HuangSenior Project Scientist, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
Wei WuSenior Systems Scientist, School of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yong Jae LeeAssociate Professor of Computer Sciences, UW-MadisonVerified email at wisc.edu
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Madhavi GanapathirajuAssociate Professor of Biomedical Informatics and Intelligent Systems, University of PittsburghVerified email at pitt.edu
Ben LengerichUniversity of Wisconsin-MadisonVerified email at wisc.edu
He HeNew York UniversityVerified email at cs.nyu.edu
Seungwhan MoonFacebook, Carnegie Mellon UniversityVerified email at fb.com
Suyoun KimResearch Scientist, FacebookVerified email at fb.com
Min XuCarnegie Mellon UniversityVerified email at cs.cmu.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Agha Ali RazaAssistant Professor, Lahore University of Management Sciences (LUMS), Lahore, Pakistan.Verified email at lums.edu.pk
William W. CohenCMU and Google DeepMindVerified email at google.com
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Ivet BaharDirector, Laufer Center for Physical & Quantitative Biology, Stony Brook UniversityVerified email at pitt.edu

Haohan Wang

School of Information Sciences, University of Illinois Urbana-Champaign

Verified email at illinois.edu - Homepage

Computational Biology Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	812	2019
Self-challenging improves cross-domain generalization H Wang, Z Huang, EP Xing, D Huang European Conference on Computer Vision, 124-140, 2020	639	2020
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	583	2020
On the Origin of Deep Learning H Wang, B Raj arXiv preprint arXiv:1702.07800, 2017	478*	2017
Learning robust representations by projecting superficial statistics out H Wang, Z He, ZC Lipton, EP Xing arXiv preprint arXiv:1903.06256, 2019	246	2019
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	217*	2017
Unlearn dataset bias in natural language inference by fitting the residual H He, S Zha, H Wang arXiv preprint arXiv:1908.10763, 2019	196	2019
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	149	2018
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	131	2019
Measure and Improve Robustness in NLP Models: A Survey X Wang, H Wang, D Yang NAACL 2022, 2021	111	2021
Deep learning for genomics: A concise overview T Yue, H Wang arXiv preprint arXiv:1802.00810, 2018	109	2018
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	92	2013
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	85	2015
Efficiently leveraging multi-level user intent for session-based recommendation via atten-mixer network P Zhang, J Guo, C Li, Y Xie, JB Kim, Y Zhang, X Xie, H Wang, S Kim Proceedings of the sixteenth ACM international conference on web search and …, 2023	76	2023
Multimodal transfer deep learning for audio visual recognition S Moon, S Kim, H Wang NIPS MMML Workshop, 2015, 2014	76*	2014
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	72	2021
Language agent tree search unifies reasoning acting and planning in language models A Zhou, K Yan, M Shlapentokh-Rothman, H Wang, YX Wang arXiv preprint arXiv:2310.04406, 2023	65	2023
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	64	2018
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	64	2018
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	36	2018

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