Haohan Wang 个人学术档案 - 学术资源搜索

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Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
Bhiksha RajCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Dong HuangSenior Project Scientist, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge在 cmu.edu 的电子邮件经过验证
Louis-Philippe MorencyAssociate professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Yong Jae LeeAssociate Professor of Computer Sciences, UW-Madison在 wisc.edu 的电子邮件经过验证
Wei WuSenior Systems Scientist, School of Computer Science, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Madhavi GanapathirajuAssociate Professor of Biomedical Informatics and Intelligent Systems, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Ben LengerichMIT, Broad Institute在 mit.edu 的电子邮件经过验证
He HeNew York University在 cs.nyu.edu 的电子邮件经过验证
Seungwhan MoonFacebook, Carnegie Mellon University在 fb.com 的电子邮件经过验证
Suyoun KimResearch Scientist, Facebook在 fb.com 的电子邮件经过验证
Min XuCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Roni RosenfeldProfessor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Agha Ali RazaAssistant Professor, Lahore University of Management Sciences (LUMS), Lahore, Pakistan.在 lums.edu.pk 的电子邮件经过验证
William W. CohenCMU and Google DeepMind在 google.com 的电子邮件经过验证
Jun ZhuProfessor of Computer Science, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
Ivet BaharDirector, Laufer Center for Physical & Quantitative Biology, Stony Brook University在 pitt.edu 的电子邮件经过验证

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Haohan Wang

School of Information Sciences, University of Illinois Urbana-Champaign

在 illinois.edu 的电子邮件经过验证 - 首页

Computational Biology Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	727	2019
Self-challenging improves cross-domain generalization H Wang, Z Huang, EP Xing, D Huang European Conference on Computer Vision, 124-140, 2020	597	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	545	2020
On the Origin of Deep Learning H Wang, B Raj arXiv preprint arXiv:1702.07800, 2017	453*	2017
Learning robust representations by projecting superficial statistics out H Wang, Z He, ZC Lipton, EP Xing arXiv preprint arXiv:1903.06256, 2019	235	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	210*	2017
Unlearn dataset bias in natural language inference by fitting the residual H He, S Zha, H Wang arXiv preprint arXiv:1908.10763, 2019	190	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	144	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	126	2019
Deep learning for genomics: A concise overview T Yue, H Wang arXiv preprint arXiv:1802.00810, 2018	108	2018
Measure and Improve Robustness in NLP Models: A Survey X Wang, H Wang, D Yang NAACL 2022, 2021	101	2021
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	89	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
Multimodal transfer deep learning for audio visual recognition S Moon, S Kim, H Wang NIPS MMML Workshop, 2015, 2014	74*	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	68	2021
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	63	2018
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	56	2023
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	41	2023
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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