Research output per year
Research output per year
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Dive into the research topics where Hao Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Artificial intelligence-enabled detection and assessment of Parkinson’s disease using nocturnal breathing signals
Yang, Y., Yuan, Y., Zhang, G., Wang, H., Chen, Y. C., Liu, Y., Tarolli, C. G., Crepeau, D., Bukartyk, J., Junna, M. R., Videnovic, A., Ellis, T. D., Lipford, M. C., Dorsey, R. & Katabi, D., Oct 2022, In: Nature medicine. 28, 10, p. 2207-2215 9 p.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations -
Bayesian Invariant Risk Minimization
Lin, Y., Dong, H., Wang, H. & Zhang, T., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 16000-16009 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Causal Transportability for Visual Recognition
Mao, C., Xia, K., Wang, J., Wang, H., Yang, J., Bareinboim, E. & Vondrick, C., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 7511-7521 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Scopus citations -
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond
Yang, Y., Wang, H. & Katabi, D., 2022, Computer Vision – ECCV 2022 - 17th European Conference, Proceedings. Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. & Hassner, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 57-75 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13680 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks
Lin, W., Lan, H., Wang, H. & Li, B., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 13719-13728 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations