Hao Wang (machine learning)
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Hao Wang (machine learning) | |
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| Born | 1990 (age 33–34) |
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Hao Wang (Chinese: 王灏; born 1990) is a machine learning researcher. He is currently an Assistant Professor of Computer Science at Rutgers University,[1] where he runs the Machine Learning Lab.
Academic biography
He completed his undergraduate studies at Shanghai Jiao Tong University with an outstanding thesis award,[2] a PhD in Computer Science at The Hong Kong University of Science and Technology as the sole winner of the School of Engineering PhD Research Excellence Award for his thesis on Bayesian deep learning,[3] and postdoctoral training at MIT's Computer Science and Artificial Intelligence Laboratory working with Dina Katabi and Tommi Jaakkola on Bayesian deep learning and its application to healthcare.[4][5][6][7][8]
Awards
In 2015, he was awarded a Microsoft Fellowship in Asia and a Baidu Research Fellowship for his pioneering research on Bayesian deep learning and its application to recommender systems and data mining in general.[9][10] His work, Collaborative Deep Learning for Recommender Systems, as an instantiation of Bayesian deep learning in the recommender systems domain and the world's first deep hybrid recommender system, is the most cited article at ACM SIGKDD 2015.[11]
In 2017, he was the sole recipient of the School of Engineering PhD Research Excellence Award at The Hong Kong University of Science and Technology for his thesis on Bayesian deep learning.[12]
In 2020, he won the Amazon Faculty Research Award for his research on Bayesian deep learning and domain adaptation.[13]
References
- ↑ Hao, Wang. "Wang, Hao". www.cs.rutgers.edu. Retrieved 2023-06-08.
- ↑ "上海交通大学 实践教学学生成果展示平台". sjcg.jwc.sjtu.edu.cn. Retrieved 2023-06-08.
- ↑ "PhD Research Excellence Recognized in SENG Award 2017-18 | HKUST School of Engineering". seng.hkust.edu.hk. Retrieved 2023-06-08.
- ↑ author. "Hao Wang, Assistant Professor, Rutgers CS". people.csail.mit.edu. Retrieved 2023-06-08.
{{cite web}}:|last=has generic name (help) - ↑ "Filling the gaps in a patient's medical data". MIT News | Massachusetts Institute of Technology. 2019-01-25. Retrieved 2023-06-08.
- ↑ Zhao, Mingmin; Hoti, Kreshnik; Wang, Hao; Raghu, Aniruddh; Katabi, Dina (April 2021). "Assessment of medication self-administration using artificial intelligence". Nature Medicine. 27 (4): 727–735. doi:10.1038/s41591-021-01273-1. ISSN 1546-170X. PMID 33737750.
- ↑ "Monitoring sleep positions for a healthy rest". MIT News | Massachusetts Institute of Technology. 2020-09-11. Retrieved 2023-06-08.
- ↑ "System detects errors when medication is self-administered". MIT News | Massachusetts Institute of Technology. 2021-03-18. Retrieved 2023-06-08.
- ↑ "Fellowship at Microsoft Research Asia". Microsoft Research. Retrieved 2023-06-08.
- ↑ "2015百度奖学金获奖者王灏_科技频道_中华网". tech.china.com. Retrieved 2023-06-08.
- ↑ Wang, Hao; Wang, Naiyan; Yeung, Dit-Yan (2015-08-10). "Collaborative Deep Learning for Recommender Systems". Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '15. New York, NY, USA: Association for Computing Machinery: 1235–1244. doi:10.1145/2783258.2783273. ISBN 978-1-4503-3664-2.
- ↑ "PhD Research Excellence Recognized in SENG Award 2017-18 | HKUST School of Engineering". seng.hkust.edu.hk. Retrieved 2023-06-08.
- ↑ "2020 Amazon Research Awards recipients announced". Amazon Science. 2021-04-27. Retrieved 2023-06-08.
External links
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