Draft:Hao Wang (scientist)

Hao Wang (Chinese: 王灏) is a machine learning researcher. He is currently an Assistant Professor of Computer Science at Rutgers University, where he runs the Machine Learning Lab.[1]

Academic biography

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Wang 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]

In 2015, he was awarded a Microsoft Fellowship in Asia[8] for his pioneering research on Bayesian deep learning and its application to recommender systems and data mining in general.[9] 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.[10]

In 2020, he won the Amazon Faculty Research Award for his research on Bayesian deep learning and domain adaptation.[11]

References

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  1. ^ Hao, Wang. "Wang, Hao". Rutgers University.
  2. ^ "上海交通大学 实践教学学生成果展示平台". Shanghai Jiao Tong University.
  3. ^ "PhD Research Excellence Recognized in SENG Award 2017-18 | HKUST School of Engineering". The Hong Kong University.
  4. ^ "Hao Wang, Assistant Professor, Rutgers CS". Massachusetts Institute of Technology.
  5. ^ "Filling the gaps in a patient's medical data". MIT News. 2019-01-25.
  6. ^ "Monitoring sleep positions for a healthy rest". MIT News. 2020-09-11.
  7. ^ "System detects errors when medication is self-administered". MIT News | Massachusetts Institute of Technology. 2021-03-18. Retrieved 2023-06-08.
  8. ^ "Fellowship at Microsoft Research Asia". Microsoft Research.
  9. ^ "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.
  10. ^ 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. pp. 1235–1244. doi:10.1145/2783258.2783273. ISBN 978-1-4503-3664-2. S2CID 4833213.
  11. ^ "2020 Amazon Research Awards recipients announced". Amazon Science. 2021-04-27.
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