Shengli Hu (胡绳丽)

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Bio

Avartar
Shengli Hu received her PhD from Cornell University in 2019, and has since been an AI research scientist with Dataminr Inc. in New York City. Her research experience and interests lie in intersdisciplinary research bridging social sciences, computational linguistics, computer vision, and speech. She has published in top conferences and journals in natural language processing, computer vision, speech, and applied statistics including Association of Computational Linguistics (ACL), Empirical Methods in Natural Language Processing (EMNLP), European Conference on Computer Vision (ECCV), Computer Vision and Pattern Recognition (CVPR), InterSpeech, and Annals of Applied Statistics (AoAS). Her research works have been featured in spotlight talks, and nominated for Best Paper Awards.

She is also a wine professional with credentials including Diploma in Wine with Merit by Wine and Spirits Education Trust (WSET), Certified Sommelier by The Court of Master Sommelier, Certified Specialist of Wine by The Society of Wine Educators, and Certified Specialist of Spirits by The Society of Wine Educators. She authored the book Neural Networks and Nebbiolo: Artificial Intelligence for Wine, with its online platform AI FOR WINE (under active development), released in September 2021. She is studying for Master of Wine by the Institute of Master of Wine.

My whereabouts...

  1. Detecting Domain-specific Expertise and Credibility in Text and Speech at 2020 Virtual InterSpeech, Oct. 2020.
  2. Multimodal Categorization of Crisis Events in Social Media at 2020 Virtual CVPR, June. 2020.
  3. Detecting Concealed Information in Text and Speech at 2019 Annual Conference of the Association for Computational Linguistics, July. 2019. Florence, Italy.
  4. Somm: Into the Model at 2018 Conference on Empirical Methods in Natural Language Processing, Nov. 2018. Brussels, Belgium.
  5. Understanding Visual and Conceptual Fluency at a Large Scale at European Conference on Computer Vision, Sep. 2018. Munich, Germany.
  6. Information Design and Audience Experience at Int'l Conference of Information Systems. Dec. 2017, Seoul, South Korea.
  7. Understanding Visual and Conceptual Fluency at a Large Scale at ICCV, Mutual Benefits of Cognitive and Computer Vision. Oct. 2017. Venice, Italy.
  8. Spotlight talk at Natural Language Processing and Computational Social Science (NLP+CSS) Workshop, ACL . Aug. 2017, Vancouver, Canada. Presented by Tianze Shi.
  9. Information Design and Audience Experience at Marketing Science Conference. June. 2017, Los Angeles, CA.
  10. Information Design and Audience Experience at Trans Atlantic Doctoral Conference, May. 2017, London, UK.
  11. Dynamics of crowdsourcing platforms at INFORMS. Oct. 2013, Minneapolis, MN.
  12. Managing Green Supply: Carbon Labeling in Supply Chains at INFORMS Int'l. July. 2012, Beijing, China.