Ting-Hao (Kenneth) Huang 黃挺豪

Tenure-Track Assistant Professor
College of Information Sciences and Technology (IST)
Pennsylvania State University (University Park)
Office: E357 Westgate Building
Email: txh710@psu.edu

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I combine AI with crowdsourcing to create systems that are more usable, robust, and intellegent.

Our Crowd-AI Lab is hiring. Come work with us!

• Curriculum Vitae (CV)
• Google Scholar

• Twitter: @windx0303
• Website: KennethHuang.cc

News

• IST welcomes new faculty as enrollment surges
• The Slides and Live QA note of CHI 2018 talk is up!
• I will join Penn State as a tenure-track assistant professor, starting Fall 2018.
• Evorus got an Honourable Mention Award (top 5%) at CHI 2018 ! You can watch the 30-second preview video of Evorus on-line now.
• Evorus is featured on WTAE-TV News: "Meet the 'Chorus' chatbot: Unlike Alexa or Siri, it's powered by actual people on the other end".

Selected Publications

• Evorus is a crowd-powered conversational assistant built to automate itself over time. Our 5-month-long deployment shows that Evorus can automate itself without compromising conversation quality.
  Evorus: A Crowd-Powered Conversational Assistant Built to Automate Itself Over Time

  Ting-Hao K. Huang, Joseph Chee Chang, Jeffrey P. Bigham.

  In Proceedings of Conference on Human Factors in Computing Systems 2018 (CHI 2018), 2018, Montréal, Canada.

  Media Coverage: [CMU News] [EurekAlert!] [TribLIVE] [pressetext] [WTAE TV News]

  Best Paper Honorable Mention Award (101/2500 = 5%)

  [Paper] [arXiv] [Video]
• Retainer is fast but costly, posting HIT is cheap but slow. Deployed Chorus uses Ignition to balance them.
  A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing

  Ting-Hao K. Huang, Jeffrey P. Bigham.

  In Proceedings of The fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), 2017, Quebec City, Canada.

  [Paper] [Official] [Slides] [Video Demo]
• Chorus was launched to public in May, 2016. The system details are described in our HCOMP 2016 paper.
  "Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

  Ting-Hao K. Huang, Walter S. Lasecki, Amos Azaria, Jeffrey P. Bigham.

  In Proceedings of Conference on Human Computation & Crowdsourcing (HCOMP 2016), 2016, Austin, TX, USA.

  Media Coverage: [The Register]

  [Paper] [arXiv] [Slides]
• We developed "Guardian" to convert an existent Web APIs to a dialog system by using crowdsourcing.
  Guardian: A Crowd-Powered Spoken Dialog System for Web APIs

  Ting-Hao K. Huang, Walter S Lasecki, Jeffrey P Bigham.

  In Proceedings of Conference on Human Computation & Crowdsourcing (HCOMP 2015), pages 62–71, November, 2015, San Diego, USA.

  [Paper] [Official] [BIB] [Slides]
• A group of crowd workers can reliably extract target entities on demand from a short dialog in an average of ~8 seconds.
  Real-time On-Demand Crowd-powered Entity Extraction

  Ting-Hao K. Huang, Yun-Nung Chen, Jeffrey P. Bigham.

  In Proceedings of the 5th Edition Of The Collective Intelligence Conference (CI 2017, oral presentation), 2017, New York University, NY, USA.

  [Paper] [arXiv] [Data & Code] [Interface Demo]
• I developed the Visual Storytelling Dataset during my summer internship at Microsoft Research in 2015.
  Visual Storytelling

  Ting-Hao K. Huang*, Francis Ferraro*, Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Aishwarya Agrawal, Ross Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, Larry Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley and Margaret Mitchell. (*: Co-first author.)

  In Proc. NAACL 2016, June, 2016, San Diego, CA, USA.

  Media Coverage: [MIT Technology Review] [The Stack] [Microsoft Official Blog] [Venture Beat] [WIRED UK]

  [Paper] [Poster] [Website]

Honors

• Best Paper Honorable Mention Award (101/2500 = 5%), CHI 2018.
• Best Paper Honorable Mention Award (14/281 = 5%), CHI LBW 2016.
• Yahoo! Fellowship of the InMind project at CMU, 2014 – Present.
• Best Poster Award, LTI Student Research Symposium 2013.