Ting-Hao (Kenneth) Huang 黃挺豪
Tenure-Track Assistant Professor
College of Information Sciences and Technology (IST)
Pennsylvania State University (University Park)
We are hiring! Come work with us!
I combine AI with crowdsourcing to create systems that are more usable, robust, and intelligent.
- Office: E357 Westgate Building
- Office Hour: 1pm-2pm Mon (Spring 2019)
- Email: txh710@psu.edu
- Curriculum Vitae (CV)
- Google Scholar
- Twitter: @windx0303
- Website: KennethHuang.cc
News
- The paper, "Smell Pittsburgh: Community-Empowered Mobile Smell Reporting System", won the Outstanding Paper Award in IUI 2019!
- Our demo paper, "Dixit: Interactive Visual Storytelling via Term Manipulation", is accepted by TheWebConf 2019.
- Our extended abstract, "On How Users Edit Computer-Generated Visual Stories", is accepted by #CHI2019 Late-Breaking-Work. This is the FIRST PAPER from Crowd-AI Lab!
- The 2nd Storytelling Workshop #StoryNLP2019 (co-organized by Margaret Mitchell, Francis Ferraro, Stephanie Lukin, and myself) will be an one-day event at ACL 2019. See you in Florence!
Teaching
- Crowdsourcing & Crowd-AI Systems (IST 597, Spring 2019)
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 TimeTing-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.Best Paper Honorable Mention Award (101/2500 = 5%)
- 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 CrowdsourcingTing-Hao K. Huang, Jeffrey P. Bigham.In Proceedings of The fifth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), 2017, Quebec City, Canada.
- 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 AgentTing-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]
- 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 APIsTing-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.
- 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 ExtractionTing-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.
- I developed the Visual Storytelling Dataset during my summer internship at Microsoft Research in 2015.
Visual StorytellingTing-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.
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.