Newly Released arXiv Papers

  1. Inspo: Writing Stories with a Flock of AIs and Humans.
    Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Ting-Hao K. Huang.
    [arXiv]

Peer-Reviewed Conference Papers

  1. If in a Crowdsourced Data Annotation Pipeline, a GPT-4
    Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao K. Huang.
    Proc. 2024 ACM CHI conference on Human Factors in Computing Systems (CHI 2024). May 11-16, 2024. Honolulu, HI, USA.
    [arXiv]
  2. Location-Aware Visual Question Generation with Lightweight Models
    Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun Min Hung, Ting-Hao K. Huang, I-Bin Liao, Yung-Hui Li, Lun-Wei Ku, Shao-Hua Sun.
    Proc. the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). December 6-10. Singapore.
    [arXiv] [GitHub] [ACL Anthology]
  3. GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions
    Ting-Yao Hsu, Chieh-Yang Huang, Ryan Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang.
    Findings in the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023 Findings). December 6-10. Singapore.
    [arXiv] [ACL Anthology]
  4. Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
    Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao K. Huang, Dongwon Lee.
    Proceedings of the Eleventh AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023). November 6–9, 2023. Delft, Netherlands.
    [arXiv] [AAAI Publications]
  5. Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization
    Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao K. Huang.
    Proc. 16th International Natural Language Generation Conference (INLG 2023). September 11-15, 2023. Prague, Czech Republic.
    Best Long Paper Award, Top 3%
    Best Evaluation Paper Award Nomination, Top 10%
    [SciCap Challenge] [arXiv] [Twitter Thread] [ACL Anthology]
  6. Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles
    Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao K. Huang and Shomir Wilson.
    Proc. AAAI/ACM Conference on AI, Ethics, and Society 2023 (AIES 2023). August 8-10, 2023. Montreal, Canada.
    [Paper] [ACM DL]
  7. Nationality Bias in Text Generation
    Pranav Narayanan Venkit, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao K. Huang and Shomir Wilson.
    Proc. the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023). May 2-6, 2023. Dubrovnik, Croatia.
    [arXiv] [PDF] [Twitter Thread]
  8. Multi-VQG: Generating Engaging Questions for Multiple Images
    Min-Hsuan Yeh, Vincent Foster Chen, Ting-Hao K. Huang, Lun-Wei Ku.
    Proc. 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). December 7-11, 2022. Abu Dhabi.
  9. Are Shortest Rationales the Best Explanations For Human Understanding?
    Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao K. Huang.
    Proc. 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). May 22-27, 2022. Online and in Dublin.
  10. Learning to Rank Visual Stories From Human Ranking Data.
    Chi-Yang Hsu, Yun-Wei Chu, Vincent Chen, Kuan-Chieh Lo, Chacha Chen, Ting-Hao K. Huang, Lun-Wei Ku.
    Proc. 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022). May 22-27, 2022. Online and in Dublin.
  11. SciCap: Generating Captions for Scientific Figures.
    Ting-Yao (Edward) Hsu, C. Lee Giles, and Ting-Hao K. Huang.
    Findings of 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021 Findings). November 7-11, 2021. Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic.
    Poster Presentation at the 7th Workshop on Noisy User-generated Text (W-NUT 2021, together with EMNLP 2021)
  12. FinQA: A Dataset of Numerical Reasoning over Financial Data.
    Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao K. Huang, Bryan R. Routledge, and William Yang Wang.
    Proc. 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021). November 7-11, 2021. Online and in the Barceló Bávaro Convention Centre, Punta Cana, Dominican Republic.
  13. ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences.
    Yanjun Gao, Ting-Hao K. Huang and Rebecca J. Passonneau.
    Proc. Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021). August 2-4, 2021. Virtual Conference. (Acceptance Rate = 21%)
  14. Plot and Rework: Modeling Storylines for Visual Storytelling
    Chi-Yang Hsu, Yun-Wei Chu, Ting-Hao K. Huang and Lun-Wei Ku.
    Findings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021 Findings). August 2-4, 2021. Virtual Conference. (Acceptance Rate = 36%)
  15. Semantic Frame Forecast
    Chieh-Yang Huang, Ting-Hao K. Huang
    Proc. 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2021). June 6-11, 2021.
  16. Project RISE: Recognizing Industrial Smoke Emissions
    Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Randy Sargent, Illah Nourbakhsh
    Proc. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), AI for Social Impact Track. February 2-9, 2021. Virtual Conference. (Acceptance Rate = 21%)
  17. Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent
    Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao K. Huang, Lun-Wei Ku
    Proc. the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - 20, 2020. (Acceptance Rate = 22.4%)
  18. How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels
    Hua Shen, Ting-Hao K. Huang
    In Proceedings of the eighth AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2020), Oct 26–29 2020, Hilversum, NL.
  19. Heteroglossia: In-Situ Story Ideation with the Crowd
    Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao K. Huang
    Media Coverage: [PSU News]
    In Proceedings of Conference on Human Factors in Computing Systems 2020 (CHI 2020), 2020, Honolulu, Hawai'i, USA. (Acceptance Rate = 24.31%)
  20. Knowledge-Enriched Visual Storytelling
    Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao K. Huang, Lun-Wei Ku
    In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), February 7 - 12, 2020, New York, USA.
  21. Visual Story Post-Editing
    Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao K. Huang
    In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), July 28 - August 2, Florence, Italy.
  22. Smell Pittsburgh: Community-Empowered Mobile Smell Reporting System
    Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao K. Huang, Illah Nourbakhsh.
    In Proceedings of the 24th annual meeting of the Intelligent User Interfaces (IUI 2019), March 17-20 2019, Los Angeles, USA.
    Outstanding Paper Award, Top 2.5% (7 out of 282 submissions)
  23. EmotionLines: An Emotion Corpus of Multi-Party Conversations
    Sheng-Yeh Chen, Chao-Chun Hsu, Chuan-Chun Kuo, Ting-Hao K. Huang, Lun-Wei Ku.
    In Proceedings of the 11th edition of the Language Resources and Evaluation Conference (LREC 2018), May 7-12 2018, Miyazaki, Japan.
  24. 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. (Acceptance Rate = 25.8%)
    Best Paper Honorable Mention Award (101/2500 = 5%)
  25. 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. (Acceptance Rate = 28.9%)
  26. WearMail: On-the-Go Access to Information in Your Email with a Privacy-Preserving Human Computation Workflow
    Saiganesh Swaminathan, Raymond Fok, Fanglin Chen, Ting-Hao K. Huang, Irene Lin, Rohan Jadvani, Walter Lasecki, Jeffrey Bigham.
    In Proceedings of 30th ACM Symposium on User Interface Software and Technology (UIST 2017), 2017, Quebec City, Canada. (Acceptance Rate = 22.5%)
  27. 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.
  28. "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. (Acceptance Rate = 30.3%)
    Media Coverage: [The Register]
  29. 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. the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2016), June, 2016, San Diego, CA, USA. (Acceptance Rate = 29%)
    Also accepted by the Workshop on Human Computation for Image and Video Analysis (GroupSight) in HCOMP 2016 as a previously published work.
  30. Guardian: A Crowd-Powered Spoken Dialog System for Web APIs
    Ting-Hao K. Huang, Walter S. Lasecki, Jeffrey P. Bigham.
    In Conference on Human Computation & Crowdsourcing (HCOMP 2015), pages 62–71, November, 2015, San Diego, USA. (Acceptance Rate = 30%)
  31. A Survey of Current Datasets for Vision and Language Research
    Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao K. Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell.
    In Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), pages 207–213, September, 2015, Lisbon, Portugal. (Acceptance Rate = 24%, 312/1315)
  32. Domain Dependent Word Polarity Analysis for Sentiment Classification (領域相關詞彙極性分析及文件情緒分類之研究)
    Ho-Cheng Yu, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of 24th Conference on Computational Linguistics and Speech Processing (ROCLING 2012).
  33. Predicting Opinion Dependency Relations for Opinion Analysis
    Lun-Wei Ku, Ting-Hao K. Huang, and Hsin-Hsi Chen.
    In Proceeding of the 5th International Joint Conference on Natural Language Processing (IJCNLP 2011). 2011.
  34. Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches
    Ting-Hao K. Huang, Lun-Wei Ku, Hsin-Hsi Chen.
    In Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, pp. 844-850.
  35. Construction of a Chinese Opinion Treebank
    Lun-Wei Ku, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of the 7th International Conference on Language Resources and Evaluation (LREC 2010), Malta, pp. 1315-1319.
  36. Using Morphological and Syntactic Structures for Chinese Opinion Analysis
    Lun-Wei Ku, Ting-Hao K. Huang, Hsin-Hsi Chen.
    In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP 2009), Singapore, pp. 1260-1269.

Peer-Reviewed Journal Articles

  1. Empowering Local Communities Using Artificial Intelligence
    Yen-Chia Hsu, Ting-Hao K. Huang, Himanshu Verma, Andrea Mauri, Illah Nourbakhsh, Alessandro Bozzon.
    Patterns. (Accepted)
  2. Smell Pittsburgh: Engaging Community Citizen Science for Air Quality
    Yen-Chia Hsu, Jennifer Cross, Paul Dille, Michael Tasota, Beatrice Dias, Randy Sargent, Ting-Hao K. Huang, Illah Nourbakhsh.
    ACM Transactions on Interactive Intelligent Systems. 10, 4, Article 32 (November 2020), 49 pages. DOI: https://doi.org/10.1145/3369397. (Published)
  3. InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd
    Ting-Hao K. Huang, Amos Azaria, Oscar J. Romero, Jeffrey P. Bigham.
    Human Computation (2019) 6:1:113-146. ISSN: 2330-8001, DOI: 10.15346/hc.v6i1.7.
  4. Social Metaphor Detection via Topical Analysis
    Ting-Hao K. Huang.
    International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 19(2) (2014). (Published)
  5. Domain Dependent Word Polarity Analysis for Sentiment Classification (領域相關詞彙極性分析及文件情緒分類之研究)
    Ho-Cheng Yu, Ting-Hao K. Huang, and Hsin-Hsi Chen.
    International Journal of Computational Linguistics and Chinese Language Processing (IJCLCLP), 17(3-4): Special Issue on ROCLING 2012. (Published)

Position Papers

  1. Empathy-Centric Design At Scale
    Andrea Mauri, Yen-Chia Hsu, Marco Brambilla, Aisling Ann O'Kane, Ting-Hao K. Huang, Himanshu Verma.
    Accepted at Workshops at the 2022 CHI Conference on Human Factors in Computing Systems (CHI 2022)
  2. On Automating Conversations
    Ting-Hao K. Huang.
  3. On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status.
    Patricia Simon, Suchitra Krishnan-Sarin, Ting-Hao K. Huang.

Workshop, Symposia, and Consortia Papers

  1. Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers
    Shreya Chandrasekhar, Chieh-Yang Huang, and Ting-Hao K. Huang.
    BioNLP Workshop 2023, co-located with ACL 2023. July 13, 2023. Toronto, Canada.
  2. Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction
    Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, and Ting-Hao K. Huang.
    AAAI 2023 Workshop of Creative AI Across Modalities. February 13th, 2023. Washington, D.C.
  3. Are GANs Biased? Evaluating GAN-Generated Facial Images via Crowdsourcing.
    Hangzhi Guo, Lizhen Zhu, and Ting-Hao K. Huang.
  4. Learning Clause Representation from Dependency-Anchor Graph for Connective Prediction.
    Yanjun Gao, Ting-Hao K. Huang, and Rebecca J. Passonneau.
  5. Explaining the Road Not Taken
    Shen Hua, Ting-Hao K. Huang
  6. What Makes A Good Reference Manager? A Quantitative Analysis of Bibliography Management Applications.
    *Tongan Cai, *Chacha Chen, Ting-Hao K. Huang, Frank E. Ritter.
    Asian CHI Symposium 2021 (AsianCHI2021). May 7-8, 2021. Virtual Event.
    Best Paper Award [Best Paper Certificate]
  7. Let's Talk! Striking Up Conversations via Conversational Visual Question Generation
    Shih-Han Chan, Tsai-Lun Yang, Yun-Wei Chu, Chi-Yang Hsu, Ting-Hao K. Huang, Yu-Shian Chiu and Lun-Wei Ku
  8. CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset
    Ting-Hao K. Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
    Media Coverage: [PSU News]
    Proc. NLP COVID-19 Workshop @ACL 2020. July 9-10, 2020.
  9. Epistemo: A Crowd-Powered Conversational Search Interface
    Saiganesh Swaminathan, Ting-Hao K. Huang, Irene Lin, Anhong Gun, Gierad Laput, and Jeffrey Bigham.
    In the Talking with Conversational Agents in Collaborative Action Workshop at the 20th ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW '17)
  10. Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications
    Chieh-Yang Huang, Ting-Hao K. Huang, Lun-Wei Ku.
    In the Designing the User Experience of Machine Learning Systems symposium (AAAI 2017 Spring Symposium Series), March 27-29, 2017, Palo Alto, USA.
  11. Crowd-Powered Conversational Agents
    Ting-Hao K. Huang.
    Doctoral Consortium of Conference on Human Computation & Crowdsourcing (HCOMP DC 2016), 2016, Austin, TX, USA.
  12. ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer
    Ting-Hao K. Huang, Yun-Nung Chen, Lingpeng Kong.
    The 8th SIGHAN Workshop on Chinese Language Processing (SIGHAN 2015), page 26-31, July 30-31, 2015, Beijing, China. (Acceptance Rate = 29%)
    Best Poster Award in LTI Student Research Symposium 2013
  13. Social Metaphor Detection via Topical Analysis
    Ting-Hao K. Huang.
    IJCNLP 2013 Workshop on Natural Language Processing for Social Media (SocialNLP 2013), pages 14–22, Nagoya, Japan, 14 October 2013.

Demos

  1. ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
    Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao K. Huang.
    CSCW '23 Demo.
    Best Demo
  2. Stretch-VST: Getting Flexible With Visual Stories.
    Chi-Yang Hsu, Yun-Wei Chu, Tsai-Lun Yang, Ting-Hao K. Huang, and Lun-Wei Ku.
    ACL-IJCNLP Demo Track 2021 (ACL Demo 2021).
  3. Dixit: Interactive Visual Storytelling via Term Manipulation.
    Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao K. Huang, and Lun-Wei Ku.
    In the Demo track of The Web Conference 2019 (TheWebConf Demo 2019), 2019.
  4. MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions
    Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao K. Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, and Lun-Wei Ku.
    In the Demo track of the Conference on Empirical Methods in Natural Language Processing 2017 (EMNLP Demo 2017), Sep, 2017, Copenhagen, Denmark.
  5. Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
    Shih-Ming Wang, Chun-Hui Li, Yu-Chun Lo, Ting-Hao K. Huang, Lun-Wei Ku.
    In the Demo track of the 26th International Conference on Computational Linguistics (COLING Demo 2016), Dec, 2016, Osaka, Japan.
  6. Modeling Pollyanna Phenomena in Chinese Sentiment Analysis
    Ting-Hao K. Huang, Ho-Cheng Yu and Hsin-Hsi Chen.
    In Proceedings of COLING 2012: Demonstration Papers (COLING Demo 2012), pages 231–238, Mumbai, December 2012.

Posters and Extended Abstracts

  1. What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions.
    Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao K. Huang.
    CHI 2023 Late-Breaking Work (LBW) track, 2023.
  2. Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers.
    Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao K. Huang.
    In the Works-in-Progress and Demonstration track of the 10th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2022 WiP/Demo), 2022.
  3. Using Tweets to Assess Mental Well-being of Essential Workers During the COVID-19 Pandemic.
    Johnna Blair, Chi-Yang Hsu, Ling Qiu, Shih-Hong Huang, Ting-Hao K. Huang, and Saeed Abdullah.
    Media Coverage: [PSU News]
    In CHI'21 Late-Breaking Work on Human Factors in Computing Systems (CHI LBW 2021), 2021.
  4. On How Users Edit Computer-Generated Visual Stories.
    Ting-Yao Hsu, Yen-Chia Hsu, and Ting-Hao K. Huang.
    In CHI'19 Late-Breaking Work on Human Factors in Computing Systems (CHI LBW 2019), 2019.
  5. On How Deaf People Might Use Speech to Control Devices
    Jeffrey Bigham, Raja Kushalnagar, Ting-Hao K. Huang, Juan Pablo Flores and Saiph Savage.
    Poster track ASSETS 2017 (ASSETS Poster 2017), October, 2017. Baltimore, Maryland.
  6. Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time
    Ting-Hao K. Huang, Joseph Chee Chang, Saiganesh Swaminathan, Jeffrey Bigham.
    Poster track of the 20th ACM Symposium on User Interface Software and Technology (UIST Poster 2017), October, 2017. Quebec City, Canada.
  7. InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd
    Ting-Hao K. Huang, Amos Azaria, Jeffrey P Bigham.
    In CHI '16 Late-Breaking Work on Human Factors in Computing Systems (CHI LBW 2016), May, 2016, San Jose, CA, USA.
    Best Paper Honorable Mention Award (14/281 = 5%)
  8. Combining Non-Expert and Expert Crowd Work to Convert Web APIs to Dialog Systems
    Ting-Hao K. Huang, Walter S. Lasecki, Alan L. Ritter, Jeffrey P. Bigham.
    Work-in-Progress paper in the Proceeding of Conference on Human Computation & Crowdsourcing (HCOMP WIP 2014), pages 22-23, November 2-4, 2014, Pittsburgh, USA.

Book Chapters

  1. On replacing humans with human simulators in human-in-the-loop systems built to interact with humans
    Shih-Hong Huang, Ting-Hao K. Huang.
    In "Bi-directionality in Human-AI Collaborative Systems.", Ch 11. (Editors: William Lawless, Ranjeev Mittu, Donald Sofge, Marco Brambilla.) Page 287-302. 2025 June. Elsevier.

Theses

  1. A Crowd-Powered Conversational Assistant That Automates Itself Over Time
    Ting-Hao K. Huang.
    PhD Dissertation, Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA. 2018.
  2. Automatic Extraction of Intra- and Inter- word Syntactic Structures for Chinese Opinion Analysis (應用於中文意見分析之詞內暨詞間語法結構自動擷取研究)
    Ting-Hao K. Huang.
    Master thesis, GINM, National Taiwan University, Taipei. 2009.