Using Morphological and Syntactic Structures for Chinese Opinion Analysis. - Lun-Wei Ku; Ting-Hao (Kenneth) Huang; Hsin-Hsi Chen (EMNLP, 2009)

Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches. - Ting-Hao (Kenneth) Huang; Lun-Wei Ku; Hsin-Hsi Chen (LREC, 2010)

Construction of a Chinese Opinion Treebank. - Lun-Wei Ku; Ting-Hao (Kenneth) Huang; Hsin-Hsi Chen (LREC, 2010)

Predicting Opinion Dependency Relations for Opinion Analysis. - Lun-Wei Ku; Ting-Hao (Kenneth) Huang; Hsin-Hsi Chen (IJCNLP, 2011)

Modeling Pollyanna Phenomena in Chinese Sentiment Analysis. - Ting-Hao (Kenneth) Huang; Ho-Cheng Yu; Hsin-Hsi Chen (COLING (Demos), 2012)

領域相關詞彙極性分析及文件情緒分類之研究 (Domain Dependent Word Polarity Analysis for Sentiment Classification) [In Chinese]. - Ho-Cheng Yu; Ting-Hao (Kenneth) Huang; Hsin-Hsi Chen (ROCLING, 2012)

Domain Dependent Word Polarity Analysis for Sentiment Classification. - Ho-Cheng Yu; Ting-Hao (Kenneth) Huang; Hsin-Hsi Chen (Int. J. Comput. Linguistics Chin. Lang. Process., 2012)

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 (HCOMP, 2014)

Social Metaphor Detection via Topical Analysis. - Ting-Hao (Kenneth) Huang (Int. J. Comput. Linguistics Chin. Lang. Process., 2014)

ACBiMA: Advanced Chinese Bi-Character Word Morphological Analyzer. - Ting-Hao K. Huang; Yun-Nung Chen; Lingpeng Kong (SIGHAN@IJCNLP, 2015)

A Survey of Current Datasets for Vision and Language Research. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (EMNLP, 2015)

Guardian: A Crowd-Powered Spoken Dialog System for Web APIs. - Ting-Hao (Kenneth) Huang; Walter S. Lasecki; Jeffrey P. Bigham (HCOMP, 2015)

On Available Corpora for Empirical Methods in Vision & Language. - Francis Ferraro; Nasrin Mostafazadeh; Ting-Hao (Kenneth) Huang; Lucy Vanderwende; Jacob Devlin; Michel Galley; Margaret Mitchell (CoRR, 2015)

InstructableCrowd: Creating IF-THEN Rules via Conversations with the Crowd. - Ting-Hao (Kenneth) Huang; Amos Azaria; Jeffrey P. Bigham (CHI Extended Abstracts, 2016)

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 (COLING (Demos), 2016)

"Is There Anything Else I Can Help You With?" Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent. - Ting-Hao Kenneth Huang; Walter S. Lasecki; Amos Azaria; Jeffrey P. Bigham (HCOMP, 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications. - Chieh-Yang Huang; Ting-Hao Kenneth Huang; Lun-Wei Ku (AAAI Spring Symposia, 2017)

On How Deaf People Might Use Speech to Control Devices. - Jeffrey P. Bigham; Raja S. Kushalnagar; Ting-Hao Kenneth Huang; Juan Pablo Flores; Saiph Savage (ASSETS, 2017)

MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions. - Chieh-Yang Huang; Tristan Labetoulle; Ting-Hao K. Huang; Yi-Pei Chen 001; Hung-Chen Chen; Vallari Srivastava; Lun-Wei Ku (EMNLP (System Demonstrations), 2017)

A 10-Month-Long Deployment Study of On-Demand Recruiting for Low-Latency Crowdsourcing. - Ting-Hao Kenneth Huang; Jeffrey P. Bigham (HCOMP, 2017)

Evorus: A Crowd-powered Conversational Assistant That Automates Itself Over Time. - Ting-Hao Kenneth Huang; Joseph Chee Chang; Saiganesh Swaminathan; Jeffrey P. Bigham (UIST (Adjunct Volume), 2017)

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 (Kenneth) Huang; Irene Lin; Rohan Jadvani; Walter S. Lasecki; Jeffrey P. Bigham (UIST, 2017)

Real-time On-Demand Crowd-powered Entity Extraction. - Ting-Hao K. Huang; Yun-Nung Chen; Jeffrey P. Bigham (CoRR, 2017)

MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions. - Chieh-Yang Huang; Tristan Labetoulle; Ting-Hao (Kenneth) Huang; Yi-Pei Chen 001; Hung-Chen Chen; Vallari Srivastava; Lun-Wei Ku (CoRR, 2017)

Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time. - Ting-Hao Kenneth Huang; Joseph Chee Chang; Jeffrey P. Bigham (CHI, 2018)

EmotionLines: An Emotion Corpus of Multi-Party Conversations. - Chao-Chun Hsu; Sheng-Yeh Chen; Chuan-Chun Kuo; Ting-Hao K. Huang; Lun-Wei Ku (LREC, 2018)

Community-Empowered Mobile Smell Reporting System. - Yen-Chia Hsu; Jennifer L. Cross; Paul Dille; Michael Tasota; Beatrice Dias; Randy Sargent; Ting-Hao (Kenneth) Huang; Illah R. Nourbakhsh (CoRR, 2018)

Visual Story Post-Editing. - Ting-Yao Hsu; Chieh-Yang Huang; Yen-Chia Hsu; Ting-Hao K. Huang (ACL (1), 2019)

On How Users Edit Computer-Generated Visual Stories. - Ting-Yao Hsu; Yen-Chia Hsu; Ting-Hao (Kenneth) Huang (CHI Extended Abstracts, 2019)

Smell Pittsburgh: community-empowered mobile smell reporting system. - Yen-Chia Hsu; Jennifer L. Cross; Paul Dille; Michael Tasota; Beatrice Dias; Randy Sargent; Ting-Hao (Kenneth) Huang; Illah R. Nourbakhsh (IUI, 2019)

Dixit: Interactive Visual Storytelling via Term Manipulation. - Chao-Chun Hsu; Yu-Hua Chen; Zi-Yuan Chen; Hsin-Yu Lin; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (WWW, 2019)

On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status. - Patricia Simon; Suchitra Krishnan-Sarin; Ting-Hao Kenneth Huang (CoRR, 2019)

On Automating Conversations. - Ting-Hao Kenneth Huang (CoRR, 2019)

InstructableCrowd: Creating IF-THEN Rules for Smartphones via Conversations with the Crowd. - Ting-Hao K. Huang; Amos Azaria; Oscar J. Romero; Jeffrey P. Bigham (Hum. Comput., 2019)

Knowledge-Enriched Visual Storytelling. - Chao-Chun Hsu; Zi-Yuan Chen; Chi-Yang Hsu; Chih-Chia Li; Tzu-Yuan Lin; Ting-Hao Kenneth Huang; Lun-Wei Ku (AAAI, 2020)

Heteroglossia: In-Situ Story Ideation with the Crowd. - Chieh-Yang Huang; Shih-Hong Huang; Ting-Hao Kenneth Huang (CHI, 2020)

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 (EMNLP (1), 2020)

How Useful Are the Machine-Generated Interpretations to General Users? A Human Evaluation on Guessing the Incorrectly Predicted Labels. - Hua Shen 005; Ting-Hao (Kenneth) Huang (HCOMP, 2020)

CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd. - Ting-Hao Kenneth Huang; Chieh-Yang Huang; Chien-Kuang Cornelia Ding; Yen-Chia Hsu; C. Lee Giles (CoRR, 2020)

RISE Video Dataset: 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 R. Nourbakhsh (CoRR, 2020)

Smell Pittsburgh: Engaging Community Citizen Science for Air Quality. - Yen-Chia Hsu; Jennifer L. Cross; Paul Dille; Michael Tasota; Beatrice Dias; Randy Sargent; Ting-Hao (Kenneth) Huang; Illah R. Nourbakhsh (ACM Trans. Interact. Intell. Syst., 2020)

Project RISE: Recognizing Industrial Smoke Emissions. - Yen-Chia Hsu; Ting-Hao K. Huang; Ting-Yao Hu; Paul Dille; Sean Prendi; Ryan Hoffman; Anastasia Tsuhlares; Jessica Pachuta; Randy Sargent; Illah R. Nourbakhsh (AAAI, 2021)

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences. - Yanjun Gao; Ting-Hao Kenneth Huang; Rebecca J. Passonneau (ACL/IJCNLP (1), 2021)

Plot and Rework: Modeling Storylines for Visual Storytelling. - Chi-Yang Hsu; Yun-Wei Chu; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL/IJCNLP (Findings), 2021)

Stretch-VST: Getting Flexible With Visual Stories. - Chi-Yang Hsu; Yun-Wei Chu; Tsai-Lun Yang; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL (demo), 2021)

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 Kenneth Huang; Saeed Abdullah (CHI Extended Abstracts, 2021)

FinQA: A Dataset of Numerical Reasoning over Financial Data. - Zhiyu Chen 002; Wenhu Chen; Charese Smiley; Sameena Shah; Iana Borova; Dylan Langdon; Reema Moussa; Matt Beane; Ting-Hao Kenneth Huang; Bryan R. Routledge; William Yang Wang (EMNLP (1), 2021)

SciCap: Generating Captions for Scientific Figures. - Ting-Yao Hsu; C. Lee Giles; Ting-Hao Kenneth Huang (EMNLP (Findings), 2021)

Semantic Frame Forecast. - Chieh-Yang Huang; Ting-Hao K. Huang (NAACL-HLT, 2021)

A 'Sourceful' Twist: Emoji Prediction Based on Sentiment, Hashtags and Application Source. - Pranav Venkit; Zeba Karishma; Chi-Yang Hsu; Rahul Katiki; Ting-Hao Kenneth Huang; Shomir Wilson; Patrick Dudas (CoRR, 2021)

Explaining the Road Not Taken. - Hua Shen 005; Ting-Hao Kenneth Huang (CoRR, 2021)

Learning to Rank Visual Stories From Human Ranking Data. - Chi-Yang Hsu; Yun-Wei Chu; Vincent Chen; Kuan-Chieh Lo; Chacha Chen; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (ACL (1), 2022)

Are Shortest Rationales the Best Explanations for Human Understanding? - Hua Shen 005; Tongshuang Wu; Wenbo Guo 002; Ting-Hao Kenneth Huang (ACL (2), 2022)

Empathy-Centric Design At Scale. - Andrea Mauri 001; Yen-Chia Hsu; Marco Brambilla 001; Ting-Hao Kenneth Huang; Aisling Ann O'Kane; Himanshu Verma 001 (CHI Extended Abstracts, 2022)

Multi-VQG: Generating Engaging Questions for Multiple Images. - Min-Hsuan Yeh; Vincent Chen; Ting-Hao (Kenneth) Huang; Lun-Wei Ku (EMNLP, 2022)

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 (Kenneth) Huang; Yu-Shian Chiu; Lun-Wei Ku (CoRR, 2022)

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers. - Shih-Hong Huang; Chieh-Yang Huang; Yuxin Deng; Hua Shen 005; Szu-Chi Kuan; Ting-Hao Kenneth Huang (CoRR, 2022)

Empowering local communities using artificial intelligence. - Yen-Chia Hsu; Ting-Hao Kenneth Huang; Himanshu Verma 001; Andrea Mauri 001; Illah R. Nourbakhsh; Alessandro Bozzon (Patterns, 2022)

Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles. - Pranav Narayanan Venkit; Sanjana Gautam; Ruchi Panchanadikar; Ting-Hao Kenneth Huang; Shomir Wilson (AIES, 2023)

Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers. - Shreya Chandrasekhar; Chieh-Yang Huang; Ting-Hao K. Huang (BioNLP@ACL, 2023)

The Second Workshop on Intelligent and Interactive Writing Assistants. - Minsuk Chang; John Joon Young Chung; Katy Ilonka Gero; Ting-Hao Kenneth Huang; Dongyeop Kang; Mina Lee 002; Vipul Raheja; Thiemo Wambsganss (CHI Extended Abstracts, 2023)

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 Kenneth Huang (CHI Extended Abstracts, 2023)

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. - Hua Shen 005; Chieh-Yang Huang; Tongshuang Wu; Ting-Hao Kenneth Huang (CSCW Companion, 2023)

Nationality Bias in Text Generation. - Pranav Narayanan Venkit; Sanjana Gautam; Ruchi Panchanadikar; Ting-Hao K. Huang; Shomir Wilson (EACL, 2023)

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. - Ting-Yao Hsu; Chieh-Yang Huang; Ryan A. Rossi; Sungchul Kim; C. Lee Giles; Ting-Hao Kenneth Huang (EMNLP (Findings), 2023)

Location-Aware Visual Question Generation with Lightweight Models. - Nicholas Collin Suwono; Justin Chih-Yao Chen; Tun-Min Hung; Ting-Hao (Kenneth) Huang; I-Bin Liao; Yung-Hui Li; Lun-Wei Ku; Shao-Hua Sun (EMNLP, 2023)

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. - Chieh-Yang Huang; Ting-Yao Hsu; Ryan A. Rossi; Ani Nenkova; Sungchul Kim; Gromit Yeuk-Yin Chan; Eunyee Koh; C. Lee Giles; Ting-Hao (Kenneth) Huang (INLG, 2023)

Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction. - Chieh-Yang Huang; Saniya Naphade; Kavya Laalasa Karanam; Ting-Hao Kenneth Huang (CoRR, 2023)

Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts. - Adaku Uchendu; Jooyoung Lee; Hua Shen 005; Thai Le; Ting-Hao Kenneth Huang; Dongwon Lee 001 (CoRR, 2023)

Inspo: Writing Stories with a Flock of AIs and Humans. - Chieh-Yang Huang; Sanjana Gautam; Shannon McClellan Brooks; Ya-Fang Lin; Ting-Hao Kenneth Huang (CoRR, 2023)

On Replacing Humans with Large Language Models in Voice-Based Human-in-the-Loop Systems. - Shih-Hong Huang; Ting-Hao (Kenneth) Huang (AAAI Spring Symposia, 2024)

Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants. - Minsuk Chang; John Joon Young Chung; Katy Ilonka Gero; Ting-Hao Kenneth Huang; Dongyeop Kang; Vipul Raheja; Sarah Sterman; Thiemo Wambsganss (CHI Extended Abstracts, 2024)

If in a Crowdsourced Data Annotation Pipeline, a GPT-4. - Zeyu He; Chieh-Yang Huang; Chien-Kuang Cornelia Ding; Shaurya Rohatgi; Ting-Hao Kenneth Huang (CHI, 2024)

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. - Ting-Yao Hsu; Chieh-Yang Huang; Shih-Hong Huang; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; C. Lee Giles; Ting-Hao Kenneth Huang (CHI Extended Abstracts, 2024)

How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots. - Shih-Hong Huang; Ya-Fang Lin; Zeyu He; Chieh-Yang Huang; Ting-Hao Kenneth Huang (CHI Extended Abstracts, 2024)

What Color Scheme is More Effective in Assisting Readers to Locate Information in a Color-Coded Article? - Ho Yin Ng; Zeyu He; Ting-Hao Kenneth Huang (IEEE VIS, 2024)

Generating Educational Materials with Different Levels of Readability using LLMs. - Chieh-Yang Huang; Jing Wei; Ting-Hao (Kenneth) Huang (CoRR, 2024)

CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds. - Min-Hsuan Yeh; Ruyuan Wan; Ting-Hao Kenneth Huang (CoRR, 2024)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent. - Zeyu He; Saniya Naphade; Ting-Hao Kenneth Huang (CHI, 2025)

Inspo: Writing with Crowds Alongside AI. - Chieh-Yang Huang; Sanjana Gautam; Shannon McClellan Brooks; Ya-Fang Lin; Tiffany Knearem; Ting-Hao Kenneth Huang (CHI Extended Abstracts, 2025)

Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote). - Ruyuan Wan; Lingbo Tong; Tiffany Knearem; Toby Jia-Jun Li; Ting-Hao Kenneth Huang; Qunfang Wu (CHI, 2025)

Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties. - Zixin Tang; Chieh-Yang Huang; Tsung-Chi Li; Ho Yin Sam Ng; Hen-Hsen Huang; Ting-Hao Kenneth Huang (NAACL (Short Papers), 2025)

Multi-LLM Collaborative Caption Generation in Scientific Documents. - Jaeyoung Kim; Jongho Lee; Hong-Jun Choi; Ting-Yao Hsu; Chieh-Yang Huang; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Clyde Lee Giles; Ting-Hao (Kenneth) Huang; Sungchul Choi (CoRR, 2025)

Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. - Ho Yin Ng; Ting-Yao Hsu; Jiyoo Min; Sungchul Kim; Ryan A. Rossi; Tong Yu 001; Hyunggu Jung; Ting-Hao Kenneth Huang (CoRR, 2025)

Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. - Ting-Yao Hsu; Yi-Li Hsu; Shaurya Rohatgi; Chieh-Yang Huang; Ho Yin Sam Ng; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Lun-Wei Ku; C. Lee Giles; Ting-Hao K. Huang (CoRR, 2025)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. - Ho Yin Sam Ng; Ting-Yao Hsu; Aashish Anantha Ramakrishnan; Branislav Kveton; Nedim Lipka; Franck Dernoncourt; Dongwon Lee 001; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ting-Hao Kenneth Huang (CoRR, 2025)