GiveMeExample: Learning confusing words by example sentences. - Chieh-Yang Huang; Lun-Wei Ku (ASONAM, 2016)

Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners. - Chieh-Yang Huang; Nicole Peinelt; Lun-Wei Ku (COLING (Demos), 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)

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)

Towards a Better Learning of Near-Synonyms: Automatically Suggesting Example Sentences via Fill in the Blank. - Chieh-Yang Huang; Mei-Hua Chen; Lun-Wei Ku (WWW (Companion Volume), 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)

EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots. - Chieh-Yang Huang; Lun-Wei Ku (GLOBECOM, 2018)

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

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences. - Chieh-Yang Huang; Yi-Ting Huang; Mei-Hua Chen; Lun-Wei Ku (BEA@ACL, 2019)

Location Prediction for Tweets. - Chieh-Yang Huang; Hanghang Tong; Jingrui He; Ross Maciejewski (Frontiers Big Data, 2019)

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling. - Chacha Chen; Chieh-Yang Huang; Yaqi Hou; Yang Shi; Enyan Dai; Jiaqi Wang 002 (W-NUT@EMNLP, 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)

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)

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text. - Chacha Chen; Chieh-Yang Huang; Yaqi Hou; Yang Shi; Enyan Dai; Jiaqi Wang 002 (CoRR, 2020)

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

Guided K-best Selection for Semantic Parsing Annotation. - Anton Belyy; Chieh-Yang Huang; Jacob Andreas; Emmanouil Antonios Platanios; Sam Thomson; Richard Shin; Subhro Roy; Aleksandr Nisnevich; Charles Chen; Benjamin Van Durme (ACL (demo), 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; Szu-Chi Kuan; Ting-Hao Kenneth Huang (CoRR, 2022)

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)

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; Chieh-Yang Huang; Tongshuang Wu; Ting-Hao Kenneth Huang (CSCW Companion, 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)

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)

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)

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)

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

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)

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)

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)