A Distributed Active Sensor Selection Scheme for Wireless Sensor Networks. - Kuei-Ping Shih; Yen-Da Chen; Chun-Wei Chiang; Bo-Jun Liu (ISCC, 2006)

Understanding Interface Design and Mobile Money Perceptions in Latin America. - Chun-Wei Chiang; Caroline Anderson; Claudia Flores-Saviaga; Eduardo Jr Arenas; Felipe Colin; Mario Romero; Cuauhtémoc Rivera Loaiza; Norma Elva Chávez-Rodríguez; Saiph Savage (CLIHC, 2017)

Exploring Blockchain for Trustful Collaborations between Immigrants and Governments. - Chun-Wei Chiang; Eber Betanzos; Saiph Savage (CHI Extended Abstracts, 2018)

Blockchain for Trustful Collaborations between Immigrants and Governments. - Chun-Wei Chiang; Eber Betanzos; Saiph Savage (CoRR, 2018)

Crowd Coach: Peer Coaching for Crowd Workers' Skill Growth. - Chun-Wei Chiang; Anna Kasunic; Saiph Savage (Proc. ACM Hum. Comput. Interact., 2018)

Turker Tales: Integrating Tangential Play into Crowd Work. - Anna Kasunic; Chun-Wei Chiang; Geoff Kaufman; Saiph Savage (Conference on Designing Interactive Systems, 2019)

TurkScanner: Predicting the Hourly Wage of Microtasks. - Susumu Saito; Chun-Wei Chiang; Saiph Savage; Teppei Nakano; Tetsunori Kobayashi; Jeffrey P. Bigham (WWW, 2019)

Crowd Work on a CV? Understanding How AMT Fits into Turkers' Career Goals and Professional Profiles. - Anna Kasunic; Chun-Wei Chiang; Geoff Kaufman; Saiph Savage (CoRR, 2019)

Predicting the Working Time of Microtasks Based on Workers' Perception of Prediction Errors. - Susumu Saito; Chun-Wei Chiang; Saiph Savage; Teppei Nakano; Tetsunori Kobayashi; Jeffrey P. Bigham (Hum. Comput., 2019)

Becoming the Super Turker: Increasing Wages via a Strategy from High Earning Workers. - Saiph Savage; Chun-Wei Chiang; Susumu Saito; Carlos Toxtli; Jeffrey P. Bigham (WWW, 2020)

You'd Better Stop! Understanding Human Reliance on Machine Learning Models under Covariate Shift. - Chun-Wei Chiang; Ming Yin 001 (WebSci, 2021)

Exploring the Effects of Machine Learning Literacy Interventions on Laypeople's Reliance on Machine Learning Models. - Chun-Wei Chiang; Ming Yin 001 (IUI, 2022)

Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports. - Wei-Han Chen; Chun-Wei Chiang; Nicholas J. Fiolo; Philip X. Fuchs; Tzyy-Yuang Shiang (Sensors, 2022)

Are Two Heads Better Than One in AI-Assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment. - Chun-Wei Chiang; Zhuoran Lu; Zhuoyan Li; Ming Yin 001 (CHI, 2023)

Strategic Adversarial Attacks in AI-assisted Decision Making to Reduce Human Trust and Reliance. - Zhuoran Lu; Zhuoyan Li; Chun-Wei Chiang; Ming Yin 001 (IJCAI, 2023)

Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate. - Chun-Wei Chiang; Zhuoran Lu; Zhuoyan Li; Ming Yin 001 (IUI, 2024)