Online Discussions and Perceived Learning. - Dezhi Wu; Starr Roxanne Hiltz (AMCIS, 2003)

A Framework for Classifying Personalization Scheme Used on e-Commerce Websites. - Dezhi Wu; Il Im; Marilyn Tremaine; Keith Instone; Murray Turoff (HICSS, 2003)

An exploration of information-seeking behavior in emergency management. - Qing Gu; David Mendonça; Dezhi Wu (SMC, 2003)

Knowledge Worker Adoption of Time Management Tools: Satisfaction and Perceived Effectiveness. - Dezhi Wu; Marilyn Tremaine (AMCIS, 2004)

Constructivist Learning with Participatory Examinations. - Dezhi Wu; Michael Bieber; Starr Roxanne Hiltz; Hyo-Joo Han (HICSS, 2004)

Time Experience within an Organization: How do Individuals Manage Temporal Demands and What Technology Can We Build to Support Them? - Dezhi Wu; Marylin Tremaine; Starr Roxanne Hiltz (AMCIS, 2005)

Size Does Matter in Computer Collaboration: Heterogeneous Platform Effects on Human-Human Interaction. - Marilyn Tremaine; Aleksandra Sarcevic; Dezhi Wu; Maria C. Velez; Bogdan Dorohonceanu; Allan Meng Krebs; Ivan Marsic (HICSS, 2005)

Assisting Teams to Learn About Their Teams: Preliminary Experiences with Team-based Assessment Software in Face-to-Face and Online Teams. - Katia Passerini; Dezhi Wu; Liz Avery (AMCIS, 2007)

Utilizing Web Tools for Computer-Mediated Communication to Enhance Team-Based Learning. - Elizabeth Avery Gomez; Dezhi Wu; Katia Passerini; Michael Bieber (Int. J. Web Based Learn. Teach. Technol., 2007)

By When Do You Need This Done? Discovering Knowledge Workers' Time Management Practices. - Dezhi Wu; Katia Passerini; Michael R. Bartolacci (AMCIS, 2008)

Engaging Students with Constructivist Participatory Examinations in Asynchronous Learning Networks. - Dezhi Wu; Michael Bieber; Starr Roxanne Hiltz (J. Inf. Syst. Educ., 2008)

The new dimensions of collaboration: mega and intelligent communities, ICT and wellbeing. - Katia Passerini; Dezhi Wu (J. Knowl. Manag., 2008)

Patterned deposition of PEO nanofibers. - Dezhi Wu; Lingyun Wang 001; Daoheng Sun (NEMS, 2009)

Traditional, Hybrid and Online Teamwork: Lessons from the Field. - Elizabeth Avery Gomez; Dezhi Wu; Katia Passerini (Commun. Assoc. Inf. Syst., 2009)

Asynchronous Participatory Exams: Internet Innovation for Engaging Students. - Dezhi Wu; Michael Bieber; Starr Roxanne Hiltz (IEEE Internet Comput., 2009)

Incorporating Temporal Structure Components to Electronic Temporal Coordination Systems. - Dezhi Wu (AMCIS, 2010)

Large-scale patterned nanofibers via tip-less electrospinning. - Dezhi Wu; Gaofeng Zheng; Lingyun Wang 001; Xiting Lai; Daoheng Sun (NEMS, 2010)

Acceptance of Educational Technology: Field Studies of Asynchronous Participatory Examinations. - Dezhi Wu; Starr Roxanne Hiltz; Michael Bieber (Commun. Assoc. Inf. Syst., 2010)

Computer-supported team-based learning: The impact of motivation, enjoyment and team contributions on learning outcomes. - Elizabeth Avery Gomez; Dezhi Wu; Katia Passerini (Comput. Educ., 2010)

Identifying Usability Issues in Personal Calendar Tools. - Dezhi Wu (NDT, 2011)

Security, But at What Cost? - An Examination of Security Notifications within a Mobile Application. - Gregory D. Moody; Dezhi Wu (HCI (14), 2013)

Improved electrical conductivity of PANI/PEO polymer via electrospinning and its application as NH3 gas sensor. - Sisi Li; Gaofeng Zheng; Xiang Wang 004; Yong Chen; Dezhi Wu; Daoheng Sun (NEMS, 2013)

Understanding Patients' Compliance Behavior in a Mobile Healthcare System: The Role of Trust and Planned Behavior. - Paul Benjamin Lowry; Dongsong Zhang; Dezhi Wu (ICIS, 2014)

Right Message at Right Place: Investigating the Effectiveness of Location-based Mobile Advertising on Consumers' Redemption Responses. - Xin Wei Wang 002; Dezhi Wu; Hock-Hai Teo (ICIS, 2014)

Exploring mobile tablet training for road safety: A uses and gratifications perspective. - Iris Reychav; Dezhi Wu (Comput. Educ., 2014)

An exploration of 3D spatial training in teams with a remotely controlled robotic system. - Iris Reychav; Dezhi Wu; Nir Shvalb; Boaz Ben-Moshe (Int. J. Learn. Technol., 2014)

Temporal Structures Supported by Electronic Calendaring Systems. - Dezhi Wu (AMCIS, 2015)

Website Aesthetics Impacts User Satisfaction and Actual Use: The Role of Trust and Focused Immersion. - Dezhi Wu; Julian Lin; Hock Chuan Chan (AMCIS, 2015)

Patient Compliance Behavior in a Mobile Healthcare System: An Integration of Theories of Rational Choice and Planned Behavior. - Dezhi Wu; Paul Benjamin Lowry; Dongsong Zhang (HICSS, 2015)

Are your users actively involved? A cognitive absorption perspective in mobile training. - Iris Reychav; Dezhi Wu (Comput. Hum. Behav., 2015)

Mobile collaborative learning: The role of individual learning in groups through text and video content delivery in tablets. - Iris Reychav; Dezhi Wu (Comput. Hum. Behav., 2015)

The role of user-centered design and usability on knowledge sharing: a school website field study. - Iris Reychav; Dezhi Wu (Int. J. Knowl. Learn., 2015)

Investigating Consumers' Redemption responses through the Interplay between Message Framing and Psychological Distance in Mobile Advertisement Design. - Dezhi Wu; Xinwei Wang 002; Hock-Hai Teo; Xixian Peng (PACIS, 2016)

Leveraging social networks in the adoption of mobile technologies for collaboration. - Iris Reychav; Martin J. Ndicu; Dezhi Wu (Comput. Hum. Behav., 2016)

The interplay between cognitive task complexity and user interaction in mobile collaborative training. - Iris Reychav; Dezhi Wu (Comput. Hum. Behav., 2016)

Identifying new temporal coordination requirements for calendar systems through a temporal structure lens. - Dezhi Wu; Benjamin Ngugi; Gregory D. Moody (Comput. Hum. Behav., 2016)

Dielectrically-Loaded Cylindrical Resonator-Based Wireless Passive High-Temperature Sensor. - Jijun Xiong; Guozhu Wu; Qiulin Tan; Tanyong Wei; Dezhi Wu; Sanmin Shen; Helei Dong; Wendong Zhang 001 (Sensors, 2016)

Slot Antenna Integrated Re-Entrant Resonator Based Wireless Pressure Sensor for High-Temperature Applications. - Shujing Su; Fei Lu 010; Guozhu Wu; Dezhi Wu; Qiulin Tan; Helei Dong; Jijun Xiong (Sensors, 2017)

A Simple Graphene NH3 Gas Sensor via Laser Direct Writing. - Dezhi Wu; Qianqian Peng; Shan Wu; Guangshun Wang; Lei Deng; Huiling Tai; Lingyun Wang 001; Yajie Yang; Linxi Dong; Yang Zhao 006; Jinbao Zhao; Daoheng Sun; et al. (Sensors, 2018)

Understanding and Digitalizing Emerging Temporal Structures for Competitive Advantages. - Dezhi Wu (AMCIS, 2019)

Understanding User Engagement Mechanisms on a Live Streaming Platform. - Xinwei Wang; Dezhi Wu (HCI (24), 2019)

Display "Why" Higher than "How": How Display Positioning Affects Construal Level. - Xixian Peng; Xinwei Wang; Dezhi Wu (ICIS, 2019)

The Impact of the Electronic Skin Substrate on the Robotic Tactile Sensing. - Chuhao Chen 004; Houde Liu; Xiaojun Zhu; Dezhi Wu; Yu Xie (Int. J. Humanoid Robotics, 2019)

Novel Cluster Analytics for Analyzing COVID-19 Patient Medical Data. - Joseph E. Johnson; Dezhi Wu (HCI (48), 2020)

Leveraging Twitter Data to Explore the Feasibility of Detecting Negative Health Outcomes Related to Vaping. - Erin Kasson; Lijuan Cao; Ming Huang 006; Dezhi Wu; Patricia A. Cavazos-Rehg (HCI (49), 2020)

A Document Processing Scheme for Journal Submissions Based on Locality Sensitive Hashing and Scale-invariant Feature Transform. - Dezhi Wu; Peng Shi; Liang Xu; Hao Wang (ISCID, 2020)

A Research Agenda for the Why, What, and How of Gamification Designs: Outcomes of an ECIS 2019 Panel. - Sofia Schöbel; Andreas Janson; Katharina Jahn 002; Bastian Kordyaka; Ozgur Turetken; Naza Djafarova; Mohammed Saqr; Dezhi Wu; Matthias Söllner 001; Martin Adam; Povl Heiberg Gad; Henrik Wesseloh; et al. (Commun. Assoc. Inf. Syst., 2020)

How does social network diversity affect users' lurking intention toward social network services? A role perspective. - Xiaodan Liu; Qingfei Min; Dezhi Wu; Zilong Liu (Inf. Manag., 2020)

Effects of the design of mobile security notifications and mobile app usability on users' security perceptions and continued use intention. - Dezhi Wu; Gregory D. Moody; Jun Zhang 021; Paul Benjamin Lowry (Inf. Manag., 2020)

Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. - Forest Agostinelli; Mihir Mavalankar; Vedant Khandelwal; Hengtao Tang; Dezhi Wu; Barnett Berry; Biplav Srivastava; Amit P. Sheth; Matthew Irvin (IDC, 2021)

Sentiment Analysis on Substance Use Disorder (SUD) Tweets Before and During COVID-19 Pandemic. - Avineet Kumar Singh; Dezhi Wu (HCI (39), 2021)

Laser Induced Graphene Patterns on a Thin Polyimide Film via a cooling plate. - Qixiang Chen; Dezhi Wu; Zhiwen Chen 007; Hang Yu; Qinnan Chen; Daoheng Sun (NEMS, 2021)

A Robotic Dynamic Tactile Sensing System based on Electronic Skin. - Jishen Dai; Yu Xie; Dezhi Wu; Songyue Chen; Ting Fu; Wei Zhou (NEMS, 2021)

3D printing of magnetically actuated miniature soft robots. - Zhongbao Wang; Yigen Wu; Dezhi Wu; Zhenyin Hai (NEMS, 2021)

Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak. - Erin Kasson; Avineet Kumar Singh; Ming Huang 006; Dezhi Wu; Patricia A. Cavazos-Rehg (Int. J. Medical Informatics, 2021)

Patients' compliance behavior in a personalized mobile patient education system (PMPES) setting: Rational, social, or personal choices? - Dezhi Wu; Paul Benjamin Lowry; Dongsong Zhang; Rachida Parks (Int. J. Medical Informatics, 2021)

ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. - Kausik Lakkaraju; Thahimum Hassan; Vedant Khandelwal; Prathamjeet Singh; Cassidy Bradley; Ronak Shah; Forest Agostinelli; Biplav Srivastava; Dezhi Wu (AAAI, 2022)

Explainable Artificial Intelligence (XAI) User Interface Design for Solving a Rubik's Cube. - Cassidy Bradley; Dezhi Wu; Hengtao Tang; Ishu Singh; Katelyn Wydant; Brittany Capps; Karen Wong; Forest Agostinelli; Matthew Irvin; Biplav Srivastava (HCI (49), 2022)

AI-Driven User Interface Design for Solving a Rubik's Cube: A Scaffolding Design Perspective. - Dezhi Wu; Hengtao Tang; Cassidy Bradley; Brittany Capps; Prathamjeet Singh; Katelyn Wyandt; Karen Wong; Matthew Irvin; Forest Agostinelli; Biplav Srivastava (HCI (41), 2022)

Identification and Prediction of Low-Birthweight Baby Outcomes and Mom Risk Factors. - Yang Ren; Dezhi Wu; Ana Lòpez-De Fede (ICHI, 2022)

Improving Prediction and Risk Factor Analysis of Low Birthweight Baby Outcomes in a U.S. Hospital System. - Yang Ren; Dezhi Wu; Yan Tong; Ana Lòpez-De Fede; Sarah Gareau (ICHI, 2022)

Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach. - Yuqi Wu; Yang Ren; Dezhi Wu; Sudha Xirasagar; Joseph Johnson (ICHI, 2022)

D-Dimer Elevation Matters to Predict COVID-19 Severity: A Machine Learning Approach. - Yuqi Wu; Dezhi Wu; Sudha Xirasagar (ICHI, 2022)

A Flexible Pressure Sensor with Wide Range Using Polyimide/Graphene Oxide/BaTiO3 Nanofibers as Dielectric Layer. - Dezhi Wu; Xianshu Cheng; Yunheng Wu; Zhenjin Xu (NEMS, 2022)

Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. - Yang Ren; Dezhi Wu; Avineet Kumar Singh; Erin Kasson; Ming Huang 006; Patricia A. Cavazos-Rehg (Frontiers Big Data, 2022)

Classification of Patient Portal Messages with BERT-based Language Models. - Yang Ren; Dezhi Wu; Aditya Khurana; George M. Mastorakos; Sunyang Fu; Nansu Zong; Jungwei Fan 001; Hongfang Liu; Ming Huang 006 (ICHI, 2023)

Developing Multi-Task Learning Methods to Aid in Electronic Healthcare Prediction. - Edward Tsien; Dezhi Wu; Ana Lòpez-De Fede (ICHI, 2023)

Introducing Task-Adaptive Loss to Multitask Learning for Electronic Healthcare Prediction. - Edward Tsien; Dezhi Wu; Yan Tong; Ana Lòpez-De Fede; Sarah Gareau (ICHI, 2023)

The Effect of Human v/s Synthetic Test Data and Round-Tripping on Assessment of Sentiment Analysis Systems for Bias. - Kausik Lakkaraju; Aniket Gupta; Biplav Srivastava; Marco Valtorta; Dezhi Wu (TPS-ISA, 2023)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. - Kausik Lakkaraju; Vedant Khandelwal; Biplav Srivastava; Forest Agostinelli; Hengtao Tang; Prathamjeet Singh; Dezhi Wu; Matthew Irvin; Ashish Kundu (CoRR, 2024)

Utilizing Large Language Models to Identify Reddit Users Considering Vaping Cessation for Digital Interventions. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Caleb Henry; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Ming Huang 006 (CoRR, 2024)

Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Wyatt Bellamy; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Ming Huang 006 (CoRR, 2024)

Effect of Designer- versus User-driven Network-monitoring Dashboard Design on User Flow Experience and Performance: The Role of Augmented Virtuality. - Khawaja A. Saeed; Dezhi Wu; David Jingjun Xu (Inf. Manag., 2024)

Automatic uncovering of patient primary concerns in portal messages using a fusion framework of pretrained language models. - Yang Ren; Yuqi Wu; Jungwei W. Fan 001; Aditya Khurana; Sunyang Fu; Dezhi Wu; Hongfang Liu; Ming Huang 006 (J. Am. Medical Informatics Assoc., 2024)

Transparentizing the "Black Box" of Live Streaming: Impacts of Live Interactivity on Viewers' Experience and Purchase. - Dezhi Wu; Xinwei Wang 002; Hua Jonathan Ye (IEEE Trans. Engineering Management, 2024)

Designing XAI Chatbots to Enhance Self-Efficacy in Youth in Pathfinding Problem Domains. - Valerie Lookingbill; Jonathan Fu; Matthew Irvin; Dezhi Wu; Forest Agostinelli (IDC, 2025)

A Progressive Local Variance-guided Strategy for Improving Data Augmentation Reliability. - Zheyuan Wang; Ziyao Meng; Dezhi Wu; Haoran Liao; Tianyi Wang; Hao Shen; Jiajia Li 004; Haitao Song (ICASSP, 2025)

NanoGen: A High-affinity Nanobody Generation Model with Guided Diffusion. - Dezhi Wu; Xuejiao Liu; Yiming Qin; Stephanie M. Linker; Karin Hrovatin; Alexander V. Hopp; Feng Tan (ICASSP, 2025)

Automated Reddit Data Annotation with Large Language Models. - Sai Krishna Revanth Vuruma; Dezhi Wu; Saborny Sen Gupta; Lucas Aust; Valerie Lookingbill; Wyatt Bellamy; Yang Ren; Erin Kasson; Li-Shiun Chen; Patricia A. Cavazos-Rehg; Dian Hu; Hongfang Liu; et al. (ICHI, 2025)