Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction. - Long Hoang Nguyen 002; Jia Zhen; Zhe Lin; Hanxiang Du; Zhou Yang 002; Wenxuan Guo; Fang Jin (CoRR, 2018)

Twitter vs News: Concern Analysis of the 2018 California Wildfire Event. - Hanxiang Du; Long Hoang Nguyen 002; Zhou Yang 002; Hashim Abu-gellban; Xingyu Zhou; Wanli Xing; Guofeng Cao; Fang Jin (COMPSAC (2), 2019)

Spatial-Temporal Multi-Task Learning for Within-Field Cotton Yield Prediction. - Long Hoang Nguyen 002; Jiazhen Zhu; Zhe Lin; Hanxiang Du; Zhou Yang 002; Wenxuan Guo; Fang Jin (PAKDD (1), 2019)

NiPred: Need Predictor for Hurricane Disaster Relief. - Long Hoang Nguyen 002; Siyuan Jiang; Hashim Abu-gellban; Hanxiang Du; Fang Jin (SSTD, 2019)

Examining temporal dynamics of self-regulated learning behaviors in STEM learning: A network approach. - Shan Li; Hanxiang Du; Wanli Xing; Juan Zheng; Guanhua Chen 009; Charles Xie (Comput. Educ., 2020)

A Debugging Learning Trajectory for Text-Based Programming Learners. - Hanxiang Du; Wanli Xing; Yuanlin Zhang 002 (ITiCSE (2), 2021)

Designing a Transferable Predictive Model for Online Learning Using a Bayesian Updating Approach. - Wanli Xing; Dongping Du; Ali Bakhshi; Kuo-Chun Chiu; Hanxiang Du (IEEE Trans. Learn. Technol., 2021)

Trends and Issues in STEM + C Research: A Bibliometric Perspective. - Hanxiang Du; Wanli Xing; Bo Pei; Yifang Zeng; Jie Lu; Yuanlin Zhang 002 (CSEDU (1), 2022)

Misconception of Abstraction: When to Use an Example and When to Use a Variable? - Hanxiang Du; Wanli Xing; Yuanlin Zhang 002 (ICER (2), 2022)

A Preliminary Data-driven Analysis of Common Errors Encountered by Novice SPARC Programmers. - Zach Hansen; Hanxiang Du; Wanli Xing; Rory Eckel; Justin Lugo; Yuanlin Zhang 002 (ICLP Technical Communications / Doctoral Consortium, 2022)

Understanding topic duration in Twitter learning communities using data mining. - Okan Arslan; Wanli Xing; Fethi A. Inan; Hanxiang Du (J. Comput. Assist. Learn., 2022)

An Integrated Approach to Data Science Foundations in Computing, Mathematics and Statistics. - Yuanlin Zhang 002; Hanxiang Du; Wendy Staffen; Wanli Xing; Joshua Archer (SIGCSE (2), 2023)

Automatic text generation using deep learning: providing large-scale support for online learning communities. - Hanxiang Du; Wanli Xing; Bo Pei (Interact. Learn. Environ., 2023)

Prompt-based and Fine-tuned GPT Models for Context-Dependent and -Independent Deductive Coding in Social Annotation. - Chenyu Hou; Gaoxia Zhu; Juan Zheng; Lishan Zhang; Xiaoshan Huang; Tianlong Zhong; Shan Li; Hanxiang Du; Chin Lee Ker (LAK, 2024)

Automatic deductive coding in discourse analysis: an application of large language models in learning analytics. - Lishan Zhang; Han Wu; Xiaoshan Huang; Tengfei Duan; Hanxiang Du (CoRR, 2024)

Exploring behavioural patterns and their relationships with social annotation outcomes. - Shan Li; Xiaoshan Huang; Gaoxia Zhu; Hanxiang Du; Tianlong Zhong; Chenyu Hou; Juan Zheng (J. Comput. Assist. Learn., 2024)

Live Coding Prompts Engagement, But Not Necessarily Grades. - Hanxiang Du; Dion Udokop; Bo Pei (SIGCSE (1), 2025)

Mining teacher informal online learning networks: Community commitment in unstructured learning environments. - Hanxiang Du; Gaoxia Zhu; Wanli Xing (J. Comput. Assist. Learn., 2025)