Xingliang Chen

11 papers A 2B 2C 3Journal 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An efficient multi-task forest fire and smoke detection model. Eng. Appl. Artif. Intell. Cong Chen, Yunfei Liu, Chenyu Zhang, Junhui Li, Xingliang Chen
2021	J	`jnl`	Detecting cerebral microbleeds via deep learning with features enhancement by reusing ground truth. Comput. Methods Programs Biomed. Tianfu Li, Yan Zou, Peng-Fei Bai, Shi-Xiao Li, Huawei Wang, Xingliang Chen, Zhanao Meng, Zhuang Kang, Guofu Zhou
2020	J	`jnl`	Learning From Worked Examples, Erroneous Examples, and Problem Solving: Toward Adaptive Selection of Learning Activities. IEEE Trans. Learn. Technol. Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2019	J	`jnl`	Investigating the Effect of Agency on Learning from Worked Examples, Erroneous Examples and Problem Solving. Int. J. Artif. Intell. Educ. Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2018	A	`conf`	Exploring Adaptive Strategies for Providing Learning Activities. UMAP Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2017	C	`conf`	A multistate model of wind farm in mountainous land considering ice coating. IECON Shu Wang, Ye Chen, Wenxia Liu, Zongqi Liu, Xingliang Chen, Qi Chen
2017	A	`conf`	Does Adaptive Provision of Learning Activities Improve Learning in SQL-Tutor? AIED Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2017	B	`conf`	How Much Learning Support Should be Provided to Novices and Advanced Students? ICALT Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2016	B	`conf`	Do Erroneous Examples Improve Learning in Addition to Problem Solving and Worked Examples? ITS Xingliang Chen, Antonija Mitrovic, Moffat Mathews
2016	C	`conf`	Do Novices and Advanced Students benefit from Erroneous Examples differently? ICCE Xingliang Chen, Tanja Mitrovic, Moffat Mathews
2015	C	`conf`	How to Present Example-based Support to Improve Learning in ITSs? ICCE Xingliang Chen, Antonija Mitrovic, Moffat Mathews