Predicting Honors Student Performance Using RBFNN and PCA Method. - Moke Xu; Yu Liang 003; Wenjun Wu 001 (DASFAA Workshops, 2017)

Inferring How Novice Students Learn to Code: Integrating Automated Program Repair with Cognitive Model. - Yu Liang 003; Wenjun Wu 001; Lisha Wu; Meng Wang (Big Data (CCF), 2019)

Online Multi-Skilled Task Assignment on Road Networks. - Yu Liang 003; Wenjun Wu 001; Kaixin Wang; Chunming Hu (IEEE Access, 2019)

CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning. - Tianhao Peng 002; Yu Liang 003; Wenjun Wu 001; Jian Ren 004; Zhao Pengrui; Yanjun Pu (AAAI, 2023)

Intelligent Tutoring for Large-Scale Personalized Programming Learning Based on Knowledge Graph. - Ying Li; JinCheng Qiu; Runze Yang; Tongyu Zhu; Hao Sheng; ShiJie Gui; Yu Liang 003 (FIE, 2023)

IVAS: An Intelligent Video Analysis System based on Edge Computing. - Huapeng Yang; Zhangqin Huang; Yu Liang 003; Xiaobo Zhang; Ling Huang; Shen Qiu (LCN, 2023)

Peer Grading Eliciting Truthfulness Based on Autograder. - Yong Han; Wenjun Wu 001; Yu Liang 003; Lijun Zhang (IEEE Trans. Learn. Technol., 2023)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy. - Tianhao Peng 002; Wenjun Wu 001; Haitao Yuan 002; Zhifeng Bao; Zhao Pengrui; Xin Yu 009; Xuetao Lin; Yu Liang 003; Yanjun Pu (ICDE, 2024)

A two-stage image enhancement and dynamic feature aggregation framework for gastroscopy image segmentation. - Dongzhi He; Yunyu Li; Liule Chen; Yu Liang 003; Yongle Xue; Xingmei Xiao; Yunqi Li (Neurocomputing, 2024)

Milmer: a Framework for Multiple Instance Learning based Multimodal Emotion Recognition. - Zaitian Wang; Jian He; Yu Liang 003; Xiyuan Hu; Tianhao Peng 002; Kaixin Wang; Jiakai Wang; Chenlong Zhang; Weili Zhang; Shuang Niu; Xiaoyang Xie (CoRR, 2025)

Spatial-Temporal Transformer with Curriculum Learning for EEG-Based Emotion Recognition. - Xuetao Lin; Tianhao Peng 002; Peihong Dai; Yu Liang 003; Wenjun Wu 001 (CoRR, 2025)