Wse-MF: A weighting-based student exercise matrix factorization model. - Xia Sun; Bo Li; Richard F. E. Sutcliffe; Zhizezhang Gao; Wenying Kang; Jun Feng 003 (Pattern Recognit., 2023)

Exploring Relations between Programming Learning Trajectories and Students' Majors. - Zhizezhang Gao; Haochen Yan; Yuheng Wu; Can Cui; Yingzhi Zhang; Jun Feng 003 (ACM TUR-C, 2024)

Convolution Attentive Knowledge Tracing with comprehensive behavioral features. - Jiaqi Xing; Kaixuan Li 009; Yuheng Wu; Zhizezhang Gao; Xingyu Liu; Xia Sun; Jun Feng 003 (ACM TUR-C, 2024)

SACH-Net: Shape-Adaptive Convolution and Hierarchical Topology Constraints Framework for Coronary Artery Segmentation. - Zhuo Jin; Shaoxuan Wu; Zhizezhang Gao; Xiaosong Xiong; Xiao Zhang 028; Jun Feng 003 (EMBC, 2024)

Predicting the Cell-level PD-L1 Expression Status from H&E-stained Histopathological Slide. - Mo Zhou; Hansheng Li; Zhizezhang Gao; Mengxin Lu; Xiao Zhang 028; Yuxin Kang; Lei Cui 004; Jun Feng 003; Lin Yang 002 (EMBC, 2024)

Coordinated-joint translation fusion framework with sentiment-interactive graph convolutional networks for multimodal sentiment analysis. - Qiang Lu 006; Xia Sun; Zhizezhang Gao; Yunfei Long; Jun Feng 003; Hao Zhang (Inf. Process. Manag., 2024)

Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges. - Qiang Lu 006; Xia Sun; Yunfei Long; Zhizezhang Gao; Jun Feng 003; Tao Sun (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards a Quantitative Competency Model for CS1 via Five-Channel Learning Sequences. - Zhizezhang Gao; Can Cui; Haochen Yan; Jiaqi Liu; Xia Sun; Jun Feng 003 (SIGCSE (1), 2025)

TABNet: A Triplet Augmentation Self-Recovery Framework with Boundary-Aware Pseudo-Labels for Medical Image Segmentation. - Peilin Zhang; Shaouxan Wua; Jun Feng 003; Zhuo Jin; Zhizezhang Gao; Jingkun Chen; Yaqiong Xing; Xiao Zhang 028 (CoRR, 2025)