SPOC learner's final grade prediction based on a novel sampling batch normalization embedded neural network method. - Zhuonan Liang; Ziheng Liu; Huaze Shi; Yunlong Chen; Yanbin Cai; Yating Liang; Yafan Feng; Yuqing Yang; Jing Zhang; Peng Fu 003 (CoRR, 2020)

ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. - Zhuonan Liang; Dongnan Liu; Yuqing Yang; Caiyun Sun; Weidong Cai 001; Peng Fu 003 (ICONIP (14), 2023)

SPOC learner's final grade prediction based on a novel sampling batch normalization embedded deep neural network method. - Zhuonan Liang; Ziheng Liu; Huaze Shi; Yunlong Chen; Yanbin Cai; Hong Hong; Yating Liang; Yafan Feng; Yuqing Yang; Jing Zhang; Peng Fu 003 (Multim. Tools Appl., 2023)

Accurate Fetal Head Descent Assessment During Labor Using Video Swin Transformer and Wavelet-Based Multitask Learning for 2024 MICCAI Challenge IUGC. - Jie Gan; Zhuonan Liang; Jianan Fan; Lisa Mcguire; Jillian Clarke; Weidong Cai 001 (IUGC@MICCAI, 2024)

Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head During Labor. - Jie Gan; Zhuonan Liang; Jianan Fan; Lisa Mcguire; Caterina Watson; Jacqueline Spurway; Jillian Clarke; Weidong Cai 001 (ISBI, 2025)

Diversity-Augmented Diffusion Network With LLM Assistance For Radiology Report Generation. - Jieting Long; Zhiyuan Li; Jianan Fan; Zhuonan Liang; Ao Ma; Henning Müller; Weidong Cai 001 (WWW (Companion Volume), 2025)

Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering. - Ao Ma; Zhiyuan Li; Zhuonan Liang; Tiancheng Gu; Jianan Fan; Jieting Long; Henning Müller; Weidong Cai 001 (WWW (Companion Volume), 2025)

On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting. - Zhuonan Liang; Dongnan Liu; Jianan Fan; Yaxuan Song; Qiang Qu; Yu Yao; Peng Fu 003; Tom Weidong Cai (CoRR, 2025)