Univariate ReLU neural network and its application in nonlinear system identification. - Xinglong Liang; Jun Xu (CoRR, 2020)

Biased ReLU neural networks. - Xinglong Liang; Jun Xu (Neurocomputing, 2021)

Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. - Yuan Gao; Hong-Yu Zhou; Xin Wang 121; Tianyu Zhang 006; Luyi Han; Chunyao Lu; Xinglong Liang; Jonas Teuwen; Regina Beets-Tan; Tao Tan 002; Ritse Mann (MICCAI (1), 2024)

Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. - Luyi Han; Tao Tan 002; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Xinglong Liang; Haoran Dou; Yunzhi Huang; Ritse Mann (MICCAI (11), 2024)

DuEU-Net: Dual Encoder UNet with Modality-Agnostic Training for PET-CT Multi-modal Organ and Lesion Segmentation. - Jinhong Song; Xiao Yang; Xinglong Liang; Jiaju Huang; Junqiang Ma; Yue Sun; Wuman Luo; SengPeng Mok; Ying Wang; Tao Tan 002 (Deep-Breath@MICCAI, 2024)

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. - Xin Wang 121; Tao Tan 002; Yuan Gao; Eric Marcus; Luyi Han; Antonio Portaluri; Tianyu Zhang 006; Chunyao Lu; Xinglong Liang; Regina Beets-Tan; Jonas Teuwen; Ritse Mann (MICCAI (1), 2024)

All-in-One Multi-Organ Segmentation in 3D CT Images via Self-Supervised and Cross-Dataset Learning. - Jiaju Huang; Shaobin Chen; Xinglong Liang; Yue Sun; Menghan Hu; Tao Tan 002 (ISBI, 2025)

DpDNet: An Dual-Prompt-Driven Network for Universal PET-CT Segmentation. - Xinglong Liang; Jiaju Huang; Luyi Han; Tianyu Zhang 006; Xin Wang 121; Yuan Gao; Chunyao Lu; Lishan Cai; Tao Tan 002; Ritse Mann (CoRR, 2025)