KGETCDA: an efficient representation learning framework based on knowledge graph encoder from transformer for predicting circRNA-disease associations. - Jinyang Wu 001; Zhiwei Ning; Yidong Ding; Ying Wang 065; Qinke Peng; Laiyi Fu (Briefings Bioinform., 2023)

BertNDA: A Model Based on Graph-Bert and Multi-Scale Information Fusion for ncRNA-Disease Association Prediction. - Zhiwei Ning; Jinyang Wu 001; Yidong Ding; Ying Wang 065; Qinke Peng; Laiyi Fu (IEEE J. Biomed. Health Informatics, 2023)

CD-NGP: A Fast Scalable Continual Representation for Dynamic Scenes. - Zhenhuan Liu; Shuai Liu; Zhiwei Ning; Jie Yang; Wei Liu (CoRR, 2024)

STDepth: Leveraging semantic-textural information in transformers for self-supervised monocular depth estimation. - Xuanang Gao; Bingchao Wang; Zhiwei Ning; Jie Yang 002; Wei Liu 044 (Comput. Vis. Image Underst., 2025)

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text. - Bingchao Wang; Zhiwei Ning; Jianyu Ding; Xuanang Gao; Yin Li; Dongsheng Jiang; Jie Yang; Wei Liu (CoRR, 2025)