Dependency driven partitioning objects generation for hardware/software partitioning. - Shengtian Sang; Xiaoming Li 002; Yizheng Ye (ISCAS, 2006)

A method for predicting protein complex in dynamic PPI networks. - Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Yiwei Liu; Shengtian Sang (BMC Bioinform., 2016)

PC-SENE: A node embedding based method for protein complex detection. - Xiaoxia Liu; Zhihao Yang; Shengtian Sang; Lei Wang 085; Yin Zhang 009; Hongfei Lin; Bo Xu 009; Yijia Zhang 001; Liang Yang 003; Kan Xu; Jian Wang 021 (BIBM, 2018)

A Knowledge Graph based Bidirectional Recurrent Neural Network Method for Literature-based Discovery. - Shengtian Sang; Zhihao Yang; Xiaoxia Liu; Lei Wang 085; Yin Zhang 009; Hongfei Lin; Jian Wang 021; Liang Yang 003; Kan Xu; Yijia Zhang 001 (BIBM, 2018)

Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. - Xiaoxia Liu; Zhihao Yang; Shengtian Sang; Ziwei Zhou; Lei Wang 085; Yin Zhang 009; Hongfei Lin; Jian Wang 021; Bo Xu 008 (BMC Bioinform., 2018)

SemaTyP: a knowledge graph based literature mining method for drug discovery. - Shengtian Sang; Zhihao Yang; Lei Wang 085; Xiaoxia Liu; Hongfei Lin; Jian Wang 021 (BMC Bioinform., 2018)

Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. - Feng Ding 004; Xiangjie Kong 001; Zhehuan Zhao; Feng Xia 001; Anfu Liu; Chenxu Bai; Bo Xu 008; Xiaoxia Liu; Shengtian Sang; Hongfei Lin; Zhihao Yang; Jian Wang 021 (BIBM, 2019)

GrEDeL: A Knowledge Graph Embedding Based Method for Drug Discovery From Biomedical Literatures. - Shengtian Sang; Zhihao Yang; Xiaoxia Liu; Lei Wang 085; Hongfei Lin; Jian Wang 021; Michel Dumontier (IEEE Access, 2019)

Detection of protein complexes from multiple protein interaction networks using graph embedding. - Xiaoxia Liu; Zhihao Yang; Shengtian Sang; Hongfei Lin; Jian Wang 021; Bo Xu 008 (Artif. Intell. Medicine, 2019)

Relation path feature embedding based convolutional neural network method for drug discovery. - Di Zhao 003; Jian Wang 021; Shengtian Sang; Hongfei Lin; Jiabin Wen; Chunmei Yang (BMC Medical Informatics Decis. Mak., 2019)

Using Alias Sampling Strategy Based on Network Embeddings to Detect Protein Complexes. - Xiaoxia Liu; Shengtian Sang; Xiaoxu Wang (IEEE Access, 2020)

Bearing fault diagnosis based on combined multi-scale weighted entropy morphological filtering and bi-LSTM. - Fengqian Zou; Haifeng Zhang 004; Shengtian Sang; Xiaoming Li 002; Wanying He; Xiaowei Liu (Appl. Intell., 2021)

Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. - Harris Carmichael; Jean Coquet; Ran Sun; Shengtian Sang; Danielle Groat; Steven M. Asch; Joseph Bledsoe; Ithan D. Peltan; Jason R. Jacobs; Tina Hernandez-Boussard (J. Biomed. Informatics, 2021)

A Scalable Embedding Based Neural Network Method for Discovering Knowledge From Biomedical Literature. - Shengtian Sang; Xiaoxia Liu; Xiaoyu Chen; Di Zhao 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation. - Yiqing Wang; Zihan Li; Jieru Mei; Zihao Wei; Li Liu 046; Chen Wang 049; Shengtian Sang; Alan L. Yuille; Cihang Xie; Yuyin Zhou (MICCAI (3), 2023)

Small-Object Sensitive Segmentation Using Across Feature Map Attention. - Shengtian Sang; Yuyin Zhou; Md Tauhidul Islam; Lei Xing 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation. - Xiaodi Hou; Zhi Liu; Xiaobo Li 007; Xingwang Li 003; Shengtian Sang; Yijia Zhang 001 (J. Biomed. Informatics, 2023)

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound. - Lichun Zhang; Steve Ran Zhou; Moon Hyung Choi; Jeong Hoon Lee 001; Shengtian Sang; Adam Kinnaird; Wayne G. Brisbane; Giovanni Lughezzani; Davide Maffei; Vittorio Fasulo; Patrick Albers; Sulaiman Vesal; et al. (CoRR, 2024)

GOL-SFSTS based few-shot learning mechanical anomaly detection using multi-channel audio signal. - Fengqian Zou; Xiaoming Li 002; Yuqing Li; Shengtian Sang; Ming Jiang; Haifeng Zhang 004 (Knowl. Based Syst., 2024)

Recalibrated cross-modal alignment network for radiology report generation with weakly supervised contrastive learning. - Xiaodi Hou; Xiaobo Li 007; Zhi Liu; Shengtian Sang; Mingyu Lu; Yi-Jia Zhang 001 (Expert Syst. Appl., 2025)

Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study. - Hassan Jahanandish; Shengtian Sang; Cynthia Xinran Li; Sulaiman Vesal; Indrani Bhattacharya; Jeong Hoon Lee 001; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2025)

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer. - Jeong Hoon Lee 001; Cynthia Xinran Li; Hassan Jahanandish; Indrani Bhattacharya; Sulaiman Vesal; Lichun Zhang; Shengtian Sang; Moon Hyung Choi; Simon John Christoph Soerensen; Steve Ran Zhou; Elijah Richard Sommer; Richard E. Fan; et al. (CoRR, 2025)

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images. - Shengtian Sang; Hassan Jahanandish; Cynthia Xinran Li; Indrani Bhattachary; Jeong Hoon Lee 001; Lichun Zhang; Sulaiman Vesal; Pejman Ghanouni; Richard E. Fan; Geoffrey A. Sonn; Mirabela Rusu (CoRR, 2025)