An interacting multipattern data association (IMPDA) tracking algorithm. - Lang Hong; Ningzhou Cui; Shan Cong; Devert Wicker (Signal Process., 1998)

Wavelets feature aided tracking (WFAT) using GMTI/HRR data. - Lang Hong; Shan Cong; Mark T. Pronobis; Stephen Scott (Signal Process., 2003)

Distributed multirate interacting multiple model fusion (DMRIMMF) with application to out-of-sequence GMTI data. - Lang Hong; Shan Cong; Devert Wicker (IEEE Trans. Autom. Control., 2004)

Reliable road vehicle collision prediction with constrained filtering. - Shi Shen; Lang Hong; Shan Cong (Signal Process., 2006)

Development of automatic control system for finishing of precise flat steel. - Dongbin Li; Peng Wang; Chao Liang; Shan Cong; Ying Li; Ting Chen (EMEIT, 2011)

Development of automatic control system for supplying cold water based on PLC and configuration software. - Peng Wang; Dongbin Li; Shan Cong; Chao Liang (EMEIT, 2011)

Structural Basis for the Mutation-Induced Dysfunction of Human CYP2J2: A Computational Study. - Shan Cong; Xiao-Tu Ma; Yi-Xue Li; Jing-Fang Wang (J. Chem. Inf. Model., 2013)

Building a surface atlas of hippocampal subfields from MRI scans using FreeSurfer, FIRST and SPHARM. - Shan Cong; Maher E. Rizkalla; Eliza Y. Du; John D. West; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MWSCAS, 2014)

Surface-based morphometric analysis of hippocampal subfields in mild cognitive impairment and Alzheimer's disease. - Shan Cong; Maher E. Rizkalla; Paul Salama; John D. West; Shannon L. Risacher; Andrew J. Saykin; Li Shen 001 (MWSCAS, 2015)

A New Statistical Image Analysis Approach and Its Application to Hippocampal Morphometry. - Mark Inlow; Shan Cong; Shannon L. Risacher; John D. West; Maher E. Rizkalla; Paul Salama; Andrew J. Saykin; Li Shen 001 (MIAR, 2016)

Building a surface atlas of hippocampal subfields from high resolution T2-weighted MRI scans using landmark-free surface registration. - Shan Cong; Maher E. Rizkalla; Paul Salama; Shannon L. Risacher; John D. West; Yu-Chien Wu; Liana G. Apostolova; Eileen F. Tallman; Andrew J. Saykin; Li Shen 001 (MWSCAS, 2016)

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. - Ayagoz Mussabayeva; Alexey Kroshnin; Anvar Kurmukov; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris A. Gutman (ShapeMI@MICCAI, 2018)

Mining Regional Imaging Genetic Associations via Voxel-wise Enrichment Analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (BHI, 2019)

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. - Ayagoz Mussabayeva; Maxim Pisov; Anvar Kurmukov; Alexey Kroshnin; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris Gutman (MBIA/MFCA@MICCAI, 2019)

Regional imaging genetic enrichment analysis. - Xiaohui Yao; Shan Cong; Jingwen Yan; Shannon L. Risacher; Andrew J. Saykin; Jason H. Moore; Li Shen 001 (Bioinform., 2020)

Task Inference for Offline Meta Reinforcement Learning via Latent Shared Knowledge. - Ying Zhou; Shan Cong; Chao Yu (KSEM (4), 2023)

Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data. - Shan Cong; Zhoujie Fan; Hongwei Liu; Yinghan Zhang; Xin Wang; Haoran Luo; Xiaohui Yao (BIBM, 2024)

MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification. - Shan Cong; Zhiling Sang; Hongwei Liu; Haoran Luo; Xin Wang; Hong Liang; Jie Hao; Xiaohui Yao (BIBM, 2024)

Disentangled Task Representation Learning for Offline Meta Reinforcement Learning. - Shan Cong; Chao Yu; Yaowei Wang 001; Dongmei Jiang; Xiangyuan Lan (ICA, 2024)

Automated Concept Indexing for Health Measurement Scale Items through Prompt Learning with Pre-trained Language Models. - Jie Hao; Zhen Guo; Qinglong Peng; Meng Zhang; Liu Shen; Shan Cong; Jiao Li 001; Haixia Sun (ICHI, 2024)

DDASR: Domain-Distance Adapted Super-Resolution Reconstruction of MR Brain Images. - Shan Cong; Kailong Cui; Yuzun Yang; Yang Zhou; Xinxin Wang; Haoran Luo; Yichi Zhang; Xiaohui Yao (SMC, 2024)

MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. - Xiaohui Yao; Xiaohan Jiang; Haoran Luo; Hong Liang; Xiufen Ye; Yanhui Wei; Shan Cong (BioData Min., 2024)

Adversarially Trained Persistent Homology Based Graph Convolutional Network for Disease Identification Using Brain Connectivity. - Chenyuan Bian; Nan Xia; Anmu Xie; Shan Cong; Qian Dong (IEEE Trans. Medical Imaging, 2024)

GREMI: An Explainable Multi-Omics Integration Framework for Enhanced Disease Prediction and Module Identification. - Hong Liang; Haoran Luo; Zhiling Sang; Miao Jia; Xiaohan Jiang; Zheng Wang 035; Shan Cong; Xiaohui Yao (IEEE J. Biomed. Health Informatics, 2024)

MedScaleRE-PF: a prompt-based framework with retrieval-augmented generation, chain-of-thought, and self-verification for scale-specific relation extraction in Chinese medical literature. - Zhenli Chen; Jie Hao; Haixia Sun; Liang Zhao; Jiao Li 001; Qing Qian; Qinglong Peng; Xuwen Wang; Shan Cong; Liu Shen; Zhen Guo; Siyue Pu; et al. (Inf. Process. Manag., 2025)