A location-based social network system integrating mobile augmented reality and user generated content. - Yuanwen Yue; Jiaqi Ding; Yuhao Kang; Yueyao Wang; Kunlin Wu; Teng Fei 001 (LocalRec@SIGSPATIAL, 2019)

A Deep Supervision CNN Network for Brain Tumor Segmentation. - Shiqiang Ma; Zehua Zhang; Jiaqi Ding; Xuejian Li; Jijun Tang; Fei Guo 001 (BrainLes@MICCAI (2), 2020)

Mapping of Forest Height in Northwest Hunan, China Using Multi-Source Satellite Data. - Wankun Min; Jiaqi Ding; Wenli Huang; Yingchun Liu; Yang Hu 012 (IGARSS, 2021)

Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. - Zehua Zhang; Jiaqi Ding; Junhai Xu; Jijun Tang; Fei Guo 001 (IEEE J. Biomed. Health Informatics, 2021)

Scalable multi-task Gaussian processes with neural embedding of coregionalization. - Haitao Liu 002; Jiaqi Ding; Xinyu Xie; Xiaomo Jiang; Yusong Zhao; Xiaofang Wang (Knowl. Based Syst., 2022)

Res2Unet: A multi-scale channel attention network for retinal vessel segmentation. - Xuejian Li; Jiaqi Ding; Jijun Tang; Fei Guo 001 (Neural Comput. Appl., 2022)

High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Carolyn M. McCormick; Felix A. Kyere; Minjeong Kim; David Borland; Jason L. Stein; Guorong Wu 001 (ISBI, 2023)

A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Mustafa Dere; Guorong Wu 001 (MICCAI (4), 2023)

Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals. - Tingting Dan; Jiaqi Ding; Ziquan Wei; Shahar Z. Kovalsky; Minjeong Kim; Won Hwa Kim; Guorong Wu 001 (NeurIPS, 2023)

A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization. - Jiaqi Ding; Junhai Xu; Jianguo Wei; Jijun Tang; Fei Guo 001 (Expert Syst. Appl., 2023)

IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction. - Mingliang Dou; Jiaqi Ding; Genlang Chen; Junwen Duan; Fei Guo 001; Jijun Tang (Briefings Bioinform., 2023)

Reconstruction of Human-Induced Forest Loss in China during 1900-2000. - Yanwen Zhang; Jiaqi Ding; Yueyao Wang; Yajuan Zhang; Yinglu Liu; Lijin Zhang; Muhadaisi Ariken; Tuya Wulan; Wenli Huang; Yan Li; Shuangcheng Li (Remote. Sens., 2023)

A Multi-Objective Geoacoustic Inversion of Modal-Dispersion and Waveform Envelope Data Based on Wasserstein Metric. - Jiaqi Ding; Xiaofeng Zhao; Pinglv Yang; Yapeng Fu (Remote. Sens., 2023)

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Paul J. Laurienti; Guorong Wu 001 (MICCAI (2), 2024)

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Guorong Wu 001 (NeurIPS, 2024)

A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning. - Shanshan Wan; Jiaqi Ding (IEEE Access, 2024)

Machine Learning on Dynamic Functional Connectivity: Promise, Pitfalls, and Interpretations. - Jiaqi Ding; Tingting Dan; Ziquan Wei; Hyuna Cho; Paul J. Laurienti; Won Hwa Kim; Guorong Wu 001 (CoRR, 2024)

BrainMAP: Learning Multiple Activation Pathways in Brain Networks. - Song Wang 013; Zhenyu Lei 004; Zhen Tan 001; Jiaqi Ding; Xinyu Zhao; Yushun Dong; Guorong Wu 001; Tianlong Chen 001; Chen Chen 022; Aiying Zhang; Jundong Li (AAAI, 2025)

Multivariate Time Series Prediction Model for Data with Missing. - Jing Wang; Jiaqi Ding; Jianli Ding (ICIC (8), 2025)

Loss Mechanism and Acoustic Dispersion in FBARs via Vibration Visualization by Femtosecond Pulsed Laser Interferometry. - Zhaoliang Peng; Jiaqi Ding; Xingyu Wei; Junfeng Zhou; Yan Liu 065; Chengliang Sun; Wen-Ming Zhang; Lei Shao (IEEE Trans. Instrum. Meas., 2025)