Jiaqi Ding

According to our database, Jiaqi Ding authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Chengliang Sun, Wen-Ming Zhang, Lei Shao

IEEE Trans. Instrum. Meas., 2025

Multivariate Time Series Prediction Model for Data with Missing.

Jing Wang, Jiaqi Ding, Jianli Ding

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

BrainMAP: Learning Multiple Activation Pathways in Brain Networks.

Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

CoRR, 2024

A Recommendation Method Based on Multi-Source Heterogeneous Hypergraphs and Contrastive Learning.

Shanshan Wan, Jiaqi Ding

IEEE Access, 2024

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes.

Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages.

Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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., October, 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., August, 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, Jijun Tang

Briefings Bioinform., May, 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

Expert Syst. Appl., 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Res2Unet: A multi-scale channel attention network for retinal vessel segmentation.

Xuejian Li, Jiaqi Ding, Jijun Tang, Fei Guo

Neural Comput. Appl., 2022

Scalable multi-task Gaussian processes with neural embedding of coregionalization.

Haitao Liu, Jiaqi Ding, Xinyu Xie, Xiaomo Jiang, Yusong Zhao, Xiaofang Wang

Knowl. Based Syst., 2022

2021

Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis.

Zehua Zhang, Jiaqi Ding, Junhai Xu, Jijun Tang, Fei Guo

IEEE J. Biomed. Health Informatics, 2021

Mapping of Forest Height in Northwest Hunan, China Using Multi-Source Satellite Data.

Wankun Min, Jiaqi Ding, Wenli Huang, Yingchun Liu, Yang Hu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

A Deep Supervision CNN Network for Brain Tumor Segmentation.

Shiqiang Ma, Zehua Zhang, Jiaqi Ding, Xuejian Li, Jijun Tang, Fei Guo

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

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

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2019