| 2025 | IJCNN | ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP. | Chengyun Deng, Shuzhong Lai, Chi Zhou, Mengyi Bao, Jingwen Yan, Haifeng Li, Lin Yao, Yueming Wang |
| 2025 | NDSS | SKILLPoV: Towards Accessible and Effective Privacy Notice for Amazon Alexa Skills. | Jingwen Yan, Song Liao, Mohammed Aldeen, Luyi Xing, Danfeng Yao, Long Cheng |
| 2024 | AIME | Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. | Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan |
| 2024 | ICASSP | Rate-Quality Based Rate Control Model for Neural Video Compression. | Shuhong Liao, Chuanmin Jia, Hongfei Fan, Jingwen Yan, Siwei Ma |
| 2024 | ICPR | PotC2Vox: A Point Cloud Data-Driven 3D Reconstruction Method for Single-View Images. | Jianqiang Sheng, Siwei Chen, Fei Wang, Yongsheng Zhao, Zhineng Zhang, Kai Jiang, Xunan Pan, Jingwen Yan |
| 2024 | WWW | Understanding GDPR Non-Compliance in Privacy Policies of Alexa Skills in European Marketplaces. | Song Liao, Mohammed Aldeen, Jingwen Yan, Long Cheng, Xiapu Luo, Haipeng Cai, Hongxin Hu |
| 2019 | ICIG | Adaptive and Rotating Non-local Weighted Joint Sparse Representation Classification for Hyperspectral Images. | Jingwen Yan, Hongda Chen, Zixin Xie, Lei Liu |
| 2019 | ICIG | Road Detection of Remote Sensing Image Based on Convolutional Neural Network. | Yuting Zhu, Jingwen Yan, Cong Wang, Yiqing Zhou |
| 2019 | MICCAI | Rapid Acceleration of the Permutation Test via Transpositions. | Moo K. Chung, Linhui Xie, Shih-Gu Huang, Yixian Wang, Jingwen Yan, Li Shen |
| 2019 | MICCAI | Multi-modal Image Prediction via Spatial Hybrid U-Net. | Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu |
| 2019 | MICCAI | A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. | Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu |
| 2018 | MICCAI | Heritability Estimation of Reliable Connectomic Features. | Linhui Xie, Enrico Amico, Paul Salama, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaqun Goi, Jingwen Yan, Li Shen |
| 2017 | ICASSP | Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. | Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2017 | ICIG | Research on Color Image Segmentation. | Jingwen Yan, Xiaopeng Chen, Tingting Xie, Huimin Zhao |
| 2017 | ICIG | An Algorithm for Tight Frame Grouplet to Compute Association Fields. | Jingwen Yan, Zhenguo Yuan, Tingting Xie, Huimin Zhao |
| 2017 | MICCAI | Transcriptome-Guided Imaging Genetic Analysis via a Novel Sparse CCA Algorithm. | Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2017 | PSB | Identification of Discriminative Imaging Proteomics Associations in Alzheimer's Disease via a Novel Sparse Correlation Model>. | Jingwen Yan, Shannon L. Risacher, Kwangsik Nho, Andrew J. Saykin, Li Shen |
| 2017 | RECOMB | Longitudinal Genotype-Phenotype Association Study via Temporal Structure Auto-learning Predictive Model. | Xiaoqian Wang, Jingwen Yan, Xiaohui Yao, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher, Andrew J. Saykin, Li Shen, Heng Huang |
| 2016 | PSB | Diagnosis-Guided Method for Identifying Multi-Modality Neuroimaging Biomarkers Associated with Genetic Risk Factors in Alzheimer's Disease. | Xiaoke Hao, Jingwen Yan, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Daoqiang Zhang, Li Shen |
| 2015 | MICCAI | Identifying Connectome Module Patterns via New Balanced Multi-graph Normalized Cut. | Hongchang Gao, Chengtao Cai, Jingwen Yan, Lin Yan, Joaqun Goi Cortes, Yang Wang, Feiping Nie, John D. West, Andrew J. Saykin, Li Shen, Heng Huang |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2014 | MICCAI | Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. | De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang |
| 2013 | MICCAI | A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. | Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen |
| 2013 | MICCAI | Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. | Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2012 | CVPR | Sparse Bayesian multi-task learning for predicting cognitive outcomes from neuroimaging measures in Alzheimer's disease. | Jing Wan, Zhilin Zhang, Jingwen Yan, Taiyong Li, Bhaskar D. Rao, Shiaofen Fang, Sungeun Kim, Shannon L. Risacher, Andrew J. Saykin, Li Shen |
| 2012 | MICCAI | Multimodal Neuroimaging Predictors for Cognitive Performance Using Structured Sparse Learning. | Jingwen Yan, Shannon L. Risacher, Sungeun Kim, Jacqueline C. Simon, Taiyong Li, Jing Wan, Hua Wang, Heng Huang, Andrew J. Saykin, Li Shen |
| 2011 | ICIG | Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization. | Xiaofen Lin, Gang Lu, Jingwen Yan, Wei Lin |
| 2008 | ISKE | The cycle spinning-based sharp frequency localized contourlet transform for image denoising. | Xiaobo Qu, Jingwen Yan |
| 2008 | ISKE | A wavelet-based 3D surfacelet transform. | Hongzhi Xiao, Jingwen Yan, Xiaoyan Zhang |
| 2008 | ISKE | A novel inter-scale correlation image denoising method based on Dual-tree M-band wavelet. | Jingwen Yan, Guide Yang, Anfa Zhang |
| 2008 | ISKE | SAR image denoising based on orthogonal bandlet domain with context modeling. | Anfa Zhang, Jingwen Yan, Zhixi Wang |