Quality adaptive trained filters for compression artifacts removal. - Ling Shao 001; Jingnan Wang; Ihor O. Kirenko; Gerard de Haan (ICASSP, 2008)

Shape analysis of brain ventricles for improved classification of Alzheimer's patients. - Jingnan Wang; Ahmet Ekin; Gerard de Haan (ICIP, 2008)

Voxel-based discriminant map classification on brain ventricles for Alzheimer's disease. - Jingnan Wang; Gerard de Haan; Devrim Ünay; Octavian Soldea; Ahmet Ekin (Image Processing, 2009)

A review and verification of detection algorithms for DVB-T signals. - Jingnan Wang; Anjum Pervez; Maziar M. Nekovee (CSNDSP, 2010)

Bayesian Blind Deconvolution From Differently Exposed Image Pairs. - S. Derin Babacan; Jingnan Wang; Rafael Molina 001; Aggelos K. Katsaggelos (IEEE Trans. Image Process., 2010)

Security Issues in Online Social Networks. - Hongyu Gao; Jun Hu; Tuo Huang; Jingnan Wang; Yan Chen 004 (IEEE Internet Comput., 2011)

Quality adaptive least squares trained filters for video compression artifacts removal using a no-reference block visibility metric. - Ling Shao 001; Jingnan Wang; Ihor O. Kirenko; Gerard de Haan (J. Vis. Commun. Image Represent., 2011)

Joint Extraction of Events in Chinese Electronic Medical Records. - Jingnan Wang; Jianqiang Li 002; Zhichao Zhu; Qing Zhao 005; Yang Yu; Liyin Yang; Chun Xu (COMPSAC, 2021)

Dynamic 18F-FDG PET imaging of liver lesions: evaluation of a two-tissue compartment model with dual blood input function. - Jingnan Wang; Yunwen Shao; Bowei Liu; Xuezhu Wang; Barbara Katharina Geist; Xiang Li 095; Fang Li; Haitao Zhao; Marcus Hacker; Haiyan Ding; Hui Zhang; Li Huo (BMC Medical Imaging, 2021)

Potential Impacts of Assimilating Every-10-Minute Himawari-8 Satellite Radiance with the POD-4DEnVar Method. - Jingnan Wang; Lifeng Zhang; Jiping Guan; Xiaodong Wang; Mingyang Zhang; Yuan Wang 020 (Remote. Sens., 2021)

Analysis and Visualization of New Energy Vehicle Battery Data. - Wenbo Ren; Xinran Bian; Jiayuan Gong; Anqing Chen; Ming Li; Zhuofei Xia; Jingnan Wang (Future Internet, 2022)

Research on Urban Traffic Incident Detection Based on Vehicle Cameras. - Zhuofei Xia; Jiayuan Gong; Hailong Yu; Wenbo Ren; Jingnan Wang (Future Internet, 2022)

FedEAE: Federated Learning Based Privacy-Preserving Event Argument Extraction. - Fei Hu 005; Shenpo Dong; Tao Chang; Jie Zhou 032; Haili Li; Jingnan Wang; Rui Chen; Haijiao Liu; Xiaodong Wang 002 (NLPCC (2), 2023)

TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking. - Xiaoyu Li; Jingnan Wang; Binhua Huang; Chengliang Liu 004; Yiwen Liu; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Evaluation of Continual Learning Methods for Object Hardness Recognition. - Yiwen Liu; Senlin Fang; Chengliang Liu 004; Jingnan Wang; Ke Mai; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Underwater Object Detection Based on DN-DETR. - Ke Mai; Wen Cheng; Jingnan Wang; Shilan Liu; Yiru Wang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Attention-enhanced BLSTM Network for Liquid Volume Estimation based on Tactile Sensing. - Yuanzhe Su; Jingnan Wang; Binhua Huang; Xiaoyu Li; Yiwen Liu; Chengliang Liu 004; Zhenning Zhou; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction. - Jie Zhou 032; Shenpo Dong; Yunxin Huang; Meihan Wu; Haili Li; Jingnan Wang; Hongkui Tu; Xiaodong Wang 002 (Trans. Assoc. Comput. Linguistics, 2023)

Assessing the Macroeconomic Consequences of External Financial Upheavals on China: A Caution of a Silicon Valley Bank's Collapse. - Jingnan Wang; Yugang He (Axioms, 2023)

A quantitative clinical evaluation of simultaneous reconstruction of attenuation and activity in time-of-flight PET. - Haiqiong Zhang; Jingnan Wang; Nan Li; Yue Zhang; Jie Cui; Li Huo; Hui Zhang (BMC Medical Imaging, 2023)

Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. - Senlin Fang; Yiwen Liu; Chengliang Liu 004; Jingnan Wang; Yuanzhe Su; Yupo Zhang; Hoiio Kong; Zhengkun Yi; Xinyu Wu 001 (ICRA, 2024)

FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. - Meihan Wu; Li Li 064; Tao Chang; Peng Qiao; Cui Miao; Jie Zhou 032; Jingnan Wang; Xiaodong Wang 002 (IWQoS, 2024)

STPF-Net: Short-Term Precipitation Forecast Based on a Recurrent Neural Network. - Jingnan Wang; Xiaodong Wang; Jiping Guan; Lifeng Zhang; Fuhan Zhang; Tao Chang (Remote. Sens., 2024)

Multi-Branch Multi-Scale Channel Fusion Graph Convolutional Networks With Transfer Cost for Robotic Tactile Recognition Tasks. - Yupo Zhang; Xiaoyu Li; Senlin Fang; Yiwen Liu; Jingnan Wang; Bo Yuan 006; Zhengkun Yi (IEEE Trans Autom. Sci. Eng., 2025)

Fine-Grained Controllable Apparel Showcase Image Generation via Garment-Centric Outpainting. - Rong Zhang; Jingnan Wang; Zhiwen Zuo; Jianfeng Dong; Wei Li; Chi Wang; Weiwei Xu; Xun Wang 007 (CoRR, 2025)

Generative assimilation and prediction for weather and climate. - Shangshang Yang; Congyi Nai; Xinyan Liu; Weidong Li; Jie Chao; Jingnan Wang; Leyi Wang; Xichen Li; Xi Chen; Bo Lu; Ziniu Xiao; Niklas Boers; et al. (CoRR, 2025)

A temporal evolution and fine-grained information aggregation model for citation count prediction. - Zhengang Zhang; Chuanming Yu; Jingnan Wang; Lu An (Scientometrics, 2025)

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast. - Jingnan Wang; Jie Chao; Shangshang Yang; Congyi Nai; Kaijun Ren; Kefeng Deng; Xi Chen; Yaxin Liu; Hanqiuzi Wen; Ziniu Xiao; Lifeng Zhang; Xiaodong Wang; et al. (CoRR, 2025)