DWS-MKL: Depth-width-scaling multiple kernel learning for data classification. - Tingting Wang 011; Huayou Su; Junbao Li (Neurocomputing, 2020)

SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition. - Tingting Wang 011; Lei Xu; Junbao Li (Neurocomputing, 2021)

Depth and Width Changeable Network-Based Deep Kernel Learning-Based Hyperspectral Sensor Data Analysis. - Jing Liu; Tingting Wang 011; Yulong Qiao (Wirel. Commun. Mob. Comput., 2021)

Slim-RFFNet: Slim deep convolution random Fourier feature network for image classification. - Tingting Wang 011; Bo Dong; Kaichun Zhang; Junbao Li; Lei Xu (Knowl. Based Syst., 2022)

Spectral-Spatial Classification of Few Shot Hyperspectral Image With Deep 3-D Convolutional Random Fourier Features Network. - Tingting Wang 011; Huanyu Liu; Junbao Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Diffeomorphic matching with multiscale kernels based on sparse parameterization for cross-view target detection. - Xiaomin Liu; Donghua Yuan; Kai Xue; Jun-Bao Li; Huaqi Zhao; Huanyu Liu; Tingting Wang 011 (Appl. Intell., 2023)

A proxy-data-based hierarchical adversarial patch generation method. - Jiawei Liu; Xun Gong 007; Tingting Wang 011; Yunfeng Hu; Hong Chen 003 (Comput. Vis. Image Underst., 2024)

DK-Former: A Hybrid Structure of Deep Kernel Gaussian Process Transformer Network for Enhanced Traffic Sign Recognition. - Tingting Wang 011; Yunfeng Hu; Qiang Fang; Banben He; Xun Gong 007; Ping Wang 011 (IEEE Trans. Intell. Transp. Syst., 2024)

Harnessing and Evaluating the Intrinsic Extrapolation Ability of Large Language Models for Vehicle Trajectory Prediction. - Jiawei Liu; Yanjiao Liu; Xun Gong 007; Tingting Wang 011; Hong Chen 003; Yunfeng Hu (NAACL (Long Papers), 2025)

Multiscale Graph Transformer Network With Dynamic Superpixel Pyramid for Hyperspectral Image Classification. - Tingting Wang 011; Yao Sun; Yunfeng Hu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Comprehensive Study on Self-Learning Methods and Implications to Autonomous Driving. - Jiaming Xing; Dengwei Wei; Shanghang Zhou; Tingting Wang 011; Yanjun Huang; Hong Chen 003 (IEEE Trans. Neural Networks Learn. Syst., 2025)