Face Anti-spoofing based on Deep Stack Generalization Networks. - Xin Ning 001; Weijun Li 002; Meili Wei; Linjun Sun; Xiaoli Dong (ICPRAM, 2018)

Adaptive Learning Gabor Filter for Finger-Vein Recognition. - Yakun Zhang 002; Weijun Li 002; Liping Zhang; Xin Ning 001; Linjun Sun; Yaxuan Lu (IEEE Access, 2019)

LGCN: Learnable Gabor Convolution Network for Human Gender Recognition in the Wild. - Peng Chen; Weijun Li 002; Linjun Sun; Xin Ning 001; Lina Yu; Liping Zhang (IEICE Trans. Inf. Syst., 2019)

A Local Descriptor with Physiological Characteristic for Finger Vein Recognition. - Liping Zhang; Weijun Li 002; Xin Ning 001; Linjun Sun; Xiaoli Dong (ICPR, 2020)

BDARS_CapsNet: Bi-Directional Attention Routing Sausage Capsule Network. - Xin Ning 001; Weijuan Tian; Weijun Li 002; Yueyue Lu; Shuai Nie; Linjun Sun; Ziheng Chen 002 (IEEE Access, 2020)

GmFace: A Mathematical Model for Face Image Representation Using Multi-Gaussian. - Liping Zhang; Weijun Li 002; Lina Yu; Xiaoli Dong; Linjun Sun; Xin Ning 001; Jian Xu; Hong Qin 007 (CoRR, 2020)

Gradient-Enhanced Softmax for Face Recognition. - Linjun Sun; Weijun Li 002; Xin Ning 001; Liping Zhang; Xiaoli Dong; Wei He (IEICE Trans. Inf. Syst., 2020)

An Efficient Joint Bayesian Model with Soft Biometric Traits for Finger Vein Recognition. - Liping Zhang; Linjun Sun; Xiaoli Dong; Lina Yu; Weijun Li 002; Xin Ning 001 (CCBR, 2021)

Learning Continuous Face Representation with Explicit Functions. - Liping Zhang; Weijun Li 002; Linjun Sun; Lina Yu; Xin Ning 001; Xiaoli Dong; Jian Xu; Hong Qin 007 (CoRR, 2021)

GmFace: An explicit function for face image representation. - Liping Zhang; Weijun Li 002; Lina Yu; Linjun Sun; Xiaoli Dong; Xin Ning 001 (Displays, 2021)

Transcendental equation solver: A novel neural network for solving transcendental equation. - Jingyi Liu; Guojun Wang 005; Weijun Li 002; Linjun Sun; Liping Zhang; Lina Yu (Appl. Soft Comput., 2022)

Harnessing semantic segmentation masks for accurate facial attribute editing. - Peng Chen; Qi Xiao; Jian Xu; Xiaoli Dong; Linjun Sun; Weijun Li 002; Xin Ning 001; Guojun Wang 005; Ziheng Chen 002 (Concurr. Comput. Pract. Exp., 2022)

AGCNN: Adaptive Gabor Convolutional Neural Networks with Receptive Fields for Vein Biometric Recognition. - Yakun Zhang 002; Weijun Li 002; Liping Zhang; Xin Ning 001; Linjun Sun; Yaxuan Lu (Concurr. Comput. Pract. Exp., 2022)

An efficient sparse pruning method for human pose estimation. - Mingyang Wang; Tianyi Sun; Kang Song; Shuang Li; Jing Jiang; Linjun Sun (Connect. Sci., 2022)

Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution. - Zaiyang Yu; Shuang Li; Linjun Sun; Liang Liu; Haining Wang (Connect. Sci., 2022)

Technology investigation on time series classification and prediction. - Yuerong Tong; Jingyi Liu; Lina Yu; Liping Zhang; Linjun Sun; Weijun Li 002; Xin Ning 001; Jian Xu; Hong Qin 007; Qiang Cai (PeerJ Comput. Sci., 2022)

ARFace: Attention-Aware and Regularization for Face Recognition With Reinforcement Learning. - Liping Zhang; Linjun Sun; Lina Yu; Xiaoli Dong; Jinchao Chen; Weiwei Cai 001; Chen Wang 026; Xin Ning 001 (IEEE Trans. Biom. Behav. Identity Sci., 2022)

Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis. - Changshuo Wang 001; Xin Ning 001; Linjun Sun; Liping Zhang; Weijun Li 002; Xiao Bai 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an Autoencoder. - Guojun Wang 005; Weijun Li 002; Liping Zhang; Linjun Sun; Peng Chen; Lina Yu; Xin Ning 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Transformer-based model for symbolic regression via joint supervised learning. - Wenqiang Li; Weijun Li; Linjun Sun; Min Wu; Lina Yu; Jingyi Liu; Yanjie Li; Songsong Tian (ICLR, 2023)

Multi-angle head pose classification with masks based on color texture analysis and stack generalization. - Shuang Li; Xiaoli Dong; Yuan Shi; Baoli Lu; Linjun Sun; Wenfa Li (Concurr. Comput. Pract. Exp., 2023)

Blind image quality assessment based on the multiscale and dual-domains features fusion. - Yaxuan Lu; Weijun Li 002; Xin Ning 001; Xiaoli Dong; Liping Zhang; Linjun Sun; Chuantong Cheng (Concurr. Comput. Pract. Exp., 2023)

SNR: Symbolic network-based rectifiable learning framework for symbolic regression. - Jingyi Liu; Weijun Li 002; Lina Yu; Min Wu; Linjun Sun; Wenqiang Li; Yanjie Li (Neural Networks, 2023)

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. - Wenqiang Li; Weijun Li; Lina Yu; Min Wu; Linjun Sun; Jingyi Liu; Yanjie Li; Shu Wei; Yusong Deng; Meilan Hao (ICML, 2024)

Adaptively identify and refine ill-posed regions for accurate stereo matching. - Changlin Liu; Linjun Sun; Xin Ning 001; Jian Xu; Lina Yu; Kaijie Zhang; Weijun Li 002 (Neural Networks, 2024)

Learning to represent 2D human face with mathematical model. - Liping Zhang; Weijun Li 002; Linjun Sun; Lina Yu; Xin Ning 001; Xiaoli Dong (CAAI Trans. Intell. Technol., 2024)

Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework. - Min Wu; Weijun Li 002; Lina Yu; Linjun Sun; Jingyi Liu; Wenqiang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies. - Jingqi Yang; Zhilong Song; Jiawei Chen; Mingli Song; Sheng Zhou; Linjun Sun; Xiaogang Ouyang; Chun Chen; Can Wang (CoRR, 2025)