Hybrid Modeling for Nosiheptide Fermentation Process Based on Prior Knowledge and SVM. - Haifeng Sang; Weiqi Yuan; Zhijia Zhang (ICNC (1), 2007)

Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling. - Haifeng Sang; Weiqi Yuan; Fuli Wang; Dakuo He (ISNN (3), 2007)

Research of Palmprint Recognition Based on 2DPCA. - Haifeng Sang; Weiqi Yuan; Zhijia Zhang (ISNN (2), 2009)

Research on a Class of Nonlinear Matrix Equation. - Jiating Fang; Haifeng Sang; Qingchun Li; Bo Wang (BIC-TA, 2014)

On the Theory of Nonlinear Matrix Equation X s = Q + A H (I ⊗ X - C)- δ A. - Wei Liu; Haifeng Sang; Qingchun Li; Chunwei Zhai (BIC-TA, 2014)

A New Method for Singular Polynomial Systems. - Haifeng Sang; Panpan Liu; Qingchun Li; Yan Li (BIC-TA, 2014)

A Verified Algorithm for the Centrosymmetric Solution of Sylvester Matrix Equations. - Haifeng Sang; Ziyu Li; Ying Cui; Qingchun Li (BIC-TA, 2015)

Gesture Detection and Recognition Fused with Multi-feature Based on Kinect. - Haifeng Sang; Wei Li (CCBR, 2015)

Verified error bounds for singular solutions of nonlinear systems. - Zhe Li; Haifeng Sang (Numer. Algorithms, 2015)

Verified Error Bounds for Symmetric Solutions of Operator Matrix Equations. - Qingchun Li; Ziyu Li; Haifeng Sang; Panpan Liu (BIC-TA (2), 2016)

Fast Algorithms for Verifying Centrosymmetric Solutions of Sylvester Matrix Equations. - Ziyu Li; Haifeng Sang; Ying Zhao (BIC-TA (2), 2016)

The Subideal Version of the SOI-Algorithm and Its Application. - Haifeng Sang; Qingchun Li (BIC-TA (2), 2016)

A Sign Language Recognition System in Complex Background. - Haifeng Sang; Hongjiao Wu (CCBR, 2016)

Two-Level Attention Model Based Video Action Recognition Network. - Haifeng Sang; Ziyu Zhao; Dakuo He (IEEE Access, 2019)

Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification. - Haifeng Sang; Chuanzheng Wang; Dakuo He; Qing Liu 012 (Comput. Intell. Neurosci., 2019)

Human Motion prediction based on attention mechanism. - Haifeng Sang; Zi-Zhen Chen; Dakuo He (Multim. Tools Appl., 2020)

Practical Criteria for H-Tensors and Their Application. - Min Li; Haifeng Sang; Panpan Liu; Guorui Huang (Symmetry, 2022)

Design of wireless in-pipe inspection robot for image acquisition. - Kunlun Wu; Haifeng Sang; Yanhao Xing; Yao Lu (Ind. Robot, 2023)

PB-Trajectron: Physics bounded neural network for generalized trajectory prediction. - Haifeng Sang; Zishan Zhao; Jinyu Wang 003; Wangxing Chen; Siyu Li (Comput. Electr. Eng., 2024)

Neural differential constraint-based pedestrian trajectory prediction model in ego-centric perspective. - Jinyu Wang 003; Haifeng Sang; Quankai Liu; Wangxing Chen; Zishan Zhao (Eng. Appl. Artif. Intell., 2024)

Physics constrained pedestrian trajectory prediction with probability quantification. - Haifeng Sang; Jinyu Wang 003; Quankai Liu; Wangxing Chen; Zishan Zhao (Expert Syst. Appl., 2024)

DSTCNN: Deformable spatial-temporal convolutional neural network for pedestrian trajectory prediction. - Wangxing Chen; Haifeng Sang; Jinyu Wang 003; Zishan Zhao (Inf. Sci., 2024)

Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction. - Quankai Liu; Haifeng Sang; Jinyu Wang 003; Wangxing Chen; Yulong Liu (Image Vis. Comput., 2024)

MSTCNN: multi-modal spatio-temporal convolutional neural network for pedestrian trajectory prediction. - Haifeng Sang; Wangxing Chen; Haifeng Wang; Jinyu Wang 003 (Multim. Tools Appl., 2024)

STIGCN: spatial-temporal interaction-aware graph convolution network for pedestrian trajectory prediction. - Wangxing Chen; Haifeng Sang; Jinyu Wang 003; Zishan Zhao (J. Supercomput., 2024)

Supernode Fusion Model Based on Bimodal Action Recognition. - Haifeng Sang; Yumeng Liu (J. Signal Process. Syst., 2024)

WTGCN: wavelet transform graph convolution network for pedestrian trajectory prediction. - Wangxing Chen; Haifeng Sang; Jinyu Wang 003; Zishan Zhao (Int. J. Mach. Learn. Cybern., 2024)

CWGCN: Cascaded Wavelet Graph Convolution Network for pedestrian trajectory prediction. - Wangxing Chen; Haifeng Sang; Zishan Zhao (Comput. Electr. Eng., 2025)

Group vehicle trajectory prediction model based on multi-graph fusion. - Haifeng Sang; Siyu Li; Jinyu Wang 003; Wangxing Chen; Zishan Zhao (Comput. Electr. Eng., 2025)

IGGCN: Individual-guided graph convolution network for pedestrian trajectory prediction. - Wangxing Chen; Haifeng Sang; Jinyu Wang 003; Zishan Zhao (Digit. Signal Process., 2025)

HP-BEV: a bird's-eye view segmentation model based on spatial height modeling. - Haifeng Sang; Haozhe Cheng (J. Electronic Imaging, 2025)

Nighttime pedestrian detection using crossed wavelet fusion networks. - Haifeng Sang; Xingcheng Peng (J. Electronic Imaging, 2025)

Anomaly detection method of surveillance video based on global-local information. - Yuwei Wu; Haifeng Sang; Fei Li (Knowl. Based Syst., 2025)

Enhancing video pedestrian detection with tracking-information-aided framework and multi-scale feature optimization. - Haifeng Sang; Pengkai Suo (Signal Image Video Process., 2025)

Important people detection based on multi-level key actor interaction graph. - Haifeng Sang; Yanming Guo (Signal Image Video Process., 2025)

DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory Prediction. - Wangxing Chen; Haifeng Sang; Jinyu Wang 003; Zishan Zhao (IEEE Trans. Intell. Transp. Syst., 2025)

MGFormer: a multi-information-based GRU-transformer network for pedestrian trajectory prediction. - Quankai Liu; Haifeng Sang; Jinyu Wang 003; Wangxing Chen (J. Supercomput., 2025)

PCHGCN: Physically Constrained Higher-Order Graph Convolutional Network for Pedestrian Trajectory Prediction. - Wangxing Chen; Haifeng Sang; Zishan Zhao (IEEE Internet Things J., 2025)

DP-SORT:Research on a density-layered association MOT algorithm integrating human pose information. - Haifeng Sang; Xiufen Fu (Signal Image Video Process., 2025)

MRTBF-Net: A Multi-Relation Three-Branch Fusion Transformer with Cross-Modal Context for Human-Object Interaction Detection. - Haifeng Sang; Huabao Li (Signal Image Video Process., 2025)