Face Recognition Based on Discriminative Dictionary with Multilevel Feature Fusion. - Hongjun Li 003; Nicola Nobile; Ching Y. Suen (ANNPR, 2014)

A novel Non-local means image denoising method based on grey theory. - Hongjun Li 003; Ching Y. Suen (Pattern Recognit., 2016)

Robust face recognition based on dynamic rank representation. - Hongjun Li 003; Ching Y. Suen (Pattern Recognit., 2016)

Fall detection based on depth images via wavelet moment. - Yupeng Ding; Hongjun Li 003; Chaobo Li; Ke Xu; Pengzhen Guo (CISP-BMEI, 2017)

Joint object region location and deep feature learning for fall recognition. - Chaobo Li; Hongjun Li 003; Yupeng Ding; Ke Xu; Wenmin Zhang (CISP-BMEI, 2017)

Sparse-Temporal Segment Network for Action Recognition. - Chaobo Li; Yupeng Ding; Hongjun Li 003 (IScIDE (1), 2019)

Generative Adversarial-Synergetic Networks for Anomaly Detection. - Hongjun Li 003; Chaobo Li; Ze Zhou (ICPRAI, 2020)

Transformed Network Based on Task-Driven. - Hongjun Li 003; Ze Zhou; Chaobo Li; Qi Wang 069 (ICPRAI, 2020)

Multi-features Integration for Speech Emotion Recognition. - Hongjun Li 003; Ze Zhou; Xiaohu Sun; Chaobo Li (ICPRAI, 2020)

S3GRN: Structural Similar Stepwise Generative Recognizable Network for Human Action Recognition With Limited Training Data. - Chaobo Li; Xulin Shen; Hongjun Li 003 (IEEE Access, 2020)

RCCM: Reinforce Cycle Cascade Model for Image Recognition. - Hongjun Li 003; Ze Zhou; Chaobo Li; Shibing Zhang (IEEE Access, 2020)

Fall detection based on fused saliency maps. - Hongjun Li 003; Chaobo Li; Yupeng Ding (Multim. Tools Appl., 2021)

Transformer with Spatio-Temporal Representation for Video Anomaly Detection. - Xiaohu Sun; Jinyi Chen; Xulin Shen; Hongjun Li 003 (S+SSPR, 2022)

Spatio-Temporal United Memory for Video Anomaly Detection. - Yunlong Wang; Mingyi Chen; Jiaxin Li; Hongjun Li 003 (S+SSPR, 2022)

A novel vertical-cross-horizontal network. - Chaobo Li; Ze Zhou; Hongjun Li 003; Zhengguang Xie; Guoan Zhang (Multim. Tools Appl., 2022)

A near effective and efficient model in recognition. - Hongjun Li 003; Ze Zhou; Chaobo Li; Ching Y. Suen (Pattern Recognit., 2022)

Transformer-Based Multi-object Tracking in Unmanned Aerial Vehicles. - Jiaxin Li; Hongjun Li 003 (PRCV (6), 2023)

Future frame prediction based on generative assistant discriminative network for anomaly detection. - Chaobo Li; Hongjun Li 003; Guoan Zhang (Appl. Intell., 2023)

HN-MUM: heterogeneous video anomaly detection network with multi-united-memory module. - Hongjun Li 003; Yunlong Wang; Mingyi Chen; Jiaxin Li (Multim. Tools Appl., 2023)

Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking. - Ze Zhou; Quansen Sun; Hongjun Li 003; Chaobo Li; Zhenwen Ren (IEEE Trans. Multim., 2023)

MPAT: multi-path attention temporal method for video anomaly detection. - Hongjun Li 003; Xiaohu Sun; Chaobo Li; Xulin Shen; Jinyi Chen; Junjie Chen; Zhengguang Xie (Multim. Tools Appl., 2023)

Multi-memory video anomaly detection based on scene object distribution. - Hongjun Li 003; Jinyi Chen; Xiaohu Sun; Chaobo Li; Junjie Chen (Multim. Tools Appl., 2023)

Video anomaly detection based on scene classification. - Hongjun Li 003; Xulin Shen; Xiaohu Sun; Yunlong Wang; Chaobo Li; Junjie Chen (Multim. Tools Appl., 2023)

Research on the Identification of Common Economic Shellfish in Jiangsu Based on Fused-ResNet Network. - Zhiyuan Liu; Beining Zhang; Yangping Wu; Zhidong Zhang; Junjie Chen; Hongjun Li 003 (ANNPR, 2024)

A Helium Speech Correction Method Based on Generative Adversarial Networks. - Hongjun Li 003; Yuxiang Chen; Hongwei Ji; Shibing Zhang (Big Data Cogn. Comput., 2024)

FOAD: a novel video anomaly detection focusing on objects. - Hongjun Li 003; Jinyi Chen; Xiezhou Huang; Yuxing Zhang; Yunlong Du; Junjie Chen (Multim. Tools Appl., 2024)

Cross-modality integration framework with prediction, perception and discrimination for video anomaly detection. - Chaobo Li; Hongjun Li 003; Guoan Zhang (Neural Networks, 2024)

An informative dual ForkNet for video anomaly detection. - Hongjun Li 003; Yunlong Wang; Yating Wang; Junjie Chen (Neural Networks, 2024)

TMTB: Transformer based multi-task branching multi-object tracking algorithm for wide-view scenes. - Hongjun Li 003; Jiaxin Li (Multim. Tools Appl., 2024)

Grey-adversary perceptual network for anomaly detection. - Chaobo Li; Hongjun Li 003; Guoan Zhang (Multim. Tools Appl., 2024)

MTM-net: a multidimensional two-stage memory-guided network for vedio abnormal detection. - Hongjun Li 003; Mingyi Chen; Xiaohu Sun; Junjie Chen (Multim. Tools Appl., 2024)

Appearance-motion heterogeneous networks for video anomaly detection. - Hongjun Li 003; Xiaohu Sun; Mingyi Chen (Multim. Tools Appl., 2024)

A Novel Single-Sample Retinal Vessel Segmentation Method Based on Grey Relational Analysis. - Yating Wang; Hongjun Li 003 (Sensors, 2024)

Spatiotemporal heterogeneous information fusion model for loitering anomaly detection. - Hongjun Li 003; Xiezhou Huang (Signal Image Video Process., 2024)

Channel based approach via faster dual prediction network for video anomaly detection. - Hongjun Li 003; Xulin Shen; Xiaohu Sun; Yunlong Wang; Chaobo Li; Junjie Chen (Multim. Tools Appl., 2024)

Advancing scene text image super-resolution via edge enhancement priors. - Hongjun Li 003; Shangfeng Li (Signal Image Video Process., 2024)

Spatial scene temporal behavior framework for anomaly detection. - Chaobo Li; Hongjun Li 003; Guoan Zhang (Digit. Signal Process., 2025)

A multi-memory-augmented network with a curvy metric method for video anomaly detection. - Hongjun Li 003; Yunlong Wang; Yating Wang; Junjie Chen (Neural Networks, 2025)

Detecting Adversarial Attacks Based on Tracking Differences in Frequency Bands. - Chaobo Li; Hongjun Li 003; Guoan Zhang (IEEE Trans. Multim., 2025)

A novel spatio-temporal memory network for video anomaly detection. - Hongjun Li 003; Mingyi Chen (Multim. Tools Appl., 2025)

Adaptive loitering anomaly detection based on motion states. - Hongjun Li 003; Xiezhou Huang (Multim. Tools Appl., 2025)