Issues on Selecting Image Features for Robust Source Camera Identification. - Yongjian Hu; Chang-Tsun Li; Changhui Zhou; Xufeng Lin (WDFIA, 2011)

Source Camera Identification Issues: Forensic Features Selection and Robustness. - Yongjian Hu; Chang-Tsun Li; Changhui Zhou; Xufeng Lin (Int. J. Digit. Crime Forensics, 2011)

An Improved Algorithm for Camera Model Identification Using Inter-channel Demosaicking Traces. - Yongjian Hu; Chang-Tsun Li; Xufeng Lin; Bei-Bei Liu (IIH-MSP, 2012)

Exposing image forgery through the detection of contrast enhancement. - Xufeng Lin; Chang-Tsun Li; Yongjian Hu (ICIP, 2013)

Two improved forensic methods of detecting contrast enhancement in digital images. - Xufeng Lin; Xingjie Wei; Chang-Tsun Li (Media Watermarking, Security, and Forensics, 2014)

Refining PRNU-based detection of image forgeries. - Xufeng Lin; Chang-Tsun Li (DMIAF, 2016)

Enhancing Sensor Pattern Noise via Filtering Distortion Removal. - Xufeng Lin; Chang-Tsun Li (IEEE Signal Process. Lett., 2016)

Preprocessing Reference Sensor Pattern Noise via Spectrum Equalization. - Xufeng Lin; Chang-Tsun Li (IEEE Trans. Inf. Forensics Secur., 2016)

A fast source-oriented image clustering method for digital forensics. - Chang-Tsun Li; Xufeng Lin (EURASIP J. Image Video Process., 2017)

Large-Scale Image Clustering Based on Camera Fingerprints. - Xufeng Lin; Chang-Tsun Li (IEEE Trans. Inf. Forensics Secur., 2017)

Provenance Analysis for Instagram Photos. - Yijun Quan; Xufeng Lin; Chang-Tsun Li (AusDM, 2018)

Rotation-invariant Binary Representation of Sensor Pattern Noise for Source-Oriented Image and Video Clustering. - Xufeng Lin; Chang-Tsun Li (AVSS, 2018)

Hybrid Clustering of Shared Images on Social Networks for Digital Forensics. - Rahimeh Rouhi; Flavio Bertini 001; Danilo Montesi; Xufeng Lin; Yijun Quan; Chang-Tsun Li (IEEE Access, 2019)

Deep Detection for Face Manipulation. - Disheng Feng; Xuequan Lu; Xufeng Lin (ICONIP (5), 2020)

PRNU-Based Content Forgery Localization Augmented With Image Segmentation. - Xufeng Lin; Chang-Tsun Li (IEEE Access, 2020)

Provenance Inference for Instagram Photos Through Device Fingerprinting. - Yijun Quan; Xufeng Lin; Chang-Tsun Li (IEEE Access, 2020)

On Constructing A Better Correlation Predictor For Prnu-Based Image Forgery Localization. - Xufeng Lin; Chang-Tsun Li (ICME, 2021)

On the detection-to-track association for online multi-object tracking. - Xufeng Lin; Chang-Tsun Li; Victor Sanchez; Carsten Maple (Pattern Recognit. Lett., 2021)

Distributed cubature information filtering based on hybrid consensus strategy with event-triggered mechanism. - Xufeng Lin; Xuechun Zhang; Yanyan Hu; Zengwang Jin (ASCC, 2022)

Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos. - He Huang; Nan Sun 002; Xufeng Lin (DSAA, 2022)

Beyond PRNU: Learning Robust Device-Specific Fingerprint for Source Camera Identification. - Manisha; Chang-Tsun Li; Xufeng Lin; Karunakar A. Kotegar (Sensors, 2022)

CTHPose: An Efficient and Effective CNN-Transformer Hybrid Network for Human Pose Estimation. - Danya Chen; Lijun Wu 002; Zhicong Chen; Xufeng Lin (PRCV (5), 2023)

Self-Supervised Leaf Segmentation under Complex Lighting Conditions. - Xufeng Lin; Chang-Tsun Li; Scott D. Adams; Abbas Z. Kouzani; Richard Jiang 001; Ligang He; Yongjian Hu; Michael Vernon; Egan H. Doeven; Lawrence Webb; Todd Mcclellan; Adam Guskic (Pattern Recognit., 2023)

LMDFS: A Lightweight Model for Detecting Forest Fire Smoke in UAV Images Based on YOLOv7. - Gong Chen; Renxi Cheng; Xufeng Lin; Wanguo Jiao; Di Bai 001; Haifeng Lin (Remote. Sens., 2023)

Semantic Segmentation of China's Coastal Wetlands Based on Sentinel-2 and Segformer. - Xufeng Lin; Youwei Cheng; Gong Chen; Wenjing Chen; Rong Chen; Demin Gao; Yinlong Zhang; Yongbo Wu (Remote. Sens., 2023)

Covariance intersection based event-triggered distributed state estimation under channel independent DoS attacks. - Yanyan Hu; Xuechun Zhang; Xufeng Lin (Neurocomputing, 2024)

Encoding-decoding-based distributed state estimation over sensor networks with limited sensing range under DoS attacks. - Xufeng Lin; Yanyan Hu; Xuechun Zhang; Kaixiang Peng (Neurocomputing, 2025)