Baoping Liu

12 papers A 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
ForgeFinder: Perceptive Multimodal Deepfake Detection via Multi-grained Forgery Localization.
ACM Trans. Multim. Comput. Commun. Appl.
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2025 J jnl
A Review of Deepfake and Its Detection: From Generative Adversarial Networks to Diffusion Models.
Int. J. Intell. Syst.
Baoping Liu, Bo Liu, Tianqing Zhu, Ming Ding
2024 — conf
Detection of Diffusion Model-Generated Faces by Assessing Smoothness and Noise Tolerance.
BMSB
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2024 J jnl
MeST-Former: Motion-enhanced Spatiotemporal Transformer for generalizable Deepfake detection.
Neurocomputing
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu
2024 — conf
Outliers are Real: Detecting VLM-Generated Images via One-Class Classification.
ICA3PP (1)
Baoping Liu, Bo Liu, Ming Ding
2024 — conf
Safety Helmet Detection Using Improved YOLOv8.
ICBASE
Zhao Chen, Baoping Liu, Xiang Gao, Shaodong Sun, Bin Yao
2023 A conf
Proactive Deepfake Defence via Identity Watermarking.
WACV
Yuan Zhao, Bo Liu, Ming Ding, Baoping Liu, Tianqing Zhu, Xin Yu
2023 A conf
TI
WACV
Baoping Liu, Bo Liu, Ming Ding, Tianqing Zhu, Xin Yu
2022 J jnl
Research on Deep Learning Method and Optimization of Vibration Characteristics of Rotating Equipment.
Sensors
Xiaoxun Zhu, Baoping Liu, Zhentao Li, Jiawei Lin, Xiaoxia Gao
2020 — conf
FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation.
ICC
Yijun Su, Xiang Li, Baoping Liu, Daren Zha, Ji Xiang, Wei Tang, Neng Gao
2019 J jnl
CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking.
Aust. J. Intell. Inf. Process. Syst.
Baoping Liu, Yijun Su, Daren Zha, Neng Gao, Ji Xiang
2017 J jnl
TAP: A personalized trust-aware QoS prediction approach for web service recommendation.
Knowl. Based Syst.
Kai Su, Bin Xiao, Baoping Liu, Huaiqiang Zhang, Zongsheng Zhang