Gaofeng Cao

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Trust Relationships

Recommender Systems

Top Venues

ACM Trans. Multim. Comput. Commun. Appl.

Int. J. Web Serv. Res.

Publications

Peihuan Huang, Gaofeng Cao, Fei Zhou, Guoping Qiu
Video Inverse Tone Mapping Network with Luma and Chroma Mapping. ACM Multimedia (2023)
Gaofeng Cao, Fei Zhou, Kanglin Liu, Anjie Wang, Leidong Fan
A Decoupled Kernel Prediction Network Guided by Soft Mask for Single Image HDR Reconstruction. ACM Trans. Multim. Comput. Commun. Appl. 19 (2s) (2023)
Anjie Wang, Zhijun Fang, Xiaoyan Jiang, Yongbin Gao, Gaofeng Cao, Siwei Ma
Depth Estimation of Multi-Modal Scene Based on Multi-Scale Modulation. ICIP (2023)
Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu
Towards Disentangling Latent Space for Unsupervised Semantic Face Editing. IEEE Trans. Image Process. 31 (2022)
Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan
KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping. IJCAI (2022)
Gaofeng Cao, Fei Zhou, Kanglin Liu, Bozhi Liu
A brightness-adaptive kernel prediction network for inverse tone mapping. Neurocomputing 464 (2021)
Kanglin Liu, Gaofeng Cao, Jiang Duan, Guoping Qiu
Lightness Modulated Deep Inverse Tone Mapping. CoRR (2021)
Kanglin Liu, Gaofeng Cao, Fei Zhou, Bozhi Liu, Jiang Duan, Guoping Qiu
Disentangling Latent Space for Unsupervised Semantic Face Editing. CoRR (2020)
Gaofeng Cao, Huan Zhang, Jianbo Zheng, Li Kuang, Yu Duan
An Outlier Degree Shilling Attack Detection Algorithm Based on Dynamic Feature Selection. Int. J. Softw. Eng. Knowl. Eng. 29 (8) (2019)
Gaofeng Cao, Huan Zhang, Yuyou Fan, Li Kuang
Finding Shilling Attack in Recommender System based on Dynamic Feature Selection. SEKE (2018)
Li Kuang, Gaofeng Cao, Liang Chen
Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. Int. J. Web Serv. Res. 14 (2) (2017)
Gaofeng Cao, Li Kuang
Identifying Core Users Based on Trust Relationships and Interest Similarity in Recommender System. ICWS (2016)