A Hybrid Model for Natural Face De-Identiation with Adjustable Privacy. - Yunqian Wen; Bo Liu 001; Rong Xie; Yunhui Zhu; Jingyi Cao; Li Song 001 (VCIP, 2020)

Personalized and Invertible Face De-identification by Disentangled Identity Information Manipulation. - Jingyi Cao; Bo Liu 001; Yunqian Wen; Rong Xie; Li Song 001 (ICCV, 2021)

Deep Motion Flow Aided Face Video De-identification. - Yunqian Wen; Bo Liu 001; Rong Xie; Jingyi Cao; Li Song 001 (VCIP, 2021)

Hiding Among Your Neighbors: Face Image Privacy Protection with Differential Private k-anonymity. - Jingyi Cao; Bo Liu 001; Yunqian Wen; Yunhui Zhu; Rong Xie; Li Song 001; Lin Li 062; Yaoyao Yin (BMSB, 2022)

IdentityDP: Differential private identification protection for face images. - Yunqian Wen; Bo Liu 001; Ming Ding 001; Rong Xie; Li Song 001 (Neurocomputing, 2022)

IdentityMask: Deep Motion Flow Guided Reversible Face Video De-Identification. - Yunqian Wen; Bo Liu 001; Jingyi Cao; Rong Xie; Li Song 001; Zhu Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability. - Yunqian Wen; Bo Liu 001; Jingyi Cao; Rong Xie; Li Song 001 (ICCV, 2023)

Achieving Privacy-Preserving Multi-View Consistency with Advanced 3D-Aware Face De-identification. - Jingyi Cao; Bo Liu 001; Yunqian Wen; Rong Xie; Li Song 001 (MMAsia, 2023)

Face De-identification: Safeguarding Identities in the Digital Era - Yunqian Wen; Bo Liu 001; Li Song 001; Jingyi Cao; Rong Xie (Springer, 2024)