A Flattening Strategy for SML Module Compilation and Its Implementation. - Bochao Liu; Atsushi Ohori (Inf. Media Technol., 2010)

A spectral Galerkin method for nonlinear delay convection-diffusion-reaction equations. - Bochao Liu; Chengjian Zhang (Comput. Math. Appl., 2015)

Robust image reconstruction enhancement based on Gaussian mixture model estimation. - Fan Zhao; Jian Zhao; Xizhen Han; He Wang; Bochao Liu (J. Electronic Imaging, 2016)

Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. - Tiezheng Ge; Liqin Zhao; Guorui Zhou; Keyu Chen; Shuying Liu; Huiming Yi; Zelin Hu; Bochao Liu; Peng Sun; Haoyu Liu; Pengtao Yi; Sui Huang; et al. (CoRR, 2017)

Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. - Tiezheng Ge; Liqin Zhao; Guorui Zhou; Keyu Chen; Shuying Liu; Huiming Yi; Zelin Hu; Bochao Liu; Peng Sun; Haoyu Liu; Pengtao Yi; Sui Huang; et al. (CIKM, 2018)

A multi-domain Legendre spectral collocation method for nonlinear neutral equations with piecewise continuous argument. - Chengjian Zhang; Wansheng Wang; Bochao Liu; Tingting Qin (Int. J. Comput. Math., 2018)

An Improved Electronic Image Motion Compensation (IMC) Method of Aerial Full-Frame-Type Area Array CCD Camera Based on the CCD Multiphase Structure and Hardware Implementation. - Hang Ren; Taotao Hu; YuLong Song; Hui Sun; Bochao Liu; Minghe Gao (Sensors, 2018)

Differentially Private Learning with Grouped Gradient Clipping. - Haolin Liu; Chenyu Li 001; Bochao Liu; Pengju Wang; Shiming Ge; Weiping Wang 005 (MMAsia, 2021)

Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. - Bochao Liu; Jianghu Lu; Pengju Wang; Junjie Zhang 002; Dan Zeng 001; Zhenxing Qian; Shiming Ge (MMSP, 2022)

Model Conversion via Differentially Private Data-Free Distillation. - Bochao Liu; Pengju Wang; Shikun Li; Dan Zeng 001; Shiming Ge (IJCAI, 2023)

Personalized Federated Learning via Backbone Self-Distillation. - Pengju Wang; Bochao Liu; Dan Zeng 001; Chenggang Yan 001; Shiming Ge (MMAsia, 2023)

Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. - Bochao Liu; Shiming Ge; Pengju Wang; Liansheng Zhuang; Tongliang Liu (CoRR, 2023)

Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. - Shiming Ge; Bochao Liu; Pengju Wang; Yong Li; Dan Zeng 001 (IEEE Trans. Image Process., 2023)

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. - Bochao Liu; Pengju Wang; Shiming Ge (ECCV (7), 2024)

Fusion of Current and Historical Knowledge for Personalized Federated Learning. - Pengju Wang; Bochao Liu; Weijia Guo; Yong Li; Shiming Ge (IJCNN, 2024)

Private Gradient Estimation is Useful for Generative Modeling. - Bochao Liu; Pengju Wang; Weijia Guo; Yong Li; Liansheng Zhuang; Weiping Wang 005; Shiming Ge (ACM Multimedia, 2024)

Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. - Pengju Wang; Bochao Liu; Weijia Guo; Yong Li; Shiming Ge (SMC, 2024)

Sensitive Breath Acetone Detection Based on α-Fe2O3 Nanoparticles Modified WO3 Nanoplate Heterojunctions. - Chenyang Yu; Jianhong Liu; Hongchao Zhao; Mengqing Wang; Jing Li; Xiaopeng She; Yi Chen; Yangjie Wang; Bochao Liu; Cheng Zou; Yong He; Yong Zhou (IEEE Trans. Instrum. Meas., 2024)

Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition. - Junzheng Zhang; Weijia Guo; Bochao Liu; Ruixin Shi; Yong Li; Shiming Ge (ICASSP, 2025)