Bochao Liu - RankMe

29 papers A* 2A 1B 2C 1Misc 1Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OneSearch-V2: The Latent Reasoning Enhanced Self-distillation Generative Search Framework. CoRR Ben Chen, Siyuan Wang, Yufei Ma, Zihan Liang, Xuxin Zhang, Yue Lv, Ying Yang, Huangyu Dai, Lingtao Mao, Tong Zhao, Zhipeng Qian, Xinyu Sun, Zhixin Zhai, Yang Zhao, Bochao Liu, Jingshan Lv, Xiao Liang, Hui Kong, Jing Chen, Han Li, Chenyi Lei, Wenwu Ou, Kun Gai
2026	J	`jnl`	Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation. CoRR Bochao Liu, Shiming Ge, Pengju Wang, Shikun Li, Tongliang Liu
2025	Misc	`conf`	Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition. ICASSP Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi, Yong Li, Shiming Ge
2025	J	`jnl`	OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search. CoRR Ben Chen, Xian Guo, Siyuan Wang, Zihan Liang, Yue Lv, Yufei Ma, Xinlong Xiao, Bowen Xue, Xuxin Zhang, Ying Yang, Huangyu Dai, Xing Xu, Tong Zhao, Mingcan Peng, Xiaoyang Zheng, Chao Wang, Qihang Zhao, Zhixin Zhai, Yang Zhao, Bochao Liu, Jingshan Lv, Xiao Liang, Yuqing Ding, Jing Chen, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai
2024	J	`jnl`	Distilling Generative-Discriminative Representations for Very Low-Resolution Face Recognition. CoRR Junzheng Zhang, Weijia Guo, Bochao Liu, Ruixin Shi, Yong Li, Shiming Ge
2024	B	`conf`	Fusion of Current and Historical Knowledge for Personalized Federated Learning. IJCNN Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge
2024	—	`conf`	Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. ECCV (7) Bochao Liu, Pengju Wang, Shiming Ge
2024	J	`jnl`	Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. CoRR Bochao Liu, Pengju Wang, Shiming Ge
2024	J	`jnl`	Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. CoRR Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng
2024	J	`jnl`	Personalized Federated Learning via Backbone Self-Distillation. CoRR Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge
2024	J	`jnl`	Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. CoRR Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge
2024	A*	`conf`	Private Gradient Estimation is Useful for Generative Modeling. ACM Multimedia Bochao Liu, Pengju Wang, Weijia Guo, Yong Li, Liansheng Zhuang, Weiping Wang, Shiming Ge
2024	J	`jnl`	Sensitive Breath Acetone Detection Based on α-Fe IEEE Trans. Instrum. Meas. Chenyang Yu, Jianhong Liu, Hongchao Zhao, Mengqing Wang, Jing Li, Xiaopeng She, Yi Chen, Yangjie Wang, Bochao Liu, Cheng Zou, Yong He, Yong Zhou
2024	B	`conf`	Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. SMC Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge
2024	J	`jnl`	Towards Personalized Federated Learning via Comprehensive Knowledge Distillation. CoRR Pengju Wang, Bochao Liu, Weijia Guo, Yong Li, Shiming Ge
2023	J	`jnl`	Learning Differentially Private Probabilistic Models for Privacy-Preserving Image Generation. CoRR Bochao Liu, Shiming Ge, Pengju Wang, Liansheng Zhuang, Tongliang Liu
2023	J	`jnl`	Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation. IEEE Trans. Image Process. Shiming Ge, Bochao Liu, Pengju Wang, Yong Li, Dan Zeng
2023	A*	`conf`	Model Conversion via Differentially Private Data-Free Distillation. IJCAI Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge
2023	J	`jnl`	Model Conversion via Differentially Private Data-Free Distillation. CoRR Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge
2023	—	`conf`	Personalized Federated Learning via Backbone Self-Distillation. MMAsia Pengju Wang, Bochao Liu, Dan Zeng, Chenggang Yan, Shiming Ge
2022	C	`conf`	Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation. MMSP Bochao Liu, Jianghu Lu, Pengju Wang, Junjie Zhang, Dan Zeng, Zhenxing Qian, Shiming Ge
2021	—	`conf`	Differentially Private Learning with Grouped Gradient Clipping. MMAsia Haolin Liu, Chenyu Li, Bochao Liu, Pengju Wang, Shiming Ge, Weiping Wang
2018	J	`jnl`	A multi-domain Legendre spectral collocation method for nonlinear neutral equations with piecewise continuous argument. Int. J. Comput. Math. Chengjian Zhang, Wansheng Wang, Bochao Liu, Tingting Qin
2018	J	`jnl`	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. Sensors Hang Ren, Taotao Hu, YuLong Song, Hui Sun, Bochao Liu, Minghe Gao
2018	A	`conf`	Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. CIKM Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai
2017	J	`jnl`	Image Matters: Jointly Train Advertising CTR Model with Image Representation of Ad and User Behavior. CoRR Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai
2016	J	`jnl`	Robust image reconstruction enhancement based on Gaussian mixture model estimation. J. Electronic Imaging Fan Zhao, Jian Zhao, Xizhen Han, He Wang, Bochao Liu
2015	J	`jnl`	A spectral Galerkin method for nonlinear delay convection-diffusion-reaction equations. Comput. Math. Appl. Bochao Liu, Chengjian Zhang
2010	J	`jnl`	A Flattening Strategy for SML Module Compilation and Its Implementation. Inf. Media Technol. Bochao Liu, Atsushi Ohori