Bingyan Liu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 31

Top Topics

Transfer Learning

Densely Connected

Image Synthesis

Diffusion Models

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Publications

Yue Li, Bingyan Liu, Jinyan Deng, Yi Guo, Hongbo Du
Image-based molecular representation learning for drug development: a survey. Briefings Bioinform. 25 (4) (2024)
Lei Gao, Quanhui Li, Bingyan Liu, Fangang Meng
Normalization Calculation Method of THD for Aviation Multipulse Rectifiers. IEEE Trans. Aerosp. Electron. Syst. 60 (3) (2024)
Bingyan Liu, Nuoyan Lv, Yuanchun Guo, Yawen Li
Recent advances on federated learning: A systematic survey. Neurocomputing 597 (2024)
Yifeng Cai, Ziqi Zhang, Jiaping Gui, Bingyan Liu, Xiaoke Zhao, Ruoyu Li, Zhe Li, Ding Li
FAMOS: Robust Privacy-Preserving Authentication on Payment Apps via Federated Multi-Modal Contrastive Learning. USENIX Security Symposium (2024)
Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing. CoRR (2024)
An-An Lu, Bingyan Liu, Xiqi Gao
Interference Cancellation Information Geometry Approach for Massive MIMO Channel Estimation. CoRR (2024)
Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang
Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed. ACL (industry) (2023)
Bingyan Liu, Nuoyan Lv, Yuanchun Guo, Yawen Li
Recent Advances on Federated Learning: A Systematic Survey. CoRR (2023)
Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. CoRR (2023)
Yuxuan Zhang, An-An Lu, Bingyan Liu, Xiqi Gao, Xiang-Gen Xia
Cross-Subcarrier Precoder Design for Massive MIMO-OFDM Downlink. VTC Fall (2023)
Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen
Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users. WWW (2023)
Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang
BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis. EMNLP (Industry Track) (2023)
Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu
Multi-View Scholar Clustering With Dynamic Interest Tracking. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML. CoRR (2023)
Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen
FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing. ICSE (2023)
Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang
PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud. CoRR (2023)
Bingyan Liu, Daru Pan, Zhenbin Shuai, Hui Song
ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation. Comput. Methods Programs Biomed. 213 (2022)
Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu
ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing. ICSE (2022)
Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. CoRR (2021)
Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection. CoRR (2021)
Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu
ModelDiff: testing-based DNN similarity comparison for model reuse detection. ISSTA (2021)
Bingyan Liu, Yao Guo, Xiangqun Chen
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. CoRR (2021)
Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen
DistFL: Distribution-aware Federated Learning for Mobile Scenarios. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (4) (2021)
Bingyan Liu, Yao Guo, Xiangqun Chen
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization. WWW (2021)
Bingyan Liu, Daru Pan, Hui Song
Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network. BMC Medical Imaging 21 (1) (2021)
Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. AAAI (2021)
Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen
DistFL: Distribution-aware Federated Learning for Mobile Scenarios. CoRR (2021)
Guangquan Xu, Bingyan Liu, Litao Jiao, Xiaotong Li, Meiqi Feng, Kaitai Liang, Lei Ma, Xi Zheng
Trust2Privacy: A Novel Fuzzy Trust-to-Privacy Mechanism for Mobile Social Networks. IEEE Wirel. Commun. 27 (3) (2020)
Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen
PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (4) (2020)
Bingyan Liu, Yao Guo, Xiangqun Chen
WealthAdapt: A General Network Adaptation Framework for Small Data Tasks. ACM Multimedia (2019)
Bingyan Liu, Jiangzheng Cai, Jia Yuan, Yong Hei
A Low-Voltage SRAM Sense Amplifier With Offset Cancelling Using Digitized Multiple Body Biasing. IEEE Trans. Circuits Syst. II Express Briefs (4) (2017)
Bingyan Liu, Yong Hei
A low voltage SRAM sense amplifier with offset cancelling using digitized multiple body biasing. ASICON (2015)