Bingyan Liu

According to our database, Bingyan Liu authored at least 22 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.

Bingyan Liu, Chengyu Wang, Tingfeng Cao, Kui Jia, Jun Huang

CoRR, 2024

2023

Multi-View Scholar Clustering With Dynamic Interest Tracking.

Ang Li, Yawen Li, Yingxia Shao, Bingyan Liu

IEEE Trans. Knowl. Data Eng., September, 2023

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML.

Ziqi Zhang, Chen Gong, Yifeng Cai, Yuanyuan Yuan, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen

CoRR, 2023

PAI-Diffusion: Constructing and Serving a Family of Open Chinese Diffusion Models for Text-to-image Synthesis on the Cloud.

Chengyu Wang, Zhongjie Duan, Bingyan Liu, Xinyi Zou, Cen Chen, Kui Jia, Jun Huang

CoRR, 2023

Recent Advances on Federated Learning: A Systematic Survey.

Bingyan Liu, Nuoyan Lv, Yuanchun Guo, Yawen Li

CoRR, 2023

Beyond Fine-Tuning: Efficient and Effective Fed-Tuning for Mobile/Web Users.

Bingyan Liu, Yifeng Cai, Hongzhe Bi, Ziqi Zhang, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the ACM Web Conference 2023, 2023

Cross-Subcarrier Precoder Design for Massive MIMO-OFDM Downlink.

Yuxuan Zhang, An-An Lu, Bingyan Liu, Xiqi Gao, Xiang-Gen Xia

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

FedSlice: Protecting Federated Learning Models from Malicious Participants with Model Slicing.

Ziqi Zhang, Yuanchun Li, Bingyan Liu, Yifeng Cai, Ding Li, Yao Guo, Xiangqun Chen

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis.

Tingfeng Cao, Chengyu Wang, Bingyan Liu, Ziheng Wu, Jinhui Zhu, Jun Huang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Rapid Diffusion: Building Domain-Specific Text-to-Image Synthesizers with Fast Inference Speed.

Bingyan Liu, Weifeng Lin, Zhongjie Duan, Chengyu Wang, Ziheng Wu, Zhang Zipeng, Kui Jia, Lianwen Jin, Cen Chen, Jun Huang

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022

ECSD-Net: A joint optic disc and cup segmentation and glaucoma classification network based on unsupervised domain adaptation.

Bingyan Liu, Daru Pan, Zhenbin Shuai, Hui Song

Comput. Methods Programs Biomed., 2022

ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing.

Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Yao Guo, Xiangqun Chen, Yunxin Liu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

DistFL: Distribution-aware Federated Learning for Mobile Scenarios.

Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network.

Bingyan Liu, Daru Pan, Hui Song

BMC Medical Imaging, 2021

PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization.

Bingyan Liu, Yao Guo, Xiangqun Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

ModelDiff: testing-based DNN similarity comparison for model reuse detection.

Yuanchun Li, Ziqi Zhang, Bingyan Liu, Ziyue Yang, Yunxin Liu

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning.

Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Trust2Privacy: A Novel Fuzzy Trust-to-Privacy Mechanism for Mobile Social Networks.

Guangquan Xu, Bingyan Liu, Litao Jiao, Xiaotong Li, Meiqi Feng, Kaitai Liang, Lei Ma, Xi Zheng

IEEE Wirel. Commun., 2020

PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing.

Bingyan Liu, Yuanchun Li, Yunxin Liu, Yao Guo, Xiangqun Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2019

WealthAdapt: A General Network Adaptation Framework for Small Data Tasks.

Bingyan Liu, Yao Guo, Xiangqun Chen

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2017

A Low-Voltage SRAM Sense Amplifier With Offset Cancelling Using Digitized Multiple Body Biasing.

Bingyan Liu, Jiangzheng Cai, Jia Yuan, Yong Hei

IEEE Trans. Circuits Syst. II Express Briefs, 2017

2015

A low voltage SRAM sense amplifier with offset cancelling using digitized multiple body biasing.

Bingyan Liu, Yong Hei

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015