Jinlu Liu

According to our database, Jinlu Liu authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

Key-aggregate based access control encryption for flexible cloud data sharing.

Jinlu Liu, Jing Qin, Wenchao Wang, Lin Mei, Huaxiong Wang

Comput. Stand. Interfaces, March, 2024

2023

Key-aggregate searchable encryption supporting conjunctive queries for flexible data sharing in the cloud.

Jinlu Liu, Bo Zhao, Jing Qin, Xinyi Hou, Jixin Ma

Inf. Sci., October, 2023

Practical continuous-variable quantum key distribution with feasible optimization parameters.

Li Ma, Jie Yang, Tao Zhang, Yun Shao, Jinlu Liu, Yujie Luo, Heng Wang, Wei Huang, Fan Fan, Chuang Zhou, Liangliang Zhang, Shuai Zhang, Yichen Zhang, Yang Li, Bingjie Xu

Sci. China Inf. Sci., August, 2023

Multi-Keyword Ranked Searchable Encryption with the Wildcard Keyword for Data Sharing in Cloud Computing.

Jinlu Liu, Bo Zhao, Jing Qin, Xi Zhang, Jixin Ma

Comput. J., January, 2023

Verifiable Key-Aggregate Searchable Encryption With a Designated Server in Multi-Owner Setting.

Jinlu Liu, Zhongkai Wei, Jing Qin, Bo Zhao, Jixin Ma

IEEE Trans. Serv. Comput., 2023

The Analysis of Schnorr Multi-Signatures and the Application to AI.

Wenchao Wang, Jing Qin, Jinlu Liu, Xi Zhang, Xinyi Hou, Zhongkai Wei

Proceedings of the Artificial Intelligence Security and Privacy, 2023

2021

Cross-class generative network for zero-shot learning.

Jinlu Liu, Zhaocheng Zhang, Gang Yang

Inf. Sci., 2021

2020

BiOpt: Bi-Level Optimization for Few-Shot Segmentation.

Jinlu Liu, Liang Song, Yongqiang Qin

CoRR, 2020

Prototype Refinement Network for Few-Shot Segmentation.

Jinlu Liu, Yongqiang Qin

CoRR, 2020

Prototype Rectification for Few-Shot Learning.

Jinlu Liu, Liang Song, Yongqiang Qin

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Hierarchical Attention Networks for Medical Image Segmentation.

Fei Ding, Gang Yang, Jinlu Liu, Jun Wu, Dayong Ding, Jie Xu, Gangwei Cheng, Xirong Li

CoRR, 2019

2018

Imagination Based Sample Construction for Zero-Shot Learning.

Gang Yang, Jinlu Liu, Xirong Li

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Dissimilarity Representation Learning for Generalized Zero-Shot Recognition.

Gang Yang, Jinlu Liu, Jieping Xu, Xirong Li

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Cross-Class Sample Synthesis for Zero-shot Learning.

Jinlu Liu, Xirong Li, Gang Yang

Proceedings of the British Machine Vision Conference 2018, 2018