Qiankun Liu
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Qiankun Liu 001 (Beijing Institute of Technology, School of Computer Science and Technology, China)
- Qiankun Liu 002 (Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen Graduate School, China)
- Qiankun Liu 003 (Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Microwave Remote Sensing, Beijing, China)
Bibliography
2025
CoRR, August, 2025
MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection.
CoRR, May, 2025
Low-Cost Intrusion Detection System for CAN Bus Networks Using RISC-V with Binarised Neural Networks.
Proceedings of the IEEE International Conference on Industrial Technology, 2025
Proceedings of the Design, Automation & Test in Europe Conference, 2025
2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
2023
ACM Trans. Archit. Code Optim., September, 2023
Proceedings of the IEEE Symposium on Computers and Communications, 2023
2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Sensors, 2022
Analysis of the Consistency Between Sentinel-3A & B Altimeters During the Tandem Mission.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
2018
Ge-Rich Graded-Index SiGe Alloys: Exploring a Versatile Platform for mid-IR Photonics.
Proceedings of the 2018 20th International Conference on Transparent Optical Networks (ICTON), 2018
Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018
2010
Design of a low power GPS receiver in 0.18 µm CMOS technology with a SigmaDeltafractional-N synthesizer.
J. Zhejiang Univ. Sci. C, 2010