Lanlan Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Bilinear Interpolation

Iterative Learning Control

Top Venues

Int. J. Autom. Control.

Int. J. Inf. Commun. Technol.

Publications

Xianjin Xu, Hai-Feng Yan, Lanlan Liu, Yu Yan, Yan-Hao Huang, Yuhang Yang
Approach to magnetic actuation of a Soft Inspection robot for HVDC Transmission Lines. Int. J. Robotics Autom. 39 (4) (2024)
Pengfei Liu, Lanlan Liu, Liang Xiao
A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Dehua Zou, Lanlan Liu, Zhipeng Jiang, Bangwei Luo, Wusheng Quan
Design and Dynamic Simulation of Single-arm Inspection Robot System for Transmission Lines. ICARM (2023)
Pengfei Liu, Lanlan Liu
Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm. IGARSS (2023)
Qiang Yu, Lanlan Liu
Research on self-incremental expansion method of knowledge base based on deep learning. Int. J. Inf. Commun. Technol. 19 (1) (2021)
Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
Dynamically Grown Generative Adversarial Networks. AAAI (2021)
Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto
Dynamically Grown Generative Adversarial Networks. CoRR (2021)
Xisheng Dai, Lanlan Liu, Zhenping Deng
Optimised data-driven terminal iterative learning control based on neural network for distributed parameter systems. Int. J. Autom. Control. 15 (4/5) (2021)
Lanlan Liu, Mingzhe Wang, Jia Deng
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. CoRR (2020)
Lanlan Liu, Mingzhe Wang, Jia Deng
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. ECCV (3) (2020)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. CoRR (2019)
Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li
Generative Modeling for Small-Data Object Detection. ICCV (2019)
Lanlan Liu, Jia Deng
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. AAAI (2018)
Ying Yi, Yue Zhao, Chunhua Li, Lin Zhang, Huiying Huang, Yana Li, Lanlan Liu, Ping Hou, Tianyu Cui, Puwen Tan, Yongfei Hu, Ting Zhang, Yan Huang, Xiaobo Li, Jia Yu, Dong Wang
RAID v2.0: an updated resource of RNA-associated interactions across organisms. Nucleic Acids Res. 45 (Database-Issue) (2017)
Lanlan Liu, Jia Deng
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution. CoRR (2017)
Lanlan Liu, Meng Zhou
On computing uniform Gröbner bases for ideals generated by polynimials with parametric exponents. J. Syst. Sci. Complex. 29 (3) (2016)
Jinlou Zhao, Yifei Cheng, Lanlan Liu
Valuation of Restricted Shares: Evidence from the Split Share Structure Reform in China. BIFE (2012)