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Lanlan Liu
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2020 – today
- 2024
- [j6]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): 270-283 (2024) - 2023
- [j5]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: 581-597 (2023) - [c7]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: 1210-1213 - [c6]Pengfei Liu, Lanlan Liu:
Hyperspectral Image Destriping and Denoising with Spectral Low Rank and Tensor Nuclear Norm. IGARSS 2023: 7304-7307 - 2021
- [j4]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): 463-481 (2021) - [j3]Qiang Yu, Lanlan Liu:
Research on self-incremental expansion method of knowledge base based on deep learning. Int. J. Inf. Commun. Technol. 19(1): 16-30 (2021) - [c5]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. AAAI 2021: 8680-8687 - [i4]Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. CoRR abs/2106.08505 (2021) - 2020
- [b1]Lanlan Liu:
Automatic Designs in Deep Neural Networks. University of Michigan, USA, 2020 - [c4]Lanlan Liu, Mingzhe Wang, Jia Deng:
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. ECCV (3) 2020: 278-293 - [i3]Lanlan Liu, Mingzhe Wang, Jia Deng:
A Unified Framework of Surrogate Loss by Refactoring and Interpolation. CoRR abs/2007.13870 (2020)
2010 – 2019
- 2019
- [c3]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. ICCV 2019: 6072-6080 - [i2]Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li:
Generative Modeling for Small-Data Object Detection. CoRR abs/1910.07169 (2019) - 2018
- [c2]Lanlan Liu, Jia Deng:
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-Offs by Selective Execution. AAAI 2018: 3675-3682 - 2017
- [j2]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): D115-D118 (2017) - [i1]Lanlan Liu, Jia Deng:
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution. CoRR abs/1701.00299 (2017) - 2016
- [j1]Lanlan Liu, Meng Zhou:
On computing uniform Gröbner bases for ideals generated by polynimials with parametric exponents. J. Syst. Sci. Complex. 29(3): 850-864 (2016) - 2012
- [c1]Jinlou Zhao, Yifei Cheng, Lanlan Liu:
Valuation of Restricted Shares: Evidence from the Split Share Structure Reform in China. BIFE 2012: 370-373
Coauthor Index
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