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Tairan Liu
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2020 – today
- 2023
- [j7]Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan:
Self-supervised learning of hologram reconstruction using physics consistency. Nat. Mac. Intell. 5(8): 895-907 (2023) - [c4]Ilmaan Zia, Muhammad Abdul Basit Ur Rahim, Tairan Liu, Zhangying He:
Formal Modeling and Verification of Industrial Robotic Arm - A Case Study. QRS Companion 2023: 499-508 - [c3]Satyam Sharma, Muhammad Abdul Basit Ur Rahim, Shahid Hussain, Muhammad Rizwan Abid, Tairan Liu:
Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges. QRS Companion 2023: 834-842 - [i20]Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan:
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging. CoRR abs/2301.03162 (2023) - [i19]Yuzhu Li, Nir Pillar, Jingxi Li, Tairan Liu, Di Wu, Songyu Sun, Guangdong Ma, Kevin de Haan, Luzhe Huang, Sepehr Hamidi, Anatoly Urisman, Tal Keidar Haran, William Dean Wallace, Jonathan E. Zuckerman, Aydogan Ozcan:
Virtual histological staining of unlabeled autopsy tissue. CoRR abs/2308.00920 (2023) - 2022
- [i18]Luzhe Huang, Xilin Yang, Tairan Liu, Aydogan Ozcan:
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network. CoRR abs/2201.11333 (2022) - [i17]Hanlong Chen, Luzhe Huang, Tairan Liu, Aydogan Ozcan:
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization. CoRR abs/2204.10533 (2022) - [i16]Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, Keelan O'Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, Aydogan Ozcan:
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor. CoRR abs/2205.03549 (2022) - [i15]Tairan Liu, Yuzhu Li, Hatice Ceylan Koydemir, Yijie Zhang, Ethan Yang, Hongda Wang, Jingxi Li, Bijie Bai, Aydogan Ozcan:
Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography. CoRR abs/2207.00089 (2022) - [i14]Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan:
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks. CoRR abs/2207.02946 (2022) - [i13]Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Kevin de Haan, Tairan Liu, Aydogan Ozcan:
Virtual stain transfer in histology via cascaded deep neural networks. CoRR abs/2207.06578 (2022) - [i12]Yi Luo, Yijie Zhang, Tairan Liu, Alan Yu, Yichen Wu, Aydogan Ozcan:
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning. CoRR abs/2208.13979 (2022) - [i11]Luzhe Huang, Hanlong Chen, Tairan Liu, Aydogan Ozcan:
GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency. CoRR abs/2209.08288 (2022) - 2021
- [j6]Tairan Liu, Marcio de Queiroz:
An orthogonal basis approach to formation shape control. Autom. 129: 109619 (2021) - [j5]Tairan Liu, Marcio de Queiroz, Pengpeng Zhang, Milad Khaledyan:
Further results on the distance and area control of planar formations. Int. J. Control 94(3): 767-783 (2021) - [j4]Tairan Liu, Marcio de Queiroz:
Distance + Angle-Based Control of 2-D Rigid Formations. IEEE Trans. Cybern. 51(12): 5969-5978 (2021) - [i10]Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan:
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks. CoRR abs/2102.12281 (2021) - [i9]Yijie Zhang, Tairan Liu, Manmohan Singh, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan:
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data. CoRR abs/2103.03877 (2021) - 2020
- [j3]Tairan Liu, Victor Fernández-Kim, Marcio de Queiroz:
Switching formation shape control with distance + area/angle feedback. Syst. Control. Lett. 135: 104598 (2020) - [j2]Milad Khaledyan, Tairan Liu, Victor Fernández-Kim, Marcio de Queiroz:
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. IEEE Trans. Control. Syst. Technol. 28(4): 1603-1610 (2020) - [c2]Tairan Liu, Marcio de Queiroz, Farid Sahebsara:
Distance-Based Planar Formation Control using Orthogonal Variables. CCTA 2020: 64-69 - [i8]Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan:
Deep learning-based holographic polarization microscopy. CoRR abs/2007.00741 (2020) - [i7]Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan:
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. CoRR abs/2008.08871 (2020) - [i6]Tairan Liu, Marcio de Queiroz:
An Orthogonal Basis Approach to Formation Shape Control (Extended Version). CoRR abs/2012.03064 (2020)
2010 – 2019
- 2019
- [c1]Tairan Liu, Marcio S. de Queiroz, Pengpeng Zhang, Milad Khaledyan:
Directed Formation Control of n Planar Agents with Distance and Area Constraints. ACC 2019: 1824-1829 - [i5]Tairan Liu, Marcio S. de Queiroz, Pengpeng Zhang, Milad Khaledyan:
Directed Formation Control of n Planar Agents with Distance and Area Constraints. CoRR abs/1901.10564 (2019) - [i4]Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan:
Deep learning-based color holographic microscopy. CoRR abs/1907.06727 (2019) - 2018
- [i3]Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan:
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning. CoRR abs/1807.07701 (2018) - [i2]Tairan Liu, Kevin de Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan:
Deep learning-based super-resolution in coherent imaging systems. CoRR abs/1810.06611 (2018) - [i1]Milad Khaledyan, Tairan Liu, Marcio S. de Queiroz:
Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. CoRR abs/1812.02051 (2018) - 2017
- [j1]Tairan Liu, Misagh Naderi, Chris Alvin, Supratik Mukhopadhyay, Michal Brylinski:
Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with eMolFrag. J. Chem. Inf. Model. 57(4): 627-631 (2017)
Coauthor Index
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last updated on 2024-06-10 20:25 CEST by the dblp team
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