Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with eMolFrag. - Tairan Liu; Misagh Naderi; Chris Alvin; Supratik Mukhopadhyay; Michal Brylinski (J. Chem. Inf. Model., 2017)

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning. - Yair Rivenson; Tairan Liu; Zhensong Wei; Yibo Zhang; Aydogan Ozcan (CoRR, 2018)

Deep learning-based super-resolution in coherent imaging systems. - Tairan Liu; Kevin de Haan; Yair Rivenson; Zhensong Wei; Xin Zeng; Yibo Zhang; Aydogan Ozcan (CoRR, 2018)

Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. - Milad Khaledyan; Tairan Liu; Marcio S. de Queiroz (CoRR, 2018)

Directed Formation Control of n Planar Agents with Distance and Area Constraints. - Tairan Liu; Marcio S. de Queiroz; Pengpeng Zhang; Milad Khaledyan (ACC, 2019)

Deep learning-based color holographic microscopy. - Tairan Liu; Zhensong Wei; Yair Rivenson; Kevin de Haan; Yibo Zhang; Yichen Wu; Aydogan Ozcan (CoRR, 2019)

Distance-Based Planar Formation Control using Orthogonal Variables. - Tairan Liu; Marcio de Queiroz; Farid Sahebsara (CCTA, 2020)

Deep learning-based holographic polarization microscopy. - Tairan Liu; Kevin de Haan; Bijie Bai; Yair Rivenson; Yi Luo 009; Hongda Wang; David Karalli; Hongxiang Fu; Yibo Zhang; John FitzGerald; Aydogan Ozcan (CoRR, 2020)

Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis. - Kevin de Haan; Yijie Zhang; Tairan Liu; Anthony E. Sisk; Miguel F. P. Diaz; Jonathan E. Zuckerman; Yair Rivenson; W. Dean Wallace; Aydogan Ozcan (CoRR, 2020)

An Orthogonal Basis Approach to Formation Shape Control (Extended Version). - Tairan Liu; Marcio de Queiroz (CoRR, 2020)

Switching formation shape control with distance + area/angle feedback. - Tairan Liu; Victor Fernández-Kim; Marcio de Queiroz (Syst. Control. Lett., 2020)

Flocking and Target Interception Control for Formations of Nonholonomic Kinematic Agents. - Milad Khaledyan; Tairan Liu; Victor Fernández-Kim; Marcio de Queiroz (IEEE Trans. Control. Syst. Technol., 2020)

An orthogonal basis approach to formation shape control. - Tairan Liu; Marcio de Queiroz (Autom., 2021)

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks. - Luzhe Huang; Tairan Liu; Xilin Yang; Yi Luo 009; Yair Rivenson; Aydogan Ozcan (CoRR, 2021)

Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data. - Yijie Zhang; Tairan Liu; Manmohan Singh; Yilin Luo; Yair Rivenson; Kirill V. Larin; Aydogan Ozcan (CoRR, 2021)

Further results on the distance and area control of planar formations. - Tairan Liu; Marcio de Queiroz; Pengpeng Zhang; Milad Khaledyan (Int. J. Control, 2021)

Distance + Angle-Based Control of 2-D Rigid Formations. - Tairan Liu; Marcio de Queiroz (IEEE Trans. Cybern., 2021)

Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network. - Luzhe Huang; Xilin Yang; Tairan Liu; Aydogan Ozcan (CoRR, 2022)

Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization. - Hanlong Chen; Luzhe Huang; Tairan Liu; Aydogan Ozcan (CoRR, 2022)

Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor. - 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 (CoRR, 2022)

Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography. - Tairan Liu; Yuzhu Li; Hatice Ceylan Koydemir; Yijie Zhang; Ethan Yang; Hongda Wang; Jingxi Li; Bijie Bai; Aydogan Ozcan (CoRR, 2022)

Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks. - Yijie Zhang; Luzhe Huang; Tairan Liu; Keyi Cheng; Kevin de Haan; Yuzhu Li; Bijie Bai; Aydogan Ozcan (CoRR, 2022)

Virtual stain transfer in histology via cascaded deep neural networks. - Xilin Yang; Bijie Bai; Yijie Zhang; Yuzhu Li; Kevin de Haan; Tairan Liu; Aydogan Ozcan (CoRR, 2022)

Virtual impactor-based label-free bio-aerosol detection using holography and deep learning. - Yi Luo 009; Yijie Zhang; Tairan Liu; Alan Yu; Yichen Wu; Aydogan Ozcan (CoRR, 2022)

GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency. - Luzhe Huang; Hanlong Chen; Tairan Liu; Aydogan Ozcan (CoRR, 2022)

Using Deep Reinforcement Learning And Formal Verification in Safety Critical Systems: Strategies and Challenges. - Satyam Sharma; Muhammad Abdul Basit Ur Rahim; Shahid Hussain 001; Muhammad Rizwan Abid; Tairan Liu (QRS Companion, 2023)

Formal Modeling and Verification of Industrial Robotic Arm - A Case Study. - Ilmaan Zia; Muhammad Abdul Basit Ur Rahim; Tairan Liu; Zhangying He (QRS Companion, 2023)

eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging. - Hanlong Chen; Luzhe Huang; Tairan Liu; Aydogan Ozcan (CoRR, 2023)

Virtual histological staining of unlabeled autopsy tissue. - 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; et al. (CoRR, 2023)

Self-supervised learning of hologram reconstruction using physics consistency. - Luzhe Huang; Hanlong Chen; Tairan Liu; Aydogan Ozcan (Nat. Mac. Intell., 2023)

Label-free evaluation of lung and heart transplant biopsies using virtual staining. - Yuzhu Li; Nir Pillar; Tairan Liu; Guangdong Ma; Yuxuan Qi; Kevin de Haan; Yijie Zhang; Xilin Yang; Adrian J. Correa; Guangqian Xiao; Kuang-Yu Jen; Kenneth A. Iczkowski; et al. (CoRR, 2024)

Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image. - Yuzhu Li; Hao Li; Weijie Chen; Keelan O'Riordan; Neha Mani; Yuxuan Qi; Tairan Liu; Sridhar Mani; Aydogan Ozcan (CoRR, 2024)

Gender Inequality in English Textbooks Around the World: an NLP Approach. - Tairan Liu (CoRR, 2025)