Timothy T. L. Yu

According to our database, Timothy T. L. Yu authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.

Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg

Comput. Biol. Medicine, June, 2023

LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application.

Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning.

Da Ma, Meenakshi Kumar, Vikas Khetan, Parveen Sen, Muna Bhende, Shuo Chen, Timothy T. L. Yu, Sieun Lee, Eduardo V. Navajas, Joanne A. Matsubara, Myeong Jin Ju, Marinko V. Sarunic, Rajiv Raman, Mirza Faisal Beg

Comput. Biol. Medicine, 2022

Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.

Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography.

Ricky Chen, Timothy T. L. Yu, Gavin Xu, Da Ma, Marinko V. Sarunic, Mirza Faisal Beg

CoRR, 2021

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.

Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

Proceedings of the NeurIPS 2022 Competition Track, 2021

Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning.

Timothy T. L. Yu, Da Ma, Jayden Cole, MyeongJin Ju, Mirza Faisal Beg, Marinko V. Sarunic

Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021