Timothy T. L. Yu

14 papers C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficiently serving large multimedia models using EPD Disaggregation.
CoRR
Gursimran Singh, Xinglu Wang, Ivan Hu, Timothy T. L. Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan
2025 J jnl
ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models.
CoRR
Gursimran Singh, Timothy T. L. Yu, Haley Li, Cheng Chen, Hanieh Sadri, Qintao Zhang, Yu Zhang, Ying Xiong, Yong Zhang, Zhenan Fan
2024 J jnl
Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework.
INFOR Inf. Syst. Oper. Res.
Mahdi Mostajabdaveh, Timothy T. L. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2023 — conf
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application.
ACL (demo)
Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang
2023 J jnl
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
CoRR
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
2023 J jnl
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.
Comput. Biol. Medicine
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
2023 J jnl
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning.
CoRR
Timothy T. L. Yu, Da Ma, Jayden Cole, Myeong Jin Ju, Mirza Faisal Beg, Marinko V. Sarunic
2022 — conf
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.
EMNLP (Industry Track)
Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.
CoRR
Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
Clinical explainable differential diagnosis of polypoidal choroidal vasculopathy and age-related macular degeneration using deep learning.
Comput. Biol. Medicine
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
2022 J jnl
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks.
CoRR
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
2021 J jnl
Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography.
CoRR
Ricky Chen, Timothy T. L. Yu, Gavin Xu, Da Ma, Marinko V. Sarunic, Mirza Faisal Beg
2021 — conf
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
NeurIPS (Competition and Demos)
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
2021 C conf
Spectral Bandwidth Recovery of Optical Coherence Tomography Images using Deep Learning.
ISPA
Timothy T. L. Yu, Da Ma, Jayden Cole, MyeongJin Ju, Mirza Faisal Beg, Marinko V. Sarunic