Debiao Li

47 papers A 1B 2Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection.
CoRR
Zengtian Deng, Yimeng He, Yu Shi, Lixia Wang, Touseef Ahmad Qureshi, Xiuzhen Huang, Debiao Li
2026 J jnl
Hyper-heuristic enhanced teaching-learning-based optimization for energy-efficient hybrid flow shop scheduling with batch processing machines under time-of-use tariffs.
Appl. Soft Comput.
Jing Wang, Jingsheng Lian, Lixin Cheng, Huan Xue, Hongdi Zhou, Debiao Li, Deming Lei, Xixing Li
2026 J jnl
Robust optimization of bi-objective operating room scheduling considering anesthesiologist and patient satisfaction.
Expert Syst. Appl.
Debiao Li, Shan Chen, Yaling Wang, Zhe Wu, Chengbin Chu, Shixiang Zheng
2025 J jnl
A prescriptive tree-based model for energy-efficient room scheduling: Considering uncertainty in energy generation and consumption.
Eur. J. Oper. Res.
Siping Chen, Raymond Chiong, Debiao Li
2025 J jnl
Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic Tasks.
CoRR
Peiran Xu, Zhuohao Li, Xiaoying Xing, Guannan Zhang, Debiao Li, Kunyu Shi
2025 J jnl
Intelligent prognostics of syngas pipeline elbow erosion via a hybrid machine learning-digital twin framework.
J. Ind. Inf. Integr.
Yangyang Bao, Zeyang Shi, Xian Li, Yan An, Wenming Song, Yuge Li, Wei Wu, Liping Wei, Yuan Yan, Debiao Li
2025 J jnl
Multi-stage mine production timetabling with optimising the sizes of mining operations: an application of parallel-machine flow shop scheduling with lot streaming.
Ann. Oper. Res.
Shi Qiang Liu, Erhan Kozan, Mahmoud Masoud, Debiao Li, Kai Luo
2025 J jnl
Symmetry-Driven Two-Population Collaborative Differential Evolution for Parallel Machine Scheduling in Lace Dyeing with Probabilistic Re-Dyeing Operations.
Symmetry
Jing Wang, Jingsheng Lian, Youpeng Deng, Lang Pan, Huan Xue, Yanming Chen, Debiao Li, Xixing Li, Deming Lei
2024 J jnl
A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines.
IEEE Trans. Engineering Management
Mehdi Abedi, Raymond Chiong, Nasimul Noman, Xiaoya Liao, Debiao Li
2024 J jnl
A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process.
Appl. Soft Comput.
Jing Wang, Debiao Li, Hongtao Tang, Xixing Li, Deming Lei
2024 — conf
An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling.
AI (1)
Siping Chen, Debiao Li, Nasimul Noman, Kyle Robert Harrison, Raymond Chiong
2024 — conf
An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines.
GECCO Companion
Siping Chen, Debiao Li, Xiqin Gan, Raymond Chiong
2024 J jnl
An overview of developments and challenges for unmanned surface vehicle autonomous berthing.
Complex Intell. Syst.
Gongxing Wu, Debiao Li, Hao Ding, Danda Shi, Bing Han
2024 J jnl
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation.
CoRR
Milos Vukadinovic, Xiu Tang, Neal Yuan, Paul P. Cheng, Debiao Li, Susan Cheng, Bryan He, David Ouyang
2024 J jnl
Learning and Optimization of Patient-Physician Matching Index in Specialty Care.
IEEE Trans Autom. Sci. Eng.
Debiao Li, Xiaoqiang Chen, Siping Chen
2023 J jnl
An Order Scheduling Heuristic to Minimize the Total Collation Delays and the Makespan in High-Throughput Make-to-Order Manufacturing Systems.
Oper. Res. Forum
Husam Dauod, Nieqing Cao, Debiao Li, Jaehee Kim, Sang Won Yoon, Daehan Won
2023 — conf
GANcMRI: Cardiac magnetic resonance video generation and physiologic guidance using latent space prompting.
ML4H@NeurIPS
Milos Vukadinovic, Alan C. Kwan, Debiao Li, David Ouyang
2022 — conf
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction.
ISBI
Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou
2022 J jnl
Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction.
CoRR
Zihao Chen, Yuhua Chen, Yibin Xie, Debiao Li, Anthony G. Christodoulou
2022 — conf
FedRNN: Federated Learning with RNN-Based Aggregation on Pancreas Segmentation.
MICAD
Zengtian Deng, Touseef Ahmad Qureshi, Sehrish Javed, Lixia Wang, Anthony G. Christodoulou, Yibin Xie, Srinivas Gaddam, Stephen Jacob Pandol, Debiao Li
2022 — conf
Intracranial Vessel Wall Segmentation with Deep Learning Using a Novel Tiered Loss Function to Incorporate Class Inclusion.
ISBI
Hanyue Zhou, Jiayu Xiao, Debiao Li, Zhaoyang Fan, Dan Ruan
2022 J jnl
Optimization study of three-stage assembly flowshop problem in pharmacy automation dispensing systems.
Comput. Oper. Res.
Debiao Li, Xiaoming Ruan, Qing Yue
2022 J jnl
Segmentation of Pancreatic Subregions in Computed Tomography Images.
J. Imaging
Sehrish Javed, Touseef Ahmad Qureshi, Zengtian Deng, Ashley Wachsman, Yaniv Raphael, Srinivas Gaddam, Yibin Xie, Stephen Jacob Pandol, Debiao Li
2021 J jnl
A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility.
Int. J. Prod. Res.
Debiao Li, Jing Wang, Rui Qiang, Raymond Chiong
2021 J jnl
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.
IEEE Trans. Medical Imaging
Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang
2021 J jnl
Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble.
Int. J. Prod. Res.
Debiao Li, Siping Chen, Raymond Chiong, Liting Wang, Sandeep Dhakal
2020 J jnl
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.
CoRR
Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang
2020 J jnl
MRI Super-Resolution with GAN and 3D Multi-Level DenseNet: Smaller, Faster, and Better.
CoRR
Yuhua Chen, Anthony G. Christodoulou, Zhengwei Zhou, Feng Shi, Yibin Xie, Debiao Li
2019 J jnl
Clustering-Based Heuristic to Optimize Nozzle and Feeder Assignments for Collect-and-Place Assembly.
IEEE Trans Autom. Sci. Eng.
Debiao Li, Tian He, Sang Won Yoon
2019 — conf
Deep Learning Within a Priori Temporal Feature Spaces for Large-Scale Dynamic MR Image Reconstruction: Application to 5-D Cardiac MR Multitasking.
MICCAI (2)
Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou
2019 J jnl
Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking.
CoRR
Yuhua Chen, Jaime L. Shaw, Yibin Xie, Debiao Li, Anthony G. Christodoulou
2019 J jnl
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks.
CoRR
Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan
2019 J jnl
Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.
IEEE Trans. Biomed. Eng.
Feng Shi, Qi Yang, Xiuhai Guo, Touseef Ahmad Qureshi, Zixiao Tian, Huijuan Miao, Damini Dey, Debiao Li, Zhaoyang Fan
2019 — conf
Substantia nigra segmentation on Neuromelanin-sensitive MRI.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Touseef Ahmad Qureshi, Elliot Hogg, Cody Lynch, Debiao Li, Michele Tagliati, Zhaoyang Fan
2018 J jnl
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints.
IEEE Trans. Biomed. Eng.
Sen Ma, Christopher T. Nguyen, Anthony G. Christodoulou, Daniel Luthringer, Jon Kobashigawa, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li
2018 J jnl
An adaptive clustering-based genetic algorithm for the dual-gantry pick-and-place machine optimization.
Adv. Eng. Informatics
Tian He, Debiao Li, Sang Won Yoon
2018 J jnl
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks.
CoRR
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
2018 — conf
Brain MRI super resolution using 3D deep densely connected neural networks.
ISBI
Yuhua Chen, Yibin Xie, Zhengwei Zhou, Feng Shi, Anthony G. Christodoulou, Debiao Li
2018 J jnl
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network.
CoRR
Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
2018 — conf
Calcium removal from cardiac ct images using deep convolutional neural network.
ISBI
Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie
2018 — conf
Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network.
MICCAI (1)
Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li
2018 J jnl
Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network.
CoRR
Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Zhengwei Zhou, Yibin Xie, Debiao Li
2015 — conf
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography.
MIUA
Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Daniel S. Berman, Debiao Li, Demetri Terzopoulos, Piotr J. Slomka, Damini Dey
2015 J jnl
Implementation of web-based manufacturing process aid in the electronic assembly shop floor.
J. Intell. Manuf.
Debiao Li, Venkatesh Raghavan, Sang Won Yoon
2012 B conf
Automatic detection of significant and subtle arterial lesions from coronary CT angiography.
Image Processing
Dongwoo Kang, Piotr J. Slomka, Ryo Nakazato, Victor Cheng, James K. Min, Debiao Li, Daniel S. Berman, C.-C. Jay Kuo, Damini Dey
2008 B conf
A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI.
ICIP
Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar
1998 A conf
Measurement of 3D Motion of Myocardial Material Points from Explicit B-Surface Reconstruction of Tagged MRI Data.
MICCAI
Amir A. Amini, Petia Radeva, Mohamed Elayyadi, Debiao Li