Blockchain-Enabled Provenance Tracking for Sustainable Material Reuse in Construction Supply Chains. - Wilson, Stanly; Adu-Duodu, Kwabena; Li, Yinhao; Sham, Ringo W. H.; Almubarak, Mohammed; Wang, Yingli; Solaiman, Ellis; Perera, Charith; Ranjan, Rajiv; Rana, Omer F. (Future Internet, 2024)

A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation. - Chai, Shurong; Jain, Rahul Kumar; Liu, Jiaqing; Teng, Shiyu; Tateyama, Tomoko; Li, Yinhao; Chen, Yen-Wei (Neurocomputing, 2024)

Data Management Challenges in Blockchain-Based Applications. - Wilson, Stanly; Adu-Duodu, Kwabena; Li, Yinhao; Solaiman, Ellis; Rana, Omer Farooq; Dustdar, Schahram; Ranjan, Rajiv (IEEE Internet Comput., 2024)

Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. - Yang, Yulin; Chen, Qingqing; Li, Yinhao; Wang, Fang; Han, Xian-Hua; Iwamoto, Yutaro; Liu, Jing; Lin, Lanfen; Hu, Hongjie; Chen, Yen-Wei (IEEE J. Biomed. Health Informatics, 2024)

Rapid Crowd Evacuation for Passenger Ships Using LPWAN. - Ma, Yuting; Liu, Kezhong; Chen, Mozi; Li, Yinhao; Sun, Rui; Ranjan, Rajiv (IEEE Trans. Intell. Transp. Syst., 2024)

GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking. - Jha, Devki Nandan; Li, Yinhao; Wen, Zhenyu; Morgan, Graham; Jayaraman, Prem Prakash; Koutny, Maciej; Rana, Omer F.; Ranjan, Rajiv (IEEE Trans. Parallel Distributed Syst., 2024)

Biologically Interpretable Model for Precise Recurrence Prediction of Non-Small Cell Lung Cancer. - Ai, Yang; Du, Xiuju; Liu, Jing; Li, Yinhao; Lin, Lanfen; Li, Jingsong; Chen, Yen-Wei (2024)

UPMatch: Enhancing Semi-Supervised Medical Image Classification through Contrastive Learning with Unreliable Pseudo Labels. - Hu, Jihong; Li, Yinhao; Lin, Lanfen; Chen, Yen-Wei (2024)

GANs-guided Conditional Diffusion Model for Synthesizing Contrast-enhanced Computed Tomography Images. - Yang, Yulin; Liu, Jing; Chen, Qingqing; Li, Yinhao; Han, Xian-Hua; Hu, Hongjie; Lin, Lanfen; Chen, Yen-Wei (2024)

STFormer: Learning to Explore Spot Relationships for Spatial Transcriptomics Prediction from Histology of Colorectal Cancer. - Zhan, Gan; Du, Xiuju; Liu, Jing; Li, Yinhao; Lin, Lanfen; Li, Jingsong; Chen, Yen-Wei (2024)

A Cycle-GAN-Based Method for Real-World Image Super-Resolution. - Imamura, Ryusei; Li, Yinhao; Taga, Hiroshi; Iwasa, Koki; Shichikawa, Ryuichi; Suganami, Makoto; Nakamoto, Kazuhiro; Chen, Yen-Wei (2024)

A Deep Learning-based Deraining Approach using Frequency Domain Loss. - Yamamoto, Yusuke; Li, Yinhao; Taga, Hiroshi; Iwasa, Koki; Shichikawa, Ryuichi; Suganami, Makoto; Nakamoto, Kazuhiro; Chen, Yen-Wei (2024)

k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging. - Mo, Shaocong; Cai, Ming; Lin, Lanfen; Tong, Ruofeng; Wang, Fang; Chen, Qingqing; Hu, Hongjie; Li, Yinhao; Chen, Yen-Wei (2024)

Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation. - Shi, Xiaoyu; Li, Yinhao; Cheng, Jingliang; Bai, Jie; Zhao, Guohua; Chen, Yen-Wei (2024)

Verifiable Querying Framework for Multi-Blockchain Applications. - Wilson, Stanly; Adu-Duodu, Kwabena; Li, Yinhao; Sham, Ringo W. H.; Solaiman, Ellis; Rana, Omer F.; Ranjan, Rajiv (2024)

Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images. - Shi, Xiaoyu; Li, Yinhao; Cheng, Jingliang; Bai, Jie; Zhao, Guohua; Chen, Yen-Wei (2024)

Ladder Fine-tuning Approach for SAM Integrating Complementary Network. - Chai, Shurong; Jain, Rahul Kumar; Teng, Shiyu; Liu, Jiaqing; Li, Yinhao; Tateyama, Tomoko; Chen, Yen-Wei (2024)

A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. - Chai, Shurong; Jain, Rahul Kumar; Mo, Shaocong; Liu, Jiaqing; Yang, Yulin; Li, Yinhao; Tateyama, Tomoko; Lin, Lanfen; Chen, Yen-Wei (2024)

LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation. - Hu, Jihong; Li, Yinhao; Sun, Hao; Song, Yu; Zhang, Chujie; Lin, Lanfen; Chen, Yen-Wei (2024)

Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data. - Zhang, Xianru; Wang, Fang; Li, Yinhao; Lin, Lanfen; Hu, Hongjie; Chen, Yen-Wei (2024)

Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors. - Iwamoto, Yutaro; Takeda, Kyohei; Li, Yinhao; Shiino, Akihiko; Chen, Yen-Wei (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. - Li, Yinhao; Ge, Zheng; Yu, Guanyi; Yang, Jinrong; Wang, Zengran; Shi, Yukang; Sun, Jianjian; Li, Zeming (2023)

BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. - Li, Yinhao; Bao, Han; Ge, Zheng; Yang, Jinrong; Sun, Jianjian; Li, Zeming (2023)

Tracking Material Reuse across Construction Supply Chains. - Wilson, Stanly; Adu-Duodu, Kwabena; Li, Yinhao; Sham, Ringo W. H.; Wang, Yingli; Solaiman, Ellis; Perera, Charith; Ranjan, Rajiv; Rana, Omer F. (2023)

Adaptive Graph Convolutional Networks for Medical Image Segmentation. - Chai, Shurong; Jain, Rahul Kumar; Li, Yinhao; Liu, Jiaqing; Tateyama, Tomoko; Chen, Yen-Wei (2023)

Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. - Jain, Rahul Kumar; Sato, Takahiro; El-Sayed, Ahmed M.; Watasue, Taro; Nakagawa, Tomohiro; Iwamoto, Yutaro; Li, Yinhao; Han, Xianhua; Lin, Lanfen; Hu, Hongjie; Ruan, Xiang; Chen, Yen-Wei (2023)

Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features. - Shi, Xiaoyu; Li, Yinhao; Cheng, Jingliang; Bai, Jie; Zhao, Guohua; Chen, Yen-Wei (2023)

Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. - Yang, Yulin; Li, Yinhao; Chen, Qingqing; Han, Xian-Hua; Liu, Jing; Lin, Lanfen; Hu, Hongjie; Chen, Yen-Wei (2023)

A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. - Zhang, Xianru; Zhan, Gan; Wang, Fang; Li, Yinhao; Lin, Lanfen; Hu, Hongjie; Chen, Yen-Wei (2023)

Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. - Hu, Jihong; Li, Yinhao; Lin, Lanfen; Chen, Yen-Wei (2023)

A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI. - Maeda, Hikari; Iwamoto, Yutaro; Nonaka, Masahiro; Li, Yinhao; Chen, Yen-Wei (2023)

FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations. - Mise, Nozomi; Li, Yinhao; Chen, Yen-Wei (2023)

A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC. - Ai, Yang; Li, Yinhao; Jain, Rahul Kumar; Chen, Yen-Wei (2023)

MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. - Kitrungrotsakul, Titinunt; Xu, Yingying; Chen, Qingqing; Liu, Jing; Li, Yinhao; Lin, Lanfen; Hu, Hongjie; Tong, Ruofeng; Li, Jingsong; Chen, Yen-Wei (2023)

A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022. - Chai, Shurong; Liu, Jiaqing; Jain, Rahul Kumar; Li, Yinhao; Tateyama, Tomoko; Chen, Yen-Wei (2023)

BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo. - Li, Yinhao; Yang, Jinrong; Sun, Jianjian; Bao, Han; Ge, Zheng; Xiao, Li (CoRR, 2023)

Ladder Fine-tuning approach for SAM integrating complementary network. - Chai, Shurong; Jain, Rahul Kumar; Teng, Shiyu; Liu, Jiaqing; Li, Yinhao; Tateyama, Tomoko; Chen, Yen-Wei (CoRR, 2023)

Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images. - Shi, Xiaoyu; Chai, Shurong; Li, Yinhao; Cheng, Jingliang; Bai, Jie; Zhao, Guohua; Chen, Yen-Wei (CoRR, 2023)

A Fault-Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multicloud Edge Environment. - Almurshed, Osama; Rana, Omer Farooq; Li, Yinhao; Ranjan, Rajiv; Jha, Devki Nandan; Patel, Pankesh; Jayaraman, Prem Prakash; Dustdar, Schahram (IEEE Internet Comput., 2022)

FedMSA: A Model Selection and Adaptation System for Federated Learning. - Sun, Rui; Li, Yinhao; Shah, Tejal; Sham, Ringo W. H.; Szydlo, Tomasz; Qian, Bin; Thakker, Dhaval; Ranjan, Rajiv (Sensors, 2022)

Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum. - Habeeb, Fawzy; Alwasel, Khaled; Noor, Ayman; Jha, Devki Nandan; AlQattan, Duaa; Li, Yinhao; Aujla, Gagangeet Singh; Szydlo, Tomasz; Ranjan, Rajiv (IEEE Trans. Ind. Informatics, 2022)

A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI. - Zhan, Gan; Wang, Fang; Wang, Weibin; Li, Yinhao; Chen, Qingqing; Hu, Hongjie; Chen, Yen-Wei (2022)

TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. - Szydlo, Tomasz; Jayaraman, Prem Prakash; Li, Yinhao; Morgan, Graham; Ranjan, Rajiv (2022)

Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. - Ai, Yang; Aonpong, Panyanat; Wang, Weibin; Li, Yinhao; Iwamoto, Yutaro; Han, Xianhua; Chen, Yen-Wei (2022)

Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity. - Komiyama, Tomoya; Li, Yinhao; Chen, Yen-Wei; Song, Yu; Iwamoto, Yutaro (2022)

Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution. - Okada, Kazuma; Iwamoto, Yutaro; Li, Yinhao; Chen, Yen-Wei (2022)

Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. - Wang, Weibin; Wang, Fang; Yang, Yunjun; Li, Yinhao; Liu, Jing; Han, Xianhua; Lin, Lanfen; Tong, Ruofeng; Hu, Hongjie; Chen, Yen-Wei (2022)

Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer. - Li, Yinhao; Iwamoto, Yutaro; Nakamura, Ryousuke; Lin, Lanfen; Tong, Ruofeng; Chen, Yen-Wei (CoRR, 2022)

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection. - Li, Yinhao; Ge, Zheng; Yu, Guanyi; Yang, Jinrong; Wang, Zengran; Shi, Yukang; Sun, Jianjian; Li, Zeming (CoRR, 2022)

STS: Surround-view Temporal Stereo for Multi-view 3D Detection. - Wang, Zengran; Min, Chen; Ge, Zheng; Li, Yinhao; Li, Zeming; Yang, Hongyu; Huang, Di (CoRR, 2022)

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo. - Li, Yinhao; Bao, Han; Ge, Zheng; Yang, Jinrong; Sun, Jianjian; Li, Zeming (CoRR, 2022)

Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. - Wang, Hongyi; Lin, Lanfen; Hu, Hongjie; Chen, Qingqing; Li, Yinhao; Iwamoto, Yutaro; Han, Xian-Hua; Chen, Yen-Wei; Tong, Ruofeng (CoRR, 2022)

Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Liu, Pengbo; Han, Hu; Du, Yuanqi; Zhu, Heqin; Li, Yinhao; Gu, Feng; Xiao, Honghu; Li, Jun; Zhao, Chunpeng; Xiao, Li; Wu, Xinbao; Zhou, S. Kevin (Int. J. Comput. Assist. Radiol. Surg., 2021)

Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey. - Qian, Bin; Su, Jie; Wen, Zhenyu; Jha, Devki Nandan; Li, Yinhao; Guan, Yu; Puthal, Deepak; James, Philip; Yang, Renyu; Zomaya, Albert Y.; Rana, Omer F.; Wang, Lizhe; et al. (ACM Comput. Surv., 2021)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. - Li, Yinhao; Iwamoto, Yutaro; Lin, Lanfen; Xu, Rui; Tong, Ruofeng; Chen, Yen-Wei (IEEE Trans. Image Process., 2021)

Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. - Wang, Hongyi; Lin, Lanfen; Hu, Hongjie; Chen, Qingqing; Li, Yinhao; Iwamoto, Yutaro; Han, Xian-Hua; Chen, Yen-Wei; Tong, Ruofeng (2021)

Privacy & Cloud Services: Are We There Yet? - Marikyan, Davit; Llanos, Jose Tomas; Barati, Masoud; Aujla, Gagangeet Singh; Li, Yinhao; Adu-Duodu, Kwabena; Tahir, Sabeen; Rana, Omer F.; Papagiannidis, Savvas; Ranjan, Rajiv; Carr, Madeline (2021)

Pathological Image Segmentation with Noisy Labels. - Xiao, Li; Li, Yinhao; Qv, Luxi; Tian, Xinxia; Peng, Yijie; Zhou, S. Kevin (CoRR, 2021)

Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images. - Li, Yinhao; Ogawa, Katsuhisa; Iwamoto, Yutaro; Chen, Yen-Wei (IET Image Process., 2020)

DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. - Xiao, Li; Luo, Chunlong; Yu, Tianqi; Luo, Yufan; Wang, Manqing; Yu, Fuhai; Li, Yinhao; Tian, Chan; Qiao, Jie (IEEE Trans. Medical Imaging, 2020)

Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. - Li, Yinhao; Iwamoto, Yutaro; Lin, Lanfen; Chen, Yen-Wei (2020)

A Lightweight Deep Network for 3D Medical Image Segmentation. - Kawahara, Toshiki; Li, Yinhao; Iwamoto, Yutaro; Lin, Lanfen; Chen, Yen-Wei (2020)

IoTWC: Analytic Hierarchy Process Based Internet of Things Workflow Composition System. - Li, Yinhao; Jha, Devki Nandan; Aujla, Gagangeet Singh; Morgan, Graham; Zomaya, Albert Y.; Ranjan, Rajiv (2020)

Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors. - Iwamoto, Yutaro; Takeda, Kyohei; Li, Yinhao; Shiino, Akihiko; Chen, Yen-Wei (CoRR, 2020)

VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. - Li, Yinhao; Iwamoto, Yutaro; Lin, Lanfen; Xu, Rui; Chen, Yen-Wei (CoRR, 2020)

Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. - Liu, Pengbo; Han, Hu; Du, Yuanqi; Zhu, Heqin; Li, Yinhao; Gu, Feng; Xiao, Honghu; Li, Jun; Zhao, Chunpeng; Xiao, Li; Wu, Xinbao; Zhou, S. Kevin (CoRR, 2020)

IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems. - Li, Yinhao; Alqahtani, Awatif; Solaiman, Ellis; Perera, Charith; Jayaraman, Prem Prakash; Buyya, Rajkumar; Morgan, Graham; Ranjan, Rajiv (J. Parallel Distributed Comput., 2019)

A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications. - Jha, Devki Nandan; Wen, Zhenyu; Li, Yinhao; Nee, Michael; Koutny, Maciej; Ranjan, Rajiv (2019)

Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. - Qian, Bin; Su, Jie; Wen, Zhenyu; Jha, Devki Nandan; Li, Yinhao; Guan, Yu; Puthal, Deepak; James, Philip; Yang, Renyu; Zomaya, Albert Y.; Rana, Omer F.; Wang, Lizhe; et al. (CoRR, 2019)

Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images. - Li, Yinhao; Iwamoto, Yutaro; Ogawa, Katsuhisa; Chen, Yen-Wei (2018)

End-to-End Service Level Agreement Specification for IoT Applications. - Alqahtani, Awatif; Li, Yinhao; Patel, Pankesh; Solaiman, Ellis; Ranjan, Rajiv (2018)

End-to-End Service Level Agreement Specification for IoT Applications. - Alqahtani, Awatif; Li, Yinhao; Patel, Pankesh; Solaiman, Ellis; Ranjan, Rajiv (CoRR, 2018)

Programming SDN-Native Big Data Applications: Research Gap Analysis. - Alwasel, Khaled; Li, Yinhao; Jayaraman, Prem Prakash; Garg, Saurabh Kumar; Calheiros, Rodrigo N.; Ranjan, Rajiv (IEEE Cloud Comput., 2017)