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2020 – today
- 2024
[j17]Stanly Wilson
, Kwabena Adu-Duodu, Yinhao Li, Ringo W. H. Sham, Mohammed Almubarak, Yingli Wang, Ellis Solaiman, Charith Perera, Rajiv Ranjan, Omer F. Rana:
Blockchain-Enabled Provenance Tracking for Sustainable Material Reuse in Construction Supply Chains. Future Internet 16(4): 135 (2024)- [j16]Shurong Chai, Rahul Kumar Jain, Jiaqing Liu, Shiyu Teng, Tomoko Tateyama, Yinhao Li, Yen-Wei Chen:
A motion-aware and temporal-enhanced Spatial-Temporal Graph Convolutional Network for skeleton-based human action segmentation. Neurocomputing 580: 127482 (2024) - [j15]Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ellis Solaiman, Omer Farooq Rana, Schahram Dustdar, Rajiv Ranjan:
Data Management Challenges in Blockchain-Based Applications. IEEE Internet Comput. 28(1): 70-80 (2024) - [j14]Yulin Yang, Qingqing Chen, Yinhao Li, Fang Wang, Xian-Hua Han, Yutaro Iwamoto, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images. IEEE J. Biomed. Health Informatics 28(8): 4737-4750 (2024) - [j13]Yuting Ma, Kezhong Liu, Mozi Chen, Yinhao Li, Rui Sun, Rajiv Ranjan:
Rapid Crowd Evacuation for Passenger Ships Using LPWAN. IEEE Trans. Intell. Transp. Syst. 25(2): 1720-1735 (2024) - [j12]Devki Nandan Jha, Yinhao Li, Zhenyu Wen, Graham Morgan, Prem Prakash Jayaraman, Maciej Koutny, Omer F. Rana, Rajiv Ranjan:
GeoDeploy: Geo-Distributed Application Deployment Using Benchmarking. IEEE Trans. Parallel Distributed Syst. 35(12): 2361-2374 (2024) - [c37]Ryusei Imamura, Yinhao Li, Hiroshi Taga, Koki Iwasa, Ryuichi Shichikawa, Makoto Suganami, Kazuhiro Nakamoto, Yen-Wei Chen:
A Cycle-GAN-Based Method for Real-World Image Super-Resolution. GCCE 2024: 534-537 - [c36]Yusuke Yamamoto, Yinhao Li, Hiroshi Taga, Koki Iwasa, Ryuichi Shichikawa, Makoto Suganami, Kazuhiro Nakamoto, Yen-Wei Chen:
A Deep Learning-based Deraining Approach using Frequency Domain Loss. GCCE 2024: 713-716 - [c35]Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong, Fang Wang, Qingqing Chen, Hongjie Hu, Yinhao Li, Yen-Wei Chen:
k-Uniform Hypergraph Reasoning Network for Focal Liver Lesions Classification in Multimodal Magnetic Resonance Imaging. GCCE 2024: 1069-1072 - [c34]Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High accuracy Medical Image Segmentation. GCCE 2024: 1073-1076 - [c33]Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ringo W. H. Sham, Ellis Solaiman, Omer F. Rana, Rajiv Ranjan:
Verifiable Querying Framework for Multi-Blockchain Applications. ICBC 2024: 250-253 - [c32]Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images. ICCE 2024: 1-4 - [c31]Shurong Chai, Rahul Kumar Jain, Shaocong Mo, Jiaqing Liu, Yulin Yang, Yinhao Li, Tomoko Tateyama, Lanfen Lin, Yen-Wei Chen:
A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation. MICCAI (9) 2024: 23-33 - [c30]Jihong Hu, Yinhao Li, Hao Sun, Yu Song, Chujie Zhang, Lanfen Lin, Yen-Wei Chen:
LGA: A Language Guide Adapter for Advancing the SAM Model's Capabilities in Medical Image Segmentation. MICCAI (12) 2024: 610-620 - [c29]Xianru Zhang, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Multimodal Fusion with Cross-attention Transformer for HCC Early Recurrence Prediction from Multi-Phase CT and Clinical Data. MLMI 2024: 92-96 - 2023
- [j11]Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen:
Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 426-435 (2023) - [c28]Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li:
BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection. AAAI 2023: 1477-1485 - [c27]Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li:
BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo. AAAI 2023: 1486-1494 - [c26]Stanly Wilson, Kwabena Adu-Duodu, Yinhao Li, Ringo W. H. Sham, Yingli Wang, Ellis Solaiman, Charith Perera, Rajiv Ranjan, Omer F. Rana:
Tracking Material Reuse across Construction Supply Chains. e-Science 2023: 1-4 - [c25]Shurong Chai, Rahul Kumar Jain, Yinhao Li, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen:
Adaptive Graph Convolutional Networks for Medical Image Segmentation. EMBC 2023: 1-4 - [c24]Rahul Kumar Jain, Takahiro Sato, Ahmed M. El-Sayed, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Yinhao Li, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen:
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images. EMBC 2023: 1-4 - [c23]Xiaoyu Shi, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
Multi-task Model for Glioma Segmentation and Isocitrate Dehydrogenase Status Prediction Using Global and Local Features. EMBC 2023: 1-5 - [c22]Yulin Yang, Yinhao Li, Qingqing Chen, Xian-Hua Han, Jing Liu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
Spatial Attention-Guided Generative Adversarial Network for Synthesizing Contrast-enhanced Computed Tomography Images. EMBC 2023: 1-4 - [c21]Xianru Zhang, Gan Zhan, Fang Wang, Yinhao Li, Lanfen Lin, Hongjie Hu, Yen-Wei Chen:
A Self-Supervised Transformer-Based Model for Early Recurrence Prediction of HCC with Multimodal MRI. GCCE 2023: 16-19 - [c20]Jihong Hu, Yinhao Li, Lanfen Lin, Yen-Wei Chen:
Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. GCCE 2023: 20-23 - [c19]Hikari Maeda, Yutaro Iwamoto, Masahiro Nonaka, Yinhao Li, Yen-Wei Chen:
A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI. GCCE 2023: 727-730 - [c18]Nozomi Mise, Yinhao Li, Yen-Wei Chen:
FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations. GCCE 2023: 738-741 - [c17]Yang Ai, Yinhao Li, Rahul Kumar Jain, Yen-Wei Chen:
A Self-Attention Based Fusion Model of Radiomics and Deep Features for Early Recurrence Prediction in NSCLC. GCCE 2023: 833-837 - [c16]Titinunt Kitrungrotsakul, Yingying Xu, Qingqing Chen, Jing Liu, Yinhao Li, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen:
MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images. MedInfo 2023: 901-905 - [c15]Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Yinhao Li, Tomoko Tateyama, Yen-Wei Chen:
A Spatial-Temporal Graph Convolutional Networks-based Approach for the OpenPack Challenge 2022. PerCom Workshops 2023: 267-269 - [i14]Yinhao Li, Jinrong Yang, Jianjian Sun, Han Bao, Zheng Ge, Li Xiao:
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo. CoRR abs/2304.04185 (2023) - [i13]Shurong Chai, Rahul Kumar Jain, Shiyu Teng, Jiaqing Liu, Yinhao Li, Tomoko Tateyama, Yen-Wei Chen:
Ladder Fine-tuning approach for SAM integrating complementary network. CoRR abs/2306.12737 (2023) - [i12]Xiaoyu Shi, Shurong Chai, Yinhao Li, Jingliang Cheng, Jie Bai, Guohua Zhao, Yen-Wei Chen:
Cross-modality Attention Adapter: A Glioma Segmentation Fine-tuning Method for SAM Using Multimodal Brain MR Images. CoRR abs/2307.01124 (2023) - 2022
- [j10]Osama Almurshed, Omer Farooq Rana, Yinhao Li, Rajiv Ranjan, Devki Nandan Jha, Pankesh Patel, Prem Prakash Jayaraman, Schahram Dustdar:
A Fault-Tolerant Workflow Composition and Deployment Automation IoT Framework in a Multicloud Edge Environment. IEEE Internet Comput. 26(4): 45-52 (2022) - [j9]Rui Sun, Yinhao Li, Tejal Shah, Ringo W. H. Sham, Tomasz Szydlo, Bin Qian, Dhaval Thakker, Rajiv Ranjan:
FedMSA: A Model Selection and Adaptation System for Federated Learning. Sensors 22(19): 7244 (2022) - [j8]Fawzy Habeeb, Khaled Alwasel, Ayman Noor, Devki Nandan Jha, Duaa AlQattan, Yinhao Li, Gagangeet Singh Aujla, Tomasz Szydlo, Rajiv Ranjan:
Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum. IEEE Trans. Ind. Informatics 18(11): 8017-8026 (2022) - [c14]Gan Zhan, Fang Wang, Weibin Wang, Yinhao Li, Qingqing Chen, Hongjie Hu, Yen-Wei Chen:
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI. ACCV (Workshops) 2022: 185-194 - [c13]Tomasz Szydlo, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Ranjan:
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. CIKM 2022: 4985-4988 - [c12]Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen:
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer. EMBC 2022: 447-450 - [c11]Tomoya Komiyama, Yinhao Li, Yen-Wei Chen, Yu Song, Yutaro Iwamoto:
Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity. GCCE 2022: 637-640 - [c10]Kazuma Okada, Yutaro Iwamoto, Yinhao Li, Yen-Wei Chen:
Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution. GCCE 2022: 641-644 - [c9]Weibin Wang, Fang Wang, Yunjun Yang, Yinhao Li, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen:
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image. GCCE 2022: 926-929 - [i11]Yinhao Li, Yutaro Iwamoto, Ryousuke Nakamura, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen:
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer. CoRR abs/2203.03951 (2022) - [i10]Yinhao Li, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun, Zeming Li:
BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object Detection. CoRR abs/2206.10092 (2022) - [i9]Zengran Wang, Chen Min, Zheng Ge, Yinhao Li, Zeming Li, Hongyu Yang, Di Huang:
STS: Surround-view Temporal Stereo for Multi-view 3D Detection. CoRR abs/2208.10145 (2022) - [i8]Yinhao Li, Han Bao, Zheng Ge, Jinrong Yang, Jianjian Sun, Zeming Li:
BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection with Dynamic Temporal Stereo. CoRR abs/2209.10248 (2022) - [i7]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance. CoRR abs/2210.14645 (2022) - 2021
- [j7]Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou:
Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. Int. J. Comput. Assist. Radiol. Surg. 16(5): 749-756 (2021) - [j6]Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Maciej Koutny, Rajiv Ranjan:
Orchestrating the Development Lifecycle of Machine Learning-based IoT Applications: A Taxonomy and Survey. ACM Comput. Surv. 53(4): 82:1-82:47 (2021) - [j5]Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Ruofeng Tong, Yen-Wei Chen:
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data. IEEE Trans. Image Process. 30: 4840-4854 (2021) - [c8]Hongyi Wang, Lanfen Lin, Hongjie Hu, Qingqing Chen, Yinhao Li, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong:
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance. MICCAI (1) 2021: 131-141 - [c7]Davit Marikyan, Jose Tomas Llanos, Masoud Barati, Gagangeet Singh Aujla, Yinhao Li, Kwabena Adu-Duodu, Sabeen Tahir, Omer F. Rana, Savvas Papagiannidis, Rajiv Ranjan, Madeline Carr:
Privacy & Cloud Services: Are We There Yet? SOSE 2021: 11-19 - [i6]Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou:
Pathological Image Segmentation with Noisy Labels. CoRR abs/2104.02602 (2021) - 2020
- [j4]Yinhao Li, Katsuhisa Ogawa, Yutaro Iwamoto, Yen-Wei Chen:
Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images. IET Image Process. 14(1): 168-175 (2020) - [j3]Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao:
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. IEEE Trans. Medical Imaging 39(12): 3920-3932 (2020) - [c6]Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen:
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. ACCV Workshops 2020: 18-30 - [c5]Toshiki Kawahara, Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen:
A Lightweight Deep Network for 3D Medical Image Segmentation. GCCE 2020: 663-666 - [c4]Yinhao Li, Devki Nandan Jha, Gagangeet Singh Aujla, Graham Morgan, Albert Y. Zomaya, Rajiv Ranjan:
IoTWC: Analytic Hierarchy Process Based Internet of Things Workflow Composition System. IC2E 2020: 1-10 - [i5]Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, Yen-Wei Chen:
Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors. CoRR abs/2008.11921 (2020) - [i4]Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen:
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. CoRR abs/2010.08357 (2020) - [i3]Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S. Kevin Zhou:
Deep Learning to Segment Pelvic Bones: Large-scale CT Datasets and Baseline Models. CoRR abs/2012.08721 (2020)
2010 – 2019
- 2019
- [j2]Yinhao Li, Awatif Alqahtani, Ellis Solaiman, Charith Perera, Prem Prakash Jayaraman, Rajkumar Buyya, Graham Morgan, Rajiv Ranjan:
IoT-CANE: A unified knowledge management system for data-centric Internet of Things application systems. J. Parallel Distributed Comput. 131: 161-172 (2019) - [c3]Devki Nandan Jha, Zhenyu Wen, Yinhao Li, Michael Nee, Maciej Koutny, Rajiv Ranjan:
A Cost-Efficient Multi-cloud Orchestrator for Benchmarking Containerized Web-Applications. WISE 2019: 407-423 - [i2]Bin Qian, Jie Su, Zhenyu Wen, Devki Nandan Jha, Yinhao Li, Yu Guan, Deepak Puthal, Philip James, Renyu Yang, Albert Y. Zomaya, Omer F. Rana, Lizhe Wang, Rajiv Ranjan:
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey. CoRR abs/1910.05433 (2019) - 2018
- [c2]Yinhao Li, Yutaro Iwamoto, Katsuhisa Ogawa, Yen-Wei Chen:
Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images. ICCE 2018: 1-4 - [c1]Awatif Alqahtani, Yinhao Li, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan:
End-to-End Service Level Agreement Specification for IoT Applications. HPCS 2018: 926-935 - [i1]Awatif Alqahtani, Yinhao Li, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan:
End-to-End Service Level Agreement Specification for IoT Applications. CoRR abs/1810.05937 (2018) - 2017
- [j1]Khaled Alwasel, Yinhao Li, Prem Prakash Jayaraman, Saurabh Kumar Garg, Rodrigo N. Calheiros, Rajiv Ranjan:
Programming SDN-Native Big Data Applications: Research Gap Analysis. IEEE Cloud Comput. 4(5): 62-71 (2017)
Coauthor Index
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last updated on 2024-12-13 19:09 CET by the dblp team
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