Yinhao Li

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 60

Top Topics

Depth Estimation

Computed Tomography

Top Venues

Publications

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) (2024)
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) (2024)
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) (2024)
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) (2024)
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)
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 (2024)
Nozomi Mise, Yinhao Li, Yen-Wei Chen
FreISH: A Database of Japanese Freshwater Fish in the Wild and Baseline Recognition Evaluations. GCCE (2023)
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)
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)
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)
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)
Shurong Chai, Rahul Kumar Jain, Yinhao Li, Jiaqing Liu, Tomoko Tateyama, Yen-Wei Chen
Adaptive Graph Convolutional Networks for Medical Image Segmentation. EMBC (2023)
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)
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)
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)
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)
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 (2023)
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 (2023)
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) (2023)
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)
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)
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)
Jihong Hu, Yinhao Li, Lanfen Lin, Yen-Wei Chen
Integrating Spatial Prior Adapter for Enhancing SAM Performance in Medical Image Segmentation. GCCE (2023)
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 (2023)
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 (2022)
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)
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)
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 (2022)
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 (2022)
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 (2022)
Tomasz Szydlo, Prem Prakash Jayaraman, Yinhao Li, Graham Morgan, Rajiv Ranjan
TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. CIKM (2022)
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) (2022)
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) (2022)
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 (2022)
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)
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) (2022)
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)
Kazuma Okada, Yutaro Iwamoto, Yinhao Li, Yen-Wei Chen
Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution. GCCE (2022)
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 (2021)
Li Xiao, Yinhao Li, Luxi Qv, Xinxia Tian, Yijie Peng, S. Kevin Zhou
Pathological Image Segmentation with Noisy Labels. CoRR (2021)
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) (2021)
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)
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)
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 (2020)
Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao
DeepACC: Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge. CoRR (2020)
Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Yen-Wei Chen
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data. CoRR (2020)
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) (2020)
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 (2020)
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) (2020)
Toshiki Kawahara, Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen
A Lightweight Deep Network for 3D Medical Image Segmentation. GCCE (2020)
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)
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) (2020)
Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution. ACCV Workshops (2020)
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 (2019)
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 (2019)
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)
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)
Awatif Alqahtani, Yinhao Li, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan
End-to-End Service Level Agreement Specification for IoT Applications. HPCS (2018)
Awatif Alqahtani, Yinhao Li, Pankesh Patel, Ellis Solaiman, Rajiv Ranjan
End-to-End Service Level Agreement Specification for IoT Applications. CoRR (2018)
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) (2017)