Zhihe Zhao

Orcid: 0000-0003-2955-1706

According to our database1, Zhihe Zhao authored at least 23 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.
Comput. Biol. Medicine, February, 2024

CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network.
CoRR, 2024

2023
Infrared small target segmentation networks: A survey.
Pattern Recognit., November, 2023

RMDDQN-Learning: Computation Offloading Algorithm Based on Dynamic Adaptive Multi -Objective Reinforcement Learning in Internet of Vehicles.
IEEE Trans. Veh. Technol., September, 2023

Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction.
Patterns, September, 2023

Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU.
CoRR, 2023

Moses: Exploiting Cross-Device Transferable Features for on-Device Tensor Program Optimization.
Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications, 2023

UI Binding Transfer for Bone-driven Facial Rigs.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Facial Auto Rigging from 4D Expressions via Skinning Decomposition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Deep Learning-enabled Spatial Phase Unwrapping for 3D Measurement.
CoRR, 2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications.
CoRR, 2022

Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization.
CoRR, 2022

Aaron: Compile-Time Kernel Adaptation for Multi-DNN Inference Acceleration on Edge GPU.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

BlastNet: Exploiting Duo-Blocks for Cross-Processor Real-Time DNN Inference.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

2021
EdgeML: An AutoML Framework for Real-Time Deep Learning on the Edge.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

2020
Predicting the Spread of Forest Diseases and Pests.
IEEE Access, 2020

2018
Design of a Smart Sensor Network System for Real-Time Air Quality Monitoring on Green Roof.
J. Sensors, 2018

ECRT: An Edge Computing System for Real-Time Image-based Object Tracking.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Demo Abstract: Smart City: A Real-Time Environmental Monitoring System on Green Roof.
Proceedings of the 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation, 2018

2013
Quantitative evaluation of texture characteristics of solar cell back reflectors.
Proceedings of the IEEE International Conference on Electro-Information Technology , 2013


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