Zhihui Guo

According to our database, Zhihui Guo authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A lightweight and style-robust neural network for autonomous driving in end side devices.

Sheng Han, Youfang Lin, Zhihui Guo, Kai Lv

Connect. Sci., December, 2023

Deep Reinforcement Learning-Based One-to-Multiple Cooperative Computing in Large-Scale Event-Driven Wireless Sensor Networks.

Zhihui Guo, Hongbin Chen, Shichao Li

Sensors, March, 2023

Edge server placement for offloading real-time statistics tasks of bus passenger.

Haitao Xu, Zhihui Guo, Ziliang Shang, Ji Zhao, Hui Dai

Trans. Emerg. Telecommun. Technol., February, 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang

Neural Networks, 2023

The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space.

Gábor Szárnyas, Brad Bebee, Altan Birler, Alin Deutsch, George Fletcher, Henry A. Gabb, Denise Gosnell, Alastair Green, Zhihui Guo, Keith W. Hare, Jan Hidders, Alexandru Iosup, Atanas Kiryakov, Tomas Kovatchev, Xinsheng Li, Leonid Libkin, Heng Lin, Xiaojian Luo, Arnau Prat-Pérez, David Püroja, Shipeng Qi, Oskar van Rest, Benjamin A. Steer, Dávid Szakállas, Bing Tong, Jack Waudby, Mingxi Wu, Bin Yang, Wenyuan Yu, Chen Zhang, Jason Zhang, Yan Zhou, Peter A. Boncz

CoRR, 2023

The LDBC Financial Benchmark.

Shipeng Qi, Heng Lin, Zhihui Guo, Gábor Szárnyas, Bing Tong, Yan Zhou, Bin Yang, Jiansong Zhang, Zheng Wang, Youren Shen, Changyuan Wang, Parviz Peiravi, Henry A. Gabb, Benjamin A. Steer

CoRR, 2023

2022

A reinforcement learning-based sleep scheduling algorithm for cooperative computing in event-driven wireless sensor networks.

Zhihui Guo, Hongbin Chen

Ad Hoc Networks, 2022

Multilingual Molecular Representation Learning via Contrastive Pre-training.

Zhihui Guo, Pramod Kumar Sharma, Andy Martinez, Liang Du, Robin Abraham

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning.

Zhihui Guo, Pramod Kumar Sharma, Liang Du, Robin Abraham

CoRR, 2021

Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network.

Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka

Comput. Medical Imaging Graph., 2021

2020

FilterNet: A Neighborhood Relationship Enhanced Fully Convolutional Network for Calf Muscle Compartment Segmentation.

Zhihui Guo, Honghai Zhang, Zhi Chen, Ellen van der Plas, Laurie Gutmann, Daniel Thedens, Peggy Nopoulos, Milan Sonka

CoRR, 2020

BloTISRT: Blockchain-based Threat Intelligence Sharing and Rating Technology.

Shen He, Jun Fu, Wen Jiang, Yexia Cheng, Jiake Chen, Zhihui Guo

Proceedings of the CIAT 2020: International Conference on Cyberspace Innovation of Advanced Technologies, 2020

2019

Research on Adaptive SVR Indoor Location Based on GA Optimization.

Xuming Liu, Wei Wang, Zhihui Guo, Cunhua Wang, Chen Tu

Wirel. Pers. Commun., 2019

DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction.

Zhihui Guo, Junjie Bai, Yi Lu, Xin Wang, Kunlin Cao, Qi Song, Milan Sonka, Youbing Yin

Proceedings of the Information Processing in Medical Imaging, 2019

Apple Freshness Recognition Technology Based on Gas Sensors.

Wei Wang, Zhihui Guo, Maozhen Li, Yungang Liu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Botnet Detection Method Based on Artificial Intelligence.

Zhihui Guo, Jin Peng, Jun Fu, Yexia Cheng, Cancan Chen

Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression.

Zhi Chen, Michal Pazdernik, Honghai Zhang, Andreas Wahle, Zhihui Guo, Helena Bedanova, Josef Kautzner, Vojtech Melenovsky, Tomas Kovarnik, Milan Sonka

Medical Image Anal., 2018

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans.

Zhihui Guo, Ling Zhang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Milan Sonka, Jianhua Yao

CoRR, 2018

2017

Maximum Entropy-Copula Method for Hydrological Risk Analysis under Uncertainty: A Case Study on the Loess Plateau, China.

Aijun Guo, Jianxia Chang, Yimin Wang, Qiang Huang, Zhihui Guo

Entropy, 2017

Machine learning in a graph framework for subcortical segmentation.

Zhihui Guo, Satyananda Kashyap, Milan Sonka, Ipek Oguz

Proceedings of the Medical Imaging 2017: Image Processing, 2017