Machine learning in a graph framework for subcortical segmentation. - Zhihui Guo; Satyananda Kashyap; Milan Sonka; Ipek Oguz (Image Processing, 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)

Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans. - Zhihui Guo; Ling Zhang 002; Le Lu 001; Mohammadhadi Bagheri; Ronald M. Summers; Milan Sonka; Jianhua Yao 001 (CoRR, 2018)

Quantitative 3D Analysis of Coronary Wall Morphology in Heart Transplant Patients: OCT-Assessed Cardiac Allograft Vasculopathy Progression. - Zhi Chen 025; Michal Pazdernik; Honghai Zhang; Andreas Wahle; Zhihui Guo; Helena Bedanova; Josef Kautzner; Vojtech Melenovsky; Tomas Kovarnik; Milan Sonka (Medical Image Anal., 2018)

Botnet Detection Method Based on Artificial Intelligence. - Zhihui Guo; Jin Peng; Jun Fu 009; Yexia Cheng; Cancan Chen (DSC, 2019)

Apple Freshness Recognition Technology Based on Gas Sensors. - Wei Wang 158; Zhihui Guo; Maozhen Li 001; Yungang Liu (ICNC-FSKD, 2019)

DeepCenterline: A Multi-task Fully Convolutional Network for Centerline Extraction. - Zhihui Guo; Junjie Bai; Yi Lu 019; Xin Wang 045; Kunlin Cao; Qi Song 001; Milan Sonka; Youbing Yin (IPMI, 2019)

Research on Adaptive SVR Indoor Location Based on GA Optimization. - Xuming Liu; Wei Wang 158; Zhihui Guo; Cunhua Wang; Chen Tu (Wirel. Pers. Commun., 2019)

BloTISRT: Blockchain-based Threat Intelligence Sharing and Rating Technology. - Shen He; Jun Fu 009; Wen Jiang; Yexia Cheng; Jiake Chen; Zhihui Guo (CIAT, 2020)

FilterNet: A Neighborhood Relationship Enhanced Fully Convolutional Network for Calf Muscle Compartment Segmentation. - Zhihui Guo; Honghai Zhang; Zhi Chen 025; Ellen van der Plas; Laurie Gutmann; Daniel Thedens; Peggy Nopoulos; Milan Sonka (CoRR, 2020)

Fully automated 3D segmentation of MR-imaged calf muscle compartments: Neighborhood relationship enhanced fully convolutional network. - Zhihui Guo; Honghai Zhang; Zhi Chen 025; Ellen van der Plas; Laurie Gutmann; Daniel Thedens; Peggy Nopoulos; Milan Sonka (Comput. Medical Imaging Graph., 2021)

MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning. - Zhihui Guo; Pramod Kumar Sharma 003; Liang Du; Robin Abraham (CoRR, 2021)

Multilingual Molecular Representation Learning via Contrastive Pre-training. - Zhihui Guo; Pramod Kumar Sharma 003; Andy Martinez; Liang Du; Robin Abraham (ACL (1), 2022)

A reinforcement learning-based sleep scheduling algorithm for cooperative computing in event-driven wireless sensor networks. - Zhihui Guo; Hongbin Chen 001 (Ad Hoc Networks, 2022)

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 001; Henry A. Gabb; Denise Gosnell; Alastair Green; Zhihui Guo; Keith W. Hare; Jan Hidders; Alexandru Iosup; et al. (TPCTC, 2023)

The LDBC Financial Benchmark. - Shipeng Qi; Heng Lin; Zhihui Guo; Gábor Szárnyas; Bing Tong; Yan Zhou; Bin Yang 040; Jiansong Zhang; Zheng Wang; Youren Shen; Changyuan Wang; Parviz Peiravi; et al. (CoRR, 2023)

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs. - Wei Ju 001; Zequn Liu; Yifang Qin; Bin Feng; Chen Wang; Zhihui Guo; Xiao Luo 001; Ming Zhang 004 (Neural Networks, 2023)

Edge server placement for offloading real-time statistics tasks of bus passenger. - Haitao Xu; Zhihui Guo; Ziliang Shang; Ji Zhao 018; Hui Dai (Trans. Emerg. Telecommun. Technol., 2023)

Deep Reinforcement Learning-Based One-to-Multiple Cooperative Computing in Large-Scale Event-Driven Wireless Sensor Networks. - Zhihui Guo; Hongbin Chen 001; Shichao Li 001 (Sensors, 2023)

A lightweight and style-robust neural network for autonomous driving in end side devices. - Sheng Han 001; Youfang Lin; Zhihui Guo; Kai Lv 002 (Connect. Sci., 2023)

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. - Jinsheng Huang; Liang Chen 024; Taian Guo; Fu Zeng; Yusheng Zhao; Bohan Wu; Ye Yuan 016; Haozhe Zhao; Zhihui Guo; Yichi Zhang; Jingyang Yuan; Wei Ju 001; et al. (NAACL (Long Papers), 2025)

LISA: A Layer-wise Integration and Suppression Approach for Hallucination Mitigation in Multimodal Large Language Models. - Zhihui Guo; Xin Man; Hui Xu; Jie Shao 001 (CoRR, 2025)