Jidong Zhao

According to our database, Jidong Zhao authored at least 26 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FEM-Informed Hypergraph Neural Networks for Efficient Elastoplasticity.

Jianchuan Yang, Xi Chen, Jidong Zhao

CoRR, February, 2026

A Virtual Heat Flux Method for Simple and Accurate Neumann Thermal Boundary Imposition in the Material Point Method.

Jidu Yu, Jidong Zhao

CoRR, January, 2026

Angular-momentum enhanced non-hourglass formulation for SPH solid dynamics.

Shuaihao Zhang, Jidong Zhao, Hong-Hu Zhu, Xiangyu Hu

J. Comput. Phys., 2026

Hybrid resolved-unresolved CFD-DEM framework for multiscale fluid-particle systems with irregular-shaped and polydisperse particles.

Zhengshou Lai, Shuai Huang, Yong Kong, Shiwei Zhao, Jidong Zhao, Linchong Huang

J. Comput. Phys., 2026

GPU-optimized adaptive mesh refinement for scalable two-phase resolved CFD-DEM simulations on unstructured hexahedral grids.

Tao Yu, Jidong Zhao

Comput. Phys. Commun., 2026

GeoDualSPHysics: a high-performance SPH solver for large deformation modelling of geomaterials with two-way coupling to multi-body systems.

Ruofeng Feng, Jidong Zhao, Georgios Fourtakas, Benedict D. Rogers

Comput. Phys. Commun., 2026

2025

Single-image 3D particle reconstruction via generative AI-empowered large vision models.

Zizun Zhu, Tongming Qu, Jidong Zhao

Comput. Aided Civ. Infrastructure Eng., 2025

2021

Adaptive Component Embedding for Domain Adaptation.

Mengmeng Jing, Jidong Zhao, Jingjing Li, Lei Zhu, Yang Yang, Heng Tao Shen

IEEE Trans. Cybern., 2021

<i>SudoDEM</i>: Unleashing the predictive power of the discrete element method on simulation for non-spherical granular particles.

Shiwei Zhao, Jidong Zhao

Comput. Phys. Commun., 2021

2018

I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification.

Jingjing Li, Lei Zhu, Zi Huang, Ke Lu, Jidong Zhao

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.

Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Low-Rank Discriminant Embedding for Multiview Learning.

Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu

IEEE Trans. Cybern., 2017

2016

Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification.

Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu

Neurocomputing, 2016

Joint Feature Selection and Structure Preservation for Domain Adaptation.

Jingjing Li, Jidong Zhao, Ke Lu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Scheduling with Collaborative Mobile Chargers Inter-WSNs.

Jidong Zhao, Xili Dai, Xiaomin Wang

Int. J. Distributed Sens. Networks, 2015

Robust Visual Tracking Using Sparse Discriminative Graph Embedding.

Jidong Zhao, Jingjing Li, Ke Lu

IEICE Trans. Inf. Syst., 2015

2012

Locally connected graph embedding for semisupervised image classification.

Ke Lu, Zhengming Ding, Jidong Zhao

J. Electronic Imaging, 2012

Do Not Stuck at Corners: A Data Delivery Algorithm at Corners in Vehicular Sensor Networks.

Jidong Zhao, Xing Zhang

Int. J. Distributed Sens. Networks, 2012

You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones.

Xing Zhang, Jidong Zhao, Jinchuan Tang, Bang Liu

Int. J. Distributed Sens. Networks, 2012

2011

Hessian optimal design for image retrieval.

Ke Lu, Jidong Zhao, Yue Wu

Pattern Recognit., 2011

Neighborhood preserving regression for image retrieval.

Ke Lu, Jidong Zhao

Neurocomputing, 2011

2008

Locality sensitive semi-supervised feature selection.

Jidong Zhao, Ke Lu, Xiaofei He

Neurocomputing, 2008

2006

An algorithm for semi-supervised learning in image retrieval.

Ke Lu, Jidong Zhao, Deng Cai

Pattern Recognit., 2006

Semi-supervised Support Vector Learning for Face Recognition.

Ke Lu, Xiaofei He, Jidong Zhao

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005

Semi-supervised Learning for Image Retrieval Using Support Vector Machines.

Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004

Micro-communication Element System.

Zheng Peng, Jiazhi Zeng, Zhang Ming, Jidong Zhao

Proceedings of the Parallel and Distributed Computing: Applications and Technologies, 2004