Zhendong Zhao

According to our database, Zhendong Zhao authored at least 33 papers between 2007 and 2024.

Collaborative distances:

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

2024

Research on Signal Noise Reduction and Leakage Localization in Urban Water Supply Pipelines Based on Northern Goshawk Optimization.

Xin Chen, Zhu Jiang, Jiale Li, Zhendong Zhao, Yunyun Cao

Sensors, September, 2024

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling.

Xin Zhao, Xiaojun Chen, Xudong Chen, He Li, Tingyu Fan, Zhendong Zhao

CoRR, 2024

Federated Learning with Limited Node Labels.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

CoRR, 2024

STMS: An Out-Of-Distribution Model Stealing Method Based on Causality.

Yunfei Yang, Xiaojun Chen, Zhendong Zhao, Yuexin Xuan, Bisheng Tang, Xiaoying Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Graph Federated Learning with Center Moment Constraints for Node Classification.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

DualCOS: Query-Efficient Data-Free Model Stealing with Dual Clone Networks and Optimal Samples.

Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CipherDM: Secure Three-Party Inference for Diffusion Model Sampling.

Xin Zhao, Xiaojun Chen, Xudong Chen, He Li, Tingyu Fan, Zhendong Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

KMIC: A Knowledge-Aware Recommendation with Multivariate Intentions Contrastive Learning.

Yingtao Peng, Tangpeng Dan, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Generalized heterophily graph data augmentation for node classification.

Bisheng Tang, Xiaojun Chen, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Neural Networks, November, 2023

Gait Phase Recognition for Soft Exoskeleton Assistance Based on Inertial Sensors.

Yong Liu, Jiaxin Wang, Zhendong Zhao, Lei Liu, Huanyu Deng, Shijie Guo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Estimation of Hip Joint Torque By Using Parallel Fusion Neural Dynamics Model.

Lei Liu, Jiaxin Wang, Qian Xiang, Zhendong Zhao, Yong Liu, Shijie Guo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Practical and General Backdoor Attacks Against Vertical Federated Learning.

Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Bisheng Tang, Ye Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Design and Implementation of a Digital Campus on a Private Cloud Platform.

Jingfeng Liu, Zhendong Zhao

Proceedings of the 2023 3rd International Conference on Big Data, 2023

Unsupervised Graph Structure-Assisted Personalized Federated Learning.

Xiaoying Li, Xiaojun Chen, Bisheng Tang, Shaopu Wang, Yuexin Xuan, Zhendong Zhao

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning.

Yingtao Peng, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng

Proceedings of the Database Systems for Advanced Applications, 2023

2022

ACTSS: Input Detection Defense against Backdoor Attacks via Activation Subset Scanning.

Yuexin Xuan, Xiaojun Chen, Zhendong Zhao, Yangyang Ding, Jianming Lv

Proceedings of the International Joint Conference on Neural Networks, 2022

Rethinking the Feature Iteration Process of Graph Convolution Networks.

Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks.

Bisheng Tang, Xiaojun Chen, Dakui Wang, Zhendong Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints.

Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Robust node embedding against graph structural perturbations.

Zhendong Zhao, Xiaojun Chen, Dakui Wang, Yuexin Xuan, Gang Xiong

Inf. Sci., 2021

A Novel Privacy-Preserving Neural Network Computing Approach for E-Health Information System.

Yingying Yao, Zhendong Zhao, Xiaolin Chang, Jelena V. Misic, Vojislav B. Misic, Jianhua Wang

Proceedings of the ICC 2021, 2021

2019

Optimal Bayesian maintenance policy for a gearbox subject to two dependent failure modes.

Xin Li, Viliam Makis, Zhendong Zhao, Hongfu Zuo, Chaoqun Duan, Yuanyuan Zhang

Qual. Reliab. Eng. Int., 2019

2018

The Research on Charge and Discharge Characteristics with Single Li-NiCoMn Lithium-Ion Battery.

Sujuan Chen, Zhendong Zhao, Xinyan Gu

Proceedings of the Information Technology and Intelligent Transportation Systems - Proceedings of the 3rd International Conference on Information Technology and Intelligent Transportation Systems (ITITS 2018), 2018

2015

A generative Bayesian model to identify cancer driver genes.

Christopher Ma, Zhendong Zhao, Tina Gui, Yixin Chen, Xin Dang, Dawn Wilkins

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

A Computationally Efficient Algorithm for Learning Topical Collocation Models.

Zhendong Zhao, Lan Du, Benjamin Börschinger, John K. Pate, Massimiliano Ciaramita, Mark Steedman, Mark Johnson

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Drug activity prediction using multiple-instance learning via joint instance and feature selection.

Zhendong Zhao, Gang Fu, Sheng Liu, Khaled M. Elokely, Robert J. Doerksen, Yixin Chen, Dawn Wilkins

BMC Bioinform., 2013

2012

A Split-Merge Framework for Comparing Clusterings.

Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Sensor-Assisted Video Encoding for Mobile Devices in Real-World Environments.

Xiaoming Chen, Zhendong Zhao, Ahmad Rahmati, Ye Wang, Lin Zhong

IEEE Trans. Circuits Syst. Video Technol., 2011

2010

Large-scale music tag recommendation with explicit multiple attributes.

Zhendong Zhao, Xinxi Wang, Qiaoliang Xiang, Andy M. Sarroff, Zhonghua Li, Ye Wang

Proceedings of the 18th International Conference on Multimedia 2010, 2010

A comparison of a graph database and a relational database: a data provenance perspective.

Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins

Proceedings of the 48th Annual Southeast Regional Conference, 2010

2009

SaVE: sensor-assisted motion estimation for efficient h.264/AVC video encoding.

Xiaoming Chen, Zhendong Zhao, Ahmad Rahmati, Ye Wang, Lin Zhong

Proceedings of the 17th International Conference on Multimedia 2009, 2009

2007

A Novel Model of Working Set Selection for SMO Decomposition Methods

Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shunyi Zhang Yanfei Sun

CoRR, 2007

A Novel Model of Working Set Selection for SMO Decomposition Methods.

Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shun-Yi Zhang, Yan-Fei Sun

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007