Zhengui Xue

According to our database, Zhengui Xue authored at least 32 papers between 2007 and 2023.

Collaborative distances:

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

2023

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation.

Yuxin Ma, Shuo Wang, Yang Hua, Ruhui Ma, Tao Song, Zhengui Xue, Heng Cao, Haibing Guan

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

PFLlib: Personalized Federated Learning Algorithm Library.

Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao

CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.

Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

CoRR, 2023

Eliminating Domain Bias for Federated Learning in Representation Space.

Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the International Conference on Machine Learning, 2023

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion.

Rui Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the IEEE International Conference on Acoustics, 2023

Information Bound and Its Applications in Bayesian Neural Networks.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

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

FedALA: Adaptive Local Aggregation for Personalized Federated Learning.

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks.

Zongpu Zhang, Tao Song, Liwei Lin, Yang Hua, Xufeng He, Zhengui Xue, Ruhui Ma, Haibing Guan

IEEE Trans. Big Data, 2022

Improving Bayesian Neural Networks by Adversarial Sampling.

Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data.

Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan

Trans. Data Sci., 2021

Themis: A Fair Evaluation Platform for Computer Vision Competitions.

Zinuo Cai, Jianyong Yuan, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ningxin Hu, Jonathan Ding, Ruhui Ma, Mohammad Reza Haghighat, Haibing Guan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self-Supervised Vessel Segmentation via Adversarial Learning.

Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking.

Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the IEEE International Conference on Acoustics, 2021

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization.

Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Siren: Byzantine-robust Federated Learning via Proactive Alarming.

Hanxi Guo, Hao Wang, Tao Song, Yang Hua, Zhangcheng Lv, Xiulang Jin, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Positional Mask Attention for Video Sequence Modeling.

Jiaxuan Wang, Chaoyi Wang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020

Quantifying consensus of rankings based on <i>q</i>-support patterns.

Zhengui Xue, Zhiwei Lin, Hui Wang, Sally I. McClean

Inf. Sci., 2020

VTT: Long-term Visual Tracking with Transformers.

Tianling Bian, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Reinforcing Neural Network Stability with Attractor Dynamics.

Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Quantifying consensus of rankings based on q-support patterns.

Zhengui Xue, Zhiwei Lin, Hui Wang, Sally I. McClean

CoRR, 2019

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks.

Xufeng He, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Object Guided External Memory Network for Video Object Detection.

Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos.

Zongpu Zhang, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Martin Robertson, Haibing Guan

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

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images.

Shuo Wang, Yang Hua, Yunyun Cao, Tao Song, Zhengui Xue, Xiaoping Gong, Guanjie Wang, Ruhui Ma, Haibing Guan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2013

Identification of Unknown Parameters for a Class of Two-Level Quantum Systems.

Zhengui Xue, Hai Lin, Tong Heng Lee

IEEE Trans. Autom. Control., 2013

2012

Switching control of closed quantum systems via the Lyapunov method.

Shouwei Zhao, Hai Lin, Zhengui Xue

Autom., 2012

2011

Identification and control of a two-level open quantum system.

Zhengui Xue, Hai Lin, Tong Heng Lee

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009

Implicit Lyapunov control of closed quantum systems.

Shouwei Zhao, Hai Lin, Jitao Sun, Zhengui Xue

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2007

Deterministic learning and robot manipulator control.

Zhengui Xue, Cong Wang, Tengfei Liu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2007