Deterministic learning and robot manipulator control. - Zhengui Xue; Cong Wang 007; Tengfei Liu (ROBIO, 2007)

Implicit Lyapunov control of closed quantum systems. - Shouwei Zhao; Hai Lin 002; Jitao Sun; Zhengui Xue (CDC, 2009)

Identification and control of a two-level open quantum system. - Zhengui Xue; Hai Lin 002; Tong Heng Lee (CDC/ECC, 2011)

Switching control of closed quantum systems via the Lyapunov method. - Shouwei Zhao; Hai Lin 002; Zhengui Xue (Autom., 2012)

Identification of Unknown Parameters for a Class of Two-Level Quantum Systems. - Zhengui Xue; Hai Lin 002; Tong Heng Lee (IEEE Trans. Autom. Control., 2013)

Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. - Shuo Wang 008; Yang Hua 001; Yunyun Cao; Tao Song 003; Zhengui Xue; Xiaoping Gong; Guanjie Wang; Ruhui Ma; Haibing Guan (BIBM, 2018)

Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. - Zongpu Zhang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2018)

Object Guided External Memory Network for Video Object Detection. - Hanming Deng; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ICCV, 2019)

Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. - Xufeng He; Yang Hua 001; Tao Song 003; Zongpu Zhang; Zhengui Xue; Ruhui Ma; Neil Martin Robertson; Haibing Guan (ACM Multimedia, 2019)

Quantifying consensus of rankings based on q-support patterns. - Zhengui Xue; Zhiwei Lin 002; Hui Wang 001; Sally I. McClean (CoRR, 2019)

Reinforcing Neural Network Stability with Attractor Dynamics. - Hanming Deng; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (AAAI, 2020)

VTT: Long-term Visual Tracking with Transformers. - Tianling Bian; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (ICPR, 2020)

Quantifying consensus of rankings based on q-support patterns. - Zhengui Xue; Zhiwei Lin 002; Hui Wang 001; Sally I. McClean (Inf. Sci., 2020)

Positional Mask Attention for Video Sequence Modeling. - Jiaxuan Wang; Chaoyi Wang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (CISP-BMEI, 2021)

Siren: Byzantine-robust Federated Learning via Proactive Alarming. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Zhangcheng Lv; Xiulang Jin; Zhengui Xue; Ruhui Ma; Haibing Guan (SoCC, 2021)

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. - Jiaru Zhang; Yang Hua 001; Zhengui Xue; Tao Song 003; Chengyu Zheng; Ruhui Ma; Haibing Guan (CVPR, 2021)

Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. - Chaoyi Wang; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Neil Robertson 002; Haibing Guan (ICASSP, 2021)

Self-Supervised Vessel Segmentation via Adversarial Learning. - Yuxin Ma; Yang Hua 001; Hanming Deng; Tao Song 003; Hao Wang 022; Zhengui Xue; Heng Cao; Ruhui Ma; Haibing Guan (ICCV, 2021)

Themis: A Fair Evaluation Platform for Computer Vision Competitions. - Zinuo Cai; Jianyong Yuan; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ningxin Hu; Jonathan Ding; Ruhui Ma; Mohammad Reza Haghighat; Haibing Guan (IJCAI, 2021)

Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. - Jiaru Zhang; Ruhui Ma; Tao Song 003; Yang Hua 001; Zhengui Xue; Chenyang Guan; Haibing Guan (Trans. Data Sci., 2021)

Improving Bayesian Neural Networks by Adversarial Sampling. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2022)

Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. - Zongpu Zhang; Tao Song 003; Liwei Lin; Yang Hua 001; Xufeng He; Zhengui Xue; Ruhui Ma; Haibing Guan (IEEE Trans. Big Data, 2022)

FedALA: Adaptive Local Aggregation for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (AAAI, 2023)

Information Bound and Its Applications in Bayesian Neural Networks. - Jiaru Zhang; Yang Hua 001; Tao Song 003; Hao Wang 022; Zhengui Xue; Ruhui Ma; Haibing Guan (ECAI, 2023)

Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. - Rui Zhang 087; Yang Hua 001; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (ICASSP, 2023)

GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao; Haibing Guan (ICCV, 2023)

Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. - Chumeng Liang; Xiaoyu Wu; Yang Hua 001; Jiaru Zhang; Yiming Xue; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (ICML, 2023)

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. - Jianqing Zhang; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (KDD, 2023)

Eliminating Domain Bias for Federated Learning in Representation Space. - Jianqing Zhang; Yang Hua 001; Jian Cao; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Haibing Guan (NeurIPS, 2023)

PFLlib: Personalized Federated Learning Algorithm Library. - Jianqing Zhang; Yang Liu 165; Yang Hua 001; Hao Wang 022; Tao Song 003; Zhengui Xue; Ruhui Ma; Jian Cao (CoRR, 2023)

Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. - Yuxin Ma; Shuo Wang 008; Yang Hua 001; Ruhui Ma; Tao Song 003; Zhengui Xue; Heng Cao; Haibing Guan (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. - Hanxi Guo; Hao Wang 022; Tao Song 003; Yang Hua 001; Ruhui Ma; Xiulang Jin; Zhengui Xue; Haibing Guan (IEEE Trans. Dependable Secur. Comput., 2024)