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Zhengui Xue
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2020 – today
- 2024
- [j7]Hanxi Guo
, Hao Wang
Siren$^+$+: Robust Federated Learning With Proactive Alarming and Differential Privacy. IEEE Trans. Dependable Secur. Comput. 21(5): 4843-4860 (2024) - 2023
- [j6]Yuxin Ma
Perceptual Data Augmentation for Biomedical Coronary Vessel Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2494-2505 (2023) - [c23]Jianqing Zhang, Yang Hua
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. AAAI 2023: 11237-11244 - [c22]Jiaru Zhang, Yang Hua
Information Bound and Its Applications in Bayesian Neural Networks. ECAI 2023: 3010-3017 - [c21]Rui Zhang
Online Residual-Based Key Frame Sampling with Self-Coach Mechanism and Adaptive Multi-Level Feature Fusion. ICASSP 2023: 1-5 - [c20]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. ICCV 2023: 5018-5028 - [c19]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. ICML 2023: 20763-20786 - [c18]Jianqing Zhang
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. KDD 2023: 3249-3261 - [c17]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. NeurIPS 2023 - [i7]Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples. CoRR abs/2302.04578 (2023) - [i6]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy. CoRR abs/2307.01217 (2023) - [i5]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan:
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. CoRR abs/2308.10279 (2023) - [i4]Jianqing Zhang, Yang Hua, Jian Cao, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
Eliminating Domain Bias for Federated Learning in Representation Space. CoRR abs/2311.14975 (2023) - [i3]Jianqing Zhang, Yang Liu, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao:
PFLlib: Personalized Federated Learning Algorithm Library. CoRR abs/2312.04992 (2023) - 2022
- [j5]Zongpu Zhang
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks. IEEE Trans. Big Data 8(3): 644-657 (2022) - [c16]Jiaru Zhang, Yang Hua
Improving Bayesian Neural Networks by Adversarial Sampling. AAAI 2022: 10110-10117 - [i2]Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan:
FedALA: Adaptive Local Aggregation for Personalized Federated Learning. CoRR abs/2212.01197 (2022) - 2021
- [j4]Jiaru Zhang, Ruhui Ma, Tao Song, Yang Hua, Zhengui Xue, Chenyang Guan, Haibing Guan:
Hierarchical Satellite System Graph for Approximate Nearest Neighbor Search on Big Data. Trans. Data Sci. 2(4): 32:1-32:15 (2021) - [c15]Jiaxuan Wang, Chaoyi Wang, Yang Hua
Positional Mask Attention for Video Sequence Modeling. CISP-BMEI 2021: 1-5 - [c14]Hanxi Guo
Siren: Byzantine-robust Federated Learning via Proactive Alarming. SoCC 2021: 47-60 - [c13]Jiaru Zhang, Yang Hua
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. CVPR 2021: 3815-3824 - [c12]Chaoyi Wang, Yang Hua
Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking. ICASSP 2021: 2205-2209 - [c11]Yuxin Ma, Yang Hua
Self-Supervised Vessel Segmentation via Adversarial Learning. ICCV 2021: 7516-7525 - [c10]Zinuo Cai
Themis: A Fair Evaluation Platform for Computer Vision Competitions. IJCAI 2021: 599-605 - 2020
- [j3]Zhengui Xue
Quantifying consensus of rankings based on q-support patterns. Inf. Sci. 518: 396-412 (2020) - [c9]Hanming Deng, Yang Hua, Tao Song, Zhengui Xue, Ruhui Ma, Neil Robertson, Haibing Guan:
Reinforcing Neural Network Stability with Attractor Dynamics. AAAI 2020: 3765-3772 - [c8]Tianling Bian, Yang Hua, Tao Song
VTT: Long-term Visual Tracking with Transformers. ICPR 2020: 9585-9592
2010 – 2019
- 2019
- [c7]Hanming Deng, Yang Hua
Object Guided External Memory Network for Video Object Detection. ICCV 2019: 6677-6686 - [c6]Xufeng He, Yang Hua
Unsupervised Video Summarization with Attentive Conditional Generative Adversarial Networks. ACM Multimedia 2019: 2296-2304 - [i1]Zhengui Xue, Zhiwei Lin, Hui Wang, Sally I. McClean:
Quantifying consensus of rankings based on q-support patterns. CoRR abs/1905.12966 (2019) - 2018
- [c5]Shuo Wang, Yang Hua
Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images. BIBM 2018: 532-539 - [c4]Zongpu Zhang, Yang Hua
Tracking-assisted Weakly Supervised Online Visual Object Segmentation in Unconstrained Videos. ACM Multimedia 2018: 941-949 - 2013
- [j2]Zhengui Xue, Hai Lin, Tong Heng Lee:
Identification of Unknown Parameters for a Class of Two-Level Quantum Systems. IEEE Trans. Autom. Control. 58(7): 1805-1810 (2013) - 2012
- [j1]Shouwei Zhao, Hai Lin, Zhengui Xue:
Switching control of closed quantum systems via the Lyapunov method. Autom. 48(8): 1833-1838 (2012) - 2011
- [c3]Zhengui Xue, Hai Lin, Tong Heng Lee:
Identification and control of a two-level open quantum system. CDC/ECC 2011: 6254-6259
2000 – 2009
- 2009
- [c2]Shouwei Zhao, Hai Lin, Jitao Sun, Zhengui Xue:
Implicit Lyapunov control of closed quantum systems. CDC 2009: 3811-3815 - 2007
- [c1]Zhengui Xue, Cong Wang, Tengfei Liu:
Deterministic learning and robot manipulator control. ROBIO 2007: 1989-1994
Coauthor Index
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