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Yonghui Xu
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2020 – today
- 2025
- [j41]Yibowen Zhao, Yonghui Xu, Yong Liu, Luwei Yang, Wen Jiang, Wei Ning, Xiaofang Sun, Lizhen Cui:
Conditional Potential User Mining framework via explainable surrogate models. Expert Syst. Appl. 262: 125587 (2025) - [j40]Yiping Li
, Wei He
, Lizhen Cui
, Yonghui Xu
, Wei Guo, Zhen Feng:
A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing. Expert Syst. Appl. 267: 126203 (2025) - [j39]Yonghui Xu, Xiang Lu, Tianyu Gao, Ruotong Meng:
A Self-Supervised Multiview Contrastive Learning Network for the Fault Diagnosis of Rotating Machinery Under Limited Annotation Information. IEEE Trans. Instrum. Meas. 74: 1-13 (2025) - [j38]Zehua Sun
, Yonghui Xu
, Yong Liu
, Wei He
, Lanju Kong
, Fangzhao Wu
, Yali Jiang
, Lizhen Cui
:
A Survey on Federated Recommendation Systems. IEEE Trans. Neural Networks Learn. Syst. 36(1): 6-20 (2025) - 2024
- [j37]Liyun Zuo, Jieguang He, Yonghui Xu, Lei Zhang:
CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge-cloud collaboration. Clust. Comput. 27(2): 1541-1558 (2024) - [j36]Lei Zhang
, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu
, Lizhen Cui, Chunyan Miao:
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238(Part B): 121740 (2024) - [j35]Chang'an Yi
, Haotian Chen
, Yonghui Xu
, Yan Zhou, Juan Du, Lizhen Cui, Haishu Tan:
TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting. Expert Syst. Appl. 238(Part E): 122184 (2024) - [j34]Fanglin Zhu, Lizhen Cui, Yonghui Xu, Zhe Qu, Zhiqi Shen:
A Survey of Personalized Medicine Recommendation. Int. J. Crowd Sci. 8(2): 77-82 (2024) - [j33]Qianwen Meng
, Hangwei Qian
, Yonghui Xu
, Lizhen Cui:
Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning. Knowl. Based Syst. 299: 112014 (2024) - [j32]Fenglong Cai
, Dong Yuan, Zhe Yang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui:
FastPTM: Fast weights loading of pre-trained models for parallel inference service provisioning. Parallel Comput. 122: 103114 (2024) - [j31]Haoran Shi
, Yonghui Xu
, Yali Jiang
, Han Yu
, Lizhen Cui
:
Efficient Asynchronous Multi-Participant Vertical Federated Learning. IEEE Trans. Big Data 10(6): 940-952 (2024) - [j30]Fanglin Zhu
, Xu Zhang
, Batuo Zhang
, Yonghui Xu
, Lizhen Cui
:
Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph. IEEE J. Biomed. Health Informatics 28(4): 2294-2303 (2024) - [j29]Lei Zhang
, Yong Liu
, Zhiwei Zeng
, Yiming Cao
, Xingyu Wu
, Yonghui Xu
, Zhiqi Shen
, Lizhen Cui
:
Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network. ACM Trans. Knowl. Discov. Data 18(5): 108:1-108:19 (2024) - [c53]Haotian Chen, Yonghui Xu, Yanyu Xu, Yixin Zhang, Lizhen Cui:
Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation. BIBM 2024: 1866-1873 - [c52]Yixin Zhang
, Xin Zhou
, Fanglin Zhu
, Ning Liu
, Wei Guo
, Yonghui Xu
, Zhiqi Shen
, Lizhen Cui
:
Multi-modal Food Recommendation with Health-aware Knowledge Distillation. CIKM 2024: 3279-3289 - [c51]Yuting Li, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang:
vBoost: A Lock-free Distributed Index Based on vEB Tree for Disaggregated Memory. CLUSTER Workshops 2024: 158-159 - [c50]Xiaofang Sun, Yonghui Xu, Ning Liu, Yongqing Zheng, Lizhen Cui:
Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition. DASFAA (7) 2024: 3-18 - [c49]Yibowen Zhao, Yonghui Xu, Yixin Zhang, Wei He, Lizhen Cui:
Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation. DASFAA (6) 2024: 311-320 - [c48]Qianwen Meng, Hangwei Qian, Yonghui Xu, Lizhen Cui:
SP-Aug: Towards Efficient Semantic-Preserving Augmentations in Contrastive Learning via Hierarchical Outlier Factor. DASFAA (2) 2024: 312-321 - [c47]Xuehong Tao, YuXin Miao, Yuan Miao, Guanhua Wang, Neda Aziz, Bruce Gu, Gongqi Lin, Lizhen Cui, Yonghui Xu, Wei Guo:
Counterfactual Reasoning and Cognitive Intelligence for Rational Robots. ICARCV 2024: 25-30 - [c46]Yibowen Zhao, Yonghui Xu, Ning Liu, Yixin Zhang, Wei Guo, Xudong Lu, Lizhen Cui:
Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network. ICME 2024: 1-6 - [c45]Yu Zhang, Hua Lu, Ning Liu, Yonghui Xu, Qingzhong Li, Lizhen Cui:
Personalized Federated Learning for Cross-City Traffic Prediction. IJCAI 2024: 5526-5534 - [c44]Chang'an Yi
, Haotian Chen
, Yifan Zhang
, Yonghui Xu
, Yan Zhou
, Lizhen Cui
:
From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation? ACM Multimedia 2024: 10085-10094 - [c43]Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation Using Clustering and Self-supervised Learning. PRICAI (1) 2024: 269-281 - [i12]Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR abs/2406.18962 (2024) - 2023
- [j28]Jiancheng Zhang, Yonghui Xu, Bicui Ye, Yibowen Zhao, Xiaofang Sun, Qi Meng, Yang Zhang, Lizhen Cui:
EAPR: explainable and augmented patient representation learning for disease prediction. Health Inf. Sci. Syst. 11(1): 53 (2023) - [j27]Jia Gu, Youyang Du, Chi Zhang, Yunsen Tang, Huiguo Zhang
, Yonghui Xu, Lizhen Cui:
Music Intervention in Human Life, Work, and Disease: A Survey. Int. J. Crowd Sci. 7(3): 97-105 (2023) - [j26]Zhida Shang, Hefeng Meng, Yibowen Zhao, Ronghua Xu, Yonghui Xu, Lizhen Cui:
Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer. Int. J. Crowd Sci. 7(3): 106-112 (2023) - [j25]Chenglin Qing
, Xiu Jin
, Yonghui Xu
:
The effect of creating shared value on enterprise image: focusing on mediating effects of environmental involvement. Kybernetes 52(2): 625-642 (2023) - [j24]Shaowei Jiang
, Wei He
, Lizhen Cui
, Yonghui Xu
, Lei Liu
:
Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation. ACM Trans. Knowl. Discov. Data 17(9): 125:1-125:20 (2023) - [j23]Yong Liu
, Susen Yang
, Yonghui Xu, Chunyan Miao
, Min Wu
, Juyong Zhang
:
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. IEEE Trans. Knowl. Data Eng. 35(1): 181-195 (2023) - [j22]Chang'an Yi
, Haotian Chen
, Yonghui Xu
, Huanhuan Chen
, Yong Liu
, Haishu Tan, Yuguang Yan
, Han Yu
:
Multicomponent Adversarial Domain Adaptation: A General Framework. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6824-6838 (2023) - [j21]Fuqiang Yu
, Lizhen Cui
, Huanhuan Chen
, Yiming Cao
, Ning Liu
, Weiming Huang
, Yonghui Xu
, Hua Lu
:
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6940-6954 (2023) - [c42]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Zhen Li, Yonghui Xu:
MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation. AAAI 2023: 277-285 - [c41]Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen:
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. AAAI 2023: 9153-9161 - [c40]Yang Yi, Yuting Li
, Yun Xu, Pengcheng Wang, Yonghui Xu, Weiguang Wang:
BT-Duper: A Binomial-Tree Based Data Replication Offloading Method with Native RDMA Primitives. ISPA/BDCloud/SocialCom/SustainCom 2023: 915-922 - [c39]Qianwen Meng, Yonghui Xu, Fanglin Zhu, Lizhen Cui:
Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks. BIBM 2023: 893-898 - [c38]Xiaofang Sun, Wei He, Yonghui Xu, Yali Jiang, Xiangwei Zheng, Yongqing Zheng, Wei Guo, Lizhen Cui:
Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition. BIBM 2023: 2249-2254 - [c37]Hongyu Qiu
, Yongwei Wang, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation. IEEE Big Data 2023: 5559-5568 - [c36]Xu Zhang, Yonghui Xu, Wei He, Wei Guo, Lizhen Cui:
A Comprehensive Review of the Oversmoothing in Graph Neural Networks. ChineseCSCW (1) 2023: 451-465 - [c35]Hanlin Zhang, Yue Zhang, Wei He, Yonghui Xu, Lizhen Cui:
Towards Distributed Graph Representation Learning. ChineseCSCW (1) 2023: 547-557 - [c34]Caiyan Li, Lizhen Cui, Yonghui Xu, Ning Liu:
Logic Event Graph Enhanced Narrative Generation. CSCWD 2023: 181-186 - [c33]Zhe Qu, Lizhen Cui, Yonghui Xu:
DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. DASFAA (4) 2023: 276-285 - [c32]Yiming Cao, Lizhen Cui, Lei Zhang, Fuqiang Yu, Ziheng Cheng, Zhen Li, Yonghui Xu, Chunyan Miao:
CMT: Cross-modal Memory Transformer for Medical Image Report Generation. DASFAA (3) 2023: 415-424 - [c31]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) 2023: 606-618 - [c30]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [c29]Yixin Zhang
, Yong Liu, Hao Xiong, Yi Liu, Fuqiang Yu, Wei He, Yonghui Xu, Lizhen Cui, Chunyan Miao:
Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation. ICDE 2023: 2955-2968 - [c28]Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen:
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE 2023: 3403-3416 - [c27]Yu Zhang, Yonghui Xu, Lizhen Cui, Zhongmin Yan:
Multi-View Graph Contrastive Learning for Urban Region Representation. IJCNN 2023: 1-8 - [i11]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i10]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR abs/2302.07429 (2023) - [i9]Chang'an Yi, Haotian Chen, Yonghui Xu, Yifan Zhang:
Model-Contrastive Federated Domain Adaptation. CoRR abs/2305.10432 (2023) - [i8]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
Unsupervised Representation Learning for Time Series: A Review. CoRR abs/2308.01578 (2023) - [i7]Chang'an Yi, Haotian Chen, Yifan Zhang, Yonghui Xu, Lizhen Cui:
A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation. CoRR abs/2310.05341 (2023) - 2022
- [j20]Xuejiao Zhao, Yong Liu, Yonghui Xu, Yonghua Yang, Xusheng Luo, Chunyan Miao:
Heterogeneous star graph attention network for product attributes prediction. Adv. Eng. Informatics 51: 101447 (2022) - [j19]Tao Jiang, Fengjian Kang, Wei Guo, Wei He, Lei Liu, Xudong Lu, Yonghui Xu, Lizhen Cui:
CK-Encoder: Enhanced Language Representation for Sentence Similarity. Int. J. Crowd Sci. 6(1): 17-22 (2022) - [j18]Chang'an Yi
, Haotian Chen
, Yonghui Xu
, Yong Liu, Lei Jiang, Haishu Tan:
ATPL: Mutually enhanced adversarial training and pseudo labeling for unsupervised domain adaptation. Knowl. Based Syst. 250: 108831 (2022) - [j17]Yonghui Xu, Shengjie Sun, Huiguo Zhang
, Chang'an Yi, Yuan Miao
, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Huaqing Min, Hengjie Song, Chuanyan Miao:
Time-Aware Graph Embedding: A Temporal Smoothness and Task-Oriented Approach. ACM Trans. Knowl. Discov. Data 16(3): 56:1-56:23 (2022) - [c26]Fanglin Zhu, Shunyu Chen, Yonghui Xu, Wei He, Fuqiang Yu, Xu Zhang, Lizhen Cui:
Temporal Hypergraph for Personalized Clinical Pathway Recommendation. BIBM 2022: 718-725 - [c25]Yiming Cao, Lizhen Cui, Lei Zhang
, Fuqiang Yu, Zhen Li, Yonghui Xu, Chunyan Miao:
KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis. BIBM 2022: 1457-1460 - [c24]Fuqiang Yu, Lizhen Cui, Yiming Cao, Fanglin Zhu, Yonghui Xu, Ning Liu:
Feature-Guided Logical Perception Network for Health Risk Prediction. BIBM 2022: 1787-1790 - [c23]Zhe Qu, Lizhen Cui, Yonghui Xu:
Disease Risk Prediction via Heterogeneous Graph Attention Networks. BIBM 2022: 3385-3390 - [c22]Yue Huang, Yonghui Xu, Lanju Kong, Qingzhong Li, Lizhen Cui:
Towards Heterogeneous Federated Learning. ChineseCSCW (1) 2022: 390-404 - [c21]Xiao Yang, Ning Liu, Jianbo Qiao, Haitao Yuan, Teng Ma
, Yonghui Xu, Lizhen Cui:
Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction. CICAI (2) 2022: 438-449 - [c20]Jun Lin
, Yonghui Xu, Wei Guo, Lizhen Cui, Chunyan Miao:
XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse. CICAI (3) 2022: 559-563 - [c19]Yiming Cao, Lizhen Cui, Fuqiang Yu, Lei Zhang, Zhen Li, Ning Liu, Yonghui Xu:
KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer. DASFAA (3) 2022: 117-132 - [c18]Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui:
SAER: Sentiment-Opinion Alignment Explainable Recommendation. DASFAA (2) 2022: 315-322 - [c17]Fuqiang Yu, Lizhen Cui, Yiming Cao, Ning Liu, Weiming Huang, Yonghui Xu:
Similarity-Aware Collaborative Learning for Patient Outcome Prediction. DASFAA (2) 2022: 407-422 - [c16]Zhaoming Li
, Wei He
, Ning Liu
, Yonghui Xu
, Lizhen Cui
, Kaiyuan Qi:
Balancing Supply and Demand for Mobile Crowdsourcing Services. ICSOC 2022: 285-299 - [c15]Yixin Zhang
, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. IJCAI 2022: 2398-2405 - [i6]Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao:
Enhancing Sequential Recommendation with Graph Contrastive Learning. CoRR abs/2205.14837 (2022) - [i5]Qianwen Meng, Hangwei Qian, Yong Liu, Yonghui Xu, Zhiqi Shen, Lizhen Cui:
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series. CoRR abs/2212.01141 (2022) - [i4]Shipeng Wang
, Qingzhong Li, Lizhen Cui, Zhongmin Yan, Yonghui Xu, Zhuan Shi, Zhiqi Shen, Han Yu:
Towards AI-Empowered Crowdsourcing. CoRR abs/2212.14676 (2022) - 2021
- [j16]Bo Xu, Feng Zhou, Yonghui Xu, Haoran Xu, Kewen Xu:
Improved NSGA-II for the minimum constraint removal problem. Int. J. Embed. Syst. 14(1): 27-35 (2021) - [j15]Bo Liu, Yong Liu
, Huiyan Zhang, Yonghui Xu, Can Tang, Lianggui Tang, Huafeng Qin, Chunyan Miao:
Adaptive Power Iteration Clustering. Knowl. Based Syst. 225: 107118 (2021) - [j14]Cristina Olmedilla
, Jesús Escudero-Sahuquillo
, Pedro Javier García, Francisco J. Alfaro-Cortés, José L. Sánchez
, Francisco J. Quiles
, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato
:
DVL-Lossy: Isolating Congesting Flows to Optimize Packet Dropping in Lossy Data-Center Networks. IEEE Micro 41(1): 37-44 (2021) - [j13]Yonghui Xu, Ruotong Meng, Xi Zhao:
Research on a Gas Concentration Prediction Algorithm Based on Stacking. Sensors 21(5): 1597 (2021) - [c14]Honglu Zhang, Yonghui Xu, Lei Liu, Xudong Lu, Xijie Lin, Zhongmin Yan, Lizhen Cui, Chunyan Miao:
Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting. BIBM 2021: 779-784 - [c13]Xijie Lin, Yuan Li, Yonghui Xu, Wei Guo, Wei He, Honglu Zhang, Lizhen Cui, Chunyan Miao:
Personalized Clinical Pathway Recommendation via Attention Based Pre-training. BIBM 2021: 980-987 - [c12]Kexin Liu, Chen Tian, Qingyue Wang, Hao Zheng, Peiwen Yu, Wenhao Sun, Yonghui Xu, Ke Meng, Lei Han, Jie Fu, Wanchun Dou, Guihai Chen
:
Floodgate: taming incast in datacenter networks. CoNEXT 2021: 30-44 - [c11]Ronghua Xu, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui, Jun Lin
:
Credit Default Prediction via Explainable Ensemble Learning. ICCSE 2021: 81-87 - [c10]Huiguo Zhang
, Yonghui Xu, Jun Lin
, Weiming Li, Zhiqi Shen:
A Serious Mobile Game for Neurodegenerative Diseases Rehabilitation and Risk Estimation. ICCSE 2021: 103-107 - [c9]Youyang Du, Chi Zhang, Escoffier Wang, Yunsen Tang, Yonghui Xu, Lizhen Cui:
Music Rhythm Matching Based on Dynamic Step Frequency. ICCSE 2021: 113-118 - [c8]Jiancheng Zhang, Xiao Yang, Hefeng Meng, Zhiqiang Lin, Yonghui Xu, Lizhen Cui:
A Survey on Knowledge Enhanced EHR Data Mining. ICCSE 2021: 124-131 - [c7]Hefeng Meng, Zhiqiang Lin, Fan Yang, Yonghui Xu, Lizhen Cui:
Knowledge Distillation In Medical Data Mining: A Survey. ICCSE 2021: 175-182 - [i3]Xiaofang Sun, Xiangwei Zheng, Yonghui Xu, Lizhen Cui, Bin Hu:
Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks. CoRR abs/2111.01351 (2021) - 2020
- [j12]Yonghui Xu
, Zixuan Yang, Yuqi Liu
, Shouda Jiang:
Accelerate Convergence of Polarized Random Fourier Feature-Based Kernel Adaptive Filtering With Variable Forgetting Factor and Step Size. IEEE Access 8: 126887-126895 (2020) - [j11]Yonghui Xu, Chunyan Miao, Yong Liu
, Hengjie Song, Yi Hu, Huaqing Min:
Kernel-target alignment based non-linear metric learning. Neurocomputing 411: 54-66 (2020) - [j10]Chang'an Yi, Yonghui Xu, Han Yu
, Yuguang Yan, Yang Liu:
Multi-component transfer metric learning for handling unrelated source domain samples. Knowl. Based Syst. 203: 106132 (2020) - [c6]Cristina Olmedilla
, Jesús Escudero-Sahuquillo
, Pedro Javier García, Francisco J. Alfaro-Cortés, Francisco J. Quiles
, José L. Sánchez
, Wenhao Sun, Xiang Yu, Yonghui Xu, José Duato
:
Optimizing Packet Dropping by Efficient Congesting-Flow Isolation in Lossy Data-Center Networks. Hot Interconnects 2020: 47-54 - [c5]Haobo Wang
, Hang Hu, Xinyu Da, Lei Ni, Yu Pan, Yonghui Xu:
Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation. WCSP 2020: 424-429 - [i2]Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR abs/2004.11529 (2020) - [i1]Yonghui Xu, Shengjie Sun, Yuan Miao, Dong Yang, Xiaonan Meng, Yi Hu, Ke Wang, Hengjie Song, Chuanyan Miao:
Time-aware Graph Embedding: A temporal smoothness and task-oriented approach. CoRR abs/2007.11164 (2020)
2010 – 2019
- 2019
- [j9]Siyu Jiang
, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu
, Han Yu
, Hengjie Song
:
Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence. IEEE Access 7: 10362-10373 (2019) - [j8]Yuqi Liu
, Yonghui Xu, Jingli Yang, Shouda Jiang:
A Polarized Random Fourier Feature Kernel Least-Mean-Square Algorithm. IEEE Access 7: 50833-50838 (2019) - [c4]Jie Wei Kong, Yonghui Xu, Han Yu
:
Deep Transfer Learning For Abnormality Detection. ICCSE 2019: 233-237 - 2018
- [j7]Siyu Jiang
, Yonghui Xu
, Hengjie Song, Qingyao Wu, Michael K. Ng, Huaqing Min, Shaojian Qiu
:
Multi-instance transfer metric learning by weighted distribution and consistent maximum likelihood estimation. Neurocomputing 321: 49-60 (2018) - [j6]Yonghui Xu, Xi Zhao, Yinsheng Chen
, Wenjie Zhao:
Research on a Mixed Gas Recognition and Concentration Detection Algorithm Based on a Metal Oxide Semiconductor Olfactory System Sensor Array. Sensors 18(10): 3264 (2018) - [c3]Chang'an Yi, Yonghui Xu, Bo Xu, Jingtang Zhong, Zhen Zhu, Pengshuai Yin, Huaqing Min:
A Novel Transfer Metric Learning Approach Based on Multi-Group. ROBIO 2018: 2184-2189 - 2017
- [j5]Yonghui Xu, Sinno Jialin Pan
, Hui Xiong, Qingyao Wu, Ronghua Luo, Huaqing Min, Hengjie Song:
A Unified Framework for Metric Transfer Learning. IEEE Trans. Knowl. Data Eng. 29(6): 1158-1171 (2017) - [j4]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao
:
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Trans. Knowl. Data Eng. 29(7): 1494-1507 (2017) - [c2]Yinsheng Chen
, Xiaodong Liu, Jingli Yang, Yonghui Xu:
A gas concentration estimation method based on multivariate relevance vector machine using MOS gas sensor arrays. I2MTC 2017: 1-5 - 2016
- [j3]Yonghui Xu, Huaqing Min, Hengjie Song, Qingyao Wu:
Multi-instance multi-label distance metric learning for genome-wide protein function prediction. Comput. Biol. Chem. 63: 30-40 (2016) - [j2]Yinsheng Chen
, Jingli Yang, Yonghui Xu, Shouda Jiang, Xiaodong Liu, Qi Wang:
Status Self-Validation of Sensor Arrays Using Gray Forecasting Model and Bootstrap Method. IEEE Trans. Instrum. Meas. 65(7): 1626-1640 (2016) - [j1]Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei
, Jianshu Weng
, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao
, Toyoaki Nishida:
Individual Judgments Versus Consensus: Estimating Query-URL Relevance. ACM Trans. Web 10(1): 3:1-3:21 (2016)