Shuo Yu

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 112

Top Venues

CoRR

IEEE Trans. Comput. Soc. Syst.

JCDL

Comput. Sci. Rev.

Publications

Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia
From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. IEEE Intell. Syst. 39 (2) (2024)
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. CoRR (2024)
Xiao-Ce Dai, Yi Yu, Si-Yu Zhou, Shuo Yu, Mei-Xiang Xiang, Hong Ma
Assessment of the causal relationship between gut microbiota and cardiovascular diseases: a bidirectional Mendelian randomization analysis. BioData Min. 17 (1) (2024)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor
Deep Outdated Fact Detection in Knowledge Graphs. CoRR (2024)
Erkang Jing, Yezheng Liu, Yidong Chai, Shuo Yu, Longshun Liu, Yuanchun Jiang, Yang Wang
Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network. CoRR (2024)
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR (2024)
Yuting Ma, Shuo Yu, Yanming Shen
Pretraining Molecules with Explicit Substructure Information. SDM (2024)
Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor
Graph Transformers: A Survey. CoRR (2024)
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
Higher-order Structure Based Anomaly Detection on Attributed Networks. CoRR (2024)
Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia
Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach. IEEE Trans. Consumer Electron. 70 (1) (2024)
Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR (2024)
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) (2024)
Fulai Cui, Shuo Yu, Yidong Chai, Yang Qian, Yuanchun Jiang, Yezheng Liu, Xiao Liu, Jianxin Li
A Bayesian deep recommender system for uncertainty-aware online physician recommendation. Inf. Manag. 61 (7) (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR (2024)
Lei Liu, Shuo Yu, Runze Wang, Zhenxun Ma, Yanming Shen
How Can Large Language Models Understand Spatial-Temporal Data? CoRR (2024)
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
Collaborative Team Recognition: A Core Plus Extension Structure. CoRR (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
FairGT: A Fairness-aware Graph Transformer. CoRR (2024)
Shaoyuan Chen, Linlin You, Rui Liu, Shuo Yu, Ahmed M. Abdelmoniem
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients. CoRR (2024)
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. IEEE Internet Things J. 11 (6) (2024)
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. KDD (2024)
Shuo Yu, Yidong Chai, Sagar Samtani, Hongyan Liu, Hsinchun Chen
Motion Sensor-Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network Approach. Inf. Syst. Res. 35 (1) (2024)
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. IEEE Trans. Emerg. Top. Comput. 12 (1) (2024)
Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock
Quantum Graph Learning: Frontiers and Outlook. CoRR (2023)
Zhikui Chen, Muhammad Zeeshan Haider, Naiwen Luo, Shuo Yu, Xu Yuan, Yaochen Zhang, Tayyaba Noreen
Reputation-based partition scheme for IoT security. Secur. Priv. 6 (3) (2023)
Shuo Yu, Sihan He, Zhen Cai, Ivan Lee, Mehdi Naseriparsa, Feng Xia
Exploring Public Sentiment During COVID-19: A Cross Country Analysis. IEEE Trans. Comput. Soc. Syst. 10 (3) (2023)
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. CoRR (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR (2023)
Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng
Spatio-temporal Graph Learning for Epidemic Prediction. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Guang-Yu Cheng, Shuo Yu, Wenbin Jiang, Shuai Ma, Xiang Ao, Qing He
Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. ICMLC (2023)
Hayat Dino Bedru, Chen Zhang, Feng Xie, Shuo Yu, Iftikhar Hussain
CLARA: citation and similarity-based author ranking. Scientometrics 128 (2) (2023)
Shan Jin, Zhikui Chen, Shuo Yu, Muhammad Altaf, Zhenchao Ma
Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering. AMC-SME (2023)
Pengfei Wang, Xinrui Yu, Yefei Ye, Heng Qi, Shuo Yu, Leyou Yang, Qiang Zhang
Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs Systems. ICPADS (2023)
Xuan Chen, Zhikui Chen, Liang Yao, Shubin Ma, Peng Li, Shuo Yu
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering. HPCC/DSS/SmartCity/DependSys (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD (2023)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) (2023)
Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia
Web of Conferences: A Conference Knowledge Graph. WSDM (2023)
Mourad Lablack, Shuo Yu, Shuai Xu, Yanming Shen
Long-sequence model for traffic forecasting in suboptimal situation. MobiArch@MobiCom (2023)
Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN (2023)
Xu Yuan, Fangbo Li, Muhammad Zeeshan Haider, Feng Ding, Ange Qi, Shuo Yu
Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability. ICA3PP (6) (2023)
Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022)
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
Collaborative Team Recognition: A Core Plus Extension Structure. J. Informetrics 16 (4) (2022)
Shuo Yu, Feng Xia, Chen Zhang, Haoran Wei, Kathleen Keogh, Honglong Chen
Familiarity-Based Collaborative Team Recognition in Academic Social Networks. IEEE Trans. Comput. Soc. Syst. 9 (5) (2022)
Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
How to optimize an academic team when the outlier member is leaving? CoRR (2022)
Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee
CHIEF: Clustering with Higher-order Motifs in Big Networks. CoRR (2022)
Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, Lili Cong
Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Feng Xia, Shuo Yu, Chengfei Liu, Jianxin Li, Ivan Lee
CHIEF: Clustering With Higher-Order Motifs in Big Networks. IEEE Trans. Netw. Sci. Eng. 9 (3) (2022)
Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions. CoRR (2022)
Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen
Familiarity-based Collaborative Team Recognition in Academic Social Networks. CoRR (2022)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
Graph Augmentation Learning. WWW (Companion Volume) (2022)
Chen Wang, Xiaoming Liu, Zhixiang Huang, Shuo Yu, Xiaofan Yang, Xiaobang Shang
A Sensor for Characterisation of Liquid Materials with High Permittivity and High Dielectric Loss. Sensors 22 (5) (2022)
Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia
Data-Driven Decision Making in COVID-19 Response: A Survey. CoRR (2022)
Xiaoming Liu, Dan Zhang, Shuo Yu, Chen Wang, Xiaofan Yang, Ye Wang
A Dual-Band Resonator Sensor for Low Permittivity Characterization. IEEE Trans. Instrum. Meas. 71 (2022)
Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia
Abnormal Entity-Aware Knowledge Graph Completion. ICDM (Workshops) (2022)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
Graph Augmentation Learning. CoRR (2022)
Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen
Fake Reviewer Group Detection in Online Review Systems. ICDM (Workshops) (2021)
Nakema Y. Deonauth, Mingchu Li, Shuo Yu, Xiangtai Chen
An Upstream-Reciprocity-Based Strategy for Academic Social Networks Using Public Goods Game. IEEE Trans. Comput. Soc. Syst. 8 (6) (2021)
Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen
Fake Reviewer Group Detection in Online Review Systems. CoRR (2021)
Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36 (3) (2021)
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2 (2) (2021)
Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia
Data-Driven Decision-Making in COVID-19 Response: A Survey. IEEE Trans. Comput. Soc. Syst. 8 (4) (2021)
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
Graph Force Learning. CoRR (2021)
Shuo Yu, Yidong Chai, Hsinchun Chen, Randall A. Brown, Scott J. Sherman, Jay F. Nunamaker Jr.
Fall Detection with Wearable Sensors: A Hierarchical Attention-based Convolutional Neural Network Approach. J. Manag. Inf. Syst. 38 (4) (2021)
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
Higher-order Structure Based Anomaly Detection on Attributed Networks. IEEE BigData (2021)
Shuo Yu
Motion Sensor-Based Health Profiling for Parkinson's Disease: A Deep Learning Approach. ICIS (2021)
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
Graph Learning: A Survey. CoRR (2021)
Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee
Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions. IEEE Trans. Comput. Soc. Syst. 8 (1) (2021)
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
Multivariate Relations Aggregation Learning in Social Networks. CoRR (2020)
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
Big Networks: A Survey. CoRR (2020)
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
Multivariate Relations Aggregation Learning in Social Networks. JCDL (2020)
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
Big networks: A survey. Comput. Sci. Rev. 37 (2020)
Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia
Motif discovery in networks: A survey. Comput. Sci. Rev. 37 (2020)
Hayat Dino Bedru, Shuo Yu, Liangtian Wan, Mengyang Wang, Kaiyuan Zhang, He Guo, Iftikhar Hussain
Detecting leaders and key members of scientific teams in co-authorship networks. Comput. Electr. Eng. 85 (2020)
Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
OFFER: A Motif Dimensional Framework for Network Representation Learning. CIKM (2020)
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
Graph Force Learning. IEEE BigData (2020)
Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
OFFER: A Motif Dimensional Framework for Network Representation Learning. CoRR (2020)
Shuo Yu, Jin Xu, Chen Zhang, Feng Xia, Zafer Al-Makhadmeh, Amr Tolba
Motifs in Big Networks: Methods and Applications. IEEE Access 7 (2019)
Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. World Wide Web 22 (6) (2019)
Shuo Yu, Hayat Dino Bedru, Ivan Lee, Feng Xia
Science of Scientific Team Science: A survey. Comput. Sci. Rev. 31 (2019)
Yufan Feng, Shuo Yu, Kaiyuan Zhang, Xiangli Li, Zhaolong Ning
COMICS: a community property-based triangle motif clustering scheme. PeerJ Comput. Sci. 5 (2019)
Xiangjie Kong, Mengyi Mao, Huizhen Jiang, Shuo Yu, Liangtian Wan
How does collaboration affect researchers' positions in co-authorship networks? J. Informetrics 13 (3) (2019)
Shuo Yu, Hongyi Zhu, Shan Jiang, Yong Zhang, Chunxiao Xing, Hsinchun Chen
Emoticon Analysis for Chinese Social Media and E-commerce: The AZEmo System. ACM Trans. Manag. Inf. Syst. 9 (4) (2019)
Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia
Academic social networks: Modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132 (2019)
Sagar Samtani, Hongyi Zhu, Shuo Yu
Fear Appeals and Information Security Behaviors: An Empirical Study on Mechanical Turk. AIS Trans. Replication Res. 5 (2019)
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
Skill ranking of researchers via hypergraph. PeerJ Comput. Sci. 5 (2019)
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
Skill ranking of researchers via hypergraph. PeerJ Prepr. 7 (2019)
Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan, Imran A. Rizvi
Resource allocation in RF energy harvesting-assisted underlay D2D communication. Trans. Emerg. Telecommun. Technol. 30 (7) (2019)
Shuo Yu, Feng Xia, Huan Liu
Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect. IEEE Trans. Comput. Soc. Syst. 6 (5) (2019)
Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu
A Survey of Measures for Network Motifs. IEEE Access 7 (2019)
Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia
API: An Index for Quantifying a Scholar's Academic Potential. IEEE Access 7 (2019)
Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia
Predictive Representation Learning in Motif-Based Graph Networks. Australasian Conference on Artificial Intelligence (2019)
Shuo Yu, Yuanhu Liu, Jing Ren, Hayat Dino Bedru, Teshome Megersa Bekele, Liangtian Wan, Feng Xia
Mining Key Scholars via Collapsed Core and Truss. DASC/PiCom/DataCom/CyberSciTech (2019)
Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba, Feng Xia
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks. J. Netw. Comput. Appl. 104 (2018)
Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia
Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. BIBM (2018)
Shuo Yu, Hsinchun Chen, Randall A. Brown, Scott J. Sherman
Motion Sensor-Based Assessment on Fall Risk and Parkinson's Disease Severity: A Deep Multi-Source Multi-Task Learning (DMML) Approach. ICHI (2018)
Shuo Yu, Hsinchun Chen, Randall A. Brown
Hidden Markov Model-Based Fall Detection With Motion Sensor Orientation Calibration: A Case for Real-Life Home Monitoring. IEEE J. Biomed. Health Informatics 22 (6) (2018)
Li Liu, Shuo Yu, Xiang Wei, Zhaolong Ning
An improved Apriori-based algorithm for friends recommendation in microblog. Int. J. Commun. Syst. 31 (2) (2018)
Sagar Samtani, Shuo Yu, Hongyi Zhu, Mark W. Patton, John Matherly, Hsinchun Chen
Identifying SCADA Systems and Their Vulnerabilities on the Internet of Things: A Text-Mining Approach. IEEE Intell. Syst. 33 (2) (2018)
Shuo Yu, Feng Xia, Kaiyuan Zhang, Zhaolong Ning, Jiaofei Zhong, Chengfei Liu
Team Recognition in Big Scholarly Data: Exploring Collaboration Intensity. DASC/PiCom/DataCom/CyberSciTech (2017)
Zhaolong Ning, Lei Liu, Shuo Yu, Feng Xia
Detection of Four-Node Motif in Complex Networks. COMPLEX NETWORKS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuo Yu