CAR: Incorporating Filtered Citation Relations for Scientific Article Recommendation. - Haifeng Liu; Zhuo Yang; Ivan Lee 001; Zhenzhen Xu; Shuo Yu 001; Feng Xia 001 (SmartCity, 2015)

Can Academic Conferences Promote Research Collaboration? - Xiaoyan Su; Wei Wang 077; Shuo Yu 001; Chenxin Zhang; Teshome Megersa Bekele; Feng Xia 001 (JCDL, 2016)

Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach. - Wei Wang 077; Jiaying Liu 006; Shuo Yu 001; Chenxin Zhang; Zhenzhen Xu; Feng Xia 001 (JCDL, 2016)

Who are the Rising Stars in Academia? - Jun Zhang 048; Zhaolong Ning; Xiaomei Bai; Wei Wang 077; Shuo Yu 001; Feng Xia 001 (JCDL, 2016)

CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars. - Jun Zhang 048; Feng Xia 001; Wei Wang 077; Xiaomei Bai; Shuo Yu 001; Teshome Megersa Bekele; Zhong Peng (WWW (Companion Volume), 2016)

Detection of Four-Node Motif in Complex Networks. - Zhaolong Ning; Lei Liu; Shuo Yu 001; Feng Xia 001 (COMPLEX NETWORKS, 2017)

A Modified Node2vec Method for Disappearing Link Prediction. - Lu Li; Wei Wang 077; Shuo Yu 001; Liangtian Wan; Zhenzhen Xu; Xiangjie Kong 001 (DASC/PiCom/DataCom/CyberSciTech, 2017)

Team Recognition in Big Scholarly Data: Exploring Collaboration Intensity. - Shuo Yu 001; Feng Xia 001; Kaiyuan Zhang 004; Zhaolong Ning; Jiaofei Zhong; Chengfei Liu (DASC/PiCom/DataCom/CyberSciTech, 2017)

Is Scientific Collaboration Sustainability Predictable? - Wei Wang 077; Zixin Cui; Tong Gao; Shuo Yu 001; Xiangjie Kong 001; Feng Xia 001 (WWW (Companion Volume), 2017)

Scientific collaboration patterns vary with scholars' academic ages. - Wei Wang 077; Shuo Yu 001; Teshome Megersa Bekele; Xiangjie Kong 001; Feng Xia 001 (Scientometrics, 2017)

Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. - Bo Xu 009; Yu Liu 035; Shuo Yu 001; Lei Wang 005; Lei Liu; Hongfei Lin; Zhihao Yang; Jian Wang 021; Feng Xia 001 (BIBM, 2018)

An improved Apriori-based algorithm for friends recommendation in microblog. - Li Liu 013; Shuo Yu 001; Xiang Wei; Zhaolong Ning (Int. J. Commun. Syst., 2018)

PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks. - Shuo Yu 001; Jiaying Liu 006; Zhuo Yang; Zhen Chen; Huizhen Jiang; Amr Tolba; Feng Xia 001 (J. Netw. Comput. Appl., 2018)

Predictive Representation Learning in Motif-Based Graph Networks. - Kaiyuan Zhang 004; Shuo Yu 001; Liangtian Wan; Jianxin Li 001; Feng Xia 001 (Australasian Conference on Artificial Intelligence, 2019)

Mining Key Scholars via Collapsed Core and Truss. - Shuo Yu 001; Yuanhu Liu; Jing Ren 001; Hayat Dino Bedru; Teshome Megersa Bekele; Liangtian Wan; Feng Xia 001 (DASC/PiCom/DataCom/CyberSciTech, 2019)

API: An Index for Quantifying a Scholar's Academic Potential. - Jing Ren 001; Lei Wang 134; Kailai Wang; Shuo Yu 001; Mingliang Hou; Ivan Lee 001; Xiangjie Kong 001; Feng Xia 001 (IEEE Access, 2019)

A Survey of Measures for Network Motifs. - Feng Xia 001; Haoran Wei; Shuo Yu 001; Da Zhang 002; Bo Xu 008 (IEEE Access, 2019)

Motifs in Big Networks: Methods and Applications. - Shuo Yu 001; Jin Xu; Chen Zhang; Feng Xia 001; Zafer Al-Makhadmeh; Amr Tolba (IEEE Access, 2019)

Science of Scientific Team Science: A survey. - Shuo Yu 001; Hayat Dino Bedru; Ivan Lee 001; Feng Xia 001 (Comput. Sci. Rev., 2019)

Academic social networks: Modeling, analysis, mining and applications. - Xiangjie Kong 001; Yajie Shi; Shuo Yu 001; Jiaying Liu 006; Feng Xia 001 (J. Netw. Comput. Appl., 2019)

How does collaboration affect researchers' positions in co-authorship networks? - Xiangjie Kong 001; Mengyi Mao; Huizhen Jiang; Shuo Yu 001; Liangtian Wan (J. Informetrics, 2019)

COMICS: a community property-based triangle motif clustering scheme. - Yufan Feng; Shuo Yu 001; Kaiyuan Zhang 004; Xiangli Li; Zhaolong Ning (PeerJ Comput. Sci., 2019)

Skill ranking of researchers via hypergraph. - Xiangjie Kong 001; Lei Liu; Shuo Yu 001; Andong Yang; Xiaomei Bai; Bo Xu 008 (PeerJ Prepr., 2019)

Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect. - Shuo Yu 001; Feng Xia 001; Huan Liu 001 (IEEE Trans. Comput. Soc. Syst., 2019)

CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting. - Wei Wang 077; Bo Xu 008; Jiaying Liu 006; Zixin Cui; Shuo Yu 001; Xiangjie Kong 001; Feng Xia 001 (World Wide Web, 2019)

Graph Force Learning. - Ke Sun 011; Jiaying Liu 006; Shuo Yu 001; Bo Xu 008; Feng Xia 001 (IEEE BigData, 2020)

OFFER: A Motif Dimensional Framework for Network Representation Learning. - Shuo Yu 001; Feng Xia 001; Jin Xu; Zhikui Chen; Ivan Lee 001 (CIKM, 2020)

Multivariate Relations Aggregation Learning in Social Networks. - Jin Xu; Shuo Yu 001; Ke Sun 011; Jing Ren 001; Ivan Lee 001; Shirui Pan; Feng Xia 001 (JCDL, 2020)

Detecting leaders and key members of scientific teams in co-authorship networks. - Hayat Dino Bedru; Shuo Yu 001; Liangtian Wan; Mengyang Wang; Kaiyuan Zhang 004; He Guo 001; Iftikhar Hussain (Comput. Electr. Eng., 2020)

Big networks: A survey. - Hayat Dino Bedru; Shuo Yu 001; Xinru Xiao; Da Zhang 002; Liangtian Wan; He Guo 001; Feng Xia 001 (Comput. Sci. Rev., 2020)

Motif discovery in networks: A survey. - Shuo Yu 001; Yufan Feng; Da Zhang 002; Hayat Dino Bedru; Bo Xu 008; Feng Xia 001 (Comput. Sci. Rev., 2020)

Higher-order Structure Based Anomaly Detection on Attributed Networks. - Xu Yuan 002; Na Zhou; Shuo Yu 001; Huafei Huang; Zhikui Chen; Feng Xia 001 (IEEE BigData, 2021)

Fake Reviewer Group Detection in Online Review Systems. - Chen Cao; Shihao Li; Shuo Yu 001; Zhikui Chen (ICDM (Workshops), 2021)

Graph Force Learning. - Ke Sun 011; Jiaying Liu 006; Shuo Yu 001; Bo Xu 009; Feng Xia 001 (CoRR, 2021)

How to Optimize an Academic Team When the Outlier Member is Leaving? - Shuo Yu 001; Jiaying Liu 006; Haoran Wei; Feng Xia 001; Hanghang Tong (IEEE Intell. Syst., 2021)

Graph Learning: A Survey. - Feng Xia 001; Ke Sun 011; Shuo Yu 001; Abdul Aziz; Liangtian Wan; Shirui Pan; Huan Liu 001 (IEEE Trans. Artif. Intell., 2021)

An Upstream-Reciprocity-Based Strategy for Academic Social Networks Using Public Goods Game. - Nakema Y. Deonauth; Mingchu Li; Shuo Yu 001; Xiangtai Chen (IEEE Trans. Comput. Soc. Syst., 2021)

Data-Driven Decision-Making in COVID-19 Response: A Survey. - Shuo Yu 001; Qing Qing; Chen Zhang; Ahsan Shehzad; Giles Oatley; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions. - Shuo Yu 001; Feng Xia 001; Yuchen Sun; Tao Tang 007; Xiaoran Yan; Ivan Lee 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Abnormal Entity-Aware Knowledge Graph Completion. - Ke Sun 011; Shuo Yu 001; Ciyuan Peng; Xiang Li; Mehdi Naseriparsa; Feng Xia 001 (ICDM (Workshops), 2022)

Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation. - Xu Yuan 002; Ying Yang; Huafei Huang; Shuo Yu 001; Lili Cong (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Graph Augmentation Learning. - Shuo Yu 001; Huafei Huang; Minh N. Dao; Feng Xia 001 (WWW (Companion Volume), 2022)

CHIEF: Clustering with Higher-order Motifs in Big Networks. - Feng Xia 001; Shuo Yu 001; Chengfei Liu; Ivan Lee 001 (CoRR, 2022)

Familiarity-based Collaborative Team Recognition in Academic Social Networks. - Shuo Yu 001; Feng Xia 001; Chen Zhang; Kathleen Keogh; Honglong Chen (CoRR, 2022)

Graph Learning for Fake Review Detection. - Shuo Yu 001; Jing Ren 001; Shihao Li; Mehdi Naseriparsa; Feng Xia 001 (Frontiers Artif. Intell., 2022)

Collaborative Team Recognition: A Core Plus Extension Structure. - Shuo Yu 001; Fayez Alqahtani 001; Amr Tolba; Ivan Lee 001; Tao Jia 001; Feng Xia 001 (J. Informetrics, 2022)

Familiarity-Based Collaborative Team Recognition in Academic Social Networks. - Shuo Yu 001; Feng Xia 001; Chen Zhang; Haoran Wei; Kathleen Keogh; Honglong Chen (IEEE Trans. Comput. Soc. Syst., 2022)

CHIEF: Clustering With Higher-Order Motifs in Big Networks. - Feng Xia 001; Shuo Yu 001; Chengfei Liu; Jianxin Li 001; Ivan Lee 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering. - Shan Jin 003; Zhikui Chen; Shuo Yu 001; Muhammad Altaf; Zhenchao Ma (AMC-SME, 2023)

Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering. - Xuan Chen; Zhikui Chen; Liang Yao; Shubin Ma; Peng Li 027; Shuo Yu 001 (HPCC/DSS/SmartCity/DependSys, 2023)

Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability. - Xu Yuan 002; Fangbo Li; Muhammad Zeeshan Haider; Feng Ding 004; Ange Qi; Shuo Yu 001 (ICA3PP (6), 2023)

Deep Outdated Fact Detection in Knowledge Graphs. - Huiling Tu; Shuo Yu 001; Vidya Saikrishna; Feng Xia 001; Karin Verspoor (ICDM (Workshops), 2023)

Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs Systems. - Pengfei Wang 013; Xinrui Yu; Yefei Ye; Heng Qi; Shuo Yu 001; Leyou Yang; Qiang Zhang 008 (ICPADS, 2023)

MEGA: Explaining Graph Neural Networks with Network Motifs. - Feng Ding 004; Naiwen Luo; Shuo Yu 001; Tingting Wang; Feng Xia 001 (IJCNN, 2023)

Long-sequence model for traffic forecasting in suboptimal situation. - Mourad Lablack; Shuo Yu 001; Shuai Xu; Yanming Shen (MobiArch, 2023)

Web of Conferences: A Conference Knowledge Graph. - Shuo Yu 001; Ciyuan Peng; Chengchuan Xu; Chen Zhang; Feng Xia 001 (WSDM, 2023)

Quantum Graph Learning: Frontiers and Outlook. - Shuo Yu 001; Ciyuan Peng; Yingbo Wang; Ahsan Shehzad; Feng Xia 001; Edwin R. Hancock (CoRR, 2023)

Reputation-based partition scheme for IoT security. - Zhikui Chen; Muhammad Zeeshan Haider; Naiwen Luo; Shuo Yu 001; Xu Yuan 002; Yaochen Zhang; Tayyaba Noreen (Secur. Priv., 2023)

Exploring Public Sentiment During COVID-19: A Cross Country Analysis. - Shuo Yu 001; Sihan He; Zhen Cai; Ivan Lee 001; Mehdi Naseriparsa; Feng Xia 001 (IEEE Trans. Comput. Soc. Syst., 2023)

CLARA: citation and similarity-based author ranking. - Hayat Dino Bedru; Chen Zhang; Feng Xie 003; Shuo Yu 001; Iftikhar Hussain (Scientometrics, 2023)

Spatio-temporal Graph Learning for Epidemic Prediction. - Shuo Yu 001; Feng Xia 001; Shihao Li; Mingliang Hou; Quan Z. Sheng (ACM Trans. Intell. Syst. Technol., 2023)

SPR: A Similar Projection Revisor for Complex Logical Reasoning over Knowledge Graphs. - Tingting Wang; Yuxuan Tang; Ruolin Li; Duo Yu; Bowen Feng; Feng Ding 004; Shuo Yu 001; Yanming Shen (WISA, 2024)

Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages. - Shuai Xu; Jianqiu Xu; Shuo Yu 001; Bohan Li 001 (CIKM, 2024)

Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. - Ciyuan Peng; Mujie Liu; Chenxuan Meng; Shuo Yu 001; Feng Xia 001 (Tiny Papers @ ICLR, 2024)

FairGT: A Fairness-aware Graph Transformer. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Xiuzhen Zhang 001; Feng Xia 001 (IJCAI, 2024)

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. - Renqiang Luo; Huafei Huang; Shuo Yu 001; Zhuoyang Han; Estrid He; Xiuzhen Zhang 001; Feng Xia 001 (KDD, 2024)

Long-range Brain Graph Transformer. - Shuo Yu 001; Shan Jin 003; Ming Li; Tabinda Sarwar; Feng Xia 001 (NeurIPS, 2024)

Pretraining Molecules with Explicit Substructure Information. - Yuting Ma; Shuo Yu 001; Yanming Shen (SDM, 2024)

How Can Large Language Models Understand Spatial-Temporal Data? - Lei Liu; Shuo Yu 001; Runze Wang; Zhenxun Ma; Yanming Shen (CoRR, 2024)

Graph Transformers: A Survey. - Ahsan Shehzad; Feng Xia 001; Shagufta Abid; Ciyuan Peng; Shuo Yu 001; Dongyu Zhang 001; Karin Verspoor (CoRR, 2024)

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis. - Ke Sun 011; Ciyuan Peng; Shuo Yu 001; Zhuoyang Han; Feng Xia 001 (IEEE Intell. Syst., 2024)

Coupled Attention Networks for Multivariate Time Series Anomaly Detection. - Feng Xia 001; Xin Chen 054; Shuo Yu 001; Mingliang Hou; Mujie Liu; Linlin You (IEEE Trans. Emerg. Top. Comput., 2024)

Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach. - Huafei Huang; Xu Yuan 002; Shuo Yu 001; Wenhong Zhao; Osama Alfarraj; Amr Tolba; Feng Xia 001 (IEEE Trans. Consumer Electron., 2024)

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting. - Shuo Yu 001; Feng Xia 001; Yueru Wang; Shihao Li; Falih Gozi Febrinanto; Madhu Chetty (IEEE Trans. Comput. Soc. Syst., 2024)

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. - Zhen Cai; Tao Tang 007; Shuo Yu 001; Yunpeng Xiao 001; Feng Xia 001 (IEEE Internet Things J., 2024)

Personalized Federated Graph Learning on Non-IID Electronic Health Records. - Tao Tang 007; Zhuoyang Han; Zhen Cai; Shuo Yu 001; Xiaokang Zhou; Taiwo Oseni; Sajal K. Das 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Fuzzy Multiview Graph Learning on Sparse Electronic Health Records. - Tao Tang 007; Zhuoyang Han; Shuo Yu 001; Adil M. Bagirov; Qiang Zhang 008 (IEEE Trans. Fuzzy Syst., 2024)

Heterogeneous Network Motif Coding, Counting, and Profiling. - Shuo Yu 001; Feng Xia 001; Honglong Chen; Ivan Lee 001; Lianhua Chi; Hanghang Tong (ACM Trans. Knowl. Discov. Data, 2024)

Factor Graph-based Interpretable Neural Networks. - Yicong Li 006; Kuanjiu Zhou; Shuo Yu 001; Qiang Zhang 008; Renqiang Luo; Xiaodong Li; Feng Xia 001 (ICLR, 2025)

Biologically Plausible Brain Graph Transformer. - Ciyuan Peng; Yuelong Huang; Qichao Dong; Shuo Yu 001; Feng Xia 001; Chengqi Zhang; Yaochu Jin (ICLR, 2025)

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. - Feng Ding 004; Tingting Wang; Yupeng Gao; Shuo Yu 001; Jing Ren 001; Feng Xia 001 (WWW (Companion Volume), 2025)

Multi-type social patterns-based graph learning. - Shuo Yu 001; Zhuoyang Han; Feng Ding 004; Huafei Huang; Renqiang Luo; Guoqing Han; Feng Xia 001 (Neurocomputing, 2025)

Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning. - Shuo Yu 001; Yingbo Wang; Ruolin Li; Guchun Liu; Yanming Shen; Shaoxiong Ji; Bowen Li 012; Fengling Han; Xiuzhen Zhang 001; Feng Xia 001 (CoRR, 2025)

Formulating and Representing Multiagent Systems With Hypergraphs. - Shuo Yu 001; Huafei Huang; Yanming Shen; Pengfei Wang 013; Qiang Zhang 008; Ke Sun 011; Honglong Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

Multiscale Graph Transformer for Brain Disorder Diagnosis. - Ahsan Shehzad; Dongyu Zhang 001; Shuo Yu 001; Shagufta Abid; Dinesh Kant Kumar; Feng Xia 001 (IEEE Trans. Consumer Electron., 2025)

Dynamic Graph Transformer for Brain Disorder Diagnosis. - Ahsan Shehzad; Dongyu Zhang 001; Shuo Yu 001; Shagufta Abid; Feng Xia 001 (IEEE J. Biomed. Health Informatics, 2025)

Graph Learning. - Feng Xia 001; Ciyuan Peng; Jing Ren 001; Falih Gozi Febrinanto; Renqiang Luo; Vidya Saikrishna; Shuo Yu 001; Xiangjie Kong 001 (CoRR, 2025)

Path-Aware Few-Shot Knowledge Graph Completion. - Shuo Yu 001; Yingbo Wang; Zhitao Wan; Yanming Shen; Qiang Zhang 008; Feng Xia 001 (IEEE Trans. Artif. Intell., 2025)