Shuo Yu

127 papers A* 11A 4B 2Misc 1Journal 82Unranked 27
YearRankTypeTitle / Venue / Authors
2026 A* conf
Bridging Semantic Understanding and Popularity Bias with LLMs.
WWW
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 J jnl
Bridging Semantic Understanding and Popularity Bias with LLMs.
CoRR
Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu
2026 A* conf
Explaining Synergistic Effects in Social Recommendations.
WWW
Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia
2026 J jnl
Explaining Synergistic Effects in Social Recommendations.
CoRR
Yicong Li, Shan Jin, Qi Liu, Shuo Wang, Jiaying Liu, Shuo Yu, Qiang Zhang, Kuanjiu Zhou, Feng Xia
2026 J jnl
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning.
ACM Trans. Inf. Syst.
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia
2026 A* conf
Missingness-aware Federated Contrastive Learning on Semantic Graphs.
WWW
Shuo Yu, Zhuoyang Han, Guoqing Han, Tao Tang, Feng Ding, Qiang Zhang
2026 A* conf
SPGCL: Subgraph Pattern-Aware Graph Contrastive Learning for High-Order Structural Representation.
WWW
Zhe Zhan, Xiangshi Li, Tingting Wang, Shuo Yu, Henan Lei
2026 A* conf
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
WWW
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2026 J jnl
When to Invoke: Refining LLM Fairness with Toxicity Assessment.
CoRR
Jing Ren, Bowen Li, Ziqi Xu, Renqiang Luo, Shuo Yu, Xin Ye, Haytham Fayek, Xiaodong Li, Feng Xia
2025 A* conf
Biologically Plausible Brain Graph Transformer.
ICLR
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025 J jnl
Biologically Plausible Brain Graph Transformer.
CoRR
Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin
2025 J jnl
Brain PathoGraph Learning.
CoRR
Ciyuan Peng, Nguyen Linh Dan Le, Shan Jin, Dexuan Ding, Shuo Yu, Feng Xia
2025 J jnl
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems.
ACM Trans. Inf. Syst.
Shuo Yu, Yicong Li, Shuo Wang, Tao Tang, Qiang Zhang, Jingjing Zhou, Ivan Lee, Feng Xia
2025 J jnl
Dynamic Graph Transformer for Brain Disorder Diagnosis.
IEEE J. Biomed. Health Informatics
Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Feng Xia
2025 A* conf
Factor Graph-based Interpretable Neural Networks.
ICLR
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia
2025 J jnl
Factor Graph-based Interpretable Neural Networks.
CoRR
Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia
2025 J jnl
Formulating and Representing Multiagent Systems With Hypergraphs.
IEEE Trans. Neural Networks Learn. Syst.
Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen
2025 J jnl
Graph Learning.
CoRR
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 J jnl
Graph Learning.
Found. Trends Signal Process.
Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong
2025 J jnl
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning.
CoRR
Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia
2025 — conf
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs.
WWW (Companion Volume)
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia
2025 J jnl
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs.
CoRR
Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia
2025 J jnl
Long-range Brain Graph Transformer.
CoRR
Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia
2025 J jnl
Multi-type social patterns-based graph learning.
Neurocomputing
Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia
2025 J jnl
Multiscale Graph Transformer for Brain Disorder Diagnosis.
IEEE Trans. Consumer Electron.
Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Dinesh Kant Kumar, Feng Xia
2025 J jnl
Open-world object detection with multi-dataset image-label matching.
Comput. Electr. Eng.
Zhe Fu, Shuo Yu, Pengjun Cao, Jing Wei, Heng Wang, Gaoxiang Zhang, Bizheng Luo, Hong Zhang
2025 J jnl
Path-Aware Few-Shot Knowledge Graph Completion.
IEEE Trans. Artif. Intell.
Shuo Yu, Yingbo Wang, Zhitao Wan, Yanming Shen, Qiang Zhang, Feng Xia
2025 — conf
Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs.
AI (2)
Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Mujie Liu, Tao Tang, Shuo Yu, Ivan Lee
2025 J jnl
Quantum entropy structural encoding for graph neural networks.
Knowl. Based Syst.
Feng Ding, Yingbo Wang, Shuo Yu, Yanming Shen
2025 J jnl
Reputation-based partition scheme for IoT security.
CoRR
Zhikui Chen, Muhammad Zeeshan Haider, Naiwen Luo, Shuo Yu, Xu Yuan, Yaochen Zhang, Tayyaba Noreen
2025 A* conf
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection.
IJCAI
Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin, Feng Xia
2024 — conf
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning.
Tiny Papers @ ICLR
Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia
2024 J jnl
Collaborative Team Recognition: A Core Plus Extension Structure.
CoRR
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
2024 J jnl
Coupled Attention Networks for Multivariate Time Series Anomaly Detection.
IEEE Trans. Emerg. Top. Comput.
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
2024 J jnl
Deep Outdated Fact Detection in Knowledge Graphs.
CoRR
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor
2024 A* conf
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
KDD
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 J jnl
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia
2024 A* conf
FairGT: A Fairness-aware Graph Transformer.
IJCAI
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
FairGT: A Fairness-aware Graph Transformer.
CoRR
Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia
2024 J jnl
Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach.
IEEE Trans. Consumer Electron.
Huafei Huang, Xu Yuan, Shuo Yu, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia
2024 J jnl
From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis.
IEEE Intell. Syst.
Ke Sun, Ciyuan Peng, Shuo Yu, Zhuoyang Han, Feng Xia
2024 J jnl
Fuzzy Multiview Graph Learning on Sparse Electronic Health Records.
IEEE Trans. Fuzzy Syst.
Tao Tang, Zhuoyang Han, Shuo Yu, Adil M. Bagirov, Qiang Zhang
2024 J jnl
Graph Transformers: A Survey.
CoRR
Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor
2024 J jnl
Heterogeneous Network Motif Coding, Counting, and Profiling.
ACM Trans. Knowl. Discov. Data
Shuo Yu, Feng Xia, Honglong Chen, Ivan Lee, Lianhua Chi, Hanghang Tong
2024 J jnl
Higher-order Structure Based Anomaly Detection on Attributed Networks.
CoRR
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
2024 J jnl
How Can Large Language Models Understand Spatial-Temporal Data?
CoRR
Lei Liu, Shuo Yu, Runze Wang, Zhenxun Ma, Yanming Shen
2024 A conf
Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages.
CIKM
Shuai Xu, Jianqiu Xu, Shuo Yu, Bohan Li
2024 A* conf
Long-range Brain Graph Transformer.
NeurIPS
Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia
2024 J jnl
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems.
CoRR
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
2024 J jnl
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems.
IEEE Internet Things J.
Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia
2024 J jnl
PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Gozi Febrinanto, Madhu Chetty
2024 J jnl
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting.
CoRR
Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty
2024 J jnl
Personalized Federated Graph Learning on Non-IID Electronic Health Records.
IEEE Trans. Neural Networks Learn. Syst.
Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das
2024 A conf
Pretraining Molecules with Explicit Substructure Information.
SDM
Yuting Ma, Shuo Yu, Yanming Shen
2024 Misc conf
SPR: A Similar Projection Revisor for Complex Logical Reasoning over Knowledge Graphs.
WISA
Tingting Wang, Yuxuan Tang, Ruolin Li, Duo Yu, Bowen Feng, Feng Ding, Shuo Yu, Yanming Shen
2023 B conf
Anomalous Behavior Identification with Visual Federated Learning in Multi-UAVs Systems.
ICPADS
Pengfei Wang, Xinrui Yu, Yefei Ye, Heng Qi, Shuo Yu, Leyou Yang, Qiang Zhang
2023 J jnl
CLARA: citation and similarity-based author ranking.
Scientometrics
Hayat Dino Bedru, Chen Zhang, Feng Xie, Shuo Yu, Iftikhar Hussain
2023 — conf
Correlation Fusion with Instance-level Auto-weighted for Multi-view Graph Clustering.
HPCC/DSS/SmartCity/DependSys
Xuan Chen, Zhikui Chen, Liang Yao, Shubin Ma, Peng Li, Shuo Yu
2023 J jnl
Coupled Attention Networks for Multivariate Time Series Anomaly Detection.
CoRR
Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You
2023 — conf
Deep Outdated Fact Detection in Knowledge Graphs.
ICDM (Workshops)
Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor
2023 J jnl
Exploring Public Sentiment During COVID-19: A Cross Country Analysis.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Sihan He, Zhen Cai, Ivan Lee, Mehdi Naseriparsa, Feng Xia
2023 — conf
Long-sequence model for traffic forecasting in suboptimal situation.
MobiArch
Mourad Lablack, Shuo Yu, Shuai Xu, Yanming Shen
2023 B conf
MEGA: Explaining Graph Neural Networks with Network Motifs.
IJCNN
Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia
2023 J jnl
Quantum Graph Learning: Frontiers and Outlook.
CoRR
Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock
2023 — conf
Query Optimization Mechanism for Blockchain-Based Efficient Data Traceability.
ICA3PP (6)
Xu Yuan, Fangbo Li, Muhammad Zeeshan Haider, Feng Ding, Ange Qi, Shuo Yu
2023 J jnl
Reputation-based partition scheme for IoT security.
Secur. Priv.
Zhikui Chen, Muhammad Zeeshan Haider, Naiwen Luo, Shuo Yu, Xu Yuan, Yaochen Zhang, Tayyaba Noreen
2023 — conf
Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering.
AMC-SME
Shan Jin, Zhikui Chen, Shuo Yu, Muhammad Altaf, Zhenchao Ma
2023 J jnl
Spatio-temporal Graph Learning for Epidemic Prediction.
ACM Trans. Intell. Syst. Technol.
Shuo Yu, Feng Xia, Shihao Li, Mingliang Hou, Quan Z. Sheng
2023 A conf
Web of Conferences: A Conference Knowledge Graph.
WSDM
Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia
2022 — conf
Abnormal Entity-Aware Knowledge Graph Completion.
ICDM (Workshops)
Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia
2022 J jnl
CHIEF: Clustering With Higher-Order Motifs in Big Networks.
IEEE Trans. Netw. Sci. Eng.
Feng Xia, Shuo Yu, Chengfei Liu, Jianxin Li, Ivan Lee
2022 J jnl
CHIEF: Clustering with Higher-order Motifs in Big Networks.
CoRR
Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee
2022 J jnl
Collaborative Team Recognition: A Core Plus Extension Structure.
J. Informetrics
Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia
2022 J jnl
Data-Driven Decision Making in COVID-19 Response: A Survey.
CoRR
Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia
2022 J jnl
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions.
CoRR
Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee
2022 J jnl
Familiarity-Based Collaborative Team Recognition in Academic Social Networks.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Feng Xia, Chen Zhang, Haoran Wei, Kathleen Keogh, Honglong Chen
2022 J jnl
Familiarity-based Collaborative Team Recognition in Academic Social Networks.
CoRR
Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen
2022 — conf
Graph Augmentation Learning.
WWW (Companion Volume)
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 J jnl
Graph Augmentation Learning.
CoRR
Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia
2022 J jnl
Graph Learning for Fake Review Detection.
Frontiers Artif. Intell.
Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia
2022 J jnl
How to optimize an academic team when the outlier member is leaving?
CoRR
Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong
2022 — conf
Mining Implicit Relations Among Image Channels for Few-Shot Semantic Segmentation.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Xu Yuan, Ying Yang, Huafei Huang, Shuo Yu, Lili Cong
2021 J jnl
An Upstream-Reciprocity-Based Strategy for Academic Social Networks Using Public Goods Game.
IEEE Trans. Comput. Soc. Syst.
Nakema Y. Deonauth, Mingchu Li, Shuo Yu, Xiangtai Chen
2021 J jnl
Data-Driven Decision-Making in COVID-19 Response: A Survey.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia
2021 J jnl
Detecting Outlier Patterns With Query-Based Artificially Generated Searching Conditions.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee
2021 — conf
Fake Reviewer Group Detection in Online Review Systems.
ICDM (Workshops)
Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen
2021 J jnl
Fake Reviewer Group Detection in Online Review Systems.
CoRR
Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen
2021 J jnl
Graph Force Learning.
CoRR
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
2021 J jnl
Graph Learning: A Survey.
CoRR
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
2021 J jnl
Graph Learning: A Survey.
IEEE Trans. Artif. Intell.
Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu
2021 — conf
Higher-order Structure Based Anomaly Detection on Attributed Networks.
IEEE BigData
Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia
2021 J jnl
How to Optimize an Academic Team When the Outlier Member is Leaving?
IEEE Intell. Syst.
Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong
2020 J jnl
Big Networks: A Survey.
CoRR
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
2020 J jnl
Big networks: A survey.
Comput. Sci. Rev.
Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia
2020 J jnl
Detecting leaders and key members of scientific teams in co-authorship networks.
Comput. Electr. Eng.
Hayat Dino Bedru, Shuo Yu, Liangtian Wan, Mengyang Wang, Kaiyuan Zhang, He Guo, Iftikhar Hussain
2020 — conf
Graph Force Learning.
IEEE BigData
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
2020 J jnl
Motif discovery in networks: A survey.
Comput. Sci. Rev.
Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia
2020 — conf
Multivariate Relations Aggregation Learning in Social Networks.
JCDL
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
2020 J jnl
Multivariate Relations Aggregation Learning in Social Networks.
CoRR
Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia
2020 A conf
OFFER: A Motif Dimensional Framework for Network Representation Learning.
CIKM
Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
2020 J jnl
OFFER: A Motif Dimensional Framework for Network Representation Learning.
CoRR
Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee
2019 J jnl
A Survey of Measures for Network Motifs.
IEEE Access
Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu
2019 J jnl
API: An Index for Quantifying a Scholar's Academic Potential.
IEEE Access
Jing Ren, Lei Wang, Kailai Wang, Shuo Yu, Mingliang Hou, Ivan Lee, Xiangjie Kong, Feng Xia
2019 J jnl
Academic Team Formulation Based on Liebig's Barrel: Discovery of Anticask Effect.
IEEE Trans. Comput. Soc. Syst.
Shuo Yu, Feng Xia, Huan Liu
2019 J jnl
Academic social networks: Modeling, analysis, mining and applications.
J. Netw. Comput. Appl.
Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia
2019 J jnl
COMICS: a community property-based triangle motif clustering scheme.
PeerJ Comput. Sci.
Yufan Feng, Shuo Yu, Kaiyuan Zhang, Xiangli Li, Zhaolong Ning
2019 J jnl
CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.
World Wide Web
Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia
2019 J jnl
How does collaboration affect researchers' positions in co-authorship networks?
J. Informetrics
Xiangjie Kong, Mengyi Mao, Huizhen Jiang, Shuo Yu, Liangtian Wan
2019 — conf
Mining Key Scholars via Collapsed Core and Truss.
DASC/PiCom/DataCom/CyberSciTech
Shuo Yu, Yuanhu Liu, Jing Ren, Hayat Dino Bedru, Teshome Megersa Bekele, Liangtian Wan, Feng Xia
2019 J jnl
Motifs in Big Networks: Methods and Applications.
IEEE Access
Shuo Yu, Jin Xu, Chen Zhang, Feng Xia, Zafer Al-Makhadmeh, Amr Tolba
2019 — conf
Predictive Representation Learning in Motif-Based Graph Networks.
Australasian Conference on Artificial Intelligence
Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia
2019 J jnl
Science of Scientific Team Science: A survey.
Comput. Sci. Rev.
Shuo Yu, Hayat Dino Bedru, Ivan Lee, Feng Xia
2019 J jnl
Skill ranking of researchers via hypergraph.
PeerJ Comput. Sci.
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
2019 J jnl
Skill ranking of researchers via hypergraph.
PeerJ Prepr.
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
2018 J jnl
An improved Apriori-based algorithm for friends recommendation in microblog.
Int. J. Commun. Syst.
Li Liu, Shuo Yu, Xiang Wei, Zhaolong Ning
2018 — conf
Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding.
BIBM
Bo Xu, Yu Liu, Shuo Yu, Lei Wang, Lei Liu, Hongfei Lin, Zhihao Yang, Jian Wang, Feng Xia
2018 J jnl
PAVE: Personalized Academic Venue recommendation Exploiting co-publication networks.
J. Netw. Comput. Appl.
Shuo Yu, Jiaying Liu, Zhuo Yang, Zhen Chen, Huizhen Jiang, Amr Tolba, Feng Xia
2017 — conf
A Modified Node2vec Method for Disappearing Link Prediction.
DASC/PiCom/DataCom/CyberSciTech
Lu Li, Wei Wang, Shuo Yu, Liangtian Wan, Zhenzhen Xu, Xiangjie Kong
2017 — conf
Detection of Four-Node Motif in Complex Networks.
COMPLEX NETWORKS
Zhaolong Ning, Lei Liu, Shuo Yu, Feng Xia
2017 — conf
Is Scientific Collaboration Sustainability Predictable?
WWW (Companion Volume)
Wei Wang, Zixin Cui, Tong Gao, Shuo Yu, Xiangjie Kong, Feng Xia
2017 J jnl
Scientific collaboration patterns vary with scholars' academic ages.
Scientometrics
Wei Wang, Shuo Yu, Teshome Megersa Bekele, Xiangjie Kong, Feng Xia
2017 — conf
Team Recognition in Big Scholarly Data: Exploring Collaboration Intensity.
DASC/PiCom/DataCom/CyberSciTech
Shuo Yu, Feng Xia, Kaiyuan Zhang, Zhaolong Ning, Jiaofei Zhong, Chengfei Liu
2016 — conf
Can Academic Conferences Promote Research Collaboration?
JCDL
Xiaoyan Su, Wei Wang, Shuo Yu, Chenxin Zhang, Teshome Megersa Bekele, Feng Xia
2016 — conf
CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars.
WWW (Companion Volume)
Jun Zhang, Feng Xia, Wei Wang, Xiaomei Bai, Shuo Yu, Teshome Megersa Bekele, Zhong Peng
2016 — conf
Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach.
JCDL
Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia
2016 — conf
Who are the Rising Stars in Academia?
JCDL
Jun Zhang, Zhaolong Ning, Xiaomei Bai, Wei Wang, Shuo Yu, Feng Xia
2015 — conf
CAR: Incorporating Filtered Citation Relations for Scientific Article Recommendation.
SmartCity
Haifeng Liu, Zhuo Yang, Ivan Lee, Zhenzhen Xu, Shuo Yu, Feng Xia