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ORCIDShuo Yu 0001
Person information
- affiliation: Dalian University of Technology, Key Laboratory of Social Computing and Cognitive Intelligence, China
- affiliation (PhD 2019): Dalian University of Technology, School of Computer Science and Technology, China
Other persons with the same name
- Shuo Yu — disambiguation page
- Shuo Yu 0002
![[0000-0002-1885-2813]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1885-2813")
— Texas Tech University, Rawls College of Business, Lubbock, TX, USA (and 1 more) - Shuo Yu 0003 — Chinese Academy of Sciences, CAS, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Beijing, China (and 1 more)
- Shuo Yu 0004 — Ryerson University, Department of Electrical and Computer Engineering, Toronto, Canada
- Shuo Yu 0005 — Anhui Normal University, School of Physics and Electronic Information, Wuhu, China
- Shuo Yu 0006 — Shanghai Jiao Tong University, China
- Shuo Yu 0007 — University of Science and Technology of China, Hefei, China
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2020 – today
- 2025
[j46]Zhe Fu, Shuo Yu, Pengjun Cao, Jing Wei, Heng Wang, Gaoxiang Zhang, Bizheng Luo, Hong Zhang:
Open-world object detection with multi-dataset image-label matching. Comput. Electr. Eng. 128: 110742 (2025)- [j45]Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong:
Graph Learning. Found. Trends Signal Process. 19(4): 371-551 (2025) - [j44]Shuo Yu, Zhuoyang Han, Feng Ding, Huafei Huang, Renqiang Luo, Guoqing Han, Feng Xia:
Multi-type social patterns-based graph learning. Neurocomputing 637: 130039 (2025) - [j43]Feng Ding, Yingbo Wang, Shuo Yu, Yanming Shen:
Quantum entropy structural encoding for graph neural networks. Knowl. Based Syst. 330: 114580 (2025) - [j42]Shuo Yu, Yingbo Wang, Zhitao Wan, Yanming Shen, Qiang Zhang, Feng Xia:
Path-Aware Few-Shot Knowledge Graph Completion. IEEE Trans. Artif. Intell. 6(8): 2133-2147 (2025) - [j41]Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Dinesh Kant Kumar, Feng Xia:
Multiscale Graph Transformer for Brain Disorder Diagnosis. IEEE Trans. Consumer Electron. 71(2): 5535-5546 (2025) - [j40]Ahsan Shehzad, Dongyu Zhang, Shuo Yu, Shagufta Abid, Feng Xia:
Dynamic Graph Transformer for Brain Disorder Diagnosis. IEEE J. Biomed. Health Informatics 29(6): 4388-4400 (2025) - [j39]Shuo Yu, Huafei Huang, Yanming Shen, Pengfei Wang, Qiang Zhang, Ke Sun, Honglong Chen:
Formulating and Representing Multiagent Systems With Hypergraphs. IEEE Trans. Neural Networks Learn. Syst. 36(3): 4599-4613 (2025) - [j38]Shuo Yu, Yicong Li, Shuo Wang, Tao Tang, Qiang Zhang, Jingjing Zhou, Ivan Lee, Feng Xia:
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems. ACM Trans. Inf. Syst. 43(6): 149:1-149:29 (2025) - [c40]Liping Chen, Guangqing Bai, Zhuoyang Han, Jing Ren, Mujie Liu, Tao Tang, Shuo Yu, Ivan Lee:
Personalized Federated Graph Learning for Heterogeneous Incomplete EHRs. AI (2) 2025: 347-358 - [c39]Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia:
Factor Graph-based Interpretable Neural Networks. ICLR 2025 - [c38]Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin:
Biologically Plausible Brain Graph Transformer. ICLR 2025 - [c37]Shagufta Abid, Dongyu Zhang, Ahsan Shehzad, Jing Ren, Shuo Yu, Hongfei Lin, Feng Xia:
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer's Disease Detection. IJCAI 2025: 9131-9139 - [c36]Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia:
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. WWW (Companion Volume) 2025: 3068-3071 - [i32]Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia:
Long-range Brain Graph Transformer. CoRR abs/2501.01100 (2025) - [i31]Shuo Yu, Yingbo Wang, Ruolin Li, Guchun Liu, Yanming Shen, Shaoxiong Ji, Bowen Li, Fengling Han, Xiuzhen Zhang, Feng Xia:
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning. CoRR abs/2501.01124 (2025) - [i30]Ciyuan Peng, Yuelong Huang, Qichao Dong, Shuo Yu, Feng Xia, Chengqi Zhang, Yaochu Jin:
Biologically Plausible Brain Graph Transformer. CoRR abs/2502.08958 (2025) - [i29]Yicong Li, Kuanjiu Zhou, Shuo Yu, Qiang Zhang, Renqiang Luo, Xiaodong Li, Feng Xia:
Factor Graph-based Interpretable Neural Networks. CoRR abs/2502.14572 (2025) - [i28]Feng Ding, Tingting Wang, Yupeng Gao, Shuo Yu, Jing Ren, Feng Xia:
HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs. CoRR abs/2505.07509 (2025) - [i27]Feng Xia, Ciyuan Peng, Jing Ren, Falih Gozi Febrinanto, Renqiang Luo, Vidya Saikrishna, Shuo Yu, Xiangjie Kong:
Graph Learning. CoRR abs/2507.05636 (2025) - [i26]Zhikui Chen, Muhammad Zeeshan Haider, Naiwen Luo, Shuo Yu, Xu Yuan, Yaochen Zhang, Tayyaba Noreen:
Reputation-based partition scheme for IoT security. CoRR abs/2508.03981 (2025) - [i25]Ciyuan Peng, Nguyen Linh Dan Le, Shan Jin, Dexuan Ding, Shuo Yu, Feng Xia:
Brain PathoGraph Learning. CoRR abs/2509.21742 (2025) - 2024
- [j37]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): 21-29 (2024) - [j36]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): 10384-10397 (2024) - [j35]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): 3709-3721 (2024) - [j34]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): 717-730 (2024) - [j33]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): 240-253 (2024) - [j32]Tao Tang, Zhuoyang Han, Shuo Yu, Adil M. Bagirov, Qiang Zhang:
Fuzzy Multiview Graph Learning on Sparse Electronic Health Records. IEEE Trans. Fuzzy Syst. 32(10): 5520-5532 (2024) - [j31]Shuo Yu, Feng Xia, Honglong Chen, Ivan Lee, Lianhua Chi, Hanghang Tong:
Heterogeneous Network Motif Coding, Counting, and Profiling. ACM Trans. Knowl. Discov. Data 18(9): 231:1-231:21 (2024) - [j30]Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das:
Personalized Federated Graph Learning on Non-IID Electronic Health Records. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11843-11856 (2024) - [c35]Tingting Wang, Yuxuan Tang, Ruolin Li, Duo Yu, Bowen Feng, Feng Ding, Shuo Yu, Yanming Shen:
SPR: A Similar Projection Revisor for Complex Logical Reasoning over Knowledge Graphs. WISA 2024: 78-90 - [c34]Shuai Xu, Jianqiu Xu, Shuo Yu, Bohan Li:
Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages. CIKM 2024: 2712-2721 - [c33]Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia:
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR 2024 - [c32]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. IJCAI 2024: 449-457 - [c31]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: 2072-2081 - [c30]Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia:
Long-range Brain Graph Transformer. NeurIPS 2024 - [c29]Yuting Ma, Shuo Yu, Yanming Shen:
Pretraining Molecules with Explicit Substructure Information. SDM 2024: 517-525 - [i24]Lei Liu, Shuo Yu, Runze Wang, Zhenxun Ma, Yanming Shen:
How Can Large Language Models Understand Spatial-Temporal Data? CoRR abs/2401.14192 (2024) - [i23]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. CoRR abs/2402.03732 (2024) - [i22]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. CoRR abs/2404.17169 (2024) - [i21]Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia:
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks. CoRR abs/2405.17034 (2024) - [i20]Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia:
Higher-order Structure Based Anomaly Detection on Attributed Networks. CoRR abs/2406.04690 (2024) - [i19]Zhen Cai, Tao Tang, Shuo Yu, Yunpeng Xiao, Feng Xia:
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems. CoRR abs/2406.04702 (2024) - [i18]Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia:
Collaborative Team Recognition: A Core Plus Extension Structure. CoRR abs/2406.06617 (2024) - [i17]Shuo Yu, Feng Xia, Yueru Wang, Shihao Li, Falih Febrinanto, Madhu Chetty:
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting. CoRR abs/2406.06618 (2024) - [i16]Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor:
Graph Transformers: A Survey. CoRR abs/2407.09777 (2024) - 2023
- [j29]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) - [j28]Hayat Dino Bedru, Chen Zhang, Feng Xie, Shuo Yu, Iftikhar Hussain:
CLARA: citation and similarity-based author ranking. Scientometrics 128(2): 1091-1117 (2023) - [j27]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): 1083-1094 (2023) - [j26]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): 36:1-36:25 (2023) - [c28]Shan Jin, Zhikui Chen, Shuo Yu, Muhammad Altaf, Zhenchao Ma:
Self-Augmentation Graph Contrastive Learning for Multi-view Attribute Graph Clustering. AMC-SME 2023: 51-56 - [c27]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: 400-407 - [c26]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: 349-367 - [c25]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) 2023: 1443-1452 - [c24]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: 2143-2150 - [c23]Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia:
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN 2023: 1-9 - [c22]Mourad Lablack, Shuo Yu, Shuai Xu, Yanming Shen:
Long-sequence model for traffic forecasting in suboptimal situation. MobiArch 2023: 25-30 - [c21]Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia:
Web of Conferences: A Conference Knowledge Graph. WSDM 2023: 1172-1175 - [i15]Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023) - [i14]Feng Xia, Xin Chen, Shuo Yu, Mingliang Hou, Mujie Liu, Linlin You:
Coupled Attention Networks for Multivariate Time Series Anomaly Detection. CoRR abs/2306.07114 (2023) - 2022
- [j25]Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia:
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022) - [j24]Shuo Yu, Fayez Alqahtani, Amr Tolba, Ivan Lee, Tao Jia, Feng Xia:
Collaborative Team Recognition: A Core Plus Extension Structure. J. Informetrics 16(4): 101346 (2022) - [j23]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): 1432-1445 (2022) - [j22]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): 990-1005 (2022) - [c20]Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia:
Abnormal Entity-Aware Knowledge Graph Completion. ICDM (Workshops) 2022: 891-900 - [c19]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: 275-284 - [c18]Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia:
Graph Augmentation Learning. WWW (Companion Volume) 2022: 1063-1072 - [i13]Shuo Yu, Qing Qing, Chen Zhang, Ahsan Shehzad, Giles Oatley, Feng Xia:
Data-Driven Decision Making in COVID-19 Response: A Survey. CoRR abs/2202.11435 (2022) - [i12]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i11]Shuo Yu, Huafei Huang, Minh N. Dao, Feng Xia:
Graph Augmentation Learning. CoRR abs/2203.09020 (2022) - [i10]Feng Xia, Shuo Yu, Chengfei Liu, Ivan Lee:
CHIEF: Clustering with Higher-order Motifs in Big Networks. CoRR abs/2204.02656 (2022) - [i9]Shuo Yu, Feng Xia, Chen Zhang, Kathleen Keogh, Honglong Chen:
Familiarity-based Collaborative Team Recognition in Academic Social Networks. CoRR abs/2204.02667 (2022) - [i8]Shuo Yu, Feng Xia, Yuchen Sun, Tao Tang, Xiaoran Yan, Ivan Lee:
Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions. CoRR abs/2204.02676 (2022) - 2021
- [j21]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): 23-30 (2021) - [j20]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. IEEE Trans. Artif. Intell. 2(2): 109-127 (2021) - [j19]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): 134-147 (2021) - [j18]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): 1016-1029 (2021) - [j17]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): 1417-1426 (2021) - [c17]Xu Yuan, Na Zhou, Shuo Yu, Huafei Huang, Zhikui Chen, Feng Xia:
Higher-order Structure Based Anomaly Detection on Attributed Networks. IEEE BigData 2021: 2691-2700 - [c16]Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen:
Fake Reviewer Group Detection in Online Review Systems. ICDM (Workshops) 2021: 935-942 - [i7]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. CoRR abs/2103.04344 (2021) - [i6]Feng Xia, Ke Sun, Shuo Yu, Abdul Aziz, Liangtian Wan, Shirui Pan, Huan Liu:
Graph Learning: A Survey. CoRR abs/2105.00696 (2021) - [i5]Chen Cao, Shihao Li, Shuo Yu, Zhikui Chen:
Fake Reviewer Group Detection in Online Review Systems. CoRR abs/2112.06403 (2021) - 2020
- [j16]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: 106703 (2020) - [j15]Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia:
Big networks: A survey. Comput. Sci. Rev. 37: 100247 (2020) - [j14]Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia:
Motif discovery in networks: A survey. Comput. Sci. Rev. 37: 100267 (2020) - [c15]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. IEEE BigData 2020: 2987-2994 - [c14]Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee:
OFFER: A Motif Dimensional Framework for Network Representation Learning. CIKM 2020: 3349-3352 - [c13]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. JCDL 2020: 77-86 - [i4]Hayat Dino Bedru, Shuo Yu, Xinru Xiao, Da Zhang, Liangtian Wan, He Guo, Feng Xia:
Big Networks: A Survey. CoRR abs/2008.03638 (2020) - [i3]Jin Xu, Shuo Yu, Ke Sun, Jing Ren, Ivan Lee, Shirui Pan, Feng Xia:
Multivariate Relations Aggregation Learning in Social Networks. CoRR abs/2008.03654 (2020) - [i2]Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee:
OFFER: A Motif Dimensional Framework for Network Representation Learning. CoRR abs/2008.12010 (2020)
2010 – 2019
- 2019
- [j13]Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu:
A Survey of Measures for Network Motifs. IEEE Access 7: 106576-106587 (2019) - [j12]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: 178675-178684 (2019) - [j11]Shuo Yu, Jin Xu, Chen Zhang, Feng Xia, Zafer Al-Makhadmeh, Amr Tolba:
Motifs in Big Networks: Methods and Applications. IEEE Access 7: 183322-183338 (2019) - [j10]Shuo Yu, Hayat Dino Bedru, Ivan Lee, Feng Xia:
Science of Scientific Team Science: A survey. Comput. Sci. Rev. 31: 72-83 (2019) - [j9]Xiangjie Kong, Yajie Shi, Shuo Yu, Jiaying Liu, Feng Xia:
Academic social networks: Modeling, analysis, mining and applications. J. Netw. Comput. Appl. 132: 86-103 (2019) - [j8]Xiangjie Kong, Mengyi Mao, Huizhen Jiang, Shuo Yu, Liangtian Wan:
How does collaboration affect researchers' positions in co-authorship networks? J. Informetrics 13(3): 887-900 (2019) - [j7]Yufan Feng, Shuo Yu, Kaiyuan Zhang, Xiangli Li, Zhaolong Ning:
COMICS: a community property-based triangle motif clustering scheme. PeerJ Comput. Sci. 5: e180 (2019) - [j6]Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu:
Skill ranking of researchers via hypergraph. PeerJ Comput. Sci. 5: e182 (2019) - [j5]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): 1083-1094 (2019) - [j4]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): 2749-2770 (2019) - [c12]Kaiyuan Zhang, Shuo Yu, Liangtian Wan, Jianxin Li, Feng Xia:
Predictive Representation Learning in Motif-Based Graph Networks. Australasian Conference on Artificial Intelligence 2019: 177-188 - [c11]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: 305-308 - [i1]Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu:
Skill ranking of researchers via hypergraph. PeerJ Prepr. 7: e27480 (2019) - 2018
- [j3]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) - [j2]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: 38-47 (2018) - [c10]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: 951-956 - 2017
- [j1]Wei Wang, Shuo Yu, Teshome Megersa Bekele, Xiangjie Kong, Feng Xia:
Scientific collaboration patterns vary with scholars' academic ages. Scientometrics 112(1): 329-343 (2017) - [c9]Zhaolong Ning, Lei Liu, Shuo Yu, Feng Xia:
Detection of Four-Node Motif in Complex Networks. COMPLEX NETWORKS 2017: 453-462 - [c8]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: 925-932 - [c7]Lu Li, Wei Wang, Shuo Yu, Liangtian Wan, Zhenzhen Xu, Xiangjie Kong:
A Modified Node2vec Method for Disappearing Link Prediction. DASC/PiCom/DataCom/CyberSciTech 2017: 1232-1235 - [c6]Wei Wang, Zixin Cui, Tong Gao, Shuo Yu, Xiangjie Kong, Feng Xia:
Is Scientific Collaboration Sustainability Predictable? WWW (Companion Volume) 2017: 853-854 - 2016
- [c5]Wei Wang, Jiaying Liu, Shuo Yu, Chenxin Zhang, Zhenzhen Xu, Feng Xia:
Mining Advisor-Advisee Relationships in Scholarly Big Data: A Deep Learning Approach. JCDL 2016: 209-210 - [c4]Jun Zhang, Zhaolong Ning, Xiaomei Bai, Wei Wang, Shuo Yu, Feng Xia:
Who are the Rising Stars in Academia? JCDL 2016: 211-212 - [c3]Xiaoyan Su, Wei Wang, Shuo Yu, Chenxin Zhang, Teshome Megersa Bekele, Feng Xia:
Can Academic Conferences Promote Research Collaboration? JCDL 2016: 231-232 - [c2]Jun Zhang, Feng Xia, Wei Wang, Xiaomei Bai, Shuo Yu, Teshome Megersa Bekele, Zhong Peng:
CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars. WWW (Companion Volume) 2016: 395-400 - 2015
- [c1]Haifeng Liu, Zhuo Yang, Ivan Lee, Zhenzhen Xu, Shuo Yu, Feng Xia:
CAR: Incorporating Filtered Citation Relations for Scientific Article Recommendation. SmartCity 2015: 513-518
Coauthor Index
[j45] [j44] [j42] [j41] [j40] [j38] [c39] [c38] [c37] [c36] [i32] [i31] [i30] [i29] [i28] [i27] [i25] [j37] [j36] [j35] [j34] [j33] [j31] [c33] [c32] [c31] [c30] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j27] [j26] [c25] [c23] [c21] [i15] [i14] [j25] [j24] [j23] [j22] [c20] [c18] [i13] [i12] [i11] [i10] [i9] [i8] [j21] [j20] [j19] [j18] [c17] [i7] [i6] [j15] [j14] [c15] [c14] [c13] [i4] [i3] [i2] [j13] [j12] [j11] [j10] [j9] [j5] [j4] [c12] [c11] [j2] [c10] [j1] [c9] [c8] [c6] [c5] [c4] [c3] [c2] [c1]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-01-17 01:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
