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Shuo Yu
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2020 – today
- 2024
- [j47]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) - [j46]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) - [j45]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): 104027 (2024) - [j44]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) - [j43]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): 1-15 (2024) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [c43]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 - [c42]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: 1-18 - [c41]Ciyuan Peng, Mujie Liu, Chenxuan Meng, Shuo Yu, Feng Xia:
Adaptive Brain Network Augmentation Based on Group-aware Graph Learning. Tiny Papers @ ICLR 2024 - [c40]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 - [c39]Yuting Ma, Shuo Yu, Yanming Shen:
Pretraining Molecules with Explicit Substructure Information. SDM 2024: 517-525 - [i27]Lei Liu, Shuo Yu, Runze Wang, Zhenxun Ma, Yanming Shen:
How Can Large Language Models Understand Spatial-Temporal Data? CoRR abs/2401.14192 (2024) - [i26]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin M. Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. CoRR abs/2402.03732 (2024) - [i25]Renqiang Luo, Huafei Huang, Shuo Yu, Xiuzhen Zhang, Feng Xia:
FairGT: A Fairness-aware Graph Transformer. CoRR abs/2404.17169 (2024) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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 abs/2406.14090 (2024) - [i18]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 abs/2407.05268 (2024) - [i17]Ahsan Shehzad, Feng Xia, Shagufta Abid, Ciyuan Peng, Shuo Yu, Dongyu Zhang, Karin Verspoor:
Graph Transformers: A Survey. CoRR abs/2407.09777 (2024) - 2023
- [j38]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) - [j37]Hayat Dino Bedru, Chen Zhang, Feng Xie, Shuo Yu, Iftikhar Hussain:
CLARA: citation and similarity-based author ranking. Scientometrics 128(2): 1091-1117 (2023) - [j36]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) - [j35]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) - [c38]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 - [c37]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 - [c36]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 - [c35]Huiling Tu, Shuo Yu, Vidya Saikrishna, Feng Xia, Karin Verspoor:
Deep Outdated Fact Detection in Knowledge Graphs. ICDM (Workshops) 2023: 1443-1452 - [c34]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: 303-309 - [c33]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 - [c32]Feng Ding, Naiwen Luo, Shuo Yu, Tingting Wang, Feng Xia:
MEGA: Explaining Graph Neural Networks with Network Motifs. IJCNN 2023: 1-9 - [c31]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD 2023: 5476-5486 - [c30]Mourad Lablack, Shuo Yu, Shuai Xu, Yanming Shen:
Long-sequence model for traffic forecasting in suboptimal situation. MobiArch 2023: 25-30 - [c29]Shuo Yu, Ciyuan Peng, Chengchuan Xu, Chen Zhang, Feng Xia:
Web of Conferences: A Conference Knowledge Graph. WSDM 2023: 1172-1175 - [i16]Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023) - [i15]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) - [i14]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR abs/2306.12964 (2023) - 2022
- [j34]Shuo Yu, Jing Ren, Shihao Li, Mehdi Naseriparsa, Feng Xia:
Graph Learning for Fake Review Detection. Frontiers Artif. Intell. 5 (2022) - [j33]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) - [j32]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): 1764 (2022) - [j31]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) - [j30]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: 1-11 (2022) - [j29]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) - [c28]Ke Sun, Shuo Yu, Ciyuan Peng, Xiang Li, Mehdi Naseriparsa, Feng Xia:
Abnormal Entity-Aware Knowledge Graph Completion. ICDM (Workshops) 2022: 891-900 - [c27]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 - [c26]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
- [j28]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) - [j27]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): 1095-1121 (2021) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [c25]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 - [c24]Shuo Yu:
Motion Sensor-Based Health Profiling for Parkinson's Disease: A Deep Learning Approach. ICIS 2021 - [c23]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
- [j22]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) - [j21]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) - [j20]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) - [c22]Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia:
Graph Force Learning. IEEE BigData 2020: 2987-2994 - [c21]Shuo Yu, Feng Xia, Jin Xu, Zhikui Chen, Ivan Lee:
OFFER: A Motif Dimensional Framework for Network Representation Learning. CIKM 2020: 3349-3352 - [c20]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
- [j19]Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu:
A Survey of Measures for Network Motifs. IEEE Access 7: 106576-106587 (2019) - [j18]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) - [j17]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) - [j16]Sagar Samtani, Hongyi Zhu, Shuo Yu:
Fear Appeals and Information Security Behaviors: An Empirical Study on Mechanical Turk. AIS Trans. Replication Res. 5: 5 (2019) - [j15]Shuo Yu, Hayat Dino Bedru, Ivan Lee, Feng Xia:
Science of Scientific Team Science: A survey. Comput. Sci. Rev. 31: 72-83 (2019) - [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu:
Skill ranking of researchers via hypergraph. PeerJ Comput. Sci. 5: e182 (2019) - [j9]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) - [j8]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): 16:1-16:22 (2019) - [j7]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) - [c19]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 - [c18]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
- [j6]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): 63-73 (2018) - [j5]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) - [j4]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) - [j3]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): 1847-1853 (2018) - [c17]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 - [c16]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: 174-179 - 2017
- [j2]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) - [j1]Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan:
Resource Allocation Schemes in D2D Communications: Overview, Classification, and Challenges. Wirel. Pers. Commun. 96(1): 303-322 (2017) - [c15]Zhaolong Ning, Lei Liu, Shuo Yu, Feng Xia:
Detection of Four-Node Motif in Complex Networks. COMPLEX NETWORKS 2017: 453-462 - [c14]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 - [c13]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 - [c12]Shuo Yu, Waleed Ejaz, Ling Guan, Alagan Anpalagan:
Resource Allocation for Energy Harvesting Assisted D2D Communications Underlaying OFDMA Cellular Networks. VTC Fall 2017: 1-7 - [c11]Wei Wang, Zixin Cui, Tong Gao, Shuo Yu, Xiangjie Kong, Feng Xia:
Is Scientific Collaboration Sustainability Predictable? WWW (Companion Volume) 2017: 853-854 - 2016
- [c10]Lubaina Maimoon, Joshua Chuang, Hongyi Zhu, Shuo Yu, Kuo-Shiuan Peng, Rahul Prayakarao, Jie Bai, Daniel Dajun Zeng, Shu-Hsing Li, Hsin-Min Lu, Hsinchun Chen:
SilverLink: Developing an International Smart and Connected Home Monitoring System for Senior Care. ICSH 2016: 65-77 - [c9]