Xiaomei Bai

According to our database, Xiaomei Bai authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Physics-Informed Explainable Continual Learning on Graphs.

Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal

IEEE Trans. Neural Networks Learn. Syst., September, 2024

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations.

Yemeng Liu, Jing Ren, Jianshuo Xu, Xiaomei Bai, Roopdeep Kaur, Feng Xia

IEEE Trans. Cogn. Dev. Syst., August, 2024

Anomalous citations detection in academic networks.

Jiaying Liu, Xiaomei Bai, Mengying Wang, Suppawong Tuarob, Feng Xia

Artif. Intell. Rev., 2024

2023

Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks.

Xiaomei Bai, Fuli Zhang, Jiaying Liu, Feng Xia

J. Informetrics, May, 2023

Lost at starting line: Predicting maladaptation of university freshmen based on educational big data.

Teng Guo, Xiaomei Bai, Shihao Zhen, Shagufta Abid, Feng Xia

J. Assoc. Inf. Sci. Technol., January, 2023

2022

Towards Understanding the Analysis, Models, and Future Directions of Sports Social Networks.

Zhongbo Bai, Xiaomei Bai

Complex., 2022

2021

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data.

Feng Xia, Teng Guo, Xiaomei Bai, Adrian Shatte, Zitao Liu, Jiliang Tang

Trans. Data Sci., 2021

Quantifying scientific collaboration impact by exploiting collaboration-citation network.

Xiaomei Bai, Fuli Zhang, Jinzhou Li, Zhong Xu, Zeeshan Patoli, Ivan Lee

Scientometrics, 2021

Educational Anomaly Analytics: Features, Methods, and Challenges.

Teng Guo, Xiaomei Bai, Xue Tian, Selena Firmin, Feng Xia

Frontiers Big Data, 2021

Sports Big Data: Management, Analysis, Applications, and Challenges.

Zhongbo Bai, Xiaomei Bai

Complex., 2021

Educational Big Data: Predictions, Applications and Challenges.

Xiaomei Bai, Fuli Zhang, Jinzhou Li, Teng Guo, Abdul Aziz, Aijing Jin, Feng Xia

Big Data Res., 2021

KIDNet: A Knowledge-Aware Neural Network Model for Academic Performance Prediction.

Tao Tang, Jie Hou, Teng Guo, Xiaomei Bai, Xue Tian, Azadeh Noori Hoshyar

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020

Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations.

Xiaomei Bai, Fuli Zhang, Jie Hou, Ivan Lee, Xiangjie Kong, Amr Tolba, Feng Xia

CoRR, 2020

Measure the Impact of Institution and Paper Via Institution-Citation Network.

Xiaomei Bai, Fuli Zhang, Jin Ni, Lei Shi, Ivan Lee

IEEE Access, 2020

Quantifying Success in Science: An Overview.

Xiaomei Bai, Hanxiao Pan, Jie Hou, Teng Guo, Ivan Lee, Feng Xia

IEEE Access, 2020

Graduate Employment Prediction with Bias.

Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scholarly impact assessment: a survey of citation weighting solutions.

Liwei Cai, Jiahao Tian, Jiaying Liu, Xiaomei Bai, Ivan Lee, Xiangjie Kong, Feng Xia

Scientometrics, 2019

Skill ranking of researchers via hypergraph.

Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu

PeerJ Prepr., 2019

Predicting the citations of scholarly paper.

Xiaomei Bai, Fuli Zhang, Ivan Lee

J. Informetrics, 2019

Author Impact: Evaluations, Predictions, and Challenges.

Fuli Zhang, Xiaomei Bai, Ivan Lee

IEEE Access, 2019

Scientific Paper Recommendation: A Survey.

Xiaomei Bai, Mengyang Wang, Ivan Lee, Zhuo Yang, Xiangjie Kong, Feng Xia

IEEE Access, 2019

The Feasibility Study of Augmented Reality Technology in Early Childhood Education.

Yang Kuang, Xiaomei Bai

Proceedings of the 14th International Conference on Computer Science & Education, 2019

2018

Artificial Intelligence in the 21st Century.

Jiaying Liu, Xiangjie Kong, Feng Xia, Xiaomei Bai, Lei Wang, Qing Qing, Ivan Lee

IEEE Access, 2018

Predicting the Number of Publications for Scholarly Networks.

Xiaomei Bai

IEEE Access, 2018

2017

Exploring time factors in measuring the scientific impact of scholars.

Jun Zhang, Zhaolong Ning, Xiaomei Bai, Xiangjie Kong, Jinmeng Zhou, Feng Xia

Scientometrics, 2017

From triadic closure to conference closure: the role of academic conferences in promoting scientific collaborations.

Wei Wang, Xiaomei Bai, Feng Xia, Teshome Megersa Bekele, Xiaoyan Su, Amr Tolba

Scientometrics, 2017

An Overview on Evaluating and Predicting Scholarly Article Impact.

Xiaomei Bai, Hui Liu, Fuli Zhang, Zhaolong Ning, Xiangjie Kong, Ivan Lee, Feng Xia

Inf., 2017

Implicit Multi-Feature Learning for Dynamic Time Series Prediction of the Impact of Institutions.

Xiaomei Bai, Fuli Zhang, Jie Hou, Feng Xia, Amr Tolba, Elsayed Elashkar

IEEE Access, 2017

The Role of Positive and Negative Citations in Scientific Evaluation.

Xiaomei Bai, Ivan Lee, Zhaolong Ning, Amr Tolba, Feng Xia

IEEE Access, 2017

Evaluating the Impact of Articles with Geographical Distances between Institutions.

Xiaomei Bai, Jie Hou, Hongzhuang Du, Xiangjie Kong, Feng Xia

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016

A Hybrid Mechanism for Innovation Diffusion in Social Networks.

Jun Zhang, Feng Xia, Zhaolong Ning, Teshome Megersa Bekele, Xiaomei Bai, Xiaoyan Su, Jinzhong Wang

IEEE Access, 2016

CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars.

Jun Zhang, Feng Xia, Wei Wang, Xiaomei Bai, Shuo Yu, Teshome Megersa Bekele, Zhong Peng

Proceedings of the 25th International Conference on World Wide Web, 2016

PNCOIRank: Evaluating the Impact of Scholarly Articles with Positive and Negative Citations.

Xiaomei Bai, Jun Zhang, Hai Cui, Zhaolong Ning, Feng Xia

Proceedings of the 25th International Conference on World Wide Web, 2016

Who are the Rising Stars in Academia?

Jun Zhang, Zhaolong Ning, Xiaomei Bai, Wei Wang, Shuo Yu, Feng Xia

Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016

2015

Trust-aware recommendation for improving aggregate diversity.

Haifeng Liu, Xiaomei Bai, Zhuo Yang, Amr Tolba, Feng Xia

New Rev. Hypermedia Multim., 2015

Mining Implicit Correlations between Users with the Same Role for Trust-Aware Recommendation.

Haifeng Liu, Zhuo Yang, Jun Zhang, Xiaomei Bai, Wei Wang, Feng Xia

KSII Trans. Internet Inf. Syst., 2015

Context-Based Collaborative Filtering for Citation Recommendation.

Haifeng Liu, Xiangjie Kong, Xiaomei Bai, Wei Wang, Teshome Megersa Bekele, Feng Xia

IEEE Access, 2015

Collaboration Prediction in Heterogeneous Information Networks.

Shuhong Zhang, Feng Xia, Jun Zhang, Xiaomei Bai, Zhaolong Ning

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015