Bo Xu

According to our database, Bo Xu authored at least 41 papers between 2009 and 2024.

Collaborative distances:

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

2024

Attributed Graph Force Learning.

Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal

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

Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security.

Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia

IEEE Trans. Consumer Electron., February, 2024

Generating Multimodal Metaphorical Features for Meme Understanding.

Bo Xu, Junzhe Zheng, Jiayuan He, Yuxuan Sun, Hongfei Lin, Liang Zhao, Feng Xia

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks.

Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi

ACM Trans. Knowl. Discov. Data, May, 2023

2022

Mining Multivariate Implicit Relationships in Academic Networks.

Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features.

Taosong Fang, Bo Xu, Linlin Zong

Proceedings of the Fuzzy Systems and Data Mining VIII, 2022

2021

Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining.

Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King

IEEE Trans. Knowl. Data Eng., 2021

VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation.

Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu

IEEE Trans. Emerg. Top. Comput., 2021

SARVE-2: Exploiting Social Venue Recommendation in the Context of Smart Conferences.

Nana Yaw Asabere, Bo Xu, Amevi Acakpovi, Nakema Deonauth

IEEE Trans. Emerg. Top. Comput., 2021

Network Completion with Auto-regressive Graph Generative Model.

Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu

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

MODEL: Motif-Based Deep Feature Learning for Link Prediction.

Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia

IEEE Trans. Comput. Soc. Syst., 2020

Protein Complexes Identification with Family-Wise Error Rate Control.

Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Motif discovery in networks: A survey.

Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia

Comput. Sci. Rev., 2020

Network Representation Learning: From Traditional Feature Learning to Deep Learning.

Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia

IEEE Access, 2020

Reference-Based Sequence Classification.

Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou

IEEE Access, 2020

Graph Force Learning.

Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

CSTeller: forecasting scientific collaboration sustainability based on extreme gradient boosting.

Wei Wang, Bo Xu, Jiaying Liu, Zixin Cui, Shuo Yu, Xiangjie Kong, Feng Xia

World Wide Web, 2019

Skill ranking of researchers via hypergraph.

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

PeerJ Prepr., 2019

Data Mining and Information Retrieval in the 21st century: A bibliographic review.

Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia

Comput. Sci. Rev., 2019

Double warning thresholds for preemptive charging scheduling in Wireless Rechargeable Sensor Networks.

Chi Lin, Yu Sun, Kai Wang, Zhunyue Chen, Bo Xu, Guowei Wu

Comput. Networks, 2019

Detection of protein complexes from multiple protein interaction networks using graph embedding.

Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Hongfei Lin, Jian Wang, Bo Xu

Artif. Intell. Medicine, 2019

A Survey of Measures for Network Motifs.

Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu

IEEE Access, 2019

Protein Complexes Detection Based on Deep Neural Network.

Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking.

Feng Ding, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, Xiaoxia Liu, Shengtian Sang, Hongfei Lin, Zhihao Yang, Jian Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

DINE: A Framework for Deep Incomplete Network Embedding.

Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Protein complexes identification based on go attributed network embedding.

Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao, Zengyou He

BMC Bioinform., 2018

Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks.

Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu

BMC Bioinform., 2018

PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks.

Jun Zhang, Bo Xu, Jiaying Liu, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia

IEEE Access, 2018

Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction.

Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng

IEEE Access, 2018

Disappearing Link Prediction in Scientific Collaboration Networks.

Bo Xu, Lu Li, Jiaying Liu, Liangtian Wan, Xiangjie Kong, Feng Xia

IEEE Access, 2018

A Survey of Scholarly Data Visualization.

Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia

IEEE Access, 2018

PCM: A Pairwise Correlation Mining Package for Biological Network Inference.

Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He

Proceedings of the Intelligent Computing Theories and Application, 2018

2015

VCLT: An Accurate Trajectory Tracking Attack Based on Crowdsourcing in VANETs.

Chi Lin, Kun Liu, Bo Xu, Jing Deng, Chang-Wu Yu, Guowei Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014

Graphical lasso quadratic discriminant function and its application to character recognition.

Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi

Neurocomputing, 2014

2012

Maxi-Min discriminant analysis via online learning.

Bo Xu, Kaizhu Huang, Cheng-Lin Liu

Neural Networks, 2012

Classifying protein complexes from candidate subgraphs using fuzzy machine learning model.

Bo Xu, Hongfei Lin, Zhihao Yang, Kavishwar B. Wagholikar, Hongfang Liu

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011

Graphical Lasso Quadratic Discriminant Function for Character Recognition.

Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi

Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010

Dimensionality Reduction by Minimal Distance Maximization.

Bo Xu, Kaizhu Huang, Cheng-Lin Liu

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty.

Bo Xu, Kaizhu Huang, Cheng-Lin Liu

Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

Ontology integration to identify protein complex in protein interaction networks.

Bo Xu, Hongfei Lin, Zhihao Yang

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Study on question answering system for biomedical domain.

Bo Xu, Hongfei Lin, Baoyan Liu

Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009