Bo Xu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 37

Top Topics

Protein Complexes

Data Mining And Information Retrieval

Gene Prediction

Top Venues

Comput. Sci. Rev.

Publications

Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
Attributed Graph Force Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Bo Xu, Jinpeng Wang, Zhehuan Zhao, Hongfei Lin, Feng Xia
Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security. IEEE Trans. Consumer Electron. 70 (1) (2024)
Jiaying Liu, Feng Xia, Jing Ren, Bo Xu, Guansong Pang, Lianhua Chi
MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Bo Xu, Bowen Chen, Tianyu Zhang, Jiaying Liu, Chunke Liao, Zhehuan Zhao
Mining Multivariate Implicit Relationships in Academic Networks. WWW (Companion Volume) (2022)
Taosong Fang, Bo Xu, Linlin Zong
Emotion-Enhanced Multi-Modal Persuasive Techniques Detection Using Split Features. FSDM (2022)
Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia
Network Representation Learning: From Traditional Feature Learning to Deep Learning. CoRR (2021)
Shiyu Han, Jiaying Liu, Bo Xu, Lianhua Chi, Ching-Hsien Hsu
Network Completion with Auto-regressive Graph Generative Model. WI/IAT (Workshop/Special Session) (2021)
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Nana Yaw Asabere, Bo Xu, Amevi Acakpovi, Nakema Deonauth
SARVE-2: Exploiting Social Venue Recommendation in the Context of Smart Conferences. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu
VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
DINE: A Framework for Deep Incomplete Network Embedding. CoRR (2020)
Shuo Yu, Yufan Feng, Da Zhang, Hayat Dino Bedru, Bo Xu, Feng Xia
Motif discovery in networks: A survey. Comput. Sci. Rev. 37 (2020)
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Trans. Comput. Soc. Syst. 7 (2) (2020)
Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR (2020)
Zengyou He, Can Zhao, Hao Liang, Bo Xu, Quan Zou
Protein Complexes Identification with Family-Wise Error Rate Control. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (6) (2020)
Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
Reference-Based Sequence Classification. IEEE Access 8 (2020)
Ke Sun, Jiaying Liu, Shuo Yu, Bo Xu, Feng Xia
Graph Force Learning. IEEE BigData (2020)
Ke Sun, Lei Wang, Bo Xu, Wenhong Zhao, Shyh Wei Teng, Feng Xia
Network Representation Learning: From Traditional Feature Learning to Deep Learning. IEEE Access 8 (2020)
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia
MODEL: Motif-based Deep Feature Learning for Link Prediction. CoRR (2020)
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) (2019)
Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu
Protein Complexes Detection Based on Deep Neural Network. PAKDD (Workshops) (2019)
Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Hongfei Lin, Jian Wang, Bo Xu
Detection of protein complexes from multiple protein interaction networks using graph embedding. Artif. Intell. Medicine 96 (2019)
Zengyou He, Guangyao Xu, Chaohua Sheng, Bo Xu, Quan Zou
Reference-Based Sequence Classification. CoRR (2019)
Ke Hou, Jiaying Liu, Yin Peng, Bo Xu, Ivan Lee, Feng Xia
DINE: A Framework for Deep Incomplete Network Embedding. Australasian Conference on Artificial Intelligence (2019)
Chi Lin, Yu Sun, Kai Wang, Zhunyue Chen, Bo Xu, Guowei Wu
Double warning thresholds for preemptive charging scheduling in Wireless Rechargeable Sensor Networks. Comput. Networks 148 (2019)
Feng Ding, Xiangjie Kong, Zhehuan Zhao, Feng Xia, Anfu Liu, Chenxu Bai, Bo Xu, Xiaoxia Liu, Shengtian Sang, Hongfei Lin, Zhihao Yang, Jian Wang
Disease Gene Prediction Based on Heterogeneous Probabilistic Hypergraph Ranking. BIBM (2019)
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
Skill ranking of researchers via hypergraph. PeerJ Comput. Sci. 5 (2019)
Xiangjie Kong, Lei Liu, Shuo Yu, Andong Yang, Xiaomei Bai, Bo Xu
Skill ranking of researchers via hypergraph. PeerJ Prepr. 7 (2019)
Feng Xia, Haoran Wei, Shuo Yu, Da Zhang, Bo Xu
A Survey of Measures for Network Motifs. IEEE Access 7 (2019)
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia
Data Mining and Information Retrieval in the 21st century: A bibliographic review. Comput. Sci. Rev. 34 (2019)
Hao Liang, Feiyang Gu, Chaohua Sheng, Qiong Duan, Bo Tian, Jun Wu, Bo Xu, Zengyou He
PCM: A Pairwise Correlation Mining Package for Biological Network Inference. ICIC (2) (2018)
Bo Xu, Kun Li, Wei Zheng, Xiaoxia Liu, Yijia Zhang, Zhehuan Zhao, Zengyou He
Protein complexes identification based on go attributed network embedding. BMC Bioinform. 19 (1) (2018)
Bo Xu, Lu Li, Jiaying Liu, Liangtian Wan, Xiangjie Kong, Feng Xia
Disappearing Link Prediction in Scientific Collaboration Networks. IEEE Access 6 (2018)
Bo Xu, Xiufeng Shi, Zhehuan Zhao, Wei Zheng
Leveraging Biomedical Resources in Bi-LSTM for Drug-Drug Interaction Extraction. IEEE Access 6 (2018)
Jiaying Liu, Tao Tang, Wei Wang, Bo Xu, Xiangjie Kong, Feng Xia
A Survey of Scholarly Data Visualization. IEEE Access 6 (2018)
Jun Zhang, Bo Xu, Jiaying Liu, Amr Tolba, Zafer Al-Makhadmeh, Feng Xia
PePSI: Personalized Prediction of Scholars' Impact in Heterogeneous Temporal Academic Networks. IEEE Access 6 (2018)
Xiaoxia Liu, Zhihao Yang, Shengtian Sang, Ziwei Zhou, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang, Bo Xu
Identifying protein complexes based on node embeddings obtained from protein-protein interaction networks. BMC Bioinform. 19 (1) (2018)
Chi Lin, Kun Liu, Bo Xu, Jing Deng, Chang-Wu Yu, Guowei Wu
VCLT: An Accurate Trajectory Tracking Attack Based on Crowdsourcing in VANETs. ICA3PP (3) (2015)
Bo Xu, Hongfei Lin, Zhihao Yang, Kavishwar B. Wagholikar, Hongfang Liu
Classifying protein complexes from candidate subgraphs using fuzzy machine learning model. BIBM Workshops (2012)
Bo Xu, Hongfei Lin, Zhihao Yang
Ontology integration to identify protein complex in protein interaction networks. BIBM (2010)
Bo Xu, Hongfei Lin, Baoyan Liu
Study on question answering system for biomedical domain. GrC (2009)