Chaobo He

According to our database, Chaobo He authored at least 47 papers between 2012 and 2025.

Collaborative distances:

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

2025

Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning.

Chaobo He, Hao Cheng, Jiaqi Yang, Yong Tang, Quanlong Guan

Neural Networks, 2025

2024

Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning.

Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang

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

Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network.

Chaobo He, Junwei Cheng, Guohua Chen, Quanlong Guan, Xiang Fei, Yong Tang

Inf. Fusion, May, 2024

Community detection in attributed networks via adaptive deep nonnegative matrix factorization.

Junwei Cheng, Yong Tang, Chaobo He, Kunlin Han, Ying Li, Jinhui Wei

Neural Comput. Appl., January, 2024

Community Detection Based on Directed Weighted Signed Graph Convolutional Networks.

Hao Cheng, Chaobo He, Hai Liu, Xingyu Liu, Peng Yu, Qimai Chen

IEEE Trans. Netw. Sci. Eng., 2024

Unveiling community structures in static networks through graph variational Bayes with evolution information.

Junwei Cheng, Chaobo He, Kunlin Han, Gangbin Chen, Wanying Liang, Yong Tang

Neurocomputing, 2024

Generating Privacy-preserving Educational Data Records with Diffusion Model.

Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Boost Social Recommendation via Adaptive Denoising Network.

Xinran Chen, Chaobo He, Quanlong Guan

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions.

Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan

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

2023

DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning.

Ronghua Lin, Feiyi Tang, Chaobo He, Zhengyang Wu, Chengzhe Yuan, Yong Tang

World Wide Web (WWW), September, 2023

Community preserving adaptive graph convolutional networks for link prediction in attributed networks.

Chaobo He, Junwei Cheng, Xiang Fei, Yu Weng, Yulong Zheng, Yong Tang

Knowl. Based Syst., 2023

Multiple Topics Community Detection in Attributed Networks.

Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

How Significant Attributes are in the Community Detection of Attributed Multiplex Networks.

Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.

Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang

Proceedings of the Knowledge Science, Engineering and Management, 2023

Self-supervised community detection in multiplex networks with graph convolutional autoencoder.

Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He, Qimai Chen, Quanlong Guan

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Network Embedding with Enhanced Feature Representations for Link Prediction.

Weisheng Li, Wentao Chen, Zhihong Pan, Yuanfei Deng, Yong Tang, Chaobo He

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

A Deep Conditional Generative Approach for Constrained Community Detection.

Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization.

Chaobo He, Xiang Fei, Qiwei Cheng, Hanchao Li, Zeng Hu, Yong Tang

IEEE Trans. Comput. Soc. Syst., 2022

Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder.

Chaobo He, Yulong Zheng, Xiang Fei, Hanchao Li, Zeng Hu, Yong Tang

IEEE Trans. Big Data, 2022

Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder.

Chaobo He, Yulong Zheng, Junwei Cheng, Yong Tang, Guohua Chen, Hai Liu

Inf. Sci., 2022

SARNMF: A Community Detection Method for Attributed Networks.

Junwei Cheng, Weisheng Li, Kunlin Han, Yong Tang, Chaobo He, Nini Zhang

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

ScholarRec: A User Recommendation System for Academic Social Network.

Yu Weng, Wenguang Yu, Ronghua Lin, Yong Tang, Chaobo He

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

Similarity preserving overlapping community detection in signed networks.

Chaobo He, Hai Liu, Yong Tang, Shuangyin Liu, Xiang Fei, Qiwei Cheng, Hanchao Li

Future Gener. Comput. Syst., 2021

From Music Information Retrieval to Stock Market Analysis: Theoretical Discussion on Feature Extraction Transfer.

Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He

Proceedings of the IEEE International Conference on e-Business Engineering, 2021

An Improved Community Detection Algorithm via Fusing Topology and Attribute Information.

Qing Xu, Lunjie Qiu, Ronghua Lin, Yong Tang, Chaobo He, Chengzhe Yuan

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information.

Ronghua Lin, Yong Tang, Chengzhe Yuan, Chaobo He, Weisheng Li

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020

Network Embedding Using Deep Robust Nonnegative Matrix Factorization.

Chaobo He, Hai Liu, Yong Tang, Xiang Fei, Hanchao Li, Qiong Zhang

IEEE Access, 2020

Knowledge Base Question Answering System Based on Knowledge Graph Representation Learning.

Yue Wang, Qimai Chen, Chaobo He, Hai Liu, Xiyu Wu

Proceedings of the ICIAI 2020: The 4th International Conference on Innovation in Artificial Intelligence, 2020

Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes.

Weisheng Li, Chao Chang, Chaobo He, Zhengyang Wu, Jiongsheng Guo, Bo Peng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

2019

A fuzzy clustering based method for attributed graph partitioning.

Chaobo He, Shuangyin Liu, Lei Zhang, Jianhua Zheng

J. Ambient Intell. Humaniz. Comput., 2019

Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization.

Chaobo He, Qiong Zhang, Yong Tang, Shuangyin Liu, Hai Liu

IEEE Access, 2019

Theoretical Aspects of Music Definition Language and Music Manipulation Language.

Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He

Proceedings of the Advances in E-Business Engineering for Ubiquitous Computing, 2019

2018

Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure.

Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Shuangyin Liu

J. Supercomput., 2018

Automatic Note Recognition and Generation of MDL and MML using FFT.

Hanchao Li, Hongyu You, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He

Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017

A topic community-based method for friend recommendation in large-scale online social networks.

Chaobo He, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang, Jia Zhu

Concurr. Comput. Pract. Exp., 2017

Music Definition Language & Music Manipulation Language: A Coding Scheme for Music Representation and Storage.

Hanchao Li, David Yee Fan Zuo, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He

Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

A Survey of Audio MIR Systems, Symbolic MIR Systems and a Music Definition Language Demo-System.

Hanchao Li, Zhouhemu Tang, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He

Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

A Multi-View Clustering Method for Community Discovery Integrating Links and Tags.

Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Qimai Chen

Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

Social Network Analysis of China Computer Federation Co-author Network.

Chengzhou Fu, Weiquan Zeng, Rui Ding, Chengjie Mao, Chaobo He, Guohua Chen

Proceedings of the Human Centered Computing - Third International Conference, 2017

Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure.

Chengzhe Yuan, Dingding Li, Jia Zhu, Yong Tang, Shahbaz Hassan Wasti, Chaobo He, Hai Liu, Ronghua Lin

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Community Discovery in Large-Scale Complex Networks Using Distributed SimRank Nonnegative Matrix Factorization.

Chaobo He, Xiang Fei, Hanchao Li, Hai Liu, Yong Tang, Qimai Chen

Proceedings of the Fifth International Conference on Advanced Cloud and Big Data, 2017

2016

基于标签相似度计算的学术圈构建方法 (Construction Method of Academic Circle Based on Label Similarity Computation).

Chengzhou Fu, Yong Tang, Chaobo He, Jinling Wang, Chengzhe Yuan

计算机科学, 2016

Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement.

Hanchao Li, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He

Proceedings of the 13th IEEE International Conference on e-Business Engineering, 2016

SCHOLAT: An Innovative Academic Information Service Platform.

Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang

Proceedings of the Databases Theory and Applications, 2016

2015

应用随机游走的社交网络用户分类方法 (User Classification Method in Online Social Network Using Random Walks).

Chaobo He, Zhenxiong Yang, Shaowen Hong, Yong Tang, Guohua Chen, Kai Zheng

计算机科学, 2015

A Topic Community-Based Method for Friend Recommendation in Online Social Networks via Joint Nonnegative Matrix Factorization.

Chaobo He, Hanchao Li, Xiang Fei, Yong Tang, Jia Zhu

Proceedings of the Third International Conference on Advanced Cloud and Big Data, 2015

2012

Effect on Generalization of Using Relational Information in List-Wise Algorithms.

Guohua Chen, Yong Tang, Feiyi Tang, Shijin Ding, Chaobo He

Proceedings of the Pervasive Computing and the Networked World, 2012