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2020 – today
- 2025
[j20]Chaobo He
, Hao Cheng, Jiaqi Yang, Yong Tang, Quanlong Guan:
Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning. Neural Networks 182: 106897 (2025)- [j19]Quanlong Guan, Xinghe Cheng, Fang Xiao, Zhuzhou Li, Chaobo He, Liangda Fang, Guanliang Chen, Zhiguo Gong, Weiqi Luo:
Explainable exercise recommendation with knowledge graph. Neural Networks 183: 106954 (2025) - 2024
- [j18]Junwei Cheng, Chaobo He, Kunlin Han, Gangbin Chen, Wanying Liang, Yong Tang:
Unveiling community structures in static networks through graph variational Bayes with evolution information. Neurocomputing 576: 127349 (2024) - [j17]Chaobo He, Junwei Cheng, Guohua Chen, Quanlong Guan, Xiang Fei, Yong Tang:
Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network. Inf. Fusion 105: 102254 (2024) - [j16]Junwei Cheng, Yong Tang, Chaobo He, Kunlin Han, Ying Li, Jinhui Wei:
Community detection in attributed networks via adaptive deep nonnegative matrix factorization. Neural Comput. Appl. 36(2): 897-912 (2024) - [j15]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11436-11447 (2024) - [j14]Hao Cheng, Chaobo He, Hai Liu, Xingyu Liu, Peng Yu, Qimai Chen:
Community Detection Based on Directed Weighted Signed Graph Convolutional Networks. IEEE Trans. Netw. Sci. Eng. 11(2): 1642-1654 (2024) - [c28]Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan:
Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. ACM Multimedia 2024: 6959-6968 - [c27]Xinran Chen, Chaobo He, Quanlong Guan:
Boost Social Recommendation via Adaptive Denoising Network. WWW (Companion Volume) 2024: 577-580 - [c26]Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen:
Generating Privacy-preserving Educational Data Records with Diffusion Model. WWW (Companion Volume) 2024: 806-809 - 2023
- [j13]Chaobo He, Junwei Cheng, Xiang Fei, Yu Weng, Yulong Zheng, Yong Tang:
Community preserving adaptive graph convolutional networks for link prediction in attributed networks. Knowl. Based Syst. 272: 110589 (2023) - [j12]Ronghua Lin, Feiyi Tang, Chaobo He, Zhengyang Wu, Chengzhe Yuan, Yong Tang:
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning. World Wide Web (WWW) 26(5): 2471-2493 (2023) - [c25]Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang:
A Deep Conditional Generative Approach for Constrained Community Detection. CIKM 2023: 3928-3932 - [c24]Weisheng Li, Wentao Chen, Zhihong Pan, Yuanfei Deng, Yong Tang, Chaobo He:
Network Embedding with Enhanced Feature Representations for Link Prediction. CSCWD 2023: 1324-1329 - [c23]Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He, Qimai Chen, Quanlong Guan:
Self-supervised community detection in multiplex networks with graph convolutional autoencoder. CSCWD 2023: 1378-1383 - [c22]Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang:
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. KSEM (4) 2023: 291-303 - [c21]Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang:
How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. SIGIR 2023: 2057-2061 - [c20]Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang:
Multiple Topics Community Detection in Attributed Networks. SIGIR 2023: 2199-2203 - 2022
- [j11]Chaobo He, Yulong Zheng, Junwei Cheng, Yong Tang, Guohua Chen, Hai Liu:
Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder. Inf. Sci. 608: 1464-1479 (2022) - [j10]Chaobo He, Yulong Zheng, Xiang Fei, Hanchao Li, Zeng Hu, Yong Tang:
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder. IEEE Trans. Big Data 8(4): 968-981 (2022) - [j9]Chaobo He, Xiang Fei, Qiwei Cheng, Hanchao Li, Zeng Hu, Yong Tang:
A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization. IEEE Trans. Comput. Soc. Syst. 9(2): 440-457 (2022) - [c19]Yu Weng, Wenguang Yu, Ronghua Lin, Yong Tang, Chaobo He:
ScholarRec: A User Recommendation System for Academic Social Network. ChineseCSCW (1) 2022: 28-41 - [c18]Junwei Cheng, Weisheng Li, Kunlin Han, Yong Tang, Chaobo He, Nini Zhang:
SARNMF: A Community Detection Method for Attributed Networks. CSCWD 2022: 879-884 - [i1]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning. CoRR abs/2209.04187 (2022) - 2021
- [j8]Chaobo He, Hai Liu, Yong Tang, Shuangyin Liu, Xiang Fei, Qiwei Cheng, Hanchao Li:
Similarity preserving overlapping community detection in signed networks. Future Gener. Comput. Syst. 116: 275-290 (2021) - [c17]Ronghua Lin, Yong Tang, Chengzhe Yuan, Chaobo He, Weisheng Li:
SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information. ChineseCSCW (2) 2021: 340-351 - [c16]Qing Xu, Lunjie Qiu, Ronghua Lin, Yong Tang, Chaobo He, Chengzhe Yuan:
An Improved Community Detection Algorithm via Fusing Topology and Attribute Information. CSCWD 2021: 1069-1074 - [c15]Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He:
From Music Information Retrieval to Stock Market Analysis: Theoretical Discussion on Feature Extraction Transfer. ICEBE 2021: 54-58 - 2020
- [j7]Chaobo He, Hai Liu, Yong Tang, Xiang Fei, Hanchao Li, Qiong Zhang:
Network Embedding Using Deep Robust Nonnegative Matrix Factorization. IEEE Access 8: 85441-85453 (2020) - [c14]Weisheng Li, Chao Chang, Chaobo He, Zhengyang Wu, Jiongsheng Guo, Bo Peng:
Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes. ChineseCSCW 2020: 456-468 - [c13]Yue Wang, Qimai Chen, Chaobo He, Hai Liu, Xiyu Wu:
Knowledge Base Question Answering System Based on Knowledge Graph Representation Learning. ICIAI 2020: 170-179
2010 – 2019
- 2019
- [j6]Chaobo He, Qiong Zhang, Yong Tang, Shuangyin Liu, Hai Liu:
Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization. IEEE Access 7: 92732-92744 (2019) - [j5]Chaobo He, Shuangyin Liu, Lei Zhang, Jianhua Zheng:
A fuzzy clustering based method for attributed graph partitioning. J. Ambient Intell. Humaniz. Comput. 10(9): 3399-3407 (2019) - [c12]Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He:
Theoretical Aspects of Music Definition Language and Music Manipulation Language. ICEBE 2019: 199-207 - 2018
- [j4]Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Shuangyin Liu:
Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure. J. Supercomput. 74(10): 5601-5624 (2018) - [c11]Hanchao Li, Hongyu You, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He:
Automatic Note Recognition and Generation of MDL and MML using FFT. ICEBE 2018: 195-200 - 2017
- [j3]Chaobo He, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang, Jia Zhu:
A topic community-based method for friend recommendation in large-scale online social networks. Concurr. Comput. Pract. Exp. 29(6) (2017) - [c10]Chaobo He, Xiang Fei, Hanchao Li, Hai Liu, Yong Tang, Qimai Chen:
Community Discovery in Large-Scale Complex Networks Using Distributed SimRank Nonnegative Matrix Factorization. CBD 2017: 226-231 - [c9]Chengzhe Yuan, Dingding Li, Jia Zhu, Yong Tang, Shahbaz Hassan Wasti, Chaobo He, Hai Liu, Ronghua Lin:
Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure. CollaborateCom 2017: 680-689 - [c8]Chengzhou Fu, Weiquan Zeng, Rui Ding, Chengjie Mao, Chaobo He, Guohua Chen:
Social Network Analysis of China Computer Federation Co-author Network. HCC 2017: 422-432 - [c7]Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Qimai Chen:
A Multi-View Clustering Method for Community Discovery Integrating Links and Tags. ICEBE 2017: 23-30 - [c6]Hanchao Li, David Yee Fan Zuo, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He:
Music Definition Language & Music Manipulation Language: A Coding Scheme for Music Representation and Storage. ICEBE 2017: 232-237 - [c5]Hanchao Li, Zhouhemu Tang, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He:
A Survey of Audio MIR Systems, Symbolic MIR Systems and a Music Definition Language Demo-System. ICEBE 2017: 275-281 - 2016
- [j2]Chengzhou Fu, Yong Tang, Chaobo He, Jinling Wang, Chengzhe Yuan:
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). 计算机科学 43(9): 52-56 (2016) - [c4]Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang:
SCHOLAT: An Innovative Academic Information Service Platform. ADC 2016: 453-456 - [c3]Hanchao Li, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He:
Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement. ICEBE 2016: 9-16 - 2015
- [j1]Chaobo He, Zhenxiong Yang, Shaowen Hong, Yong Tang, Guohua Chen, Kai Zheng:
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). 计算机科学 42(2): 198-203 (2015) - [c2]Chaobo He, Hanchao Li, Xiang Fei, Yong Tang, Jia Zhu:
A Topic Community-Based Method for Friend Recommendation in Online Social Networks via Joint Nonnegative Matrix Factorization. CBD 2015: 28-35 - 2012
- [c1]Guohua Chen, Yong Tang, Feiyi Tang, Shijin Ding, Chaobo He:
Effect on Generalization of Using Relational Information in List-Wise Algorithms. ICPCA/SWS 2012: 108-121
Coauthor Index
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