Effect on Generalization of Using Relational Information in List-Wise Algorithms. - Guohua Chen; Yong Tang 001; Feiyi Tang; Shijin Ding; Chaobo He (ICPCA/SWS, 2012)

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 001; Jia Zhu 003 (CBD, 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 001; Guohua Chen; Kai Zheng 014 (计算机科学, 2015)

SCHOLAT: An Innovative Academic Information Service Platform. - Feiyi Tang; Jia Zhu 003; Chaobo He; Chengzhou Fu; Jing He 004; Yong Tang 001 (ADC, 2016)

Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement. - Hanchao Li; Xiang Fei; Kuo-Ming Chao; Ming Yang 031; Chaobo He (ICEBE, 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 001; Chaobo He; Jinling Wang; Chengzhe Yuan (计算机科学, 2016)

Community Discovery in Large-Scale Complex Networks Using Distributed SimRank Nonnegative Matrix Factorization. - Chaobo He; Xiang Fei; Hanchao Li; Hai Liu 006; Yong Tang 001; Qimai Chen (CBD, 2017)

Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure. - Chengzhe Yuan; Dingding Li; Jia Zhu 003; Yong Tang 001; Shahbaz Hassan Wasti; Chaobo He; Hai Liu 006; Ronghua Lin (CollaborateCom, 2017)

Social Network Analysis of China Computer Federation Co-author Network. - Chengzhou Fu; Weiquan Zeng; Rui Ding 007; Chengjie Mao; Chaobo He; Guohua Chen (HCC, 2017)

A Multi-View Clustering Method for Community Discovery Integrating Links and Tags. - Chaobo He; Xiang Fei; Hanchao Li; Yong Tang 001; Hai Liu 006; Qimai Chen (ICEBE, 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 031; Chaobo He (ICEBE, 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 031; Chaobo He (ICEBE, 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 001; Jia Zhu 003 (Concurr. Comput. Pract. Exp., 2017)

Automatic Note Recognition and Generation of MDL and MML using FFT. - Hanchao Li; Hongyu You; Xiang Fei; Ming Yang 031; Kuo-Ming Chao; Chaobo He (ICEBE, 2018)

Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure. - Chaobo He; Xiang Fei; Hanchao Li; Yong Tang 001; Hai Liu 006; Shuangyin Liu (J. Supercomput., 2018)

Theoretical Aspects of Music Definition Language and Music Manipulation Language. - Hanchao Li; Xiang Fei; Ming Yang 031; Kuo-Ming Chao; Chaobo He (ICEBE, 2019)

Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization. - Chaobo He; Qiong Zhang; Yong Tang 001; Shuangyin Liu; Hai Liu 006 (IEEE Access, 2019)

A fuzzy clustering based method for attributed graph partitioning. - Chaobo He; Shuangyin Liu; Lei Zhang; Jianhua Zheng (J. Ambient Intell. Humaniz. Comput., 2019)

Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes. - Weisheng Li; Chao Chang 002; Chaobo He; Zhengyang Wu 001; Jiongsheng Guo; Bo Peng (ChineseCSCW, 2020)

Knowledge Base Question Answering System Based on Knowledge Graph Representation Learning. - Yue Wang; Qimai Chen; Chaobo He; Hai Liu 006; Xiyu Wu (ICIAI, 2020)

Network Embedding Using Deep Robust Nonnegative Matrix Factorization. - Chaobo He; Hai Liu 006; Yong Tang 001; Xiang Fei; Hanchao Li; Qiong Zhang (IEEE Access, 2020)

SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information. - Ronghua Lin; Yong Tang 001; Chengzhe Yuan; Chaobo He; Weisheng Li (ChineseCSCW (2), 2021)

An Improved Community Detection Algorithm via Fusing Topology and Attribute Information. - Qing Xu; Lunjie Qiu; Ronghua Lin; Yong Tang 001; Chaobo He; Chengzhe Yuan (CSCWD, 2021)

From Music Information Retrieval to Stock Market Analysis: Theoretical Discussion on Feature Extraction Transfer. - Hanchao Li; Xiang Fei; Ming Yang 031; Kuo-Ming Chao; Chaobo He (ICEBE, 2021)

Similarity preserving overlapping community detection in signed networks. - Chaobo He; Hai Liu 006; Yong Tang 001; Shuangyin Liu; Xiang Fei; Qiwei Cheng; Hanchao Li (Future Gener. Comput. Syst., 2021)

ScholarRec: A User Recommendation System for Academic Social Network. - Yu Weng; Wenguang Yu; Ronghua Lin; Yong Tang 001; Chaobo He (ChineseCSCW (1), 2022)

SARNMF: A Community Detection Method for Attributed Networks. - Junwei Cheng; Weisheng Li; Kunlin Han; Yong Tang 001; Chaobo He; Nini Zhang (CSCWD, 2022)

Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder. - Chaobo He; Yulong Zheng; Junwei Cheng; Yong Tang 001; Guohua Chen; Hai Liu 006 (Inf. Sci., 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 001 (IEEE Trans. Big Data, 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 001 (IEEE Trans. Comput. Soc. Syst., 2022)

A Deep Conditional Generative Approach for Constrained Community Detection. - Chaobo He; Junwei Cheng; Quanlong Guan; Xiang Fei; Hanchao Li; Yong Tang 001 (CIKM, 2023)

Network Embedding with Enhanced Feature Representations for Link Prediction. - Weisheng Li; Wentao Chen; Zhihong Pan 003; Yuanfei Deng; Yong Tang 001; Chaobo He (CSCWD, 2023)

Self-supervised community detection in multiplex networks with graph convolutional autoencoder. - Xingyu Liu; Junwei Cheng; Hao Cheng; Chaobo He; Qimai Chen; Quanlong Guan (CSCWD, 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 001 (KSEM (4), 2023)

How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. - Junwei Cheng; Chaobo He; Kunlin Han; Wenjie Ma; Yong Tang 001 (SIGIR, 2023)

Multiple Topics Community Detection in Attributed Networks. - Chaobo He; Junwei Cheng; Guohua Chen; Yong Tang 001 (SIGIR, 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 001 (Knowl. Based Syst., 2023)

DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning. - Ronghua Lin; Feiyi Tang; Chaobo He; Zhengyang Wu 001; Chengzhe Yuan; Yong Tang 001 (World Wide Web (WWW), 2023)

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 001; Lusheng Wu; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002; Quanlong Guan (ACM Multimedia, 2024)

Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function. - Jingjing Lan; Rongjiao Liang; Hai Liu 006; Chaobo He; Tianyong Hao (NCAA (3), 2024)

Boost Social Recommendation via Adaptive Denoising Network. - Xinran Chen; Chaobo He; Quanlong Guan (WWW (Companion Volume), 2024)

Generating Privacy-preserving Educational Data Records with Diffusion Model. - Quanlong Guan; Yanchong Yu; Xiujie Huang; Liangda Fang; Chaobo He; Lusheng Wu; Weiqi Luo 002; Guanliang Chen (WWW (Companion Volume), 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 001 (Neurocomputing, 2024)

Community Detection Based on Directed Weighted Signed Graph Convolutional Networks. - Hao Cheng; Chaobo He; Hai Liu 006; Xingyu Liu; Peng Yu; Qimai Chen (IEEE Trans. Netw. Sci. Eng., 2024)

Community detection in attributed networks via adaptive deep nonnegative matrix factorization. - Junwei Cheng; Yong Tang 001; Chaobo He; Kunlin Han; Ying Li; Jinhui Wei (Neural Comput. Appl., 2024)

Multi-stage enhanced representation learning for document reranking based on query view. - Hai Liu 006; Xiaozhi Zhu; Yong Tang 001; Chaobo He; Tianyong Hao (World Wide Web (WWW), 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 001 (Inf. Fusion, 2024)

Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. - Si-Guo Fang; Dong Huang 001; Xiaosha Cai; Chang-Dong Wang 001; Chaobo He; Yong Tang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Community-Aware Variational Autoencoder for Continuous Dynamic Networks. - Junwei Cheng; Chaobo He; Pengxing Feng; Weixiong Liu; Kunlin Han; Yong Tang 001 (AAAI, 2025)

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. - Xinghe Cheng; Xufang Zhou; Liangda Fang; Chaobo He; Yuyu Zhou; Weiqi Luo 002; Zhiguo Gong; Quanlong Guan (SIGIR, 2025)

DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. - Weixiong Liu; Junwei Cheng; Zhongyu Pan; Chaobo He; Quanlong Guan (UAI, 2025)

When graph neural networks meet deep nonnegative matrix factorization: An encoder and decoder-like method for community detection. - Junwei Cheng; Chaobo He; Xuequan Lin; Weixiong Liu; Kunlin Han; Yong Tang 001 (Expert Syst. Appl., 2025)

HCKGL: Hyperbolic collaborative knowledge graph learning for recommendation. - Huijuan Hu; Chaobo He; Xinran Chen; Quanlong Guan (Neurocomputing, 2025)

Explainable exercise recommendation with knowledge graph. - Quanlong Guan; Xinghe Cheng; Fang Xiao; Zhuzhou Li; Chaobo He; Liangda Fang; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002 (Neural Networks, 2025)

Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning. - Chaobo He; Hao Cheng; Jiaqi Yang; Yong Tang 001; Quanlong Guan (Neural Networks, 2025)

Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation. - Zeng Hu; Yanke Che; Jing Wang 124; Xuhong Peng; Chaobo He; Dehuan Wan; Yun Liu 006; Ting Wu 010 (IEEE Open J. Commun. Soc., 2025)

Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning. - Xianxian Xia; Dong Huang 001; Chen-Min Yang; Chaobo He; Chang-Dong Wang 001 (IEEE Signal Process. Lett., 2025)

Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. - Junwei Cheng; Yong Tang 001; Chaobo He; Pengxing Feng; Kunlin Han; Quanlong Guan (IEEE Trans. Knowl. Data Eng., 2025)

Education-Oriented Graph Retrieval-Augmented Generation for Learning Path Recommendation. - Xinghe Cheng; Zihan Zhang; Jiapu Wang; Liangda Fang; Chaobo He; Quanlong Guan; Shirui Pan; Weiqi Luo 002 (CoRR, 2025)