Chaobo He

70 papers A* 8A 2B 1C 5Misc 1Journal 33Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Clustering Diffusion Model With Frequency-Signal Modulation for Variational Graph Autoencoders.
IEEE Trans. Pattern Anal. Mach. Intell.
Junwei Cheng, Ke Liang, Pengxing Feng, Weixiong Liu, Yong Tang, Chaobo He
2026 A* conf
Generating In-Distribution Counterfactual Explanation for Graph Neural Networks.
AAAI
Linmao Chen, Chaobo He, Junwei Cheng, Chunying Li, Quanlong Guan
2026 A* conf
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation.
AAAI
Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo
2026 J jnl
Multi-scale signal modulation for variational graph autoencoders.
Artif. Intell.
Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Ke Liang
2026 J jnl
Variational graph filter autoencoder for uncovering community structure in multiplex networks.
Pattern Recognit.
Junwei Cheng, Chaobo He, Xiang Fei, Tianyong Hao, Hui Ma, Yong Tang
2025 — conf
Boost Dynamic Community Detection via Exploiting Member Transition Information.
DASFAA (2)
Zhongyu Pan, Junwei Cheng, Weixiong Liu, Chaobo He, Quanlong Guan, Xuequan Lin
2025 A* conf
Community-Aware Variational Autoencoder for Continuous Dynamic Networks.
AAAI
Junwei Cheng, Chaobo He, Pengxing Feng, Weixiong Liu, Kunlin Han, Yong Tang
2025 A conf
DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction.
UAI
Weixiong Liu, Junwei Cheng, Zhongyu Pan, Chaobo He, Quanlong Guan
2025 J jnl
Education-Oriented Graph Retrieval-Augmented Generation for Learning Path Recommendation.
CoRR
Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo
2025 J jnl
Explainable exercise recommendation with knowledge graph.
Neural Networks
Quanlong Guan, Xinghe Cheng, Fang Xiao, Zhuzhou Li, Chaobo He, Liangda Fang, Guanliang Chen, Zhiguo Gong, Weiqi Luo
2025 A* conf
Frequency-refined Graph Convolution Network with Cross-modal Wavelet Denoising for Recommendation.
ACM Multimedia
Feiyu Peng, Chaobo He, Junwei Cheng, Huijuan Hu, Wenkai Zhang, Youda Mo
2025 J jnl
Graph Neural Network Empowers Intelligent Education: A Systematic Review From an Application Perspective.
IEEE Trans. Learn. Technol.
Chaobo He, Jian Luo, Yong Tang, Guanliang Chen, Quanlong Guan
2025 J jnl
HCKGL: Hyperbolic collaborative knowledge graph learning for recommendation.
Neurocomputing
Huijuan Hu, Chaobo He, Xinran Chen, Quanlong Guan
2025 A* conf
NR4DER: Neural Re-ranking for Diversified Exercise Recommendation.
SIGIR
Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
2025 J jnl
NR4DER: Neural Re-ranking for Diversified Exercise Recommendation.
CoRR
Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan
2025 J jnl
Orthogonal Frequency Division Multiplexing With Generalized Joint Index Modulation.
IEEE Open J. Commun. Soc.
Zeng Hu, Yanke Che, Jing Wang, Xuhong Peng, Chaobo He, Dehuan Wan, Yun Liu, Ting Wu
2025 J jnl
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective.
IEEE Trans. Knowl. Data Eng.
Junwei Cheng, Yong Tang, Chaobo He, Pengxing Feng, Kunlin Han, Quanlong Guan
2025 B conf
SGTrans: Signed Graph Transformer for Link Sign Prediction.
IJCNN
Xuequan Lin, Hao Cheng, Junwei Cheng, Chaobo He, Qimai Chen
2025 J jnl
Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning.
Neural Networks
Chaobo He, Hao Cheng, Jiaqi Yang, Yong Tang, Quanlong Guan
2025 J jnl
Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning.
IEEE Signal Process. Lett.
Xianxian Xia, Dong Huang, Chen-Min Yang, Chaobo He, Chang-Dong Wang
2025 J jnl
When graph neural networks meet deep nonnegative matrix factorization: An encoder and decoder-like method for community detection.
Expert Syst. Appl.
Junwei Cheng, Chaobo He, Xuequan Lin, Weixiong Liu, Kunlin Han, Yong Tang
2024 — conf
Boost Social Recommendation via Adaptive Denoising Network.
WWW (Companion Volume)
Xinran Chen, Chaobo He, Quanlong Guan
2024 J jnl
Community Detection Based on Directed Weighted Signed Graph Convolutional Networks.
IEEE Trans. Netw. Sci. Eng.
Hao Cheng, Chaobo He, Hai Liu, Xingyu Liu, Peng Yu, Qimai Chen
2024 J jnl
Community detection in attributed networks via adaptive deep nonnegative matrix factorization.
Neural Comput. Appl.
Junwei Cheng, Yong Tang, Chaobo He, Kunlin Han, Ying Li, Jinhui Wei
2024 J jnl
Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network.
Inf. Fusion
Chaobo He, Junwei Cheng, Guohua Chen, Quanlong Guan, Xiang Fei, Yong Tang
2024 J jnl
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2024 — conf
Generating Privacy-preserving Educational Data Records with Diffusion Model.
WWW (Companion Volume)
Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen
2024 — conf
Improving Dialogue State Tracking with Interactive Acts Attention and Attention Divergence Loss Function.
NCAA (3)
Jingjing Lan, Rongjiao Liang, Hai Liu, Chaobo He, Tianyong Hao
2024 J jnl
Multi-stage enhanced representation learning for document reranking based on query view.
World Wide Web (WWW)
Hai Liu, Xiaozhi Zhu, Yong Tang, Chaobo He, Tianyong Hao
2024 A* conf
Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions.
ACM Multimedia
Xiuliang Duan, Dating Tan, Liangda Fang, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu, Guanliang Chen, Zhiguo Gong, Weiqi Luo, Quanlong Guan
2024 J jnl
Unveiling community structures in static networks through graph variational Bayes with evolution information.
Neurocomputing
Junwei Cheng, Chaobo He, Kunlin Han, Gangbin Chen, Wanying Liang, Yong Tang
2023 A conf
A Deep Conditional Generative Approach for Constrained Community Detection.
CIKM
Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang
2023 J jnl
Community preserving adaptive graph convolutional networks for link prediction in attributed networks.
Knowl. Based Syst.
Chaobo He, Junwei Cheng, Xiang Fei, Yu Weng, Yulong Zheng, Yong Tang
2023 J jnl
DIRS-KG: a KG-enhanced interactive recommender system based on deep reinforcement learning.
World Wide Web (WWW)
Ronghua Lin, Feiyi Tang, Chaobo He, Zhengyang Wu, Chengzhe Yuan, Yong Tang
2023 — conf
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification.
KSEM (4)
Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang
2023 A* conf
How Significant Attributes are in the Community Detection of Attributed Multiplex Networks.
SIGIR
Junwei Cheng, Chaobo He, Kunlin Han, Wenjie Ma, Yong Tang
2023 A* conf
Multiple Topics Community Detection in Attributed Networks.
SIGIR
Chaobo He, Junwei Cheng, Guohua Chen, Yong Tang
2023 C conf
Network Embedding with Enhanced Feature Representations for Link Prediction.
CSCWD
Weisheng Li, Wentao Chen, Zhihong Pan, Yuanfei Deng, Yong Tang, Chaobo He
2023 C conf
Self-supervised community detection in multiplex networks with graph convolutional autoencoder.
CSCWD
Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He, Qimai Chen, Quanlong Guan
2022 J jnl
A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization.
IEEE Trans. Comput. Soc. Syst.
Chaobo He, Xiang Fei, Qiwei Cheng, Hanchao Li, Zeng Hu, Yong Tang
2022 J jnl
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder.
IEEE Trans. Big Data
Chaobo He, Yulong Zheng, Xiang Fei, Hanchao Li, Zeng Hu, Yong Tang
2022 J jnl
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning.
CoRR
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2022 C conf
SARNMF: A Community Detection Method for Attributed Networks.
CSCWD
Junwei Cheng, Weisheng Li, Kunlin Han, Yong Tang, Chaobo He, Nini Zhang
2022 — conf
ScholarRec: A User Recommendation System for Academic Social Network.
ChineseCSCW (1)
Yu Weng, Wenguang Yu, Ronghua Lin, Yong Tang, Chaobo He
2022 J jnl
Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder.
Inf. Sci.
Chaobo He, Yulong Zheng, Junwei Cheng, Yong Tang, Guohua Chen, Hai Liu
2021 C conf
An Improved Community Detection Algorithm via Fusing Topology and Attribute Information.
CSCWD
Qing Xu, Lunjie Qiu, Ronghua Lin, Yong Tang, Chaobo He, Chengzhe Yuan
2021 — conf
From Music Information Retrieval to Stock Market Analysis: Theoretical Discussion on Feature Extraction Transfer.
ICEBE
Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He
2021 — conf
SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information.
ChineseCSCW (2)
Ronghua Lin, Yong Tang, Chengzhe Yuan, Chaobo He, Weisheng Li
2021 J jnl
Similarity preserving overlapping community detection in signed networks.
Future Gener. Comput. Syst.
Chaobo He, Hai Liu, Yong Tang, Shuangyin Liu, Xiang Fei, Qiwei Cheng, Hanchao Li
2020 — conf
Academic Paper Recommendation Method Combining Heterogeneous Network and Temporal Attributes.
ChineseCSCW
Weisheng Li, Chao Chang, Chaobo He, Zhengyang Wu, Jiongsheng Guo, Bo Peng
2020 — conf
Knowledge Base Question Answering System Based on Knowledge Graph Representation Learning.
ICIAI
Yue Wang, Qimai Chen, Chaobo He, Hai Liu, Xiyu Wu
2020 J jnl
Network Embedding Using Deep Robust Nonnegative Matrix Factorization.
IEEE Access
Chaobo He, Hai Liu, Yong Tang, Xiang Fei, Hanchao Li, Qiong Zhang
2019 J jnl
A fuzzy clustering based method for attributed graph partitioning.
J. Ambient Intell. Humaniz. Comput.
Chaobo He, Shuangyin Liu, Lei Zhang, Jianhua Zheng
2019 J jnl
Network Embedding Using Semi-Supervised Kernel Nonnegative Matrix Factorization.
IEEE Access
Chaobo He, Qiong Zhang, Yong Tang, Shuangyin Liu, Hai Liu
2019 — conf
Theoretical Aspects of Music Definition Language and Music Manipulation Language.
ICEBE
Hanchao Li, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He
2018 — conf
Automatic Note Recognition and Generation of MDL and MML using FFT.
ICEBE
Hanchao Li, Hongyu You, Xiang Fei, Ming Yang, Kuo-Ming Chao, Chaobo He
2018 J jnl
Improving NMF-based community discovery using distributed robust nonnegative matrix factorization with SimRank similarity measure.
J. Supercomput.
Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Shuangyin Liu
2017 — conf
A Multi-View Clustering Method for Community Discovery Integrating Links and Tags.
ICEBE
Chaobo He, Xiang Fei, Hanchao Li, Yong Tang, Hai Liu, Qimai Chen
2017 — conf
A Survey of Audio MIR Systems, Symbolic MIR Systems and a Music Definition Language Demo-System.
ICEBE
Hanchao Li, Zhouhemu Tang, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He
2017 J jnl
A topic community-based method for friend recommendation in large-scale online social networks.
Concurr. Comput. Pract. Exp.
Chaobo He, Hanchao Li, Xiang Fei, Atiao Yang, Yong Tang, Jia Zhu
2017 C conf
Citation Based Collaborative Summarization of Scientific Publications by a New Sentence Similarity Measure.
CollaborateCom
Chengzhe Yuan, Dingding Li, Jia Zhu, Yong Tang, Shahbaz Hassan Wasti, Chaobo He, Hai Liu, Ronghua Lin
2017 — conf
Community Discovery in Large-Scale Complex Networks Using Distributed SimRank Nonnegative Matrix Factorization.
CBD
Chaobo He, Xiang Fei, Hanchao Li, Hai Liu, Yong Tang, Qimai Chen
2017 — conf
Music Definition Language & Music Manipulation Language: A Coding Scheme for Music Representation and Storage.
ICEBE
Hanchao Li, David Yee Fan Zuo, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He
2017 — conf
Social Network Analysis of China Computer Federation Co-author Network.
HCC
Chengzhou Fu, Weiquan Zeng, Rui Ding, Chengjie Mao, Chaobo He, Guohua Chen
2016 Misc conf
SCHOLAT: An Innovative Academic Information Service Platform.
ADC
Feiyi Tang, Jia Zhu, Chaobo He, Chengzhou Fu, Jing He, Yong Tang
2016 — conf
Towards a Hybrid Deep-Learning Method for Music Classification and Similarity Measurement.
ICEBE
Hanchao Li, Xiang Fei, Kuo-Ming Chao, Ming Yang, Chaobo He
2016 J jnl
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
Chengzhou Fu, Yong Tang, Chaobo He, Jinling Wang, Chengzhe Yuan
2015 — conf
A Topic Community-Based Method for Friend Recommendation in Online Social Networks via Joint Nonnegative Matrix Factorization.
CBD
Chaobo He, Hanchao Li, Xiang Fei, Yong Tang, Jia Zhu
2015 J jnl
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
Chaobo He, Zhenxiong Yang, Shaowen Hong, Yong Tang, Guohua Chen, Kai Zheng
2012 — conf
Effect on Generalization of Using Relational Information in List-Wise Algorithms.
ICPCA/SWS
Guohua Chen, Yong Tang, Feiyi Tang, Shijin Ding, Chaobo He