Dongxiao He

According to our database, Dongxiao He authored at least 104 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks.

Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng

Expert Syst. Appl., 2025

2024

Reliable Data Augmented Contrastive Learning for Sequential Recommendation.

Mankun Zhao, Aitong Sun, Jian Yu, Xuewei Li, Dongxiao He, Ruiguo Yu, Mei Yu

IEEE Trans. Big Data, December, 2024

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.

Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu

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

Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling.

Yawen Li, Zhizhi Yu, Dongxiao He

IEEE Trans. Knowl. Data Eng., September, 2024

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.

Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang

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

Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction.

Ruiguo Yu, Yingzhou Sun, Dongxiao He, Jie Gao, Zhiqiang Liu, Mei Yu

Int. J. Mach. Learn. Cybern., January, 2024

GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network.

Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng

Inf. Fusion, 2024

AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations.

Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang

CoRR, 2024

Graph Contrastive Learning Reimagined: Exploring Universality.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang

Proceedings of the ACM on Web Conference 2024, 2024

GAUSS: GrAph-customized Universal Self-Supervised Learning.

Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo

Proceedings of the ACM on Web Conference 2024, 2024

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System.

Dongxiao He, Jinghan Zhang, Xiaobao Wang, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma

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

Generalized Taxonomy-Guided Graph Neural Networks.

Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily.

Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Joint Domain Adaptive Graph Convolutional Network.

Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-Modal Sarcasm Detection Based on Dual Generative Processes.

Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Beyond the Known: Novel Class Discovery for Open-World Graph Learning.

Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu

Proceedings of the Database Systems for Advanced Applications, 2024

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.

Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Improving Distinguishability of Class for Graph Neural Networks.

Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.

Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generative Evolutionary Anomaly Detection in Dynamic Networks.

Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu

IEEE Trans. Knowl. Data Eng., December, 2023

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.

Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., November, 2023

GCN for HIN via Implicit Utilization of Attention and Meta-Paths.

Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han

IEEE Trans. Knowl. Data Eng., April, 2023

Embedding text-rich graph neural networks with sequence and topical semantic structures.

Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han

Knowl. Inf. Syst., February, 2023

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang

IEEE Trans. Knowl. Data Eng., 2023

Adversarial Representation Mechanism Learning for Network Embedding.

Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2023

Amer: A New Attribute-Missing Network Embedding Approach.

Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz

IEEE Trans. Cybern., 2023

Graph Neural Networks without Propagation.

Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo

Proceedings of the ACM Web Conference 2023, 2023

Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs.

Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing.

Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.

Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang

Proceedings of the Knowledge Science, Engineering and Management, 2023

A Generalized Deep Markov Random Fields Framework for Fake News Detection.

Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Contrastive Learning Meets Homophily: Two Birds with One Stone.

Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang

Proceedings of the International Conference on Machine Learning, 2023

Graph Reciprocal Neural Networks by Abstracting Node as Attribute.

Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang

Proceedings of the IEEE International Conference on Data Mining, 2023

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.

Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism.

Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang

IEEE Trans. Neural Networks Learn. Syst., 2022

Identification of Communities With Multi-Semantics via Bayesian Generative Model.

Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang

IEEE Trans. Big Data, 2022

A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism.

Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang

IEEE Trans. Big Data, 2022

Community Detection in Social Networks Considering Social Behaviors.

Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang

IEEE Access, 2022

Graph Neural Network for Higher-Order Dependency Networks.

Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Inflation Improves Graph Neural Networks.

Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Graph Neural Networks Beyond Compromise Between Attribute and Topology.

Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

OPEN: Orthogonal Propagation with Ego-Network Modeling.

Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Difference Residual Graph Neural Networks.

Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.

Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing.

Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.

Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Block Modeling-Guided Graph Convolutional Neural Networks.

Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust Detection of Link Communities With Summary Description in Social Networks.

Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang

IEEE Trans. Knowl. Data Eng., 2021

A network embedding-enhanced Bayesian model for generalized community detection in complex networks.

Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang

Inf. Sci., 2021

Event prediction based on evolutionary event ontology knowledge.

Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang

Future Gener. Comput. Syst., 2021

Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity.

Di Jin, Jing He, Bianfang Chai, Dongxiao He

Frontiers Comput. Sci., 2021

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.

Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang

CoRR, 2021

Universal Graph Convolutional Networks.

Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.

Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Guided Community Detection on Networks with Missing Edges.

Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.

Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.

Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang

IEEE Trans. Knowl. Data Eng., 2020

Modeling with Node Popularities for Autonomous Overlapping Community Detection.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang

ACM Trans. Intell. Syst. Technol., 2020

ModMRF: A modularity-based Markov Random Field method for community detection.

Di Jin, Binbin Zhang, Yue Song, Dongxiao He, Zhiyong Feng, Shizhan Chen, Weihao Li, Katarzyna Musial

Neurocomputing, 2020

Adversarial Mutual Information Learning for Network Embedding.

Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Community-Centric Graph Convolutional Network for Unsupervised Community Detection.

Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

A Novel Generative Topic Embedding Model by Introducing Network Communities.

Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang

Proceedings of the World Wide Web Conference, 2019

A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.

Dongxiao He, Yue Song, Di Jin

Proceedings of the Knowledge Science, Engineering and Management, 2019

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph.

Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Capsule Learning for Network Embedding.

Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.

Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Incorporating Network Embedding into Markov Random Field for Better Community Detection.

Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.

Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Performance Analysis for the N-Continuous Precoded SM-OFDM System.

Yue Xiao, Feng Yu, Xia Lei, Dongxiao He, Ping Yang, Wei Xiang

IEEE Trans. Veh. Technol., 2018

Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation.

You Li, Xia Lei, Wanbin Tang, Dongxiao He, Yue Xiao, Wei Xiang

IEEE Access, 2018

Robust Detection of Communities with Multi-semantics in Large Attributed Networks.

Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial

Proceedings of the Knowledge Science, Engineering and Management, 2018

Quantifying the Emergence of New Domains: Using Cybersecurity as a Case.

Xiaoli Hu, Zhiyong Feng, Shizhan Chen, Dongxiao He, Keman Huang

Proceedings of the Knowledge Science, Engineering and Management, 2018

A Network Embedding-Enhanced Approach for Generalized Community Detection.

Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Françoise Fogelman-Soulié

Proceedings of the Knowledge Science, Engineering and Management, 2018

Manifold-based incremental community detection method for online speaker identification.

Hongcui Wang, Dongxiao He, Jianwu Dang, Xi Liang

Proceedings of the 11th International Symposium on Chinese Spoken Language Processing, 2018

Integrative Network Embedding via Deep Joint Reconstruction.

Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics.

Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Françoise Fogelman-Soulié

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

Edge Content Enhanced Network Embedding.

Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.

Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Network-Specific Markov Random Field Approach to Community Detection.

Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Semi-supervised community detection based on non-negative matrix factorization with node popularity.

Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci

Inf. Sci., 2017

Identification of Generalized Communities with Semantics in Networks with Content.

Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Françoise Fogelman-Soulié, Jianwu Dang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Using Deep Learning for Community Discovery in Social Networks.

Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Adaptive Community Detection Incorporating Topology and Content in Social Networks.

Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents.

Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.

Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys

Knowl. Based Syst., 2016

Modularity Based Community Detection with Deep Learning.

Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Node-Grained Incremental Community Detection for Streaming Networks.

Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Detect Overlapping Communities via Ranking Node Popularities.

Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Modeling with Node Degree Preservation Can Accurately Find Communities.

Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.

Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.

Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks.

Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu

Int. J. Comput. Intell. Syst., 2013

Markov random walk under constraint for discovering overlapping communities in complex networks

Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu

CoRR, 2013

Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks

Dongxiao He, Zhe Wang, Bin Yang, Chunguang Zhou

CoRR, 2013

Discovering link communities in complex networks by exploiting link dynamics

Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang

CoRR, 2013

Identification of hybrid node and link communities in complex networks.

Dongxiao He, Weixiong Zhang

CoRR, 2013

2012

An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.

Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin

Adv. Complex Syst., 2012

2011

Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks.

Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He

Adv. Complex Syst., 2011

Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs.

Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Ant colony optimization for community detection in large-scale complex networks.

Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia

Proceedings of the Seventh International Conference on Natural Computation, 2011

2010

Genetic Algorithm with Local Search for Community Mining in Complex Networks.

Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010