Dongxiao He

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 90

Top Venues

AAAI

CoRR

IJCAI

IEEE Trans. Knowl. Data Eng.

Publications

Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI (2024)
Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng
GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network. Inf. Fusion 110 (2024)
Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations. CoRR (2024)
Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo
GAUSS: GrAph-customized Universal Self-Supervised Learning. WWW (2024)
Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. AAAI (2024)
Ruiguo Yu, Yingzhou Sun, Dongxiao He, Jie Gao, Zhiqiang Liu, Mei Yu
Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
Graph Contrastive Learning Reimagined: Exploring Universality. WWW (2024)
Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu
Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR (2024)
Yawen Li, Zhizhi Yu, Dongxiao He
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng
Improving Distinguishability of Class for Graph Neural Networks. AAAI (2024)
Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. AAAI (2024)
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR (2024)
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang
Contrastive Learning Meets Homophily: Two Birds with One Stone. ICML (2023)
Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. ICDM (2023)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. AAAI (2023)
Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo
Graph Neural Networks without Propagation. WWW (2023)
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu
Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
Embedding text-rich graph neural networks with sequence and topical semantic structures. Knowl. Inf. Syst. 65 (2) (2023)
Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. ACM Multimedia (2023)
Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz
Amer: A New Attribute-Missing Network Embedding Approach. IEEE Trans. Cybern. 53 (7) (2023)
Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. ACM Multimedia (2023)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. KSEM (4) (2023)
Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu
Adversarial Representation Mechanism Learning for Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
A Generalized Deep Markov Random Fields Framework for Fake News Detection. IJCAI (2023)
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. CoRR (2022)
Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism. IEEE Trans. Big Data 8 (4) (2022)
Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao
Difference Residual Graph Neural Networks. ACM Multimedia (2022)
Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo
OPEN: Orthogonal Propagation with Ego-Network Modeling. NeurIPS (2022)
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature. CoRR (2022)
Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
Graph Neural Networks Beyond Compromise Between Attribute and Topology. WWW (2022)
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Block Modeling-Guided Graph Convolutional Neural Networks. AAAI (2022)
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
Graph Neural Network for Higher-Order Dependency Networks. WWW (2022)
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. CoRR (2022)
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
Inflation Improves Graph Neural Networks. WWW (2022)
Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10 (2022)
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. IJCAI (2022)
Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. AAAI (2022)
Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang
Identification of Communities With Multi-Semantics via Bayesian Generative Model. IEEE Trans. Big Data 8 (4) (2022)
Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. AAAI (2022)
Di Jin, Jing He, Bianfang Chai, Dongxiao He
Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity. Frontiers Comput. Sci. 15 (4) (2021)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM (2021)
Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang
A network embedding-enhanced Bayesian model for generalized community detection in complex networks. Inf. Sci. 575 (2021)
Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang
Robust Detection of Link Communities With Summary Description in Social Networks. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT (2021)
Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR (2021)
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
Universal Graph Convolutional Networks. NeurIPS (2021)
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. CoRR (2021)
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
Self-Guided Community Detection on Networks with Missing Edges. IJCAI (2021)
Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
Block Modeling-Guided Graph Convolutional Neural Networks. CoRR (2021)
Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang
Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. 115 (2021)
Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. IEEE Trans. Knowl. Data Eng. 32 (11) (2020)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang
Modeling with Node Popularities for Autonomous Overlapping Community Detection. ACM Trans. Intell. Syst. Technol. 11 (3) (2020)
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
Adversarial Mutual Information Learning for Network Embedding. IJCAI (2020)
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
Community-Centric Graph Convolutional Network for Unsupervised Community Detection. IJCAI (2020)
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR (2020)
Di Jin, Binbin Zhang, Yue Song, Dongxiao He, Zhiyong Feng, Shizhan Chen, Weihao Li, Katarzyna Musial
ModMRF: A modularity-based Markov Random Field method for community detection. Neurocomputing 405 (2020)
Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. IJCAI (2019)
Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. CIKM (2019)
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. AAAI (2019)
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty
Incorporating Network Embedding into Markov Random Field for Better Community Detection. AAAI (2019)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI (2019)
Dongxiao He, Yue Song, Di Jin
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes. KSEM (1) (2019)
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
A Novel Generative Topic Embedding Model by Introducing Network Communities. WWW (2019)
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
Adversarial Capsule Learning for Network Embedding. ICTAI (2019)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. ICANN (Workshop) (2019)
Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. AAAI (2018)
Hongcui Wang, Dongxiao He, Jianwu Dang, Xi Liang
Manifold-based incremental community detection method for online speaker identification. ISCSLP (2018)
Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Françoise Fogelman-Soulié
A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics. ICWS (2018)
Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
Integrative Network Embedding via Deep Joint Reconstruction. IJCAI (2018)
Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
A Network-Specific Markov Random Field Approach to Community Detection. AAAI (2018)
You Li, Xia Lei, Wanbin Tang, Dongxiao He, Yue Xiao, Wei Xiang
Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation. IEEE Access 6 (2018)
Xiaoli Hu, Zhiyong Feng, Shizhan Chen, Dongxiao He, Keman Huang
Quantifying the Emergence of New Domains: Using Cybersecurity as a Case. KSEM (2) (2018)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) (2018)
Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
Edge Content Enhanced Network Embedding. ICTAI (2018)
Yue Xiao, Feng Yu, Xia Lei, Dongxiao He, Ping Yang, Wei Xiang
Performance Analysis for the N-Continuous Precoded SM-OFDM System. IEEE Trans. Veh. Technol. 67 (1) (2018)
Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Françoise Fogelman-Soulié
A Network Embedding-Enhanced Approach for Generalized Community Detection. KSEM (2) (2018)
Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM (2017)
Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. AAAI (2017)
Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Françoise Fogelman-Soulié, Jianwu Dang
Identification of Generalized Communities with Semantics in Networks with Content. ICTAI (2017)
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf. Sci. 381 (2017)
Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié
Using Deep Learning for Community Discovery in Social Networks. ICTAI (2017)
Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang
Modularity Based Community Detection with Deep Learning. IJCAI (2016)
Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang
Detect Overlapping Communities via Ranking Node Popularities. AAAI (2016)
Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang
Node-Grained Incremental Community Detection for Streaming Networks. ICTAI (2016)
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. Knowl. Based Syst. 110 (2016)
Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks. AAAI (2015)
Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang
Modeling with Node Degree Preservation Can Accurately Find Communities. AAAI (2015)
Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He
The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF. WWW (Companion Volume) (2014)
Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks CoRR (2013)
Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang
Discovering link communities in complex networks by exploiting link dynamics CoRR (2013)
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks CoRR (2013)
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks. Int. J. Comput. Intell. Syst. 6 (2) (2013)
Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks CoRR (2013)
Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu
Markov random walk under constraint for discovering overlapping communities in complex networks CoRR (2013)
Dongxiao He, Zhe Wang, Bin Yang, Chunguang Zhou
Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks CoRR (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dongxiao He