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Dongxiao He

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

86

Venues

14

Active years

2010–2026

Best venue rank

A*

Where they publish

Papers

86 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026AAAIMitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment.Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He
2026AAAIMUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026AAAIStructure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning.Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He
2026WWWKG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models.Zirui Chen, Xin Wang, Zhao Li, Wenbin Guo, Dongxiao He, Yanbing Li, Wushour Silamu
2026WWWUnveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms.Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang
2026WWWLEDA: Latent Semantic Distribution Alignment for Multi-domain Graph Pre-training.Lianze Shan, Jitao Zhao, Dongxiao He, Siqi Liu, Jiaxu Cui, Weixiong Zhang
2026WWWTopology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng
2026WWWIntegrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026WWWTowards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2025AAAIBackdoor Attack on Propagation-based Rumor Detectors.Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
2025AAAITowards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He
2025AAAIDoes GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025AAAIFeature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025AAAIContrastive Representation for Interactive Recommendation.Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu
2025AAAIIntegrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily.Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang
2025AAAIEnriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content.Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang
2025AAAIHeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting.Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin
2025AAAIDynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025IJCAIRethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025IJCAIA Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection.Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He
2025IJCAIExploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks.Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang
2025IJCAIA Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025IJCAISingle-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025IJCAIDynamic Seed-GrowthCM: A Dynamic Benefit-Oriented Algorithm for Core Maximization on Large Graphs.Dongyuan Ma, Dongxiao He, Xin Huang
2025IJCAIAttribute Association Driven Multi-Task Learning for Session-based Recommendation.Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin
2025WWWLLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025WWWStr-GCL: Structural Commonsense Driven Graph Contrastive Learning.Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang
2024AAAIUnveiling 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
2024AAAIImproving Distinguishability of Class for Graph Neural Networks.Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng
2024AAAIA New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
2024AAAIGOODAT: 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
2024DASFAABeyond 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
2024IJCAIMulti-Modal Sarcasm Detection Based on Dual Generative Processes.Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang
2024IJCAIJoint Domain Adaptive Graph Convolutional Network.Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
2024IJCAILG-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
2024IJCAIGeneralized Taxonomy-Guided Graph Neural Networks.Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
2024WWWGAUSS: 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
2024WWWGraph 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
2023AAAIT2-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
2023ICDMGraph Reciprocal Neural Networks by Abstracting Node as Attribute.Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang
2023ICMLContrastive Learning Meets Homophily: Two Birds with One Stone.Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang
2023IJCAIA Generalized Deep Markov Random Fields Framework for Fake News Detection.Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
2023KSEMLocal-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2023WWWGraph Neural Networks without Propagation.Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo
2022AAAIBlock Modeling-Guided Graph Convolutional Neural Networks.Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng
2022AAAIPowerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
2022AAAISelf-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
2022IJCAIRAW-GNN: RAndom Walk Aggregation based Graph Neural Network.Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022WWWGraph Neural Networks Beyond Compromise Between Attribute and Topology.Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He
2022WWWInflation Improves Graph Neural Networks.Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
2022WWWGraph Neural Network for Higher-Order Dependency Networks.Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2021ICDMAS-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
2021IJCAISelf-Guided Community Detection on Networks with Missing Edges.Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
2021NAACLHTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization.Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu
2020IJCAICommunity-Centric Graph Convolutional Network for Unsupervised Community Detection.Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
2020IJCAIAdversarial Mutual Information Learning for Network Embedding.Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
2019AAAIGraph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
2019AAAIIncorporating Network Embedding into Markov Random Field for Better Community Detection.Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Franoise Fogelman-Souli, Tanmoy Chakraborty
2019CIKMEmotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
2019ICANNCommunity Detection via Joint Graph Convolutional Network Embedding in Attribute Network.Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
2019IJCAIAn 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
2019IJCAINetwork-Specific Variational Auto-Encoder for Embedding in Attribute Networks.Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
2019ICTAIAdversarial Capsule Learning for Network Embedding.Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
2019KSEMA Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.Dongxiao He, Yue Song, Di Jin
2019WWWA Novel Generative Topic Embedding Model by Introducing Network Communities.Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Franoise Fogelman-Souli, Yuxiao Huang
2018AAAIA Network-Specific Markov Random Field Approach to Community Detection.Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
2018AAAIRobust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang
2018IJCAIIntegrative Network Embedding via Deep Joint Reconstruction.Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
2018ICTAIEdge Content Enhanced Network Embedding.Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018ICWSA Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics.Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Franoise Fogelman-Souli
2018KSEMA Network Embedding-Enhanced Approach for Generalized Community Detection.Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Franoise Fogelman-Souli
2018KSEMQuantifying the Emergence of New Domains: Using Cybersecurity as a Case.Xiaoli Hu, Zhiyong Feng, Shizhan Chen, Dongxiao He, Keman Huang
2018KSEMRobust Detection of Communities with Multi-semantics in Large Attributed Networks.Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2017AAAIJoint 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
2017ICTAIUsing Deep Learning for Community Discovery in Social Networks.Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Franoise Fogelman-Souli
2017ICTAIIdentification of Generalized Communities with Semantics in Networks with Content.Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Franoise Fogelman-Souli, Jianwu Dang
2016AAAIDetect Overlapping Communities via Ranking Node Popularities.Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang
2016IJCAIModularity Based Community Detection with Deep Learning.Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang
2016ICTAINode-Grained Incremental Community Detection for Streaming Networks.Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang
2015AAAIA Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
2015AAAIModeling with Node Degree Preservation Can Accurately Find Communities.Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang
2014WWWThe (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
2011ICNCAnt colony optimization for community detection in large-scale complex networks.Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia
2011PAKDDAnt Colony Optimization with Markov Random Walk for Community Detection in Graphs.Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
2010ICTAIGenetic Algorithm with Local Search for Community Mining in Complex Networks.Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero