Fast Complex Network Clustering Algorithm Using Agents. - Di Jin 001; Dayou Liu; Bo Yang 002; Jie Liu 014 (DASC, 2009)

Genetic Algorithm with Local Search for Community Mining in Complex Networks. - Di Jin 001; Dongxiao He; Dayou Liu; Carlos Baquero (ICTAI (1), 2010)

Ant colony optimization for community detection in large-scale complex networks. - Dongxiao He; Jie Liu 014; Dayou Liu; Di Jin 001; Zhengxue Jia (ICNC, 2011)

Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs. - Di Jin 001; Dayou Liu; Bo Yang 002; Carlos Baquero; Dongxiao He (PAKDD (2), 2011)

Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks. - Di Jin 001; Dayou Liu; Bo Yang 002; Jie Liu 014; Dongxiao He (Adv. Complex Syst., 2011)

An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks. - Dongxiao He; Jie Liu 014; Bo Yang 002; Yuxiao Huang; Dayou Liu; Di Jin 001 (Adv. Complex Syst., 2012)

Dialog Act classification in Chinese spoken language. - Peng Liu; Qingbua Hu; Jianwu Dang 001; Di Jin 001; Jinxin Cao (ICMLC, 2013)

Discovering link communities in complex networks by exploiting link dynamics - Dongxiao He; Dayou Liu; Weixiong Zhang; Di Jin 001; Bo Yang 002 (CoRR, 2013)

Markov random walk under constraint for discovering overlapping communities in complex networks - Di Jin 001; Bo Yang 002; Carlos Baquero; Dayou Liu; Dongxiao He; Jie Liu 014 (CoRR, 2013)

Hierarchical community detection with applications to real-world network analysis. - Bo Yang 002; Di Jin 001; Jiming Liu 001; Dayou Liu (Data Knowl. Eng., 2013)

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks. - Dayou Liu; Di Jin 001; Carlos Baquero; Dongxiao He; Bo Yang 002; Qiangyuan Yu (Int. J. Comput. Intell. Syst., 2013)

Decentralized mining social network communities with agents. - Jing Huang 002; Bo Yang 002; Di Jin 001; Yi Yang (Math. Comput. Model., 2013)

The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF. - Xiaochun Cao; Xiao Wang 017; Di Jin 001; Yixin Cao 001; Dongxiao He (WWW (Companion Volume), 2014)

A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks. - Dongxiao He; Dayou Liu; Di Jin 001; Weixiong Zhang (AAAI, 2015)

Modeling with Node Degree Preservation Can Accurately Find Communities. - Di Jin 001; Zheng Chen; Dongxiao He; Weixiong Zhang (AAAI, 2015)

Community detection with manifold learning on speaker i-vector space for Chinese. - Hongcui Wang; Di Jin 001; Lantian Li; Jianwu Dang 001 (INTERSPEECH, 2015)

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. - Liang Yang 002; Xiaochun Cao; Di Jin 001; Xiao Wang 017; Dan Meng 002 (IEEE Trans. Cybern., 2015)

Detect Overlapping Communities via Ranking Node Popularities. - Di Jin 001; Hongcui Wang; Jianwu Dang 001; Dongxiao He; Weixiong Zhang (AAAI, 2016)

Semantic Community Identification in Large Attribute Networks. - Xiao Wang 017; Di Jin 001; Xiaochun Cao; Liang Yang 002; Weixiong Zhang (AAAI, 2016)

Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach. - Wenjun Wang 002; Pengfei Jiao; Dongxiao He; Di Jin 001; Lin Pan 002; Bogdan Gabrys (Knowl. Based Syst., 2016)

Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. - Dongxiao He; Zhiyong Feng 002; Di Jin 001; Xiaobao Wang; Weixiong Zhang (AAAI, 2017)

Adaptive Community Detection Incorporating Topology and Content in Social Networks. - Meng Qin 002; Di Jin 001; Dongxiao He; Bogdan Gabrys; Katarzyna Musial (ASONAM, 2017)

Using Deep Learning for Community Discovery in Social Networks. - Di Jin 001; Meng Ge; Zhixuan Li; Wenhuan Lu; Dongxiao He; Françoise Fogelman-Soulié (ICTAI, 2017)

Identification of Generalized Communities with Semantics in Networks with Content. - Di Jin 001; Xiaobao Wang; Dongxiao He; Wenhuan Lu; Françoise Fogelman-Soulié; Jianwu Dang 001 (ICTAI, 2017)

Tracking and Detecting Dynamic Communities with Node Popularity Preservation. - Limengzi Yuan; Wenjun Wang 002; Pengfei Jiao; Di Jin 001; Wenxin Wei (ICTAI, 2017)

Semi-supervised community detection based on non-negative matrix factorization with node popularity. - Xiao Liu; Wenjun Wang 002; Dongxiao He; Pengfei Jiao; Di Jin 001; Carlo Vittorio Cannistraci (Inf. Sci., 2017)

A Network-Specific Markov Random Field Approach to Community Detection. - Dongxiao He; Xinxin You; Zhiyong Feng 002; Di Jin 001; Xue Yang; Weixiong Zhang (AAAI, 2018)

Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. - Di Jin 001; Xiaobao Wang; Ruifang He; Dongxiao He; Jianwu Dang 001; Weixiong Zhang (AAAI, 2018)

Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning. - Fengyu Guo; Ruifang He; Di Jin 001; Jianwu Dang 001; Longbiao Wang; Xiangang Li (COLING, 2018)

Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention. - Ruifang He; Xuefei Zhang; Di Jin 001; Longbiao Wang; Jianwu Dang 001; Xiangang Li (COLING, 2018)

Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs. - Yueqi Xin; Xin Wang 030; Di Jin 001; Simiao Wang (DASFAA (1), 2018)

Edge Content Enhanced Network Embedding. - Hongcui Wang; Erwei Wang; Di Jin 001; Xiao Wang 017; Jing Wang 023; Dongxiao He (ICTAI, 2018)

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. - Liang Yang 002; Yuanfang Guo; Di Jin 001; Huazhu Fu; Xiaochun Cao (IJCAI, 2018)

Integrative Network Embedding via Deep Joint Reconstruction. - Di Jin 001; Meng Ge; Liang Yang 002; Dongxiao He; Longbiao Wang; Weixiong Zhang (IJCAI, 2018)

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. - Ge Zhang 002; Di Jin 001; Jian Gao; Pengfei Jiao; Françoise Fogelman-Soulié; Xin Huang 001 (IJCAI, 2018)

Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents. - Jinxin Cao; Di Jin 001; Jianwu Dang 001 (KSEM (2), 2018)

Robust Detection of Communities with Multi-semantics in Large Attributed Networks. - Di Jin 001; Ziyang Liu 004; Dongxiao He; Bogdan Gabrys; Katarzyna Musial (KSEM (1), 2018)

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. - Wenjun Wang 002; Xiao Liu; Pengfei Jiao; Xue Chen 005; Di Jin 001 (PAKDD (3), 2018)

Incorporating network structure with node contents for community detection on large networks using deep learning. - Jinxin Cao; Di Jin 001; Liang Yang 002; Jianwu Dang 001 (Neurocomputing, 2018)

Constrained common cluster based model for community detection in temporal and multiplex networks. - Pengfei Jiao; Wenjun Wang 002; Di Jin 001 (Neurocomputing, 2018)

Adaptive community detection incorporating topology and content in social networks✰. - Meng Qin 002; Di Jin 001; Kai Lei; Bogdan Gabrys; Katarzyna Musial-Gabrys (Knowl. Based Syst., 2018)

Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks. - Di Jin 001; Ziyang Liu 004; Weihao Li; Dongxiao He; Weixiong Zhang (AAAI, 2019)

Incorporating Network Embedding into Markov Random Field for Better Community Detection. - Di Jin 001; Xinxin You; Weihao Li; Dongxiao He; Peng Cui; Françoise Fogelman-Soulié; Tanmoy Chakraborty 002 (AAAI, 2019)

Community Detection in Social Networks Considering Topic Correlations. - Yingkui Wang; Di Jin 001; Katarzyna Musial; Jianwu Dang 001 (AAAI, 2019)

Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. - Xiaobao Wang; Di Jin 001; Mengquan Liu; Dongxiao He; Katarzyna Musial; Jianwu Dang 001 (CIKM, 2019)

Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Hongyu Shan (ICANN (Workshop), 2019)

Adversarial Capsule Learning for Network Embedding. - Di Jin 001; Zhigang Li; Liang Yang 002; Dongxiao He; Pengfei Jiao; Lu Zhai (ICTAI, 2019)

Topology Optimization based Graph Convolutional Network. - Liang Yang 002; Zesheng Kang; Xiaochun Cao; Di Jin 001; Bo Yang 002; Yuanfang Guo (IJCAI, 2019)

An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph. - Dongxiao He; Wenze Song; Di Jin 001; Zhiyong Feng 002; Yuxiao Huang (IJCAI, 2019)

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Weixiong Zhang (IJCAI, 2019)

A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes. - Dongxiao He; Yue Song; Di Jin 001 (KSEM (1), 2019)

A Novel Generative Topic Embedding Model by Introducing Network Communities. - Di Jin 001; Jiantao Huang; Pengfei Jiao; Liang Yang 002; Dongxiao He; Françoise Fogelman-Soulié; Yuxiao Huang (WWW, 2019)

Morphological Verb-Aware Tibetan Language Model. - Kuntharrgyal Khysru; Di Jin 001; Jianwu Dang 001 (IEEE Access, 2019)

Combination of links and node contents for community discovery using a graph regularization approach. - Jinxin Cao; Hongcui Wang; Di Jin 001; Jianwu Dang 001 (Future Gener. Comput. Syst., 2019)

Scalable Community Identification with Manifold Learning on Speaker I-Vector Space. - Hongcui Wang; Shanshan Liu; Di Jin 001; Lantian Li; Jianwu Dang 001 (IEICE Trans. Inf. Syst., 2019)

Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. - Xiaobao Wang; Di Jin 001; Katarzyna Musial; Jianwu Dang 001 (AAAI, 2020)

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. - Liang Yang 002; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Lu Zhai; Di Jin 001; Yuanfang Guo (ICDM, 2020)

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. - Yunjiang Jiang; Yue Shang; Ziyang Liu 004; Hongwei Shen; Yun Xiao; Wei Xiong; Sulong Xu; Weipeng Yan; Di Jin 001 (ICDM, 2020)

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. - Hongyu Shan; Di Jin 001; Pengfei Jiao; Ziyang Liu 004; Bingyi Li; Yuxiao Huang (ICDM, 2020)

Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. - Yingkui Wang; Di Jin 001; Carl Yang 001; Jianwu Dang 001 (ICDM, 2020)

Community-Centric Graph Convolutional Network for Unsupervised Community Detection. - Dongxiao He; Yue Song; Di Jin 001; Zhiyong Feng 002; Binbin Zhang; Zhizhi Yu; Weixiong Zhang (IJCAI, 2020)

Adversarial Mutual Information Learning for Network Embedding. - Dongxiao He; Lu Zhai; Zhigang Li; Di Jin 001; Liang Yang 002; Yuxiao Huang; Philip S. Yu (IJCAI, 2020)

Graph Attention Topic Modeling Network. - Liang Yang 002; Fan Wu; Junhua Gu; Chuan Wang 002; Xiaochun Cao; Di Jin 001; Yuanfang Guo (WWW, 2020)

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (CoRR, 2020)

ModMRF: A modularity-based Markov Random Field method for community detection. - Di Jin 001; Binbin Zhang; Yue Song; Dongxiao He; Zhiyong Feng 002; Shizhan Chen; Weihao Li; Katarzyna Musial (Neurocomputing, 2020)

Modeling with Node Popularities for Autonomous Overlapping Community Detection. - Di Jin 001; Bingyi Li; Pengfei Jiao; Dongxiao He; Hongyu Shan; Weixiong Zhang (ACM Trans. Intell. Syst. Technol., 2020)

Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics. - Di Jin 001; Kunzeng Wang; Ge Zhang 002; Pengfei Jiao; Dongxiao He; Françoise Fogelman-Soulié; Xin Huang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Identification of Generalized Semantic Communities in Large Social Networks. - Di Jin 001; Xiaobao Wang; Mengquan Liu; Jianguo Wei; Wenhuan Lu; Françoise Fogelman-Soulié (IEEE Trans. Netw. Sci. Eng., 2020)

Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach. - Xin Sun; Xin Huang 001; Zitan Sun; Di Jin 001 (CIKM, 2021)

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. - Pengfei Jiao; Ruili Lu; Di Jin 001; Yinghui Wang; Huaming Wu (ICDM, 2021)

AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (ICDM, 2021)

Self-Guided Community Detection on Networks with Missing Edges. - Dongxiao He; Shuai Li; Di Jin 001; Pengfei Jiao; Yuxiao Huang (IJCAI, 2021)

Universal Graph Convolutional Networks. - Di Jin 001; Zhizhi Yu; Cuiying Huo; Rui Wang 102; Xiao Wang 017; Dongxiao He; Jiawei Han 001 (NeurIPS, 2021)

BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. - Di Jin 001; Xiangchen Song; Zhizhi Yu; Ziyang Liu 004; Heling Zhang; Zhaomeng Cheng; Jiawei Han 001 (WSDM, 2021)

Heterogeneous Graph Neural Network via Attribute Completion. - Di Jin 001; Cuiying Huo; Chundong Liang; Liang Yang 002 (WWW, 2021)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Philip S. Yu; Weixiong Zhang (CoRR, 2021)

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. - Ziyang Liu 004; Zhaomeng Cheng; Yunjiang Jiang; Yue Shang; Wei Xiong; Sulong Xu; Bo Long; Di Jin 001 (CoRR, 2021)

Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. - Tao Wang 074; Rui Wang 102; Di Jin 001; Dongxiao He; Yuxiao Huang (CoRR, 2021)

Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity. - Di Jin 001; Jing He; Bianfang Chai; Dongxiao He (Frontiers Comput. Sci., 2021)

A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words. - Kuntharrgyal Khysru; Di Jin 001; Yuxiao Huang; Hui Feng; Jianwu Dang 001 (IEEE Signal Process. Lett., 2021)

Robust Detection of Link Communities With Summary Description in Social Networks. - Di Jin 001; Xiaobao Wang; Dongxiao He; Jianwu Dang 001; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2021)

Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. - Tao Wang 074; Di Jin 001; Rui Wang 102; Dongxiao He; Yuxiao Huang (AAAI, 2022)

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. - Di Jin 001; Rui Wang 102; Meng Ge; Dongxiao He; Xiang Li 067; Wei Lin 022; Weixiong Zhang (IJCAI, 2022)

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Xiang Li 067; Fei Jiang 009; Wei Lin 022; Shirui Pan (IJCAI, 2022)

Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training. - Jiaxu He; Cheng Gong; Longbiao Wang; Di Jin 001; Xiaobao Wang; Junhai Xu; Jianwu Dang 001 (INTERSPEECH, 2022)

Inflation Improves Graph Neural Networks. - Dongxiao He; Rui Guo; Xiaobao Wang; Di Jin 001; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

Graph Neural Network for Higher-Order Dependency Networks. - Di Jin 001; Yingli Gong; Zhiqiang Wang; Zhizhi Yu; Dongxiao He; Yuxiao Huang; Wenjun Wang 002 (WWW, 2022)

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks. - Jinxin Cao; Weizhong Xu; Di Jin 001; Xiaofeng Zhang; Anthony Miller; Lu Liu 001; Weiping Ding 001 (IEEE Access, 2022)

Community Detection in Social Networks Considering Social Behaviors. - Yingkui Wang; Di Jin 001; Dongxiao He; Katarzyna Musial; Jianwu Dang 001 (IEEE Access, 2022)

Graph Neural Networks for Graphs with Heterophily: A Survey. - Xin Zheng 008; Yixin Liu 001; Shirui Pan; Miao Zhang; Di Jin 001; Philip S. Yu (CoRR, 2022)

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Wenhuan Lu; Di Jin 001; Junhai Xu; Lin Zhang; Yantao Ji; Jianwu Dang 001 (CoRR, 2022)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Di Jin 001; Cuiying Huo; Jianwu Dang 001; Peican Zhu; Weixiong Zhang; Witold Pedrycz; Lingfei Wu 001 (CoRR, 2022)

TeKo: Text-Rich Graph Neural Networks with External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Ziyang Liu 004; Yue Shang; Yun Xiao; Jiawei Han 001; Lingfei Wu 001 (CoRR, 2022)

Guest Editorial: Graph-powered machine learning in future-generation computing systems. - Shirui Pan; Shaoxiong Ji; Di Jin 001; Feng Xia 001; Philip S. Yu (Future Gener. Comput. Syst., 2022)

Fast Algorithms for Core Maximization on Large Graphs. - Xin Sun; Xin Huang 001; Di Jin 001 (Proc. VLDB Endow., 2022)

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. - Di Jin 001; Wenjun Wang 002; Guojie Song; Philip S. Yu; Jiawei Han 001 (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 002; Xiaobao Wang; Di Jin 001; Wenze Song; Yuxiao Huang (IEEE Trans. Big Data, 2022)

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. - Liang Yang 002; Yuanfang Guo; Junhua Gu; Di Jin 001; Bo Yang 002; Xiaochun Cao (IEEE Trans. Cybern., 2022)

Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. - Di Jin 001; Bingdao Feng; Siqi Guo 002; Xiaobao Wang; Jianguo Wei; Zhen Wang 004 (AAAI, 2023)

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. - Cuiying Huo; Di Jin 001; Yawen Li 001; Dongxiao He; Yu-Bin Yang; Lingfei Wu 001 (AAAI, 2023)

Trafformer: Unify Time and Space in Traffic Prediction. - Di Jin 001; Jiayi Shi; Rui Wang 102; Yawen Li 001; Yuxiao Huang; Yu-Bin Yang (AAAI, 2023)

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. - Xiaobao Wang; Yiqi Dong; Di Jin 001; Yawen Li 001; Longbiao Wang; Jianwu Dang 001 (AAAI, 2023)

Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Wenhuan Lu; Di Jin 001; Lin Zhang; Junhai Xu (ICASSP, 2023)

Contrastive Learning Meets Homophily: Two Birds with One Stone. - Dongxiao He; Jitao Zhao; Rui Guo; Zhiyong Feng 002; Di Jin 001; Yuxiao Huang; Zhen Wang 004; Weixiong Zhang (ICML, 2023)

Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. - Lingshan Li; Di Jin 001; Xiaobao Wang; Fengyu Guo; Longbiao Wang; Jianwu Dang 001 (ICTAI, 2023)

A Generalized Deep Markov Random Fields Framework for Fake News Detection. - Yiqi Dong; Dongxiao He; Xiaobao Wang; Yawen Li 001; Xiaowen Su; Di Jin 001 (IJCAI, 2023)

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. - Zhe Yu; Di Jin 001; Xiaobao Wang; Yawen Li 001; Longbiao Wang; Jianwu Dang 001 (IJCAI, 2023)

SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Yongwei Li; Junhai Xu; Di Jin 001; Jianhua Tao 001 (INTERSPEECH, 2023)

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. - Di Jin 001; Zhiqiang Wang; Cuiying Huo; Zhizhi Yu; Dongxiao He; Yuxiao Huang (KSEM (4), 2023)

Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. - Xuewei Li 001; Aitong Sun; Mankun Zhao; Jian Yu 003; Kun Zhu 006; Di Jin 001; Mei Yu 004; Ruiguo Yu (WSDM, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 022; Shirui Pan (WWW, 2023)

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. - Zhizhi Yu; Di Jin 001; Cuiying Huo; Zhiqiang Wang; Xiulong Liu; Heng Qi; Jia Wu 001; Lingfei Wu 001 (WWW, 2023)

Deep Graph Neural Networks via Flexible Subgraph Aggregation. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Di Jin 001; Carl Yang 001; Rui Zhang (CoRR, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 016; Shirui Pan (CoRR, 2023)

Knowledge graph completion using topological correlation and multi-perspective independence. - Mei Yu 004; Qianyu Zhang; Jian Yu 003; Mankun Zhao; Xuewei Li 001; Di Jin 001; Ming Yang; Ruiguo Yu (Knowl. Based Syst., 2023)

How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT. - Jiancheng Chi; Chao Xu; Tie Qiu 001; Di Jin 001; Zhaolong Ning; Mahmoud Daneshmand (IEEE Netw., 2023)

Amer: A New Attribute-Missing Network Embedding Approach. - Di Jin 001; Rui Wang 102; Tao Wang 074; Dongxiao He; Weiping Ding 001; Yuxiao Huang; Longbiao Wang; Witold Pedrycz (IEEE Trans. Cybern., 2023)

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. - Pengfei Jiao; Qiang Tian; Wang Zhang 001; Xuan Guo; Di Jin 001; Huaming Wu (IEEE Trans. Cybern., 2023)

Adversarial Representation Mechanism Learning for Network Embedding. - Dongxiao He; Tao Wang 074; Lu Zhai; Di Jin 001; Liang Yang 002; Yuxiao Huang; Zhiyong Feng 002; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. - Di Jin 001; Zhizhi Yu; Pengfei Jiao; Shirui Pan; Dongxiao He; Jia Wu 001; Philip S. Yu; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Embedding text-rich graph neural networks with sequence and topical semantic structures. - Zhizhi Yu; Di Jin 001; Ziyang Liu 004; Dongxiao He; Xiao Wang 017; Hanghang Tong; Jiawei Han 001 (Knowl. Inf. Syst., 2023)

GCN for HIN via Implicit Utilization of Attention and Meta-Paths. - Di Jin 001; Zhizhi Yu; Dongxiao He; Carl Yang 001; Philip S. Yu; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2023)

GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs. - Nan Jiang 013; Jie Wen; Jin Li 002; Ximeng Liu; Di Jin 001 (IEEE Trans. Knowl. Data Eng., 2023)

Self-supervised learning based domain regularization for mask-wearing speaker verification. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Wenhuan Lu; Di Jin 001; Lin Zhang; Yantao Ji; Junhai Xu (Speech Commun., 2023)

Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. - Ling Ding 001; Peng Du; Haiwei Hou; Jian Zhang 019; Di Jin 001; Shifei Ding (Big Data Res., 2023)

TMS: Temporal multi-scale in time-delay neural network for speaker verification. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Wenhuan Lu; Di Jin 001; Lin Zhang; Junhai Xu; Jianwu Dang 001 (Appl. Intell., 2023)

Exploring Temporal Community Structure via Network Embedding. - Tianpeng Li; Wenjun Wang 002; Pengfei Jiao; Yinghui Wang; Ruomeng Ding; Huaming Wu; Lin Pan 002; Di Jin 001 (IEEE Trans. Cybern., 2023)

A survey on fairness-aware recommender systems. - Di Jin 001; Luzhi Wang; He Zhang 012; Yizhen Zheng; Weiping Ding 001; Feng Xia 001; Shirui Pan (Inf. Fusion, 2023)

Learning Distinct Relationship in Package Recommendation With Graph Attention Networks. - Wei Lu; Nan Jiang 013; Di Jin 001; Honglong Chen; Ximeng Liu (IEEE Trans. Comput. Soc. Syst., 2023)

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 001; Di Jin 001 (AAAI, 2024)

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. - Luzhi Wang; Dongxiao He; He Zhang 012; Yixin Liu 001; Wenjie Wang; Shirui Pan; Di Jin 001; Tat-Seng Chua (AAAI, 2024)

Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Yongwei Li; Wenhuan Lu; Di Jin 001; Junhai Xu (ICASSP, 2024)

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way. - Xiaoyang Zou; Jinxin Cao; Hengrong Ju; Weiping Ding 001; Di Jin 001 (ICIC (12), 2024)

Multi-Modal Sarcasm Detection Based on Dual Generative Processes. - Huiying Ma; Dongxiao He; Xiaobao Wang; Di Jin 001; Meng Ge; Longbiao Wang (IJCAI, 2024)

Joint Domain Adaptive Graph Convolutional Network. - Niya Yang; Ye Wang; Zhizhi Yu; Dongxiao He; Xin Huang 001; Di Jin 001 (IJCAI, 2024)

Generalized Taxonomy-Guided Graph Neural Networks. - Yu Zhou 050; Di Jin 001; Jianguo Wei; Dongxiao He; Zhizhi Yu; Weixiong Zhang (IJCAI, 2024)

FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features. - Jitao Zhao; Di Jin 001; Meng Ge; Lianze Shan; Xin Wang 030; Dongxiao He; Zhiyong Feng 002 (NeurIPS, 2024)

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. - Jingbo Zhou; Yixuan Du; Ruqiong Zhang; Jun Xia 001; Zhizhi Yu; Zelin Zang; Di Jin 001; Carl Yang 001; Rui Zhang; Stan Z. Li (NeurIPS, 2024)

ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks. - Jinxin Cao; Xiaoyang Zou; Weizhong Xu; Weiping Ding 001; Hengrong Ju; Lu Liu 001; Fuxiang Chen; Di Jin 001 (Appl. Soft Comput., 2024)

KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction. - Huan Rong; Shengjie Sun; Tinghuai Ma; Di Jin 001; Victor S. Sheng (Knowl. Based Syst., 2024)

Backdoor attacks on unsupervised graph representation learning. - Bingdao Feng; Di Jin 001; Xiaobao Wang; Fangyu Cheng; Siqi Guo 002 (Neural Networks, 2024)

Survey of spectral clustering based on graph theory. - Ling Ding 001; Chao Li; Di Jin 001; Shifei Ding (Pattern Recognit., 2024)

Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal Transport. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Wenhuan Lu; Di Jin 001; Lin Zhang; Junhai Xu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Better value estimation in Q-learning-based multi-agent reinforcement learning. - Ling Ding 001; Wei Du 010; Jian Zhang 019; Lili Guo; Chenglong Zhang 001; Di Jin 001; Shifei Ding (Soft Comput., 2024)

Adaptive Multi-Channel Deep Graph Neural Networks. - Renbiao Wang; Fengtai Li; Shuwei Liu; Weihao Li; Shizhan Chen; Bin Feng; Di Jin 001 (Symmetry, 2024)

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study. - Kun Sun; Tian-Fang Zhao; Xiaokun Wu 004; Liang Yang 002; Di Jin 001; Wei-Neng Chen (IEEE Trans. Comput. Soc. Syst., 2024)

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. - Dongxiao He; Chundong Liang; Cuiying Huo; Zhiyong Feng 002; Di Jin 001; Liang Yang 002; Weixiong Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Comprehensive Survey on Community Detection With Deep Learning. - Xing Su 006; Shan Xue 001; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Di Jin 001; Quan Z. Sheng; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Contrastive Graph Similarity Networks. - Luzhi Wang; Yizhen Zheng; Di Jin 001; Fuyi Li; Yongliang Qiao; Shirui Pan (ACM Trans. Web, 2024)

Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation. - Mei Yu 004; Kun Zhu 006; Mankun Zhao; Jian Yu 003; Tianyi Xu; Di Jin 001; Xuewei Li 001; Ruiguo Yu (ACM Trans. Web, 2024)

CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph. - Huan Rong; Minfeng Qian; Tinghuai Ma; Di Jin 001; Victor S. Sheng (ACM Trans. Knowl. Discov. Data, 2024)

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature. - Cuiying Huo; Dongxiao He; Chundong Liang; Di Jin 001; Tie Qiu 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

TeKo: Text-Rich Graph Neural Networks With External Knowledge. - Zhizhi Yu; Di Jin 001; Jianguo Wei; Yawen Li 001; Ziyang Liu 004; Yue Shang; Jiawei Han 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. - Senzhang Wang; Changdong Wang 001; Di Jin 001; Shirui Pan; Philip S. Yu (IEEE Trans. Big Data, 2024)

Backdoor Attack on Propagation-based Rumor Detectors. - Di Jin 001; Yujun Zhang; Bingdao Feng; Xiaobao Wang; Dongxiao He; Zhen Wang 004 (AAAI, 2025)

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion. - Ling Ding 001; Lei Huang; Zhizhi Yu; Di Jin 001; Dongxiao He (AAAI, 2025)

Does 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 001; Yuxiao Huang; Zhen Wang 004 (AAAI, 2025)

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. - Songyuan Lei; Xinglong Chang; Zhizhi Yu; Dongxiao He; Cuiying Huo; Jianrong Wang; Di Jin 001 (AAAI, 2025)

Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily. - Siqi Liu; Dongxiao He; Zhizhi Yu; Di Jin 001; Zhiyong Feng 002; Weixiong Zhang (AAAI, 2025)

HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting. - Fengyu Yan; Xiaobao Wang; Dongxiao He; Longbiao Wang; Jianwu Dang 001; Di Jin 001 (AAAI, 2025)

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. - Zhizhi Yu; Chundong Liang; Xinglong Chang; Dongxiao He; Di Jin 001; Jianguo Wei (AAAI, 2025)

FitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job Fit. - Gaozhi Tang; Jianrong Wang; Xinglong Chang; Di Jin 001; Xiudong Han (CSCWD, 2025)

LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. - Di Jin 001; Cuiying Huo; Jiayi Shi; Dongxiao He; Jianguo Wei; Philip S. Yu (WWW, 2025)

Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks. - Siqi Liu; Dongxiao He; Zhizhi Yu; Di Jin 001; Zhiyong Feng 002 (Expert Syst. Appl., 2025)

Graph contrastive learning with multiple information fusion. - Xiaobao Wang; Jun Yang; Zhiqiang Wang; Dongxiao He; Jitao Zhao; Yuxiao Huang; Di Jin 001 (Expert Syst. Appl., 2025)

A unified framework of semi-supervised community detection integrating network topology and node content. - Jinxin Cao; Weizhong Xu; Di Jin 001; Xiaofeng Zhang; Lu Liu 001; Anthony Miller; Zhenquan Shi 001; Weiping Ding 001 (Inf. Sci., 2025)

A graph regularized overlapping community discovery framework with three-way decisions. - Xiaoyang Zou; Jinxin Cao; Hengrong Ju; Weiping Ding 001; Lu Liu 001; Fuxiang Chen; Di Jin 001 (Inf. Sci., 2025)

Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extraction. - Zechen Meng; Mankun Zhao; Jian Yu 003; Tianyi Xu; Xuewei Li 001; Di Jin 001; Ruiguo Yu; Mei Yu 004 (Neural Networks, 2025)

MAMBO-NET: Multi-causal aware modeling backdoor-intervention optimization for medical image segmentation network. - Ruiguo Yu; Yiyang Zhang; Yuan Tian; Yujie Diao; Di Jin 001; Witold Pedrycz (Pattern Recognit. Lett., 2025)

SHDA: Sinkhorn Domain Attention for Cross-Domain Audio Anti-Spoofing. - Ruiteng Zhang; Jianguo Wei; Xugang Lu; Lin Zhang; Di Jin 001; Junhai Xu; Wenhuan Lu (IEEE Trans. Inf. Forensics Secur., 2025)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Cuiying Huo; Dongxiao He; Yawen Li 001; Di Jin 001; Jianwu Dang 001; Witold Pedrycz; Lingfei Wu 001; Weixiong Zhang (ACM Trans. Intell. Syst. Technol., 2025)

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities. - Pengfei Jiao; Hongjiang Chen; Xuan Guo; Zhidong Zhao; Dongxiao He; Di Jin 001 (CoRR, 2025)

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. - Di Jin 001; Jingyi Cao; Xiaobao Wang; Bingdao Feng; Dongxiao He; Longbiao Wang; Jianwu Dang 001 (CoRR, 2025)

Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation. - Jian Wang; Jianrong Wang; Di Jin 001; Xinglong Chang (IEEE Trans. Knowl. Data Eng., 2025)

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. - Runze Li; Di Jin 001; Xiaobao Wang; Dongxiao He; Bingdao Feng; Zhen Wang 004 (CoRR, 2025)

Heterogeneous Temporal Hypergraph Neural Network. - Huan Liu; Pengfei Jiao; Mengzhou Gao 001; Chaochao Chen; Di Jin 001 (CoRR, 2025)

Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships. - Dongxiao He; Jitao Zhao; Rui Guo; Zhiyong Feng 002; Cuiying Huo; Di Jin 001; Witold Pedrycz; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2025)

Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection. - Xiaobao Wang; Yujing Wang; Dongxiao He; Zhe Yu; Yawen Li 001; Longbiao Wang; Jianwu Dang 001; Di Jin 001 (IEEE Trans. Knowl. Data Eng., 2025)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning. - Pengfei Jiao; Jialong Ni; Di Jin 001; Xuan Guo; Huan Liu; Hongjiang Chen; Yanxian Bi (CoRR, 2025)

TGFormer: Towards temporal graph transformer with auto-correlation mechanism. - Hongjiang Chen; Pengfei Jiao; Ming Du; Xuan Guo; Zhidong Zhao; Di Jin 001; Xiao Liu (Pattern Recognit., 2026)