Di Jin

According to our database, Di Jin authored at least 128 papers between 2009 and 2024.

Collaborative distances:

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

2024

A Comprehensive Survey on Community Detection With Deep Learning.

Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

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

Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study.

Kun Sun, Tian-Fang Zhao, Xiaokun Wu, Liang Yang, Di Jin, Wei-Neng Chen

IEEE Trans. Comput. Soc. Syst., April, 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

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

Learning Distinct Relationship in Package Recommendation With Graph Attention Networks.

Wei Lu, Nan Jiang, Di Jin, Honglong Chen, Ximeng Liu

IEEE Trans. Comput. Soc. Syst., December, 2023

A survey on fairness-aware recommender systems.

Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan

Inf. Fusion, December, 2023

Exploring Temporal Community Structure via Network Embedding.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin

IEEE Trans. Cybern., November, 2023

TMS: Temporal multi-scale in time-delay neural network for speaker verification.

Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu, Jianwu Dang

Appl. Intell., November, 2023

Self-supervised learning based domain regularization for mask-wearing speaker verification.

Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Yantao Ji, Junhai Xu

Speech Commun., July, 2023

GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs.

Nan Jiang, Jie Wen, Jin Li, Ximeng Liu, Di Jin

IEEE Trans. Knowl. Data Eng., June, 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

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.

Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu

IEEE Trans. Cybern., 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

How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT.

Jiancheng Chi, Chao Xu, Tie Qiu, Di Jin, Zhaolong Ning, Mahmoud Daneshmand

IEEE Netw., 2023

Deep Graph Neural Networks via Flexible Subgraph Aggregation.

Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang

CoRR, 2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.

Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu

Proceedings of the ACM Web Conference 2023, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

Proceedings of the ACM Web Conference 2023, 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

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection.

Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang

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

Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations.

Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang

Proceedings of the 35th IEEE International Conference on Tools with 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

Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification.

Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection.

Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang

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

Local-Global Defense against Unsupervised Adversarial Attacks on Graphs.

Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang

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

2022

Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.

Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao

IEEE Trans. Cybern., 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

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.

Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han

IEEE Trans. Big Data, 2022

Fast Algorithms for Core Maximization on Large Graphs.

Xin Sun, Xin Huang, Di Jin

Proc. VLDB Endow., 2022

Guest Editorial: Graph-powered machine learning in future-generation computing systems.

Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu

Future Gener. Comput. Syst., 2022

TeKo: Text-Rich Graph Neural Networks with External Knowledge.

Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu

CoRR, 2022

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

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

CoRR, 2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.

Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu

CoRR, 2022

TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding.

Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Junhai Xu, Lin Zhang, Yantao Ji, Jianwu Dang

CoRR, 2022

Graph Neural Networks for Graphs with Heterophily: A Survey.

Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu

CoRR, 2022

Community Detection in Social Networks Considering Social Behaviors.

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

IEEE Access, 2022

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks.

Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Anthony Miller, Lu Liu, Weiping Ding

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

Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training.

Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang

Proceedings of the Interspeech 2022, 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.

Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

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

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

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 Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words.

Kuntharrgyal Khysru, Di Jin, Yuxiao Huang, Hui Feng, Jianwu Dang

IEEE Signal Process. Lett., 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

Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.

Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin

CoRR, 2021

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

Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang

CoRR, 2021

Heterogeneous Graph Neural Network via Attribute Completion.

Di Jin, Cuiying Huo, Chundong Liang, Liang Yang

Proceedings of the WWW '21: The Web Conference 2021, 2021

BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.

Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han

Proceedings of the WSDM '21, 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

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

An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.

Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu

Proceedings of the IEEE International Conference on Data Mining, 2021

Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach.

Xin Sun, Xin Huang, Zitan Sun, Di Jin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Identification of Generalized Semantic Communities in Large Social Networks.

Di Jin, Xiaobao Wang, Mengquan Liu, Jianguo Wei, Wenhuan Lu, Françoise Fogelman-Soulié

IEEE Trans. Netw. Sci. Eng., 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

BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.

Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han

CoRR, 2020

Graph Attention Topic Modeling Network.

Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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

Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.

Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.

Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.

Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.

Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest.

Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scalable Community Identification with Manifold Learning on Speaker I-Vector Space.

Hongcui Wang, Shanshan Liu, Di Jin, Lantian Li, Jianwu Dang

IEICE Trans. Inf. Syst., 2019

Combination of links and node contents for community discovery using a graph regularization approach.

Jinxin Cao, Hongcui Wang, Di Jin, Jianwu Dang

Future Gener. Comput. Syst., 2019

Morphological Verb-Aware Tibetan Language Model.

Kuntharrgyal Khysru, Di Jin, Jianwu Dang

IEEE Access, 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

Topology Optimization based Graph Convolutional Network.

Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo

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

Community Detection in Social Networks Considering Topic Correlations.

Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang

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

Adaptive community detection incorporating topology and content in social networks^✰.

Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys

Knowl. Based Syst., 2018

Constrained common cluster based model for community detection in temporal and multiplex networks.

Pengfei Jiao, Wenjun Wang, Di Jin

Neurocomputing, 2018

Incorporating network structure with node contents for community detection on large networks using deep learning.

Jinxin Cao, Di Jin, Liang Yang, Jianwu Dang

Neurocomputing, 2018

A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.

Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents.

Jinxin Cao, Di Jin, Jianwu Dang

Proceedings of the Knowledge Science, Engineering and Management, 2018

Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.

Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang

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

3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.

Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao

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

Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs.

Yueqi Xin, Xin Wang, Di Jin, Simiao Wang

Proceedings of the Database Systems for Advanced Applications, 2018

Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention.

Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning.

Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li

Proceedings of the 27th International Conference on Computational Linguistics, 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

Tracking and Detecting Dynamic Communities with Node Popularity Preservation.

Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei

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

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

A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.

Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng

IEEE Trans. Cybern., 2015

Community detection with manifold learning on speaker i-vector space for Chinese.

Hongcui Wang, Di Jin, Lantian Li, Jianwu Dang

Proceedings of the INTERSPEECH 2015, 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

Decentralized mining social network communities with agents.

Jing Huang, Bo Yang, Di Jin, Yi Yang

Math. Comput. Model., 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

Hierarchical community detection with applications to real-world network analysis.

Bo Yang, Di Jin, Jiming Liu, Dayou Liu

Data Knowl. Eng., 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

Discovering link communities in complex networks by exploiting link dynamics

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

CoRR, 2013

Dialog Act classification in Chinese spoken language.

Peng Liu, Qingbua Hu, Jianwu Dang, Di Jin, Jinxin Cao

Proceedings of the International Conference on Machine Learning and Cybernetics, 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

2009

Fast Complex Network Clustering Algorithm Using Agents.

Di Jin, Dayou Liu, Bo Yang, Jie Liu

Proceedings of the Eighth IEEE International Conference on Dependable, 2009