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ORCIDDi Jin 0001
Person information
- affiliation: Tianjin University, College of Intelligence and Computing, China
- affiliation (former): Jilin University, Changchun, China
Other persons with the same name
- Di Jin — disambiguation page
- Di Jin 0002
![[0000-0002-6840-4189]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6840-4189")
— Technical University of Darmstadt, Germany - Di Jin 0003 — University of Michigan, USA (and 1 more)
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2020 – today
- 2024
[j46]Huan Rong, Shengjie Sun, Tinghuai Ma, Di Jin, Victor S. Sheng:
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction. Knowl. Based Syst. 284: 111297 (2024)- [j45]Kun Sun, Tian-Fang Zhao, Xiaokun Wu, Liang Yang, Di Jin, Wei-Neng Chen:
Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study. IEEE Trans. Comput. Soc. Syst. 11(2): 2121-2134 (2024) - [j44]Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng:
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph. ACM Trans. Knowl. Discov. Data 18(5): 116:1-116:56 (2024) - [j43]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): 4438-4450 (2024) - [j42]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:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [c72]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: 8354-8362 - [c71]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: 15537-15545 - [i26]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 abs/2401.06176 (2024) - 2023
- [j41]Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu, Jianwu Dang:
TMS: Temporal multi-scale in time-delay neural network for speaker verification. Appl. Intell. 53(22): 26497-26517 (2023) - [j40]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A survey on fairness-aware recommender systems. Inf. Fusion 100: 101906 (2023) - [j39]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): 613-640 (2023) - [j38]Jiancheng Chi, Chao Xu, Tie Qiu, Di Jin, Zhaolong Ning, Mahmoud Daneshmand:
How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT. IEEE Netw. 37(3): 126-131 (2023) - [j37]Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Yantao Ji, Junhai Xu:
Self-supervised learning based domain regularization for mask-wearing speaker verification. Speech Commun. 152: 102953 (2023) - [j36]Wei Lu, Nan Jiang, Di Jin, Honglong Chen, Ximeng Liu:
Learning Distinct Relationship in Package Recommendation With Graph Attention Networks. IEEE Trans. Comput. Soc. Syst. 10(6): 3308-3320 (2023) - [j35]Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu:
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism. IEEE Trans. Cybern. 53(1): 365-378 (2023) - [j34]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): 4306-4319 (2023) - [j33]Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin:
Exploring Temporal Community Structure via Network Embedding. IEEE Trans. Cybern. 53(11): 7021-7033 (2023) - [j32]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): 1149-1170 (2023) - [j31]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): 1200-1213 (2023) - [j30]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): 3925-3937 (2023) - [j29]Nan Jiang, Jie Wen, Jin Li, Ximeng Liu, Di Jin:
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs. IEEE Trans. Knowl. Data Eng. 35(6): 5865-5878 (2023) - [c70]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: 4339-4346 - [c69]Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang:
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. AAAI 2023: 4702-4710 - [c68]Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang:
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. AAAI 2023: 8105-8113 - [c67]Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu:
Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification. ICASSP 2023: 1-5 - [c66]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: 12775-12789 - [c65]Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang:
Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. ICTAI 2023: 918-925 - [c64]Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang:
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. IJCAI 2023: 2423-2431 - [c63]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: 4758-4765 - [c62]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: 56-68 - [c61]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. WWW 2023: 684-693 - [c60]Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. WWW 2023: 727-736 - [i25]Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu:
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. CoRR abs/2302.11396 (2023) - [i24]Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang:
Deep Graph Neural Networks via Flexible Subgraph Aggregation. CoRR abs/2305.05368 (2023) - [i23]Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan:
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. CoRR abs/2305.05848 (2023) - [i22]Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan:
A Survey on Fairness-aware Recommender Systems. CoRR abs/2306.00403 (2023) - 2022
- [j28]Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10: 109969-109982 (2022) - [j27]Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Anthony Miller, Lu Liu, Weiping Ding:
A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks. IEEE Access 10: 118141-118155 (2022) - [j26]Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu:
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126: 88-90 (2022) - [j25]Xin Sun, Xin Huang, Di Jin:
Fast Algorithms for Core Maximization on Large Graphs. Proc. VLDB Endow. 15(7): 1350-1362 (2022) - [j24]Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han:
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data. IEEE Trans. Big Data 8(4): 867-868 (2022) - [j23]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): 994-1006 (2022) - [j22]Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao:
Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model. IEEE Trans. Cybern. 52(4): 2123-2136 (2022) - [c59]Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. AAAI 2022: 4210-4218 - [c58]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI 2022: 2101-2107 - [c57]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: 2108-2114 - [c56]Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang:
Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training. INTERSPEECH 2022: 5538-5542 - [c55]Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang:
Inflation Improves Graph Neural Networks. WWW 2022: 1466-1474 - [c54]Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang:
Graph Neural Network for Higher-Order Dependency Networks. WWW 2022: 1622-1630 - [i21]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i20]Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Junhai Xu, Lin Zhang, Yantao Ji, Jianwu Dang:
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding. CoRR abs/2203.09098 (2022) - [i19]Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu:
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR abs/2205.00256 (2022) - [i18]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 abs/2205.12784 (2022) - [i17]Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan:
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR abs/2205.15083 (2022) - [i16]Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu:
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR abs/2206.07253 (2022) - [i15]Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang:
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. CoRR abs/2206.13953 (2022) - [i14]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 abs/2212.12738 (2022) - 2021
- [j21]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): 154324 (2021) - [j20]Kuntharrgyal Khysru, Di Jin, Yuxiao Huang, Hui Feng, Jianwu Dang:
A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words. IEEE Signal Process. Lett. 28: 459-463 (2021) - [j19]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): 2737-2749 (2021) - [c53]Xin Sun, Xin Huang, Zitan Sun, Di Jin:
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach. CIKM 2021: 1754-1763 - [c52]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: 837-846 - [c51]Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu:
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. ICDM 2021: 1144-1149 - [c50]Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang:
Self-Guided Community Detection on Networks with Missing Edges. IJCAI 2021: 3508-3514 - [c49]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c48]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM 2021: 157-165 - [c47]Di Jin, Cuiying Huo, Chundong Liang, Liang Yang:
Heterogeneous Graph Neural Network via Attribute Completion. WWW 2021: 391-400 - [i13]Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. CoRR abs/2101.01669 (2021) - [i12]Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin:
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. CoRR abs/2101.04850 (2021) - [i11]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:
A Comprehensive Survey on Community Detection with Deep Learning. CoRR abs/2105.12584 (2021) - [i10]Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang:
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. CoRR abs/2112.13562 (2021) - 2020
- [j18]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: 218-228 (2020) - [j17]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): 27:1-27:23 (2020) - [j16]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): 2144-2158 (2020) - [j15]Di Jin, Xiaobao Wang, Mengquan Liu, Jianguo Wei, Wenhuan Lu, Françoise Fogelman-Soulié:
Identification of Generalized Semantic Communities in Large Social Networks. IEEE Trans. Netw. Sci. Eng. 7(4): 2966-2979 (2020) - [c46]Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. AAAI 2020: 989-996 - [c45]Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin:
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. ICDM 2020: 212-221 - [c44]Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang:
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. ICDM 2020: 611-620 - [c43]Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang:
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks. ICDM 2020: 1244-1249 - [c42]Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo:
Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport. ICDM 2020: 1358-1363 - [c41]Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu:
Adversarial Mutual Information Learning for Network Embedding. IJCAI 2020: 3321-3327 - [c40]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: 3515-3521 - [c39]Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo:
Graph Attention Topic Modeling Network. WWW 2020: 144-154 - [i9]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 abs/2007.02643 (2020) - [i8]Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin:
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search. CoRR abs/2010.10442 (2020) - [i7]Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han:
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks. CoRR abs/2010.12157 (2020)
2010 – 2019
- 2019
- [j14]Kuntharrgyal Khysru, Di Jin, Jianwu Dang:
Morphological Verb-Aware Tibetan Language Model. IEEE Access 7: 72896-72904 (2019) - [j13]Jinxin Cao, Hongcui Wang, Di Jin, Jianwu Dang:
Combination of links and node contents for community discovery using a graph regularization approach. Future Gener. Comput. Syst. 91: 361-370 (2019) - [j12]Hongcui Wang, Shanshan Liu, Di Jin, Lantian Li, Jianwu Dang:
Scalable Community Identification with Manifold Learning on Speaker I-Vector Space. IEICE Trans. Inf. Syst. 102-D(10): 2004-2012 (2019) - [c38]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: 152-159 - [c37]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: 160-167 - [c36]Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Topic Correlations. AAAI 2019: 321-328 - [c35]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: 1763-1772 - [c34]Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan:
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network. ICANN (Workshop) 2019: 594-606 - [c33]Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai:
Adversarial Capsule Learning for Network Embedding. ICTAI 2019: 214-221 - [c32]Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang:
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI 2019: 2663-2669 - [c31]Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo:
Topology Optimization based Graph Convolutional Network. IJCAI 2019: 4054-4061 - [c30]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: 5730-5736 - [c29]Dongxiao He, Yue Song, Di Jin:
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes. KSEM (1) 2019: 168-175 - [c28]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: 2886-2892 - 2018
- [j11]Pengfei Jiao, Wenjun Wang, Di Jin:
Constrained common cluster based model for community detection in temporal and multiplex networks. Neurocomputing 275: 768-780 (2018) - [j10]Jinxin Cao, Di Jin, Liang Yang, Jianwu Dang:
Incorporating network structure with node contents for community detection on large networks using deep learning. Neurocomputing 297: 71-81 (2018) - [j9]Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys:
Adaptive community detection incorporating topology and content in social networks✰. Knowl. Based Syst. 161: 342-356 (2018) - [c27]Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang:
A Network-Specific Markov Random Field Approach to Community Detection. AAAI 2018: 306-313 - [c26]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: 314-321 - [c25]Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li:
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning. COLING 2018: 547-558 - [c24]Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li:
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention. COLING 2018: 1398-1409 - [c23]Yueqi Xin, Xin Wang, Di Jin, Simiao Wang:
Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs. DASFAA (1) 2018: 766-782 - [c22]Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He:
Edge Content Enhanced Network Embedding. ICTAI 2018: 900-907 - [c21]Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang:
Integrative Network Embedding via Deep Joint Reconstruction. IJCAI 2018: 3407-3413 - [c20]Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao:
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. IJCAI 2018: 3613-3619 - [c19]Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang:
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. IJCAI 2018: 3648-3654 - [c18]Jinxin Cao, Di Jin, Jianwu Dang:
Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents. KSEM (2) 2018: 184-196 - [c17]Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Robust Detection of Communities with Multi-semantics in Large Attributed Networks. KSEM (1) 2018: 362-376 - [c16]Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin:
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching. PAKDD (3) 2018: 218-230 - 2017
- [j8]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: 304-321 (2017) - [c15]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: 116-124 - [c14]Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM 2017: 675-682 - [c13]Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié:
Using Deep Learning for Community Discovery in Social Networks. ICTAI 2017: 160-167 - [c12]Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei:
Tracking and Detecting Dynamic Communities with Node Popularity Preservation. ICTAI 2017: 566-573 - [c11]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: 1182-1189 - 2016
- [j7]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: 121-134 (2016) - [c10]Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang:
Detect Overlapping Communities via Ranking Node Popularities. AAAI 2016: 172-178 - 2015
- [j6]Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng:
A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization. IEEE Trans. Cybern. 45(11): 2585-2598 (2015) - [c9]Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang:
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks. AAAI 2015: 130-136 - [c8]Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang:
Modeling with Node Degree Preservation Can Accurately Find Communities. AAAI 2015: 160-167 - [c7]Hongcui Wang, Di Jin, Lantian Li, Jianwu Dang:
Community detection with manifold learning on speaker i-vector space for Chinese. INTERSPEECH 2015: 3021-3025 - 2014
- [c6]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: 233-234 - 2013
- [j5]Bo Yang, Di Jin, Jiming Liu, Dayou Liu:
Hierarchical community detection with applications to real-world network analysis. Data Knowl. Eng. 83: 20-38 (2013) - [j4]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): 354-369 (2013) - [j3]Jing Huang, Bo Yang, Di Jin, Yi Yang:
Decentralized mining social network communities with agents. Math. Comput. Model. 57(11-12): 2998-3008 (2013) - [c5]Peng Liu, Qingbua Hu, Jianwu Dang, Di Jin, Jinxin Cao:
Dialog Act classification in Chinese spoken language. ICMLC 2013: 516-521 - [i6]Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang:
Discovering link communities in complex networks by exploiting link dynamics. CoRR abs/1303.4699 (2013) - [i5]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 abs/1303.4711 (2013) - [i4]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 abs/1303.5675 (2013) - [i3]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 abs/1303.5909 (2013) - [i2]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 abs/1303.5910 (2013) - [i1]Di Jin, Dayou Liu, Bo Yang, Jie Liu:
Fast Complex Network Clustering Algorithm Using Agents. CoRR abs/1303.5912 (2013) - 2012
- [j2]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. Adv. Complex Syst. 15(8) (2012) - 2011
- [j1]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. Adv. Complex Syst. 14(5): 795-815 (2011) - [c4]Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia:
Ant colony optimization for community detection in large-scale complex networks. ICNC 2011: 1151-1155 - [c3]Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He:
Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs. PAKDD (2) 2011: 123-134 - 2010
- [c2]Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero:
Genetic Algorithm with Local Search for Community Mining in Complex Networks. ICTAI (1) 2010: 105-112
2000 – 2009
Coauthor Index
[j43] [c72] [c71] [i26] [j39] [j34] [j32] [j31] [j30] [c70] [c66] [c63] [c62] [j28] [j23] [c59] [c57] [c55] [c54] [i18] [i15] [i14] [j21] [j19] [c52] [c50] [c49] [i10] [j18] [j17] [j16] [c41] [c40] [i9] [c38] [c37] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [c22] [c21] [c17] [j8] [c15] [c14] [c13] [c11] [j7] [c10] [c9] [c8] [c6] [j4] [i6] [i5] [i4] [i3] [i2] [j2] [j1] [c4] [c3] [c2]
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