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2020 – today
- 2025
[j33]Siqi Liu
, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng:
Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks. Expert Syst. Appl. 259: 125274 (2025)- [j32]Xiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin:
Graph contrastive learning with multiple information fusion. Expert Syst. Appl. 268: 126129 (2025) - 2024
- [j31]Jitao Zhao, Dongxiao He, Meng Ge, Yongqi Huang, Lianze Shan, Yongbin Qin, Zhiyong Feng:
GA-GGD: Improving semantic discriminability in graph contrastive learning via Generative Adversarial Network. Inf. Fusion 110: 102465 (2024) - [j30]Ruiguo Yu, Yingzhou Sun, Dongxiao He, Jie Gao, Zhiqiang Liu, Mei Yu:
Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction. Int. J. Mach. Learn. Cybern. 15(1): 51-63 (2024) - [j29]Mankun Zhao, Aitong Sun, Jian Yu, Xuewei Li, Dongxiao He, Ruiguo Yu, Mei Yu:
Reliable Data Augmented Contrastive Learning for Sequential Recommendation. IEEE Trans. Big Data 10(6): 694-705 (2024) - [j28]Yawen Li, Zhizhi Yu, Dongxiao He:
Text-Rich Graph Neural Networks With Subjective-Objective Semantic Modeling. IEEE Trans. Knowl. Data Eng. 36(9): 4956-4967 (2024) - [j27]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) - [j26]Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu:
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14205-14217 (2024) - [c69]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 - [c68]Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng:
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. AAAI 2024: 12340-12348 - [c67]Dongxiao He, Shuwei Liu, Meng Ge, Zhizhi Yu, Guangquan Xu, Zhiyong Feng:
Improving Distinguishability of Class for Graph Neural Networks. AAAI 2024: 12349-12357 - [c66]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 - [c65]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-World Graph Learning. DASFAA (6) 2024: 117-133 - [c64]Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang:
Multi-Modal Sarcasm Detection Based on Dual Generative Processes. IJCAI 2024: 2279-2287 - [c63]Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin:
Joint Domain Adaptive Graph Convolutional Network. IJCAI 2024: 2496-2504 - [c62]Zhizhi Yu, Bin Feng, Dongxiao He, Zizhen Wang, Yuxiao Huang, Zhiyong Feng:
LG-GNN: Local-Global Adaptive Graph Neural Network for Modeling Both Homophily and Heterophily. IJCAI 2024: 2515-2523 - [c61]Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang:
Generalized Taxonomy-Guided Graph Neural Networks. IJCAI 2024: 2616-2624 - [c60]Dongxiao He, Jinghan Zhang, Xiaobao Wang, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma:
TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System. ACM Multimedia 2024: 5856-5864 - [c59]Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang:
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering. NeurIPS 2024 - [c58]Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng:
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features. NeurIPS 2024 - [c57]Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang:
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs. NeurIPS 2024 - [c56]Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo:
GAUSS: GrAph-customized Universal Self-Supervised Learning. WWW 2024: 582-593 - [c55]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang:
Graph Contrastive Learning Reimagined: Exploring Universality. WWW 2024: 641-651 - [i19]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) - [i18]Yucheng Jin, Yun Xiong, Juncheng Fang, Xixi Wu, Dongxiao He, Xing Jia, Bingchen Zhao, Philip S. Yu:
Beyond the Known: Novel Class Discovery for Open-world Graph Learning. CoRR abs/2403.19907 (2024) - [i17]Sheng Wu, Jiaxing Liu, Longbiao Wang, Dongxiao He, Xiaobao Wang, Jianwu Dang:
AIMDiT: Modality Augmentation and Interaction via Multimodal Dimension Transformation for Emotion Recognition in Conversations. CoRR abs/2407.00743 (2024) - [i16]Sheng Wu, Xiaobao Wang, Longbiao Wang, Dongxiao He, Jianwu Dang:
Enriching Multimodal Sentiment Analysis through Textual Emotional Descriptions of Visual-Audio Content. CoRR abs/2412.10460 (2024) - [i15]Jingyu Li, Zhiyong Feng, Dongxiao He, Hongqi Chen, Qinghang Gao, Guoli Wu:
Contrastive Representation for Interactive Recommendation. CoRR abs/2412.18396 (2024) - 2023
- [j25]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) - [j24]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) - [j23]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) - [j22]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) - [j21]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) - [j20]Pengfei Jiao, Tianpeng Li, Yingjie Xie, Yinghui Wang, Wenjun Wang, Dongxiao He, Huaming Wu:
Generative Evolutionary Anomaly Detection in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12234-12248 (2023) - [j19]Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang:
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8310-8323 (2023) - [c54]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 - [c53]Liang Yang, Jiayi Wang, Dongxiao He, Chuan Wang, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Graph Reciprocal Neural Networks by Abstracting Node as Attribute. ICDM 2023: 1463-1468 - [c52]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 - [c51]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 - [c50]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 - [c49]Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Yuanfang Guo, Zhen Wang, Chuan Wang, Xiaochun Cao, Liang Yang:
Propagation is All You Need: A New Framework for Representation Learning and Classifier Training on Graphs. ACM Multimedia 2023: 481-489 - [c48]Liang Yang, Jiayi Wang, Tingting Zhang, Dongxiao He, Chuan Wang, Yuanfang Guo, Xiaochun Cao, Bingxin Niu, Zhen Wang:
Long Short-Term Graph Memory Against Class-imbalanced Over-smoothing. ACM Multimedia 2023: 2955-2963 - [c47]Liang Yang, Qiuliang Zhang, Runjie Shi, Wenmiao Zhou, Bingxin Niu, Chuan Wang, Xiaochun Cao, Dongxiao He, Zhen Wang, Yuanfang Guo:
Graph Neural Networks without Propagation. WWW 2023: 469-477 - 2022
- [j18]Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang:
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10: 109969-109982 (2022) - [j17]Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang, Yuxiao Huang:
Identification of Communities With Multi-Semantics via Bayesian Generative Model. IEEE Trans. Big Data 8(4): 869-881 (2022) - [j16]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) - [j15]Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7400-7413 (2022) - [c46]Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. AAAI 2022: 4022-4029 - [c45]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 - [c44]Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao:
Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing. AAAI 2022: 4327-4336 - [c43]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 - [c42]Liang Yang, Weihang Peng, Wenmiao Zhou, Bingxin Niu, Junhua Gu, Chuan Wang, Yuanfang Guo, Dongxiao He, Xiaochun Cao:
Difference Residual Graph Neural Networks. ACM Multimedia 2022: 3356-3364 - [c41]Liang Yang, Lina Kang, Qiuliang Zhang, Mengzhe Li, Bingxin Niu, Dongxiao He, Zhen Wang, Chuan Wang, Xiaochun Cao, Yuanfang Guo:
OPEN: Orthogonal Propagation with Ego-Network Modeling. NeurIPS 2022 - [c40]Liang Yang, Wenmiao Zhou, Weihang Peng, Bingxin Niu, Junhua Gu, Chuan Wang, Xiaochun Cao, Dongxiao He:
Graph Neural Networks Beyond Compromise Between Attribute and Topology. WWW 2022: 1127-1135 - [c39]Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang:
Inflation Improves Graph Neural Networks. WWW 2022: 1466-1474 - [c38]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 - [i14]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) - [i13]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) - [i12]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
- [j14]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) - [j13]Qianren Mao, Xi Li, Hao Peng, Jianxin Li, Dongxiao He, Shu Guo, Min He, Lihong Wang:
Event prediction based on evolutionary event ontology knowledge. Future Gener. Comput. Syst. 115: 76-89 (2021) - [j12]Dongxiao He, Youyou Wang, Jinxin Cao, Weiping Ding, Shizhan Chen, Zhiyong Feng, Bo Wang, Yuxiao Huang:
A network embedding-enhanced Bayesian model for generalized community detection in complex networks. Inf. Sci. 575: 306-322 (2021) - [j11]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) - [c37]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 - [c36]Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang:
Self-Guided Community Detection on Networks with Missing Edges. IJCAI 2021: 3508-3514 - [c35]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. NAACL-HLT 2021: 3259-3265 - [c34]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [i11]Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu:
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. CoRR abs/2104.05220 (2021) - [i10]Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao, Zhiyong Feng:
Block Modeling-Guided Graph Convolutional Neural Networks. CoRR abs/2112.13507 (2021) - [i9]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
- [j10]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) - [j9]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) - [j8]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) - [c33]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 - [c32]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 - [i8]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)
2010 – 2019
- 2019
- [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai:
Adversarial Capsule Learning for Network Embedding. ICTAI 2019: 214-221 - [c26]Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang:
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks. IJCAI 2019: 2663-2669 - [c25]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 - [c24]Dongxiao He, Yue Song, Di Jin:
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes. KSEM (1) 2019: 168-175 - [c23]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
- [j7]You Li, Xia Lei, Wanbin Tang, Dongxiao He, Yue Xiao, Wei Xiang:
Performance Analysis of MMSE Pre-Coding Aided Spatial Modulation. IEEE Access 6: 44835-44845 (2018) - [j6]Yue Xiao, Feng Yu, Xia Lei, Dongxiao He, Ping Yang, Wei Xiang:
Performance Analysis for the N-Continuous Precoded SM-OFDM System. IEEE Trans. Veh. Technol. 67(1): 483-493 (2018) - [c22]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 - [c21]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 - [c20]Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He:
Edge Content Enhanced Network Embedding. ICTAI 2018: 900-907 - [c19]Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Keman Huang, Zhenzhu Wang, Françoise Fogelman-Soulié:
A Probabilistic Model for Service Clustering - Jointly Using Service Invocation and Service Characteristics. ICWS 2018: 302-305 - [c18]Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang:
Integrative Network Embedding via Deep Joint Reconstruction. IJCAI 2018: 3407-3413 - [c17]Hongcui Wang, Dongxiao He, Jianwu Dang, Xi Liang:
Manifold-based incremental community detection method for online speaker identification. ISCSLP 2018: 300-303 - [c16]Xiaoli Hu, Zhiyong Feng, Shizhan Chen, Dongxiao He, Keman Huang:
Quantifying the Emergence of New Domains: Using Cybersecurity as a Case. KSEM (2) 2018: 324-336 - [c15]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 - [c14]Dongxiao He, Xue Yang, Zhiyong Feng, Shizhan Chen, Françoise Fogelman-Soulié:
A Network Embedding-Enhanced Approach for Generalized Community Detection. KSEM (2) 2018: 383-395 - 2017
- [j5]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) - [c13]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 - [c12]Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial:
Adaptive Community Detection Incorporating Topology and Content in Social Networks. ASONAM 2017: 675-682 - [c11]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 - [c10]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
- [j4]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) - [c9]Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang:
Detect Overlapping Communities via Ranking Node Popularities. AAAI 2016: 172-178 - [c8]Siwen Yin, Shizhan Chen, Zhiyong Feng, Keman Huang, Dongxiao He, Peng Zhao, Michael Ying Yang:
Node-Grained Incremental Community Detection for Streaming Networks. ICTAI 2016: 585-592 - [c7]Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang:
Modularity Based Community Detection with Deep Learning. IJCAI 2016: 2252-2258 - 2015
- [c6]Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang:
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks. AAAI 2015: 130-136 - [c5]Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang:
Modeling with Node Degree Preservation Can Accurately Find Communities. AAAI 2015: 160-167 - 2014
- [c4]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
- [j3]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) - [i7]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) - [i6]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) - [i5]Dongxiao He, Zhe Wang, Bin Yang, Chunguang Zhou:
Genetic Algorithm with Ensemble Learning for Detecting Community Structure in Complex Networks. CoRR abs/1303.5673 (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]Dongxiao He, Weixiong Zhang:
Identification of hybrid node and link communities in complex networks. CoRR abs/1308.3438 (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) - [c3]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 - [c2]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
- [c1]Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero:
Genetic Algorithm with Local Search for Community Mining in Complex Networks. ICTAI (1) 2010: 105-112
Coauthor Index
[j33] [j32] [j27] [j26] [c69] [c66] [c64] [c63] [c61] [c58] [i19] [j25] [j24] [j23] [j22] [j21] [c54] [c52] [c51] [c50] [j18] [j16] [c45] [c43] [c39] [c38] [i14] [i13] [i12] [j14] [j11] [c37] [c36] [c34] [i9] [j10] [j9] [j8] [c33] [c32] [i8] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c18] [c15] [j5] [c13] [c12] [c11] [c10] [j4] [c9] [c6] [c5] [c4] [j3] [i7] [i6] [i4] [i3] [i2] [j2] [j1] [c3] [c2] [c1]
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