Di Jin

229 papers A* 79A 7B 9C 2Misc 4Journal 116Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion.
AAAI
Ling Ding, Zhizhi Yu, Di Jin, Lei Huang
2026 A* conf
Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs.
WWW
Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang
2026 A* conf
DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.
AAAI
Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026 J jnl
GP2F: Cross-Domain Graph Prompting with Adaptive Fusion of Pre-trained Graph Neural Networks.
CoRR
Dongxiao He, Wenxuan Sun, Yongqi Huang, Jitao Zhao, Di Jin
2026 J jnl
Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection.
IEEE Trans. Affect. Comput.
Xiaobao Wang, Meng Ge, Lingshan Li, Di Jin, Kai He, Erik Cambria
2026 A* conf
IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization.
WWW
Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li
2026 A* conf
Integrated Mixture of Neighborhood and Community Experts for Graph-Based Fraud Detection.
WWW
Zhizhi Yu, Di Jin, Dongxiao He, Wenhuan Lu, Jianguo Wei
2026 J jnl
LWDiffusion: Node role detection in complex networks via legendre wavelet diffusion model.
Inf. Sci.
Yanfei Liu, Dezhi Liu, Di Jin, Wenjun Wang, Xiaoyang Zheng, Chengbo Yu
2026 A* conf
Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment.
AAAI
Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He
2026 J jnl
Sentiment Variation-Aware Sentiment Spike Explanation During COVID-19 Epidemic.
IEEE Trans. Knowl. Data Eng.
Yawen Li, Xiaobao Wang, Bin Wen, Di Jin, Junping Du
2026 A* conf
Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning.
AAAI
Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He
2026 J jnl
TGFormer: Towards temporal graph transformer with auto-correlation mechanism.
Pattern Recognit.
Hongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin, Xiao Liu
2026 A* conf
Towards Graph Foundation Model: Node Feature Transfer Invariant Modeling on General Graphs.
WWW
Jitao Zhao, Yi Wang, Yawen Li, Dongxiao He, Di Jin, Zhiyong Feng, Weixiong Zhang
2026 J jnl
Unified Multi-Domain Graph Pre-training for Homogeneous and Heterogeneous Graphs via Domain-Specific Expert Encoding.
CoRR
Chundong Liang, Yongqi Huang, Dongxiao He, Peiyuan Li, Yawen Li, Di Jin, Weixiong Zhang
2026 J jnl
Unifying heterophily and oversmoothing in graph neural networks via feature spectral diversity.
Inf. Sci.
Renbiao Wang, Di Jin, Zhizhi Yu
2026 A* conf
Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms.
WWW
Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang
2026 J jnl
Unveiling Fine-Grained Deceptive Patterns in Multimodal Fake News: An Explainable Neuro-Symbolic Framework With LVLMs.
IEEE Trans. Pattern Anal. Mach. Intell.
Dongxiao He, Yiqi Dong, Xiaobao Wang, Meng Ge, Carl Yang, Di Jin, Witold Pedrycz
2025 A* conf
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection.
IJCAI
Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He
2025 J jnl
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection.
CoRR
Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He
2025 A* conf
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
IJCAI
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and Opportunities.
CoRR
Pengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin
2025 J jnl
A graph regularized overlapping community discovery framework with three-way decisions.
Inf. Sci.
Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Lu Liu, Fuxiang Chen, Di Jin
2025 J jnl
A unified framework of semi-supervised community detection integrating network topology and node content.
Inf. Sci.
Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Lu Liu, Anthony Miller, Zhenquan Shi, Weiping Ding
2025 A* conf
Attribute Association Driven Multi-Task Learning for Session-based Recommendation.
IJCAI
Xinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang, Jianguo Wei, Di Jin
2025 A* conf
Backdoor Attack on Propagation-based Rumor Detectors.
AAAI
Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang
2025 J jnl
Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional Networks.
Expert Syst. Appl.
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng
2025 A* conf
Disentangled Graph Spectral Domain Adaptation.
ICML
Liang Yang, Xin Chen, Jiaming Zhuo, Di Jin, Chuan Wang, Xiaochun Cao, Zhen Wang, Yuanfang Guo
2025 J jnl
Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Cuiying Huo, Di Jin, Witold Pedrycz, Weixiong Zhang
2025 A* conf
Do We Really Need Message Passing in Brain Network Modeling?
ICML
Liang Yang, Yuwei Liu, Jiaming Zhuo, Di Jin, Chuan Wang, Zhen Wang, Xiaochun Cao
2025 A* conf
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
AAAI
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 J jnl
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Di Jin, Yuxiao Huang, Zhen Wang
2025 A* conf
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection.
AAAI
Zhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin, Jianguo Wei
2025 J jnl
Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm Detection.
IEEE Trans. Knowl. Data Eng.
Xiaobao Wang, Yujing Wang, Dongxiao He, Zhe Yu, Yawen Li, Longbiao Wang, Jianwu Dang, Di Jin
2025 A* conf
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks.
IJCAI
Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang
2025 A* conf
Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation.
AAAI
Songyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin
2025 C conf
FitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job Fit.
CSCWD
Gaozhi Tang, Jianrong Wang, Xinglong Chang, Di Jin, Xiudong Han
2025 J jnl
Graph contrastive learning with multiple information fusion.
Expert Syst. Appl.
Xiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin
2025 A* conf
HGMP: Heterogeneous Graph Multi-Task Prompt Learning.
IJCAI
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 J jnl
HGMP:Heterogeneous Graph Multi-Task Prompt Learning.
CoRR
Pengfei Jiao, Jialong Ni, Di Jin, Xuan Guo, Huan Liu, Hongjiang Chen, Yanxian Bi
2025 A* conf
HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting.
AAAI
Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin
2025 J jnl
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
ACM Trans. Intell. Syst. Technol.
Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Witold Pedrycz, Lingfei Wu, Weixiong Zhang
2025 A* conf
Heterogeneous Temporal Hypergraph Neural Network.
IJCAI
Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025 J jnl
Heterogeneous Temporal Hypergraph Neural Network.
CoRR
Huan Liu, Pengfei Jiao, Mengzhou Gao, Chaochao Chen, Di Jin
2025 J jnl
Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation.
IEEE Trans. Knowl. Data Eng.
Jian Wang, Jianrong Wang, Di Jin, Xinglong Chang
2025 A* conf
Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under Heterophily.
AAAI
Siqi Liu, Dongxiao He, Zhizhi Yu, Di Jin, Zhiyong Feng, Weixiong Zhang
2025 A* conf
LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction.
WWW
Di Jin, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu
2025 J jnl
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network.
CoRR
Ruiguo Yu, Yiyang Zhang, Yuan Tian, Yujie Diao, Di Jin, Witold Pedrycz
2025 J jnl
MAMBO-NET: Multi-causal aware modeling backdoor-intervention optimization for medical image segmentation network.
Pattern Recognit. Lett.
Ruiguo Yu, Yiyang Zhang, Yuan Tian, Yujie Diao, Di Jin, Witold Pedrycz
2025 — conf
Multi-range Random Walk Based Graph Neural Network.
ICIC (10)
Ziyu Guo, Meng Ge, Xiaobao Wang, Di Jin
2025 J jnl
One Prompt Fits All: Universal Graph Adaptation for Pretrained Models.
CoRR
Yongqi Huang, Jitao Zhao, Dongxiao He, Xiaobao Wang, Yawen Li, Yuxiao Huang, Di Jin, Zhiyong Feng
2025 J jnl
Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extraction.
Neural Networks
Zechen Meng, Mankun Zhao, Jian Yu, Tianyi Xu, Xuewei Li, Di Jin, Ruiguo Yu, Mei Yu
2025 A* conf
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.
IJCAI
Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025 J jnl
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective.
CoRR
Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang
2025 J jnl
SHDA: Sinkhorn Domain Attention for Cross-Domain Audio Anti-Spoofing.
IEEE Trans. Inf. Forensics Secur.
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Lin Zhang, Di Jin, Junhai Xu, Wenhuan Lu
2025 J jnl
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.
CoRR
Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025 A* conf
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.
IJCAI
Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025 J jnl
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems.
CoRR
Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang
2025 J jnl
Stealthy Yet Effective: Distribution-Preserving Backdoor Attacks on Graph Classification.
CoRR
Xiaobao Wang, Ruoxiao Sun, Yujun Zhang, Bingdao Feng, Dongxiao He, Luzhi Wang, Di Jin
2025 A* conf
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion.
AAAI
Ling Ding, Lei Huang, Zhizhi Yu, Di Jin, Dongxiao He
2025 A* conf
Universal Graph Self-Contrastive Learning.
IJCAI
Liang Yang, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin, Ziyi Ma, Yuanfang Guo, Chuan Wang, Zhen Wang
2024 J jnl
A Comprehensive Survey on Community Detection With Deep Learning.
IEEE Trans. Neural Networks Learn. Syst.
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
2024 J jnl
Adaptive Multi-Channel Deep Graph Neural Networks.
Symmetry
Renbiao Wang, Fengtai Li, Shuwei Liu, Weihao Li, Shizhan Chen, Bin Feng, Di Jin
2024 J jnl
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
2024 J jnl
Backdoor attacks on unsupervised graph representation learning.
Neural Networks
Bingdao Feng, Di Jin, Xiaobao Wang, Fangyu Cheng, Siqi Guo
2024 J jnl
Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput.
Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding
2024 J jnl
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph.
ACM Trans. Knowl. Discov. Data
Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng
2024 J jnl
Community Detection on Social Networks With Sentimental Interaction.
Int. J. Web Inf. Syst.
Bingdao Feng, Fangyu Cheng, Yanfei Liu, Xinglong Chang, Xiaobao Wang, Di Jin
2024 J jnl
Contrastive Graph Similarity Networks.
ACM Trans. Web
Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
2024 A* conf
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module.
NeurIPS
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
2024 J jnl
ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks.
Appl. Soft Comput.
Jinxin Cao, Xiaoyang Zou, Weizhong Xu, Weiping Ding, Hengrong Ju, Lu Liu, Fuxiang Chen, Di Jin
2024 A* conf
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features.
NeurIPS
Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng
2024 — conf
GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way.
ICIC (12)
Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Di Jin
2024 A* conf
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection.
AAAI
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024 J jnl
GOODAT: Towards Test-time Graph Out-of-Distribution Detection.
CoRR
Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua
2024 A* conf
Generalized Taxonomy-Guided Graph Neural Networks.
IJCAI
Yu Zhou, Di Jin, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang
2024 J jnl
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems.
IEEE Trans. Big Data
Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu
2024 A* conf
Joint Domain Adaptive Graph Convolutional Network.
IJCAI
Niya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang, Di Jin
2024 J jnl
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction.
Knowl. Based Syst.
Huan Rong, Shengjie Sun, Tinghuai Ma, Di Jin, Victor S. Sheng
2024 J jnl
Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation.
ACM Trans. Web
Mei Yu, Kun Zhu, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin, Xuewei Li, Ruiguo Yu
2024 J jnl
Mining Multiplatform Opinions During Public Health Crisis: A Comparative Study.
IEEE Trans. Comput. Soc. Syst.
Kun Sun, Tian-Fang Zhao, Xiaokun Wu, Liang Yang, Di Jin, Wei-Neng Chen
2024 A* conf
Multi-Modal Sarcasm Detection Based on Dual Generative Processes.
IJCAI
Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang
2024 Misc conf
Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition.
ICASSP
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Wenhuan Lu, Di Jin, Junhai Xu
2024 J jnl
Survey of spectral clustering based on graph theory.
Pattern Recognit.
Ling Ding, Chao Li, Di Jin, Shifei Ding
2024 J jnl
TeKo: Text-Rich Graph Neural Networks With External Knowledge.
IEEE Trans. Neural Networks Learn. Syst.
Zhizhi Yu, Di Jin, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han, Lingfei Wu
2024 J jnl
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.
IEEE Trans. Neural Networks Learn. Syst.
Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu
2024 J jnl
Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal Transport.
IEEE ACM Trans. Audio Speech Lang. Process.
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu
2024 A* conf
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.
AAAI
Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin
2023 A* conf
A Generalized Deep Markov Random Fields Framework for Fake News Detection.
IJCAI
Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin
2023 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang
2023 J jnl
A Survey on Fairness-aware Recommender Systems.
CoRR
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023 J jnl
A survey on fairness-aware recommender systems.
Inf. Fusion
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
2023 J jnl
Adversarial Representation Mechanism Learning for Network Embedding.
IEEE Trans. Knowl. Data Eng.
Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu
2023 J jnl
Amer: A New Attribute-Missing Network Embedding Approach.
IEEE Trans. Cybern.
Di Jin, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding, Yuxiao Huang, Longbiao Wang, Witold Pedrycz
2023 A* conf
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection.
AAAI
Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang
2023 J jnl
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding.
Big Data Res.
Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding
2023 A* conf
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection.
IJCAI
Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang
2023 A* conf
Contrastive Learning Meets Homophily: Two Birds with One Stone.
ICML
Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang
2023 J jnl
Deep Graph Neural Networks via Flexible Subgraph Aggregation.
CoRR
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Di Jin, Carl Yang, Rui Zhang
2023 A* conf
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
WWW
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
Embedding text-rich graph neural networks with sequence and topical semantic structures.
Knowl. Inf. Syst.
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2023 J jnl
Exploring Temporal Community Structure via Network Embedding.
IEEE Trans. Cybern.
Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin
2023 J jnl
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs.
IEEE Trans. Knowl. Data Eng.
Nan Jiang, Jie Wen, Jin Li, Ximeng Liu, Di Jin
2023 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-Paths.
IEEE Trans. Knowl. Data Eng.
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2023 J jnl
How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoT.
IEEE Netw.
Jiancheng Chi, Chao Xu, Tie Qiu, Di Jin, Zhaolong Ning, Mahmoud Daneshmand
2023 A* conf
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
WWW
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.
CoRR
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
2023 J jnl
Knowledge graph completion using topological correlation and multi-perspective independence.
Knowl. Based Syst.
Mei Yu, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li, Di Jin, Ming Yang, Ruiguo Yu
2023 J jnl
Learning Distinct Relationship in Package Recommendation With Graph Attention Networks.
IEEE Trans. Comput. Soc. Syst.
Wei Lu, Nan Jiang, Di Jin, Honglong Chen, Ximeng Liu
2023 A* conf
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs.
AAAI
Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang
2023 — conf
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.
KSEM (4)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
2023 A conf
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation.
WSDM
Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu
2023 B conf
Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations.
ICTAI
Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang
2023 Misc conf
Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker Verification.
ICASSP
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu
2023 J jnl
Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism.
IEEE Trans. Cybern.
Pengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin, Huaming Wu
2023 A conf
SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition.
INTERSPEECH
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Junhai Xu, Di Jin, Jianhua Tao
2023 J jnl
Self-supervised learning based domain regularization for mask-wearing speaker verification.
Speech Commun.
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Yantao Ji, Junhai Xu
2023 A* conf
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
AAAI
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2023 J jnl
TMS: Temporal multi-scale in time-delay neural network for speaker verification.
Appl. Intell.
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu, Jianwu Dang
2023 A* conf
Trafformer: Unify Time and Space in Traffic Prediction.
AAAI
Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang
2022 J jnl
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism.
IEEE Trans. Big Data
Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang, Di Jin, Wenze Song, Yuxiao Huang
2022 J jnl
A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed Networks.
IEEE Access
Jinxin Cao, Weizhong Xu, Di Jin, Xiaofeng Zhang, Anthony Miller, Lu Liu, Weiping Ding
2022 A* conf
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
IJCAI
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022 J jnl
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022 J jnl
Community Detection in Social Networks Considering Social Behaviors.
IEEE Access
Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang
2022 J jnl
Fast Algorithms for Core Maximization on Large Graphs.
Proc. VLDB Endow.
Xin Sun, Xin Huang, Di Jin
2022 A* conf
Graph Neural Network for Higher-Order Dependency Networks.
WWW
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
2022 J jnl
Graph Neural Networks for Graphs with Heterophily: A Survey.
CoRR
Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu
2022 J jnl
Guest Editorial: Graph-powered machine learning in future-generation computing systems.
Future Gener. Comput. Syst.
Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu
2022 J jnl
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data.
IEEE Trans. Big Data
Di Jin, Wenjun Wang, Guojie Song, Philip S. Yu, Jiawei Han
2022 J jnl
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
CoRR
Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
2022 A conf
Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training.
INTERSPEECH
Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang
2022 A* conf
Inflation Improves Graph Neural Networks.
WWW
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
2022 A* conf
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
AAAI
Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
2022 J jnl
Probabilistic Graph Convolutional Network via Topology-Constrained Latent Space Model.
IEEE Trans. Cybern.
Liang Yang, Yuanfang Guo, Junhua Gu, Di Jin, Bo Yang, Xiaochun Cao
2022 A* conf
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
IJCAI
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 J jnl
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
CoRR
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 J jnl
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.
CoRR
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
2022 J jnl
TMS: A Temporal Multi-scale Backbone Design for Speaker Embedding.
CoRR
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Junhai Xu, Lin Zhang, Yantao Ji, Jianwu Dang
2022 J jnl
TeKo: Text-Rich Graph Neural Networks with External Knowledge.
CoRR
Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu
2022 J jnl
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature.
CoRR
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
2021 J jnl
A Comprehensive Survey on Community Detection with Deep Learning.
CoRR
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
2021 J jnl
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning.
CoRR
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
2021 J jnl
A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words.
IEEE Signal Process. Lett.
Kuntharrgyal Khysru, Di Jin, Yuxiao Huang, Hui Feng, Jianwu Dang
2021 A* conf
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks.
ICDM
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
2021 A* conf
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding.
ICDM
Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu
2021 A conf
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.
WSDM
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2021 A conf
Budget-constrained Truss Maximization over Large Graphs: A Component-based Approach.
CIKM
Xin Sun, Xin Huang, Zitan Sun, Di Jin
2021 A* conf
Heterogeneous Graph Neural Network via Attribute Completion.
WWW
Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
2021 J jnl
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search.
CoRR
Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin
2021 J jnl
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily.
CoRR
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
2021 J jnl
Robust Detection of Link Communities With Summary Description in Social Networks.
IEEE Trans. Knowl. Data Eng.
Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang
2021 A* conf
Self-Guided Community Detection on Networks with Missing Edges.
IJCAI
Dongxiao He, Shuai Li, Di Jin, Pengfei Jiao, Yuxiao Huang
2021 J jnl
Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity.
Frontiers Comput. Sci.
Di Jin, Jing He, Bianfang Chai, Dongxiao He
2021 A* conf
Universal Graph Convolutional Networks.
NeurIPS
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
2020 A* conf
Adversarial Mutual Information Learning for Network Embedding.
IJCAI
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu
2020 A* conf
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
ICDM
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020 J jnl
BERT2DNN: BERT Distillation with Massive Unlabeled Data for Online E-Commerce Search.
CoRR
Yunjiang Jiang, Yue Shang, Ziyang Liu, Hongwei Shen, Yun Xiao, Wei Xiong, Sulong Xu, Weipeng Yan, Di Jin
2020 J jnl
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.
CoRR
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
2020 A* conf
Community-Centric Graph Convolutional Network for Unsupervised Community Detection.
IJCAI
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang
2020 J jnl
Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics.
IEEE Trans. Knowl. Data Eng.
Di Jin, Kunzeng Wang, Ge Zhang, Pengfei Jiao, Dongxiao He, Françoise Fogelman-Soulié, Xin Huang
2020 J jnl
GCN for HIN via Implicit Utilization of Attention and Meta-paths.
CoRR
Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han
2020 A* conf
Graph Attention Topic Modeling Network.
WWW
Liang Yang, Fan Wu, Junhua Gu, Chuan Wang, Xiaochun Cao, Di Jin, Yuanfang Guo
2020 J jnl
Identification of Generalized Semantic Communities in Large Social Networks.
IEEE Trans. Netw. Sci. Eng.
Di Jin, Xiaobao Wang, Mengquan Liu, Jianguo Wei, Wenhuan Lu, Françoise Fogelman-Soulié
2020 A* conf
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.
ICDM
Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang
2020 J jnl
ModMRF: A modularity-based Markov Random Field method for community detection.
Neurocomputing
Di Jin, Binbin Zhang, Yue Song, Dongxiao He, Zhiyong Feng, Shizhan Chen, Weihao Li, Katarzyna Musial
2020 J jnl
Modeling with Node Popularities for Autonomous Overlapping Community Detection.
ACM Trans. Intell. Syst. Technol.
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan, Weixiong Zhang
2020 A* conf
NF-VGA: Incorporating Normalizing Flows into Graph Variational Autoencoder for Embedding Attribute Networks.
ICDM
Hongyu Shan, Di Jin, Pengfei Jiao, Ziyang Liu, Bingyi Li, Yuxiao Huang
2020 A* conf
Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest.
AAAI
Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang
2020 A* conf
Toward Unsupervised Graph Neural Network: Interactive Clustering and Embedding via Optimal Transport.
ICDM
Liang Yang, Junhua Gu, Chuan Wang, Xiaochun Cao, Lu Zhai, Di Jin, Yuanfang Guo
2019 A* conf
A Novel Generative Topic Embedding Model by Introducing Network Communities.
WWW
Di Jin, Jiantao Huang, Pengfei Jiao, Liang Yang, Dongxiao He, Françoise Fogelman-Soulié, Yuxiao Huang
2019 — conf
A Simple and Effective Community Detection Method Combining Network Topology with Node Attributes.
KSEM (1)
Dongxiao He, Yue Song, Di Jin
2019 B conf
Adversarial Capsule Learning for Network Embedding.
ICTAI
Di Jin, Zhigang Li, Liang Yang, Dongxiao He, Pengfei Jiao, Lu Zhai
2019 A* conf
An End-to-End Community Detection Model: Integrating LDA into Markov Random Field via Factor Graph.
IJCAI
Dongxiao He, Wenze Song, Di Jin, Zhiyong Feng, Yuxiao Huang
2019 J jnl
Combination of links and node contents for community discovery using a graph regularization approach.
Future Gener. Comput. Syst.
Jinxin Cao, Hongcui Wang, Di Jin, Jianwu Dang
2019 A* conf
Community Detection in Social Networks Considering Topic Correlations.
AAAI
Yingkui Wang, Di Jin, Katarzyna Musial, Jianwu Dang
2019 — conf
Community Detection via Joint Graph Convolutional Network Embedding in Attribute Network.
ICANN (Workshop)
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Hongyu Shan
2019 A conf
Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities.
CIKM
Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang
2019 A* conf
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks.
AAAI
Di Jin, Ziyang Liu, Weihao Li, Dongxiao He, Weixiong Zhang
2019 A* conf
Incorporating Network Embedding into Markov Random Field for Better Community Detection.
AAAI
Di Jin, Xinxin You, Weihao Li, Dongxiao He, Peng Cui, Françoise Fogelman-Soulié, Tanmoy Chakraborty
2019 J jnl
Morphological Verb-Aware Tibetan Language Model.
IEEE Access
Kuntharrgyal Khysru, Di Jin, Jianwu Dang
2019 A* conf
Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks.
IJCAI
Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang
2019 J jnl
Scalable Community Identification with Manifold Learning on Speaker I-Vector Space.
IEICE Trans. Inf. Syst.
Hongcui Wang, Shanshan Liu, Di Jin, Lantian Li, Jianwu Dang
2019 A* conf
Topology Optimization based Graph Convolutional Network.
IJCAI
Liang Yang, Zesheng Kang, Xiaochun Cao, Di Jin, Bo Yang, Yuanfang Guo
2018 A* conf
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces.
IJCAI
Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
2018 A* conf
A Network-Specific Markov Random Field Approach to Community Detection.
AAAI
Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang
2018 — conf
A Unified Weakly Supervised Framework for Community Detection and Semantic Matching.
PAKDD (3)
Wenjun Wang, Xiao Liu, Pengfei Jiao, Xue Chen, Di Jin
2018 J jnl
Adaptive community detection incorporating topology and content in social networks
Knowl. Based Syst.
Meng Qin, Di Jin, Kai Lei, Bogdan Gabrys, Katarzyna Musial-Gabrys
2018 — conf
Autoencoder Based Community Detection with Adaptive Integration of Network Topology and Node Contents.
KSEM (2)
Jinxin Cao, Di Jin, Jianwu Dang
2018 J jnl
Constrained common cluster based model for community detection in temporal and multiplex networks.
Neurocomputing
Pengfei Jiao, Wenjun Wang, Di Jin
2018 — conf
Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs.
DASFAA (1)
Yueqi Xin, Xin Wang, Di Jin, Simiao Wang
2018 B conf
Edge Content Enhanced Network Embedding.
ICTAI
Hongcui Wang, Erwei Wang, Di Jin, Xiao Wang, Jing Wang, Dongxiao He
2018 A* conf
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics.
IJCAI
Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
2018 B conf
Implicit Discourse Relation Recognition using Neural Tensor Network with Interactive Attention and Sparse Learning.
COLING
Fengyu Guo, Ruifang He, Di Jin, Jianwu Dang, Longbiao Wang, Xiangang Li
2018 J jnl
Incorporating network structure with node contents for community detection on large networks using deep learning.
Neurocomputing
Jinxin Cao, Di Jin, Liang Yang, Jianwu Dang
2018 A* conf
Integrative Network Embedding via Deep Joint Reconstruction.
IJCAI
Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
2018 B conf
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention.
COLING
Ruifang He, Xuefei Zhang, Di Jin, Longbiao Wang, Jianwu Dang, Xiangang Li
2018 — conf
Robust Detection of Communities with Multi-semantics in Large Attributed Networks.
KSEM (1)
Di Jin, Ziyang Liu, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2018 A* conf
Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics.
AAAI
Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang
2017 B conf
Adaptive Community Detection Incorporating Topology and Content in Social Networks.
ASONAM
Meng Qin, Di Jin, Dongxiao He, Bogdan Gabrys, Katarzyna Musial
2017 B conf
Identification of Generalized Communities with Semantics in Networks with Content.
ICTAI
Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Françoise Fogelman-Soulié, Jianwu Dang
2017 A* conf
Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents.
AAAI
Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang
2017 J jnl
Semi-supervised community detection based on non-negative matrix factorization with node popularity.
Inf. Sci.
Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci
2017 B conf
Tracking and Detecting Dynamic Communities with Node Popularity Preservation.
ICTAI
Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin, Wenxin Wei
2017 B conf
Using Deep Learning for Community Discovery in Social Networks.
ICTAI
Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Françoise Fogelman-Soulié
2016 J jnl
Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach.
Knowl. Based Syst.
Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys
2016 A* conf
Detect Overlapping Communities via Ranking Node Popularities.
AAAI
Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang
2016 A* conf
Semantic Community Identification in Large Attribute Networks.
AAAI
Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang
2015 A* conf
A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks.
AAAI
Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang
2015 J jnl
A Unified Semi-Supervised Community Detection Framework Using Latent Space Graph Regularization.
IEEE Trans. Cybern.
Liang Yang, Xiaochun Cao, Di Jin, Xiao Wang, Dan Meng
2015 A conf
Community detection with manifold learning on speaker i-vector space for Chinese.
INTERSPEECH
Hongcui Wang, Di Jin, Lantian Li, Jianwu Dang
2015 A* conf
Modeling with Node Degree Preservation Can Accurately Find Communities.
AAAI
Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang
2014 — conf
The (un)supervised detection of overlapping communities as well as hubs and outliers via (bayesian) NMF.
WWW (Companion Volume)
Xiaochun Cao, Xiao Wang, Di Jin, Yixin Cao, Dongxiao He
2013 J jnl
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks
CoRR
Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2013 J jnl
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks
CoRR
Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2013 J jnl
Decentralized mining social network communities with agents.
Math. Comput. Model.
Jing Huang, Bo Yang, Di Jin, Yi Yang
2013 Misc conf
Dialog Act classification in Chinese spoken language.
ICMLC
Peng Liu, Qingbua Hu, Jianwu Dang, Di Jin, Jinxin Cao
2013 J jnl
Discovering link communities in complex networks by exploiting link dynamics
CoRR
Dongxiao He, Dayou Liu, Weixiong Zhang, Di Jin, Bo Yang
2013 J jnl
Fast Complex Network Clustering Algorithm Using Agents
CoRR
Di Jin, Dayou Liu, Bo Yang, Jie Liu
2013 J jnl
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks
CoRR
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013 J jnl
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks.
Int. J. Comput. Intell. Syst.
Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
2013 J jnl
Hierarchical community detection with applications to real-world network analysis.
Data Knowl. Eng.
Bo Yang, Di Jin, Jiming Liu, Dayou Liu
2013 J jnl
Markov random walk under constraint for discovering overlapping communities in complex networks
CoRR
Di Jin, Bo Yang, Carlos Baquero, Dayou Liu, Dongxiao He, Jie Liu
2012 J jnl
An Ant-Based Algorithm with Local Optimization for Community Detection in Large-Scale Networks.
Adv. Complex Syst.
Dongxiao He, Jie Liu, Bo Yang, Yuxiao Huang, Dayou Liu, Di Jin
2011 — conf
Ant Colony Optimization with Markov Random Walk for Community Detection in Graphs.
PAKDD (2)
Di Jin, Dayou Liu, Bo Yang, Carlos Baquero, Dongxiao He
2011 J jnl
Ant Colony Optimization with a New Random Walk Model for Community Detection in Complex Networks.
Adv. Complex Syst.
Di Jin, Dayou Liu, Bo Yang, Jie Liu, Dongxiao He
2011 Misc conf
Ant colony optimization for community detection in large-scale complex networks.
ICNC
Dongxiao He, Jie Liu, Dayou Liu, Di Jin, Zhengxue Jia
2010 — conf
Genetic Algorithm with Local Search for Community Mining in Complex Networks.
ICTAI (1)
Di Jin, Dongxiao He, Dayou Liu, Carlos Baquero
2009 C conf
Fast Complex Network Clustering Algorithm Using Agents.
DASC
Di Jin, Dayou Liu, Bo Yang, Jie Liu