Di Jin 0001 - researchr alias

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Viewing Publication 1 - 81 from 81

2026

TGFormer: Towards temporal graph transformer with auto-correlation mechanismHongjiang Chen, Pengfei Jiao, Ming Du, Xuan Guo, Zhidong Zhao, Di Jin 0001, Xiao Liu. PR, 170:112053, 2026. [doi]

LWDiffusion: Node role detection in complex networks via legendre wavelet diffusion modelYanfei Liu, Dezhi Liu, Di Jin 0001, Wenjun Wang 0002, XiaoYang Zheng, Chengbo Yu. isci, 726:122749, 2026. [doi]

2025

Backdoor Attack on Propagation-based Rumor DetectorsDi Jin 0001, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang 0004. AAAI 2025: 17680-17688 [doi]

Towards Global-Topology Relation Graph for Inductive Knowledge Graph CompletionLing Ding 0001, Lei Huang, Zhizhi Yu, Di Jin 0001, Dongxiao He. AAAI 2025: 11581-11589 [doi]

Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View PerspectiveDi Jin 0001, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang 0001. IJCAI 2025: 3009-3017 [doi]

LLGformer: Learnable Long-range Graph Transformer for Traffic Flow PredictionDi Jin 0001, Cuiying Huo, Jiayi Shi, Dongxiao He, Jianguo Wei, Philip S. Yu. WWW 2025: 2860-2871 [doi]

A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News DetectionDi Jin 0001, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He. IJCAI 2025: 3000-3008 [doi]

Universal Graph Self-Contrastive LearningLiang Yang 0002, Yukun Cai, Hui Ning, Jiaming Zhuo, Di Jin 0001, Ziyi Ma, Yuanfang Guo, Chuan Wang 0002, Zhen Wang 0004. IJCAI 2025: 3534-3542 [doi]

Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial AttacksBingdao Feng, Di Jin 0001, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang 0004. IJCAI 2025: 2793-2801 [doi]

Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data RelationshipsDongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng 0002, Cuiying Huo, Di Jin 0001, Witold Pedrycz, Weixiong Zhang. tkde, 37(6):3284-3297, June 2025. [doi]

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative SamplingYongqi Huang, Jitao Zhao, Dongxiao He, Di Jin 0001, Yuxiao Huang, Zhen Wang 0004. AAAI 2025: 17511-17518 [doi]

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive LearningCuiying Huo, Dongxiao He, Yawen Li 0001, Di Jin 0001, Jianwu Dang 0001, Witold Pedrycz, Lingfei Wu 0001, Weixiong Zhang. tist, 16(1), February 2025. [doi]

A Survey on Temporal Interaction Graph Representation Learning: Progress, Challenges, and OpportunitiesPengfei Jiao, Hongjiang Chen, Xuan Guo, Zhidong Zhao, Dongxiao He, Di Jin 0001. IJCAI 2025: 10499-10507 [doi]

HGMP: Heterogeneous Graph Multi-Task Prompt LearningPengfei Jiao, Jialong Ni, Di Jin 0001, Xuan Guo, Huan Liu, Hongjiang Chen, YanXian Bi. IJCAI 2025: 2982-2990 [doi]

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start RecommendationSongyuan Lei, Xinglong Chang, Zhizhi Yu, Dongxiao He, Cuiying Huo, Jianrong Wang, Di Jin 0001. AAAI 2025: 12022-12030 [doi]

Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation SystemsRunze Li, Di Jin 0001, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang 0004. IJCAI 2025: 3072-3080 [doi]

Heterogeneous Temporal Hypergraph Neural NetworkHuan Liu, Pengfei Jiao, Mengzhou Gao 0001, Chaochao Chen, Di Jin 0001. IJCAI 2025: 3117-3125 [doi]

Beyond Homophily: Neighborhood Distribution-guided Graph Convolutional NetworksSiqi Liu, Dongxiao He, Zhizhi Yu, Di Jin 0001, Zhiyong Feng 0002. eswa, 259:125274, 2025. [doi]

Integrating Co-Training with Edge Discrimination to Enhance Graph Neural Networks Under HeterophilySiqi Liu, Dongxiao He, Zhizhi Yu, Di Jin 0001, Zhiyong Feng 0002, Weixiong Zhang. AAAI 2025: 18960-18968 [doi]

Read, Eliminate, and Focus: A reading comprehension paradigm for distant supervised relation extractionZechen Meng, Mankun Zhao, Jian Yu 0003, Tianyi Xu, Xuewei Li 0001, Di Jin 0001, Ruiguo Yu, Mei Yu 0004. NN, 185:107138, 2025. [doi]

FitCLM: LLM-Augmented Candidate-aware Cross-view Contrastive Learning for Person-Job FitGaozhi Tang, Jianrong Wang, Xinglong Chang, Di Jin 0001, Xiudong Han. cscwd 2025: 2514-2520 [doi]

Elevating Knowledge-Enhanced Entity and Relationship Understanding for Sarcasm DetectionXiaobao Wang, Yujing Wang, Dongxiao He, Zhe Yu, Yawen Li 0001, Longbiao Wang, Jianwu Dang 0001, Di Jin 0001. tkde, 37(6):3356-3371, June 2025. [doi]

Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for RecommendationJian Wang, Jianrong Wang, Di Jin 0001, Xinglong Chang. tkde, 37(5):2640-2651, May 2025. [doi]

Attribute Association Driven Multi-Task Learning for Session-based RecommendationXinyao Wang, Zhizhi Yu, Dongxiao He, Liang Yang 0002, Jianguo Wei, Di Jin 0001. IJCAI 2025: 3417-3425 [doi]

Graph contrastive learning with multiple information fusionXiaobao Wang, Jun Yang, Zhiqiang Wang, Dongxiao He, Jitao Zhao, Yuxiao Huang, Di Jin 0001. eswa, 268:126129, 2025. [doi]

HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View PromptingFengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang 0001, Di Jin 0001. AAAI 2025: 21895-21903 [doi]

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud DetectionZhizhi Yu, Chundong Liang, Xinglong Chang, Dongxiao He, Di Jin 0001, Jianguo Wei. AAAI 2025: 13115-13123 [doi]

MAMBO-NET: Multi-causal aware modeling backdoor-intervention optimization for medical image segmentation networkRuiguo Yu, Yiyang Zhang, Yuan Tian, Yujie Diao, Di Jin 0001, Witold Pedrycz. prl, 197:102-109, 2025. [doi]

SHDA: Sinkhorn Domain Attention for Cross-Domain Audio Anti-SpoofingRuiteng Zhang, Jianguo Wei, Xugang Lu, Lin Zhang, Di Jin 0001, Junhai Xu, Wenhuan Lu. tifs, 20:6474-6489, 2025. [doi]

A graph regularized overlapping community discovery framework with three-way decisionsXiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding 0001, Lu Liu 0001, Fuxiang Chen, Di Jin 0001. isci, 720:122525, 2025. [doi]

2024

ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networksJinxin Cao, Xiaoyang Zou, Weizhong Xu, Weiping Ding 0001, Hengrong Ju, Lu Liu 0001, Fuxiang Chen, Di Jin 0001. asc, 167:112250, 2024. [doi]

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic ReasoningYiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl J. Yang 0001, Di Jin 0001. AAAI 2024: 8354-8362 [doi]

Backdoor attacks on unsupervised graph representation learningBingdao Feng, Di Jin 0001, Xiaobao Wang, Fangyu Cheng, Siqi Guo. NN, 180:106668, 2024. [doi]

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive LearningDongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng 0002, Di Jin 0001, Liang Yang 0002, Weixiong Zhang. tnn, 35(4):4438-4450, April 2024. [doi]

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable NatureCuiying Huo, Dongxiao He, Chundong Liang, Di Jin 0001, Tie Qiu 0001, Lingfei Wu 0001. tnn, 35(10):14205-14217, October 2024. [doi]

Multi-Modal Sarcasm Detection Based on Dual Generative ProcessesHuiying Ma, Dongxiao He, Xiaobao Wang, Di Jin 0001, Meng Ge, Longbiao Wang. IJCAI 2024: 2279-2287 [doi]

CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge GraphHuan Rong, Minfeng Qian, Tinghuai Ma, Di Jin 0001, Victor S. Sheng. tkdd, 18(5), June 2024. [doi]

KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstructionHuan Rong, Shengjie Sun, Tinghuai Ma, Di Jin 0001, Victor S. Sheng. kbs, 284:111297, 2024. [doi]

A Comprehensive Survey on Community Detection With Deep LearningXing Su, Shan Xue, Fanzhen Liu, Jia Wu 0001, Jian Yang 0001, Chuan Zhou 0001, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin 0001, Quan Z. Sheng, Philip S. Yu. tnn, 35(4):4682-4702, April 2024. [doi]

Mining Multiplatform Opinions During Public Health Crisis: A Comparative StudyKun Sun, Tian-Fang Zhao, Xiao-Kun Wu, Liang Yang 0002, Di Jin 0001, Wei-neng Chen. tcss, 11(2):2121-2134, April 2024. [doi]

Adaptive Multi-Channel Deep Graph Neural NetworksRenbiao Wang, Fengtai Li, Shuwei Liu, Weihao Li, Shizhan Chen, Bin Feng, Di Jin 0001. symmetry, 16(4):406, April 2024. [doi]

Contrastive Graph Similarity NetworksLuzhi Wang, Yizhen Zheng, Di Jin 0001, Fuyi Li, Yongliang Qiao, Shirui Pan. tweb, 18(2), May 2024. [doi]

Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender SystemsSenzhang Wang, Changdong Wang, Di Jin 0001, Shirui Pan, Philip S. Yu. tbd, 10(6):682, December 2024. [doi]

GOODAT: Towards Test-Time Graph Out-of-Distribution DetectionLuzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin 0001, Tat-Seng Chua. AAAI 2024: 15537-15545 [doi]

Joint Domain Adaptive Graph Convolutional NetworkNiya Yang, Ye Wang, Zhizhi Yu, Dongxiao He, Xin Huang 0001, Di Jin 0001. IJCAI 2024: 2496-2504 [doi]

TeKo: Text-Rich Graph Neural Networks With External KnowledgeZhizhi Yu, Di Jin 0001, Jianguo Wei, Yawen Li, Ziyang Liu, Yue Shang, Jiawei Han 0001, Lingfei Wu 0001. tnn, 35(10):14699-14711, October 2024. [doi]

Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential RecommendationMei Yu, Kun Zhu 0006, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin 0001, Xuewei Li 0001, Ruiguo Yu. tweb, 18(2), May 2024. [doi]

Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal TransportRuiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin 0001, Lin Zhang, Junhai Xu. taslp, 32:3603-3617, 2024. [doi]

Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion RecognitionRuiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Wenhuan Lu, Di Jin 0001, Junhai Xu. icassp 2024: 10466-10470 [doi]

FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node FeaturesJitao Zhao, Di Jin 0001, Meng Ge, Lianze Shan, Xin Wang 0030, Dongxiao He, Zhiyong Feng 0002. nips 2024: [doi]

Generalized Taxonomy-Guided Graph Neural NetworksYu Zhou, Di Jin 0001, Jianguo Wei, Dongxiao He, Zhizhi Yu, Weixiong Zhang. IJCAI 2024: 2616-2624 [doi]

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual ModuleJingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia 0001, Zhizhi Yu, Zelin Zang, Di Jin 0001, Carl Yang 0001, Rui Zhang, Stan Z. Li. nips 2024: [doi]

GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-WayXiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding 0001, Di Jin 0001. icic 2024: 388-398 [doi]

2023

GCN for HIN via Implicit Utilization of Attention and Meta-PathsDi Jin 0001, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han 0001. tkde, 35(4):3925-3937, April 2023. [doi]

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative ModelsDi Jin 0001, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang. ksem 2023: 56-68 [doi]

Local-Global Defense against Unsupervised Adversarial Attacks on GraphsDi Jin 0001, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang. AAAI 2023: 8105-8113 [doi]

A Survey of Community Detection Approaches: From Statistical Modeling to Deep LearningDi Jin 0001, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu 0001, Philip S. Yu, Weixiong Zhang. tkde, 35(2):1149-1170, 2023. [doi]

A survey on fairness-aware recommender systemsDi Jin 0001, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding 0001, Feng Xia 0001, Shirui Pan. inffus, 100:101906, December 2023. [doi]

Amer: A New Attribute-Missing Network Embedding ApproachDi Jin 0001, Rui Wang, Tao Wang, Dongxiao He, Weiping Ding 0001, Yuxiao Huang, Longbiao Wang, Witold Pedrycz. tcyb, 53(7):4306-4319, 2023. [doi]

How Matching Theory Enables Multi-access Edge Computing Adaptive Task Scheduling in IIoTJiancheng Chi, Chao Xu, Tie Qiu 0001, Di Jin 0001, Zhaolong Ning, Mahmoud Daneshmand. network, 37(3):126-131, May / June 2023. [doi]

Contrastive Learning Meets Homophily: Two Birds with One StoneDongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng 0002, Di Jin 0001, Yuxiao Huang, Zhen Wang, Weixiong Zhang. icml 2023: 12775-12789 [doi]

Adversarial Representation Mechanism Learning for Network EmbeddingDongxiao He, Tao Wang, Lu Zhai, Di Jin 0001, Liang Yang 0002, Yuxiao Huang, Zhiyong Feng 0002, Philip S. Yu. tkde, 35(2):1200-1213, 2023. [doi]

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student DistillationCuiying Huo, Di Jin 0001, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu. AAAI 2023: 4339-4346 [doi]

GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNsNan Jiang, Jie Wen, Jin Li 0002, Ximeng Liu, Di Jin 0001. tkde, 35(6):5865-5878, June 2023. [doi]

Role Discovery-Guided Network Embedding Based on Autoencoder and Attention MechanismPengfei Jiao, Qiang Tian, Wang Zhang, Xuan Guo, Di Jin 0001, Huaming Wu. tcyb, 53(1):365-378, 2023. [doi]

Exploring Temporal Community Structure via Network EmbeddingTianpeng Li, Wenjun Wang 0002, Pengfei Jiao, YingHui Wang, Ruomeng Ding, Huaming Wu, Lin Pan 0002, Di Jin 0001. tcyb, 53(11):7021-7033, November 2023. [doi]

Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity RelationsLingshan Li, Di Jin 0001, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang 0001. ictai 2023: 918-925 [doi]

Learning Distinct Relationship in Package Recommendation With Graph Attention NetworksWei Lu, Nan Jiang 0013, Di Jin 0001, Honglong Chen, Ximeng Liu. tcss, 10(6):3308-3320, December 2023. [doi]

Embedding text-rich graph neural networks with sequence and topical semantic structuresZhizhi Yu, Di Jin 0001, Ziyang Liu, Dongxiao He, Xiao Wang 0017, Hanghang Tong, Jiawei Han 0001. kais, 65(2):613-640, February 2023. [doi]

Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm DetectionZhe Yu, Di Jin 0001, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang 0001. IJCAI 2023: 2423-2431 [doi]

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural NetworksZhizhi Yu, Di Jin 0001, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu 0001, Lingfei Wu. WWW 2023: 727-736 [doi]

Self-supervised learning based domain regularization for mask-wearing speaker verificationRuiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin 0001, Lin Zhang, Yantao Ji, Junhai Xu. speech, 152:102953, July 2023. [doi]

TMS: Temporal multi-scale in time-delay neural network for speaker verificationRuiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin 0001, Lin Zhang, Junhai Xu, Jianwu Dang 0001. apin, 53(22):26497-26517, November 2023. [doi]

SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion RecognitionRuiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Junhai Xu, Di Jin 0001, Jianhua Tao 0001. interspeech 2023: 1858-1862 [doi]

Optimal Transport with a Diversified Memory Bank for Cross-Domain Speaker VerificationRuiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin 0001, Lin Zhang, Junhai Xu. icassp 2023: 1-5 [doi]

2022

Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big DataDi Jin 0001, Wenjun Wang 0002, Guojie Song, Philip S. Yu, Jiawei Han 0001. tbd, 8(4):867-868, 2022. [doi]

A Network Embedding-Enhanced NMF Method for Finding Communities in Attributed NetworksJinxin Cao, Weizhong Xu, Di Jin 0001, Xiaofeng Zhang, Anthony Miller, Lu Liu 0001, Weiping Ding 0001. access, 10:118141-118155, 2022. [doi]

A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention MechanismDongxiao He, Huixin Liu, Zhiyong Feng 0002, Xiaobao Wang, Di Jin 0001, Wenze Song, Yuxiao Huang. tbd, 8(4):994-1006, 2022. [doi]

Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised trainingJiaxu He, Cheng Gong, Longbiao Wang, Di Jin 0001, Xiaobao Wang, Junhai Xu, Jianwu Dang. interspeech 2022: 5538-5542 [doi]

Fast Algorithms for Core Maximization on Large GraphsXin Sun, Xin Huang 0001, Di Jin 0001. pvldb, 15(7):1350-1362, 2022. [doi]

Community Detection in Social Networks Considering Social BehaviorsYingkui Wang, Di Jin 0001, Dongxiao He, Katarzyna Musial, Jianwu Dang. access, 10:109969-109982, 2022. [doi]

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