Di Jin

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 58

Top Topics

Speaker Verification

Community Detection

Top Venues

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Cybern.

Publications

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)
Mei Yu, Kun Zhu, Mankun Zhao, Jian Yu, Tianyi Xu, Di Jin, Xuewei Li, Ruiguo Yu
Learning Neighbor User Intention on User-Item Interaction Graphs for Better Sequential Recommendation. ACM Trans. Web 18 (2) (2024)
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) (2024)
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Wenhuan Lu, Di Jin, Lin Zhang, Junhai Xu
Unsupervised Adaptive Speaker Recognition by Coupling-Regularized Optimal Transport. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding
Better value estimation in Q-learning-based multi-agent reinforcement learning. Soft Comput. 28 (6) (2024)
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) (2024)
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Wenhuan Lu, Di Jin, Junhai Xu
Self-Supervised Domain Exploration with an Optimal Transport Regularization for Open Set Cross-Domain Speech Emotion Recognition. ICASSP (2024)
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)
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 (2024)
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) (2024)
Xiaoyang Zou, Jinxin Cao, Hengrong Ju, Weiping Ding, Di Jin
GNMFO_TW: Graph Regularized Non-negative Matrix Factorization for Overlapping Community Discovery by Using Three-Way. ICIC (12) (2024)
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) (2024)
Luzhi Wang, Yizhen Zheng, Di Jin, Fuyi Li, Yongliang Qiao, Shirui Pan
Contrastive Graph Similarity Networks. ACM Trans. Web 18 (2) (2024)
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 (2024)
Renbiao Wang, Fengtai Li, Shuwei Liu, Weihao Li, Shizhan Chen, Bin Feng, Di Jin
Adaptive Multi-Channel Deep Graph Neural Networks. Symmetry 16 (4) (2024)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A survey on fairness-aware recommender systems. Inf. Fusion 100 (2023)
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 (2023)
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)
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)
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) (2023)
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)
Ruiteng Zhang, Jianguo Wei, Xugang Lu, Yongwei Li, Junhai Xu, Di Jin, Jianhua Tao
SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition. INTERSPEECH (2023)
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) (2023)
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) (2023)
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)
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) (2023)
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) (2023)
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) (2023)
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)
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)
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) (2023)
Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. AAAI (2023)
Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Rui Zhang, Di Jin, Carl Yang
GNNs, You can be Stronger, Deeper and Faster. CoRR (2023)
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) (2023)
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)
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) (2023)
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 (2023)
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)
Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang
Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. IJCAI (2023)
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) (2023)
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) (2023)
Di Jin, Luzhi Wang, He Zhang, Yizhen Zheng, Weiping Ding, Feng Xia, Shirui Pan
A Survey on Fairness-aware Recommender Systems. CoRR (2023)
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 (2023)
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)
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 (2022)
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) (2022)
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 (2022)
Xin Sun, Xin Huang, Di Jin
Fast Algorithms for Core Maximization on Large Graphs. Proc. VLDB Endow. 15 (7) (2022)
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 (2022)
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 (2022)
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)
Di Jin, Yingli Gong, Zhiqiang Wang, Zhizhi Yu, Dongxiao He, Yuxiao Huang, Wenjun Wang
Graph Neural Network for Higher-Order Dependency Networks. WWW (2022)
Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang
Inflation Improves Graph Neural Networks. WWW (2022)
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) (2022)
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) (2022)
Yingkui Wang, Di Jin, Dongxiao He, Katarzyna Musial, Jianwu Dang
Community Detection in Social Networks Considering Social Behaviors. IEEE Access 10 (2022)
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 (2022)
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
Universal Graph Convolutional Networks. NeurIPS (2021)