Jia Wu

发表

Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis

Jessica J. M. Monaghan, Philip S. Yu, M. Dras, 2022, ArXiv.

Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis

Jessica J. M. Monaghan, Philip S. Yu, M. Dras, 2022, ArXiv.

A Comprehensive Survey on Schema-based Event Extraction with Deep Learning

Philip S. Yu, Hao Peng, Amin Beheshti, 2021 .

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory

Philip S. Yu, Hao Peng, Jiaqian Ren, 2022, 2022 IEEE International Conference on Web Services (ICWS).

Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis

Jessica J. M. Monaghan, Philip S. Yu, M. Dras, 2022, Neural Networks.

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2210.00538.

Automating DBSCAN via Deep Reinforcement Learning

Philip S. Yu, Qingyun Sun, Yingtong Dou, 2022, CIKM.

A Survey on Deep Learning Event Extraction: Approaches and Applications

Philip S. Yu, A. Beheshti, Jianxin Li, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification

Ziqi Liu, Xiaolin Zheng, Bingzhe Wu, 2020, IJCAI.

Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation

Senzhang Wang, Jianlong Tan, Hao Peng, 2023, IEEE Transactions on Knowledge and Data Engineering.

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network

Senzhang Wang, Qingyun Sun, Hao Peng, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism

Hao Peng, Qingyun Sun, Phillip S. Yu, 2021, WWW.

Graph Structure Learning with Variational Information Bottleneck pdf

Philip S. Yu, Hao Peng, Jia Wu, 2021, AAAI.

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Philip S. Yu, Jianxin Li, Renyu Yang, 2023, WWW.

Adaptive curvature exploration geometric graph neural network

Philip S. Yu, Senzhang Wang, Qingyun Sun, 2023, Knowledge and Information Systems.

Curvature Graph Generative Adversarial Networks

Qingyun Sun, Jianxin Li, Hao Peng, 2022, WWW.

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

Philip S. Yu, Hao Peng, Yingtong Dou, 2021, WWW.

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Nanyang Technological University, Philip S. Yu, P. Xie, 2023, ArXiv.

From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection

Philip S. Yu, Lifang He, Hao Peng, 2022, CIKM.

HiGIL: Hierarchical Graph Inference Learning for Fact Checking

Z. Wang, Jianxin Li, Hao Peng, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Adaptive Subgraph Neural Network With Reinforced Critical Structure Mining

Qingyun Sun, Jianxin Li, Hao Peng, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification

Qingyun Sun, Jianxin Li, Hao Peng, 2023, WWW.

Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations

Hao Peng, Jianxin Li, Hao Peng, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning

Qingyun Sun, Jianxin Li, Hao Peng, 2023, WSDM.

A Comprehensive Survey on Automatic Knowledge Graph Construction

Xindong Wu, Qian Li, Hao Peng, 2023, ACM Comput. Surv..

Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms pdf

Jia Wu, Chengjun Li, Chengjun Li, 2017, ArXiv.

Heterogeneous graph neural network with semantic-aware differential privacy guarantees

Qingyun Sun, Hao Peng, Jinyan Wang, 2023, Knowledge and Information Systems.

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation

Qingyun Sun, Hao Peng, Jinyan Wang, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Event Extraction by Associating Event Types and Argument Roles

Hao Peng, Jianxin Li, Qian Li, 2021, arXiv.org.

Transferring Knowledge Distillation for Multilingual Social Event Detection

Hao Peng, Qiang Yang, Yongxin Tong, 2021, ArXiv.

A Compact Survey on Event Extraction: Approaches and Applications

Philip S. Yu, A. Beheshti, Jianxin Li, 2021 .

Event Extraction by Associating Event Types and Argument Roles pdf

Hao Peng, Jianxin Li, Hao Peng, 2021, arXiv.org.

Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees

P. Yu, Lingjuan Lyu, Hao Peng, 2022, CIKM.

Curvature Graph Generative Adversarial Networks

Qingyun Sun, Jianxin Li, Hao Peng, 2022, WWW.

SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism

Phillip S. Yu, Qingyun Sun, Jianxin Li, 2021, WWW.

An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding pdf

Hang Lei, Jia Wu, Xiaoyu Li, 2015, PACLIC.

Semi-Supervised EEG Clustering With Multiple Constraints

Stefanie I. Becker, Jessica J. M. Monaghan, Hao Peng, 2023, IEEE Transactions on Knowledge and Data Engineering.

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment

Qian Li, Jia Wu, Xutan Peng, 2024, Neural Networks.