Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Jia Wu

Jia Wu

Event Extraction by Associating Event Types and Argument Roles


Aug 23, 2021
Qian Li, Shu Guo, Jia Wu, Jianxin Li, Jiawei Sheng, Lihong Wang, Xiaohan Dong, Hao Peng

Figure 1 for Event Extraction by Associating Event Types and Argument Roles
Figure 2 for Event Extraction by Associating Event Types and Argument Roles
Figure 3 for Event Extraction by Associating Event Types and Argument Roles
Figure 4 for Event Extraction by Associating Event Types and Argument Roles

  Access Paper or Ask Questions

Transferring Knowledge Distillation for Multilingual Social Event Detection


Aug 10, 2021
Jiaqian Ren, Hao Peng, Lei Jiang, Jia Wu, Yongxin Tong, Lihong Wang, Xu Bai, Bo Wang, Qiang Yang

Figure 1 for Transferring Knowledge Distillation for Multilingual Social Event Detection
Figure 2 for Transferring Knowledge Distillation for Multilingual Social Event Detection
Figure 3 for Transferring Knowledge Distillation for Multilingual Social Event Detection
Figure 4 for Transferring Knowledge Distillation for Multilingual Social Event Detection

  Access Paper or Ask Questions

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms


Jun 30, 2021
Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph Khoury, Jia Wu

Figure 1 for Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Figure 2 for Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Figure 3 for Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
Figure 4 for Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
* Accepted by MICCAI2021 
  Access Paper or Ask Questions

A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints


Jun 22, 2021
Liwei Zhang, Yule Zhang, Jia Wu, Xiantao Xiao

Figure 1 for A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints
Figure 2 for A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints
Figure 3 for A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints
Figure 4 for A stochastic linearized proximal method of multipliers for convex stochastic optimization with expectation constraints

  Access Paper or Ask Questions

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning


Jun 14, 2021
Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong

Figure 1 for A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Figure 2 for A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Figure 3 for A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
Figure 4 for A Comprehensive Survey on Graph Anomaly Detection with Deep Learning
* 26 pages 
  Access Paper or Ask Questions

dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System


Jun 10, 2021
Yang Guo, Tarique Anwar, Jian Yang, Jia Wu

Figure 1 for dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
Figure 2 for dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
Figure 3 for dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
Figure 4 for dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
* Accepted by EAI MobiQuitous 2020 
  Access Paper or Ask Questions

A Comprehensive Survey on Community Detection with Deep Learning


May 26, 2021
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu

Figure 1 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 2 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 3 for A Comprehensive Survey on Community Detection with Deep Learning
Figure 4 for A Comprehensive Survey on Community Detection with Deep Learning

  Access Paper or Ask Questions

Task-adaptive Neural Process for User Cold-Start Recommendation


Feb 26, 2021
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang

Figure 1 for Task-adaptive Neural Process for User Cold-Start Recommendation
Figure 2 for Task-adaptive Neural Process for User Cold-Start Recommendation
Figure 3 for Task-adaptive Neural Process for User Cold-Start Recommendation
Figure 4 for Task-adaptive Neural Process for User Cold-Start Recommendation
* Accepted by WWW 2021 
  Access Paper or Ask Questions

Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs


Feb 13, 2021
Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu

Figure 1 for Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Figure 2 for Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Figure 3 for Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Figure 4 for Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
* This work has been accepted to The Web Conference 2021 
  Access Paper or Ask Questions

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


Jan 20, 2021
Qingyun Sun, Hao Peng, Jianxin Li, Jia Wu, Yuanxing Ning, Phillip S. Yu, Lifang He

Figure 1 for SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Figure 2 for SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Figure 3 for SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Figure 4 for SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
* Accepted by The Web Conference (WWW) 2021 
  Access Paper or Ask Questions

Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications


Nov 20, 2020
Chaochao Chen, Jamie Cui, Guanfeng Liu, Jia Wu, Li Wang

Figure 1 for Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Figure 2 for Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Figure 3 for Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications
Figure 4 for Survey and Open Problems in Privacy Preserving Knowledge Graph: Merging, Query, Representation, Completion and Applications

  Access Paper or Ask Questions

Graph Geometry Interaction Learning


Oct 23, 2020
Shichao Zhu, Shirui Pan, Chuan Zhou, Jia Wu, Yanan Cao, Bin Wang

Figure 1 for Graph Geometry Interaction Learning
Figure 2 for Graph Geometry Interaction Learning
Figure 3 for Graph Geometry Interaction Learning
Figure 4 for Graph Geometry Interaction Learning
* Published at Conference NeurIPS 2020 
  Access Paper or Ask Questions

A Deep Framework for Cross-Domain and Cross-System Recommendations


Sep 14, 2020
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu

Figure 1 for A Deep Framework for Cross-Domain and Cross-System Recommendations
Figure 2 for A Deep Framework for Cross-Domain and Cross-System Recommendations
Figure 3 for A Deep Framework for Cross-Domain and Cross-System Recommendations

  Access Paper or Ask Questions

Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter


Jun 10, 2020
Qi Huang, Junshuai Yu, Jia Wu, Bin Wang

Figure 1 for Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
Figure 2 for Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
Figure 3 for Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
Figure 4 for Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter
* 8 pages 
  Access Paper or Ask Questions

Deep Learning for Community Detection: Progress, Challenges and Opportunities


May 17, 2020
Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Jian Yang, Philip S. Yu

Figure 1 for Deep Learning for Community Detection: Progress, Challenges and Opportunities
Figure 2 for Deep Learning for Community Detection: Progress, Challenges and Opportunities
* Accepted Paper in the 29th International Joint Conference on Artificial Intelligence (IJCAI 20), Survey Track 
  Access Paper or Ask Questions

Deep Active Learning for Anchor User Prediction


Jun 25, 2019
Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li, Jianlong Tan, Li Guo

Figure 1 for Deep Active Learning for Anchor User Prediction
Figure 2 for Deep Active Learning for Anchor User Prediction
Figure 3 for Deep Active Learning for Anchor User Prediction
Figure 4 for Deep Active Learning for Anchor User Prediction
* 7 pages 
  Access Paper or Ask Questions

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation


Aug 19, 2018
Pan Xiao, Bo Du, Jia Wu, Lefei Zhang, Ruimin Hu, Xuelong Li

Figure 1 for TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Figure 2 for TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Figure 3 for TLR: Transfer Latent Representation for Unsupervised Domain Adaptation
Figure 4 for TLR: Transfer Latent Representation for Unsupervised Domain Adaptation

  Access Paper or Ask Questions

Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification


Feb 09, 2018
Chenglong Dai, Jia Wu, Dechang Pi, Lin Cui

Figure 1 for Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Figure 2 for Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Figure 3 for Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
Figure 4 for Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification
* 9 pages, 5 figures, Accepted by SDM-2018 
  Access Paper or Ask Questions

Dynamic Island Model based on Spectral Clustering in Genetic Algorithm


Jan 05, 2018
Qinxue Meng, Jia Wu, John Ellisy, Paul J. Kennedy

Figure 1 for Dynamic Island Model based on Spectral Clustering in Genetic Algorithm
Figure 2 for Dynamic Island Model based on Spectral Clustering in Genetic Algorithm
Figure 3 for Dynamic Island Model based on Spectral Clustering in Genetic Algorithm
Figure 4 for Dynamic Island Model based on Spectral Clustering in Genetic Algorithm
* Q. Meng, J. Wu, J. Ellis and P. J. Kennedy, "Dynamic island model based on spectral clustering in genetic algorithm," 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 2017, pp. 1724-1731 
 * 8 pages 
  Access Paper or Ask Questions

Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms


Jan 05, 2017
Chengjun Li, Jia Wu

Figure 1 for Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms
Figure 2 for Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms
Figure 3 for Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms
Figure 4 for Subpopulation Diversity Based Selecting Migration Moment in Distributed Evolutionary Algorithms
* 17 pages, 9 figures 
  Access Paper or Ask Questions

Temporal Feature Selection on Networked Time Series


Dec 22, 2016
Haishuai Wang, Jia Wu, Peng Zhang, Chengqi Zhang

Figure 1 for Temporal Feature Selection on Networked Time Series
Figure 2 for Temporal Feature Selection on Networked Time Series
Figure 3 for Temporal Feature Selection on Networked Time Series
Figure 4 for Temporal Feature Selection on Networked Time Series
* submitted to a blind review journal 
  Access Paper or Ask Questions

PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning


Dec 12, 2016
Dongkuan Xu, Jia Wu, Wei Zhang, Yingjie Tian

Figure 1 for PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning
Figure 2 for PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning
Figure 3 for PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning
Figure 4 for PIGMIL: Positive Instance Detection via Graph Updating for Multiple Instance Learning
* 11 pages, 9 figures 
  Access Paper or Ask Questions

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


Nov 05, 2015
Yiou Lin, Hang Lei, Jia Wu, Xiaoyu Li

Figure 1 for An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
Figure 2 for An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
Figure 3 for An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
Figure 4 for An Empirical Study on Sentiment Classification of Chinese Review using Word Embedding
* The 29th Pacific Asia Conference on Language, Information and Computing 
  Access Paper or Ask Questions