Chen Wang

发表

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

Xiwei Xu, Guanglin Zhou, Lina Yao, 2022, ArXiv.

Adversarial Examples on Graph Data: Deep Insights into Attack and Defense

Liming Zhu, Kai Lu, Chen Wang, 2019 .

A Differentiated Caching Mechanism to Enable Primary Storage Deduplication in Clouds

Sherif Sakr, Liming Zhu, Chen Wang, 2018, IEEE Transactions on Parallel and Distributed Systems.

HPDedup: A Hybrid Prioritized Data Deduplication Mechanism for Primary Storage in the Cloud pdf

Sherif Sakr, Yinjin Fu, Huijun Wu, 2017, ArXiv.

The Vulnerabilities of Graph Convolutional Networks: Stronger Attacks and Defensive Techniques pdf

Liming Zhu, Chen Wang, Kai Lu, 2019, ArXiv.

A Systematic Literature Review on Federated Machine Learning pdf

Chen Wang, Liming Zhu, Helen Paik, 2020, ACM Comput. Surv..

A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective

Sin Kit Lo, Q. Lu, Liming Zhu, 2020, ArXiv.

Architectural Patterns for the Design of Federated Learning Systems

Sin Kit Lo, Q. Lu, Xiwei Xu, 2021, J. Syst. Softw..

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions

Xiwei Xu, Guanglin Zhou, Kun Zhang, 2023, ArXiv.

Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems

Sin Kit Lo, Xiwei Xu, Yue Liu, 2023, IEEE Internet of Things Journal.

Interpreting Shared Deep Learning Models via Explicable Boundary Trees pdf

Liming Zhu, Kai Lu, Chen Wang, 2017, ArXiv.

SMINT: Toward Interpretable and Robust Model Sharing for Deep Neural Networks

Richard Nock, Liming Zhu, Chen Wang, 2020, ACM Trans. Web.

Attn-HybridNet: Improving Discriminability of Hybrid Features With Attention Fusion pdf

Liming Zhu, Wei Liu, Chen Wang, 2020, IEEE Transactions on Cybernetics.

DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis

Chen Wang, Wei Liu, Liming Zhu, 2019, IJCAI.

Cycle-Balanced Representation Learning For Counterfactual Inference pdf

Liming Zhu, Xiwei Xu, Lina Yao, 2021, SDM.

A Systematic Literature Review on Federated Machine Learning

Sin Kit Lo, Q. Lu, Liming Zhu, 2020, ACM Comput. Surv..

Emerging Synergies in Causality and Deep Generative Models: A Survey

Shaoan Xie, Xiwei Xu, Biwei Huang, 2023, 2301.12351.

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems

Xiwei Xu, Xiaocong Chen, Guanglin Zhou, 2022, CIKM.

Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences

Xiwei Xu, Xiaocong Chen, Guanglin Zhou, 2022, ArXiv.

Emerging Synergies in Causality and Deep Generative Models: A Survey

Shaoan Xie, Xiwei Xu, Biwei Huang, 2023, 2301.12351.

Hybrid Networks: Improving Deep Learning Networks via Integrating Two Views of Images

Liming Zhu, Wei Liu, Chen Wang, 2018, ICONIP.

A Service-Oriented System for Optimizing Residential Energy Use

Chen Wang, Martin de Groot, Peter Marendy, 2009, 2009 IEEE International Conference on Web Services.

Text and Data Mining Techniques in Adverse Drug Reaction Detection

Cécile Paris, Sarvnaz Karimi, Alejandro Metke-Jimenez, 2015, ACM Comput. Surv..

Applying saliency-map analysis in searches for pulsars and fast radio bursts

C. J. Russell, S.-B. Zhang, L. Toomey, 2020, Astronomy & Astrophysics.

On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions

Xiwei Xu, Guanglin Zhou, Chen Wang, 2023, ArXiv.

81 New candidate fast radio bursts in Parkes archive

R. Manchester, G. Hobbs, S. Dai, 2021, Monthly Notices of the Royal Astronomical Society.

Impact of spatial resolution on the quality of crop yield predictions for site-specific crop management

R. Bramley, B. Whelan, T. Bishop, 2021 .