Xu Chen

Orcid: 0000-0001-5299-7074

Affiliations:
  • Alibaba Group
  • University of Technology Sydney, Sydney, NSW, Australia (former)
  • Shanghai Jiao Tong University, Shanghai, China (former)


According to our database1, Xu Chen authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Coarse-to-Fine Contrastive Learning on Graphs.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learning node representations against perturbations.
Pattern Recognit., January, 2024

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.
ACM Trans. Inf. Syst., January, 2023

Contrastive Attraction and Contrastive Repulsion for Representation Learning.
Trans. Mach. Learn. Res., 2023

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.
CoRR, 2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction.
CoRR, 2023

2022
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning on Attribute-Missing Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neural Message Passing for Visual Relationship Detection.
CoRR, 2022

2021
Decoupled Variational Embedding for Signed Directed Networks.
ACM Trans. Web, 2021

Contrastive Conditional Transport for Representation Learning.
CoRR, 2021

2020
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.
CoRR, 2020

Learning Robust Node Representations on Graphs.
CoRR, 2020

Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs.
CoRR, 2020

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph.
CoRR, 2020

Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Cascading: Association Augmented Sequential Recommendation.
CoRR, 2019

Node Attribute Generation on Graphs.
CoRR, 2019

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Variational Collaborative Learning for User Probabilistic Representation.
CoRR, 2018

Recommendation with Hybrid Interest Model.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018


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