Chunxu Zhang

Orcid: 0000-0003-0825-872X

According to our database1, Chunxu Zhang authored at least 27 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
Attribute imputation autoencoders for attribute-missing graphs.
Knowl. Based Syst., 2024

LLM-Powered User Simulator for Recommender System.
CoRR, 2024

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.
CoRR, 2024

A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions.
CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
CoRR, 2024

A novel graph oversampling framework for node classification in class-imbalanced graphs.
Sci. China Inf. Sci., 2024

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.
Proceedings of the ACM on Web Conference 2024, 2024

M<sup>3</sup>oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GPFedRec: Graph-Guided Personalization for Federated Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Adaptation for Foundation Model-based Recommendations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient and Robust Regularized Federated Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
LaenNet: Learning robust GCNs by propagating labels.
Neural Networks, November, 2023

ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation.
Neural Networks, October, 2023

PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction.
Artif. Intell. Rev., October, 2023

Decoupling Optimization of the Three-Coil Coupler for IPT System Featuring High Efficiency and Misalignment Tolerance.
IEEE Trans. Ind. Electron., September, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.
Appl. Intell., April, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR, 2023

Graph-guided Personalization for Federated Recommendation.
CoRR, 2023

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.
Proceedings of the ACM Web Conference 2023, 2023

Dual Personalization on Federated Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Global Contextual Dependency Network for Object Detection.
Future Internet, 2022

2021
A novel framework of graph Bayesian optimization and its applications to real-world network analysis.
Expert Syst. Appl., 2021

2020
Curvature Regularization to Prevent Distortion in Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks.
CoRR, 2019

2016
The estimation of weighted solution convex polyhedron in SMT problem.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016


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