Chunxu Zhang

According to our database, Chunxu Zhang authored at least 24 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Attribute imputation autoencoders for attribute-missing graphs.

Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang

Knowl. Based Syst., 2024

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

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

A novel graph oversampling framework for node classification in class-imbalanced graphs.

Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang

Sci. China Inf. Sci., 2024

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang

Proceedings of the ACM on Web Conference 2024, 2024

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

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

GPFedRec: Graph-Guided Personalization for Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Adaptation for Foundation Model-based Recommendations.

Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

LaenNet: Learning robust GCNs by propagating labels.

Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang

Neural Networks, November, 2023

ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation.

Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei, Chunxu Zhang

Neural Networks, October, 2023

PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction.

Chengai Sun, Caixia Jing, Liqing Qiu, Qingyu Yang, Chunxu Zhang

Artif. Intell. Rev., October, 2023

Decoupling Optimization of the Three-Coil Coupler for IPT System Featuring High Efficiency and Misalignment Tolerance.

Chunxu Zhang, Yousu Yao, Yijie Wang

IEEE Trans. Ind. Electron., September, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.

Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang

Appl. Intell., April, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang

CoRR, 2023

Graph-guided Personalization for Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang

CoRR, 2023

Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks.

Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang

Proceedings of the ACM Web Conference 2023, 2023

Dual Personalization on Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.

Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Global Contextual Dependency Network for Object Detection.

Junda Li, Chunxu Zhang, Bo Yang

Future Internet, 2022

2021

A novel framework of graph Bayesian optimization and its applications to real-world network analysis.

Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang

Expert Syst. Appl., 2021

2020

Curvature Regularization to Prevent Distortion in Graph Embedding.

Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang

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.

Chunxu Zhang, Jiaxu Cui, Bo Yang

CoRR, 2019

2016

The estimation of weighted solution convex polyhedron in SMT problem.

Zhenhui Xu, Yuting Yang, Nan Jiang, Chunxu Zhang, Pei Huang

Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016