Chunxu Zhang

According to our database, Chunxu Zhang authored at least 41 papers between 2016 and 2026.

Collaborative distances:

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

2026

A Space-Vector-Modulation Scheme to Reduce Leakage Current in Soft-Switching Three-Phase Transformerless Inverters.

Yuying Wu, Zheng Chen, Chunxu Zhang, Yousu Yao, Shunpeng Zhu

IEEE Trans. Ind. Electron., June, 2026

RT-BFE network: A lightweight deep learning model for real-time beef freshness evaluation and edge devices deployment.

Weidong Xu, Yingchao He, Liming Que, Caitian Tang, Jiaheng Li, Chunxu Zhang, Qirong Dong, Huadong Sheng, Pengpeng Liu, Wenjun Wang, Donghong Liu

Comput. Electron. Agric., 2026

FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction.

Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu

Proceedings of the ACM Web Conference 2026, 2026

Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach.

Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang

Proceedings of the ACM Web Conference 2026, 2026

Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation.

Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang

Proceedings of the ACM Web Conference 2026, 2026

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation.

Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.

Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Personalized Recommendation Models in Federated Settings: A Survey.

Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang

IEEE Trans. Knowl. Data Eng., November, 2025

Learn to Preserve Personality: Federated Foundation Models in Recommendations.

Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang

CoRR, June, 2025

Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition.

Jundong Chen, Honglei Zhang, Haoxuan Li, Chunxu Zhang, Zhiwei Li, Yidong Li

CoRR, June, 2025

Incomplete graph learning: A comprehensive survey.

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

Neural Networks, 2025

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

Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting.

Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Distilling A Universal Expert from Clustered Federated Learning.

Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs.

Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LLM-Powered User Simulator for Recommender System.

Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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