Chunxu Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Personalized Recommendation

Object Segmentation

Personal Preferences

Cold Start Problem

Top Venues

Neural Networks

Sci. China Inf. Sci.

Publications

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW (2024)
Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
Federated Adaptation for Foundation Model-based Recommendations. CoRR (2024)
Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang
Attribute imputation autoencoders for attribute-missing graphs. Knowl. Based Syst. 291 (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR (2024)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR (2024)
Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang
A novel graph oversampling framework for node classification in class-imbalanced graphs. Sci. China Inf. Sci. 67 (6) (2024)
Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CIKM (2023)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
Graph-guided Personalization for Federated Recommendation. CoRR (2023)
Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
LaenNet: Learning robust GCNs by propagating labels. Neural Networks 168 (2023)
Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. IJCAI (2023)
Chunxu Zhang, Yousu Yao, Yijie Wang
Decoupling Optimization of the Three-Coil Coupler for IPT System Featuring High Efficiency and Misalignment Tolerance. IEEE Trans. Ind. Electron. 70 (9) (2023)
Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI (2023)
Chengai Sun, Caixia Jing, Liqing Qiu, Qingyu Yang, Chunxu Zhang
PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction. Artif. Intell. Rev. 56 (10) (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
Dual Personalization on Federated Recommendation. CoRR (2023)
Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR (2023)
Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang
BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. 53 (8) (2023)
Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. WWW (2023)
Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei, Chunxu Zhang
ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. Neural Networks 167 (2023)
Junda Li, Chunxu Zhang, Bo Yang
Global Contextual Dependency Network for Object Detection. Future Internet 14 (1) (2022)
Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang
A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Syst. Appl. 170 (2021)
Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS (2020)
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR (2020)
Chunxu Zhang, Jiaxu Cui, Bo Yang
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. CoRR (2019)
Zhenhui Xu, Yuting Yang, Nan Jiang, Chunxu Zhang, Pei Huang
The estimation of weighted solution convex polyhedron in SMT problem. CCIS (2016)