Chunxu Zhang - RankMe

55 papers A* 16A 3Journal 34Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach. AAAI Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2026	A*	`conf`	FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction. WWW Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu
2026	J	`jnl`	FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction. CoRR Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu
2026	A*	`conf`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. WWW Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	J	`jnl`	Learning Evolving Preferences: A Federated Continual Framework for User-Centric Recommendation. CoRR Chunxu Zhang, Zhiheng Xue, Guodong Long, Weipeng Zhang, Bo Yang
2026	A*	`conf`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. WWW Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2026	A*	`conf`	SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation. WWW Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King
2025	—	`conf`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. WWW (Companion Volume) Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2025	J	`jnl`	Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition. CoRR Jundong Chen, Honglei Zhang, Haoxuan Li, Chunxu Zhang, Zhiwei Li, Yidong Li
2025	J	`jnl`	Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach. CoRR Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2025	A*	`conf`	Distilling A Universal Expert from Clustered Federated Learning. IJCAI Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	J	`jnl`	Distilling A Universal Expert from Clustered Federated Learning. CoRR Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang
2025	A	`conf`	GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs. CIKM Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang
2025	J	`jnl`	Incomplete Graph Learning: A Comprehensive Survey. CoRR Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025	J	`jnl`	Incomplete graph learning: A comprehensive survey. Neural Networks Riting Xia, Huibo Liu, Anchen Li, Xueyan Liu, Yan Zhang, Chunxu Zhang, Bo Yang
2025	A*	`conf`	LLM-Powered User Simulator for Recommender System. AAAI Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
2025	J	`jnl`	Learn to Preserve Personality: Federated Foundation Models in Recommendations. CoRR Zhiwei Li, Guodong Long, Chunxu Zhang, Honglei Zhang, Jing Jiang, Chengqi Zhang
2025	A*	`conf`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. AAAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2025	J	`jnl`	Multimodal-enhanced Federated Recommendation: A Group-wise Fusion Approach. CoRR Chunxu Zhang, Weipeng Zhang, Guodong Long, Zhiheng Xue, Riting Xia, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. CoRR Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	Personalized Recommendation Models in Federated Settings: A Survey. IEEE Trans. Knowl. Data Eng. Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang
2025	J	`jnl`	TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting. CoRR Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang
2024	J	`jnl`	A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. CoRR Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang
2024	J	`jnl`	A novel graph oversampling framework for node classification in class-imbalanced graphs. Sci. China Inf. Sci. Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang
2024	J	`jnl`	Attribute imputation autoencoders for attribute-missing graphs. Knowl. Based Syst. Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang
2024	A	`conf`	Efficient and Robust Regularized Federated Recommendation. CIKM Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024	J	`jnl`	Efficient and Robust Regularized Federated Recommendation. CoRR Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024	A*	`conf`	Federated Adaptation for Foundation Model-based Recommendations. IJCAI Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	J	`jnl`	Federated Adaptation for Foundation Model-based Recommendations. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	A*	`conf`	GPFedRec: Graph-Guided Personalization for Federated Recommendation. KDD Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2024	J	`jnl`	LLM-Powered User Simulator for Recommender System. CoRR Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang
2024	A*	`conf`	M SIGIR Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024	J	`jnl`	M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
2024	J	`jnl`	Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. CoRR Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang
2024	A*	`conf`	When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions. WWW Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang
2023	A*	`conf`	AutoSTL: Automated Spatio-Temporal Multi-Task Learning. AAAI Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023	J	`jnl`	AutoSTL: Automated Spatio-Temporal Multi-Task Learning. CoRR Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang
2023	J	`jnl`	BO-Aug: learning data augmentation policies via Bayesian optimization. Appl. Intell. Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang
2023	J	`jnl`	Decoupling Optimization of the Three-Coil Coupler for IPT System Featuring High Efficiency and Misalignment Tolerance. IEEE Trans. Ind. Electron. Chunxu Zhang, Yousu Yao, Yijie Wang
2023	A*	`conf`	Dual Personalization on Federated Recommendation. IJCAI Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Dual Personalization on Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang
2023	J	`jnl`	Graph-guided Personalization for Federated Recommendation. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang
2023	J	`jnl`	IFedRec: Item-Guided Federated Aggregation for Cold-Start. CoRR Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang
2023	J	`jnl`	LaenNet: Learning robust GCNs by propagating labels. Neural Networks Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang
2023	A*	`conf`	Multi-head Variational Graph Autoencoder Constrained by Sum-product Networks. WWW Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang
2023	J	`jnl`	PC-IEN: a click-through rate prediction method based on dynamic collaborative personalized interest extraction. Artif. Intell. Rev. Chengai Sun, Caixia Jing, Liqing Qiu, Qingyu Yang, Chunxu Zhang
2023	A	`conf`	PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CIKM Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
2023	J	`jnl`	PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. CoRR Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu
2023	J	`jnl`	ShuffleTrans: Patch-wise weight shuffle for transparent object segmentation. Neural Networks Boxiang Zhang, Zunran Wang, Yonggen Ling, Yuanyuan Guan, Shenghao Zhang, Wenhui Li, Lei Wei, Chunxu Zhang
2022	J	`jnl`	Global Contextual Dependency Network for Object Detection. Future Internet Junda Li, Chunxu Zhang, Bo Yang
2021	J	`jnl`	A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Syst. Appl. Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang
2020	A*	`conf`	Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang
2020	J	`jnl`	Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang
2019	J	`jnl`	Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks. CoRR Chunxu Zhang, Jiaxu Cui, Bo Yang
2016	—	`conf`	The estimation of weighted solution convex polyhedron in SMT problem. CCIS Zhenhui Xu, Yuting Yang, Nan Jiang, Chunxu Zhang, Pei Huang