Chunxu Zhang

Chunxu Zhang

Jilin University

Hi, my name is Chunxu Zhang (张春旭), a postdoctoral fellow at Jilin University. Before this, I received my Doctoral degree in 2024 from the College of Computer Science and Technology, Jilin University, under the supervision of Prof. Bo Yang. I also work closely with Prof. Guodong Long. My research interest includes data mining and federated learning (especially federated recommender systems).

🔥 News

  • 2024.12:  🎉🎉 We got two papers accepted by AAAI’25.
  • 2024.12:  🎉🎉 We got one tutorial accepted by WWW’25.
  • 2024.09:  🎉🎉 I passed my Ph.D. defense!
  • 2024.05:  🎉🎉 We got one paper accepted by KDD’24.
  • 2024.04:  🎉🎉 We got one paper accepted by IJCAI’24.
  • 2024.01:  🎉🎉 We got one paper accepted by WWW’24.
  • 2023.09:  🎉🎉 We got one paper accepted by Neural Networks.
  • 2023.04:  🎉🎉 We got one paper accepted by IJCAI’23.

📝 Publications

AAAI 2025
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Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach [Code]

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

KDD 2024
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GPFedRec: Graph-Guided Personalization for Federated Recommendation [Code]

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

IJCAI 2024
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Federated Adaptation for Foundation Model-based Recommendations [Code]

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

WWW 2024
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When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions [Code]

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

IJCAI 2023
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Dual personalization on federated recommendation [Code]

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

Conference Publications

  1. Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang. Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 (CCF-A)
  2. Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang. LLM-Powered User Simulator for Recommender System. The 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025 (CCF-A)
  3. Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang. GPFedRec: Graph-Guided Personalization for Federated Recommendation. The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 (CCF-A)
  4. 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. The 33rd International Joint Conference on Artificial Intelligence (IJCAI), 2024 (CCF-A)
  5. Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai. M^3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2024 (CCF-A)
  6. 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. The Web Conference 2024 (WWW), 2024 (CCF-A)
  7. Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang#, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li. Efficient and Robust Regularized Federated Recommendation (CIKM), 2024 (CCF-B)
  8. 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. The 32nd ACM International Conference on Information and Knowledge Management (CIKM), 2023 (CCF-B)
  9. Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang. Dual Personalization on Federated Recommendation. The 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023 (CCF-A)
  10. Riting Xia, Yan Zhang, Chunxu Zhang, Xueyan Liu, Bo Yang. Multi-head variational graph autoencoder constrained by sum-product networks. The Web Conference 2023 (WWW), 2023 (CCF-A)
  11. Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang. AutoSTL: Automated Spatio-Temporal Multi-Task Learning. The 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 (CCF-A)
  12. Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang. Curvature regularization to prevent distortion in graph embedding. The 34th International Conference on Neural Information Processing Systems (NeurIPS), 2020 (CCF-A)

Journal Publications

  1. Riting Xia, Chunxu Zhang, Yan Zhang, Xueyan Liu, Bo Yang. A novel graph oversampling framework for node classification in class-imbalanced graphs. Science China Information Sciences (SCIS), 2024 (CCF-A)
  2. Riting Xia, Chunxu Zhang, Anchen Li, Xueyan Liu, Bo Yang. Attribute imputation autoencoders for attribute-missing graphs. Knowledge-Based Systems (KBS), 2024 (JCR-Q1)
  3. Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang. LaenNet: Learning robust GCNs by propagating labels. Neural Networks (NN), 2023 (JCR-Q1)
  4. Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang. BO-Aug: learning data augmentation policies via Bayesian optimization (APIN), 2023 (JCR-Q2)
  5. Jiaxu Cui, Qi Tan, Chunxu Zhang, Bo Yang. A novel framework of graph Bayesian optimization and its applications to real-world network analysis. Expert Systems with Applications (ESWA), 2021 (JCR-Q1)

Tutorials

  1. Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li, Bo Yang. A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions. The Web Conference 2025 (WWW), 2025 (CCF-A)

📖 Educations

  • 2019.09 - 2024.09, Ph.D in Computer Science and Technology, Jilin University.
  • 2017.09 - 2019.07, M.Eng in Computer Science and Technology, Jilin University.
  • 2013.09 - 2017.07, B.Sc in Computer Science and Technology, Jilin University.

💬 Invited Talks

  • 2024.09, Federated Recommender Systems, 2024 Global Industrial Internet Conference: Industrial Internet Data Security Development Forum, Shenyang.

💻 Internships