I am currently pursuing a Ph.D. degree👨‍🎓 at the School of Computer Science and Engineering, Hefei University of Technology (HFUT). My research interests primarily include😎😎😎: ✔️ Causal Discovery Causal Feature Selection Causal Structure Learning ✔️ Federated Learning Federated Causal Discovery 🔜 Trustworthy Artificial Intelligence

📧 [E-mail] 🎓 [Google Scholar] 📥 [GitHub] 🆔 [ORCID] 📑 [Chinese Page]

Education

• 2021.09 ~ Present: Hefei University of Technology, School of Computer and Information, Ph.D. Candidate [Advisor: 💁‍♂️Prof. Kui Yu👍]

• 2023.10 ~ 2024.10: Nanyang Technological University, College of Computing and Data Science, Visiting Ph.D. (CSC) [Advisor: 💁‍♂️Prof. Han Yu👍]

• 2018.09 ~ 2021.07: Hefei University of Technology, School of Computer and Information, Master's Degree

• 2014.09 ~ 2018.07: Anhui Normal University, School of Computer and Information, Bachelor's Degree

Academic Papers

2025

• Federated Causally Invariant Feature Learning
  Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, and Xiaoxiao Li
  Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI'25), 2025.
  [CCF A-level Conference, Acceptance rate approximately 23.40%] Related download links: [PDF][Code][Appendix]

2024

• Enhancing Causal Discovery in Federated Settings with Limited Local Samples
  Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, and Gang Wang
  International Workshop on Federated Foundation Models in Conjunction with NeurIPS 2024 (FL@FM-NeurIPS), 2024.
  [Top Conference Workshop, Outstanding Student Paper Award, Oral] Related download links: [PDF][Code]

• Progressive Skeleton Learning for Effective Local-to-Global Causal Structure Learning
  Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, Fuyuan Cao, and Xindong Wu
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
  [CCF A-level Journal] Related download links: [PDF][Code][Supplementary Material]

• Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
  Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, and Xiaoxiao Li
  Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), 2024.
  [CCF A-level Conference, Acceptance rate approximately 14.00%, (Long) Oral] Related download links: [PDF][Code][Appendix]

• FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
  Xianjie Guo, Kui Yu, Lin Liu, and Jiuyong Li
  Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024.
  [CCF A-level Conference, Acceptance rate approximately 23.75%] Related download links: [PDF][Code][Appendix]

• Local Causal Structure Learning with Missing Data
  Shaojing Sheng, Xianjie Guo, Kui Yu, and Xindong Wu
  Expert Systems With Applications (ESWA), 2024.
  [SCI Q1, Impact Factor: 7.5, CCF C-level Journal] Related download links: [PDF]

2023

• Adaptive Skeleton Construction for Accurate DAG Learning
  Xianjie Guo, Kui Yu, Lin Liu, Peipei Li, and Jiuyong Li
  IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023.
  [CCF A-level Journal] Related download links: [PDF][Code][Supplementary Material]

• Towards Privacy-Aware Causal Structure Learning in Federated Setting
  Jianli Huang, Xianjie Guo (co-first author), Kui Yu, Fuyuan Cao, and Jiye Liang
  IEEE Transactions on Big Data (TBD), 2023.
  [SCI Q2, Impact Factor: 7.5, CCF C-level Journal] Related download links: [PDF][Code][Supplementary Material]

• Causal Feature Selection in the Presence of Sample Selection Bias
  Shuai Yang, Xianjie Guo, Kui Yu, Xiaoling Huang, Tingting Jiang, Jin He, and Lichuan Gu
  ACM Transactions on Intelligent Systems and Technology (TIST), 2023.
  [SCI Q4, Impact Factor: 7.2] Related download links: [PDF]

• A novel data enhancement approach to DAG learning with small data samples
  Xiaoling Huang, Xianjie Guo, Yuling Li, and Kui Yu
  Applied Intelligence (APIN), 2023.
  [SCI Q2, Impact Factor: 3.4, CCF C-level Journal] Related download links: [PDF]

• Bootstrap-based Layer-wise Refining for Causal Structure Learning
  Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, Fuyuan Cao, and Yukun Song
  IEEE Transactions on Artificial Intelligence (TAI), 2023.
  [EI Journal] Related download links: [PDF][Code]

2022

• Bootstrap-based Causal Structure Learning
  Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, and Kui Yu
  Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM'22), 2022.
  [CCF B-level Conference, Long paper, Acceptance rate approximately 21.6%] Related download links: [PDF][Code]

• Causal Feature Selection With Dual Correction
  Xianjie Guo, Kui Yu, Lin Liu, Fuyuan Cao, and Jiuyong Li
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
  [SCI Q1, Impact Factor: 10.2, CCF B-level Journal] Related download links: [PDF][Code][Supplementary Material]

• Error-aware Markov blanket learning for causal feature selection
  Xianjie Guo, Kui Yu, Fuyuan Cao, Peipei Li, and Hao Wang
  Information Sciences (INS), 2022.
  [SCI Q1, Impact Factor: 8.1, CCF B-level Journal] Related download links: [PDF][Code]

2021

• Accelerating Learning Bayesian Network Structures by Reducing Redundant CI Tests
  Wentao Hu, Shuai Yang, Xianjie Guo, and Kui Yu
  2021 IEEE International Conference on Big Knowledge (ICBK), 2021.
  [EI Conference] Related download links: [PDF]

• Improving Gradient-based DAG Learning by Structural Asymmetry
  Yujie Wang, Shuai Yang, Xianjie Guo, and Kui Yu
  2021 IEEE International Conference on Big Knowledge (ICBK), 2021.
  [EI Conference] Related download links: [PDF]

2020

• Causality-based Feature Selection: Methods and Evaluations
  Kui Yu, Xianjie Guo, Lin Liu, Jiuyong Li, Hao Wang, Zhaolong Ling, and Xindong Wu
  ACM Computing Surveys (CSUR), 2020.
  [SCI Q1, Impact Factor: 23.8] Related download links: [PDF][Code][Supplementary Material]

Honors and Awards

• National Scholarship for Master's Students [Rank: 3rd / 15] (Nov 2020)

• National Scholarship for Doctoral Students [Rank: 1st / 6] (Sep 2024)

• Outstanding Graduate of Anhui Province (May 2021)

• Outstanding Graduate of Hefei University of Technology (May 2021)

• 2021 Annual Outstanding Master's Thesis Award of the Anhui Computer Federation (Dec 2021)

• 2022 Annual Outstanding Master's Thesis Award of Anhui Province (Dec 2022)

• 2023 National Scholarship for Study Abroad by the China Scholarship Council (Aug 2023)

• 2023 Anhui Province New Era Education Quality Project - Graduate Academic Innovation: Federation Causal Discovery for Medical Data (No. 2023xscx012), Project Principal Investigator

• 2024 Anhui Province New Era Education Quality Project - Graduate Student "Innovation and Entrepreneurship Star"

• FL@FM-NeurIPS'24 Outstanding Student Paper Award (Oct 2024)

Research Projects

• Research on Federated Causal Inference Algorithms for Privacy-Preserving Data (No. 62376087), Jan 2024 - Dec 2027
  Project Backbone; Funding: 510,000 RMB
  National Natural Science Foundation of China General Project
  

• Trustworthy Cross-Media Causal Inference and Reliable Machine Learning (No. 2021ZD0111801), 2021.12-2025.11
  Subproject Core Member; Fund: 1.8 million RMB
  Ministry of Science and Technology of China 2030 Science and Technology Innovation Project - "New Generation Artificial Intelligence" Major Project
  

• Commonsense Knowledge Learning and Causal Analysis (No. 2020AAA0106100), 2020.11-2024.10
  Project Core Member; Fund: 1.8 million RMB
  Ministry of Science and Technology of China 2030 Science and Technology Innovation Project - "New Generation Artificial Intelligence" Major Project
  

Academic Service

Journal Reviewer

• IEEE Transactions on Knowledge and Data Engineering

• IEEE Transactions on Neural Networks and Learning Systems

• ACM Transactions on Knowledge Discovery from Data

• IEEE Transactions on Signal and Information Processing over Networks

• IEEE Transactions on Emerging Topics in Computational Intelligence

• Machine Learning

• Neurocomputing

• Applied Intelligence

• International Journal of Machine Learning and Cybernetics

• The Journal of Supercomputing

• Intelligent Automation and Soft Computing

• CMC-Computers Materials & Continua

• Neural Processing Letters

Conference Reviewer

• International Conference on Machine Learning (ICML'25), PC Member

• International Conference on Learning Representations (ICLR'25), PC Member

• Association for the Advancement of Artificial Intelligence (AAAI'24-25), PC Member

• International Joint Conference on Artificial Intelligence (IJCAI'24), PC Member

• The International Workshop on Federated Learning in the Age of Foundation Models (FL@FM-NeurIPS'23), PC Member

• The International Workshop on Federated Foundation Models for the Web 2024 (FL@FM-TheWebConf'24), PC Member

• The International Workshop on Trustworthy Federated Learning in Conjunction with IJCAI 2023 (FL-IJCAI'23), PC Member

• The International Workshop on Federated Learning and Foundation Models (FL@FM-ICME'24), PC Member

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