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 Feature Selection Causal Structure Learning Federated Causal Discovery Email: XXXXXXXXXX@mail.hfut.edu.cn [Google Scholar] [GitHub] [Chinese Page]

Education

• 2023.09 ~ Present: Nanyang Technological University, School of Computer Science and Engineering, Joint Ph.D. [Advisor: Prof. Han Yu]

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

Accepted Papers

• 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.
  [SCI Q1, Impact Factor: 8.9, CCF A-list Journal] Related Download Links: [PDF][Code][Supplementary Material]

• 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), 2022.
  [CCF B-list Conference] Related Download Links: [PDF]

• 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: 10.4, CCF B-list 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-list Journal] Related Download Links: [PDF][Code]

• 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: 16.6] 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: 7.2, CCF C-list Journal] Related Download Links: [PDF][Code][Supplementary Material]

• Local Causal Structure Learning with Missing Data
  Shaojing Sheng, Xianjie Guo, Kui Yu, and Xindong Wu
  Expert Systems With Applications (ESWA), 2023.
  [SCI Q1, Impact Factor: 8.5, CCF C-list Journal] Related Download Links: [PDF]

• 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 Q3, Impact Factor: 5.0] 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: 5.3, CCF C-list Journal] Related Download Links: [PDF]

• 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 Indexed] 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 Indexed] Related Download Links: [PDF]

Papers Under Review

• Progressive Skeleton Learning for Causal Structure Learning
  Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li, Jiye Liang, and Xindong Wu
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. [SCI Q1, Impact Factor: 23.6, CCF A-list Journal, Under review]

• Stratified Learning of Causal Structures by Sampling
  Guodu Xiang, Hao Wang, Kui Yu, Xianjie Guo, and Fuyuan Cao
  IEEE Transactions on Artificial Intelligence (TAI), 2023. [EI Journal, Minor revision]

Honors and Awards

• Outstanding Academic Scholarship, Anhui Normal University (2017.11)

• Second-class Academic Scholarship, Hefei University of Technology (HFUT) (2018.11)

• Second-class Academic Scholarship, HFUT (2019.11)

• First-class Academic Scholarship, HFUT (2020.11)

• National Scholarship for Graduate Students, China (2020.11)

• Outstanding Graduate of Anhui Province, China (2021.5)

• Outstanding Graduate of HFUT (2021.5)

• ACF Outstanding Master's Thesis Award 2021 (2021.12)

• First-class Academic Scholarship, HFUT (2021.11)

• Outstanding Master's Thesis Award of Anhui Province (2022.12)

Research Projects

• Research on Federated Causal Inference Algorithms for Privacy-Preserving Data (No. 62376087), Jan 2024 - Dec 2027
  Key Participants; 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
  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
  

Academic Service

Journal Reviewer

• IEEE Transactions on Neural Networks and Learning Systems

• ACM Transactions on Knowledge Discovery from Data

• IEEE Transactions on Signal and Information Processing over Networks

• Applied Intelligence

• International Journal of Machine Learning and Cybernetics

• The Journal of Supercomputing

• Intelligent Automation and Soft Computing

Conference Reviewer

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

• Association for the Advancement of Artificial Intelligence (AAAI’24), PC Member

• The International Workshop on Federated Learning in the Age of Foundation Models (FL@FM-NeurIPS 2023), PC Member