Xianjie Guo ๐๏ธ๐ข๐ธ๐ฎ๐๐จโ๐ป
 |
I am currently pursuing a Ph.D. degree๐จโ๐ at the School of Computer My research interests primarily include๐๐๐:
|
Education
2021.09 ~ Present: Hefei University of Technology, School of Computer and Information, Ph.D. Candidate [Advisor: ๐โโ๏ธProf. Kui Yu๐]
2023.10 ~ 2024.10: Nanyang Technological University, College of Computing and Data Science, Visiting Ph.D. (CSC) [Advisor: ๐โโ๏ธProf. Han Yu๐]
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
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%, 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 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
Website Visit Statistics (Since December 2023)
