Aobo Xu

A PhD student in the School of Economics and Management at China University of Petroleum, QingDao, China.

Research Interest

Reinforcement Learning; Large Language Models; Knowledge Graph.

2023–Present, Ph.D. Student, Management Science and Engineering, China University of Petroleum (East China), Supervisor: Ling Jian
2025–Present, Visiting Ph.D. Student, Economic Informatics, Lomonosov Moscow State University, Supported by the China Scholarship Council (Grant No. 20250450059), Supervisor: Vladimir Nikolaevich Sidorenko
2020–2023, M.M., Management Science and Engineering, China University of Petroleum (East China), Supervisor: Ling Jian
2016–2020, B.Ed., Education, Tianjin University, Supervisor: Yang Liu

Research on Breakthrough Paper Recognition Methods within a Multi-Agent Framework, Innovation fund project for graduate student of China University of Petroleum (East China) and the Fundamental Research Funds for the Central Universities (Grant No.26CX04050A), 2026.01–2026.12
China Scholarship Council (Grant No. 202506450059), 2025.10–2026.09

2024, KDD CUP OAG-Challenge, Honorable Prize (11th, $ 500), Poster Presentation on KDD Cup OAG-Challenge Workshop at KDD 2024
2024, China University of Petroleum The 6th Qinglan Forum for Doctoral Students, Best Poster Award（RMB 1,000）
2023, Shandong Provincial Graduate Innovation Achievement Award
2023, “Challenge Cup” National College Student Extracurricular Academic Science and Technology Works Competition, First Prize (RMB 33,000)
2022, Shandong Province “Internet Plus” College Student Innovation and Entrepreneurship Competition, Silver Award (RMB 13,000)
2021, “Teddy Cup” Data Analysis Skills Competition, First Prize

[1] Aobo Xu, Ling Jian†, Yue Yin & Na Zhang. UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement Learning. ACM Transactions on Recommender Systems, 2024.
[2] Songyuan Liu, Peng Zhou†, Mei Wang†, & Aobo Xu. An agent-based approach to modeling power firms’ emission reduction strategies and market dynamics. Applied Energy, 2025.
[3] Min Liu, Yundong Yuan, Aobo Xu, Tianhu Deng & Ling Jian†. A learning-based artificial bee colony algorithm for operation optimization in gas pipelines. Information Sciences, 2025.
[4] Kai Shao, Xinmin Wang, Min Liu, Aobo Xu & Ling Jian†. Efficient Pump Scheduling for Large-scale Multi-Product Pipelines using Deep Reinforcement Learning. International Journal of Adaptive Control and Signal Processing, 2024.

[1] Aobo Xu, & Ling Jian†. A Deep News Headline Generation Model with REINFORCE Filter. 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, 2023.

[1] Aobo Xu, Bingyu Chang, Qingpeng Liu, & Ling Jian†. Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing. arXiv preprint arXiv:2407.17722, 2024.

[1] Aobo Xu, Chonzhi Rao, Bingyu Chang, Xuan Zhang, & Ling Jian. Knowledge graph intelligent construction model based on knowledge transfer learning strategy. Patents for Inventions, Publication (CN202311705384.2A), 2024.
[2] Xiao Gu, Zihan Xiang, Aobo Xu, Chonzhi Rao, & Ling Jian. Qingdao dialect voice recognition model based on Transformer. Patents for Inventions, Publication (CN202210797092.5A), 2024.

Reviewer, The IEEE World Congress on Computational Intelligence 2026 (WCCI 2026), IEEE/INNS International Joint Conference on Neural Networks (IJCNN) 2026
Reviewer, International Joint Conference on Neural Networks (IJCNN), 2025.
Reviewer, KDD CUP OAG-Challenge, 2024.