Zijian Wang
Scholar

Zijian Wang

Google Scholar ID: v8al3dIAAAAJ
China University of Petroleum(East China)
RLLLMNLP
Citations & Impact
All-time
Citations
5
 
H-index
1
 
i10-index
0
 
Publications
4
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - Publications:
  • * 'Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration', AAAI Conference on Artificial Intelligence (AAAI), 2025
  • * 'Windows deep transformer Q-networks: an extended variance reduction architecture for partially observable reinforcement learning', Applied Intelligence, 2024
  • * 'Controllable Flow Matching for Online Reinforcement Learning', AAAI Conference on Artificial Intelligence (AAAI), 2026
  • * 'Decomposing Scientific Paper Queries with Draft-and-Follow Policy Optimization', International Conference on Learning Representations (ICLR), 2026, Under Review
  • - Awards:
  • * National Scholarship (Ministry of Education, Top 0.2%), 2024
  • * First Prize, The Chinese Mathematics Competitions for College Students, 2023
  • * Outstanding Student Prize, China University of Petroleum, 2023-2024 (2 consecutive years)
  • * Outstanding Star Scholarship for Innovation and Entrepreneurship, China University of Petroleum, 2024-2025 (2 consecutive years)
Research Experience
  • - Position: Research Intern
  • - Institution: X-LANCE Lab, Shanghai Jiao Tong University
  • - Time: Apr 2025 - Present
  • - Project: LLM Post-training & Agent-RL within the LLM group
  • - Supervisor: Prof. Lu Chen
  • - Position: Undergraduate Researcher
  • - Institution: Department of Artificial Intelligence, China University of Petroleum (East China)
  • - Time: Sep 2023 - Present
  • - Project: Research on Graph Reinforcement Learning & Model-based Reinforcement Learning
  • - Advisor: Prof. Bin Wang
Education
  • - Degree: Bachelor's
  • - School: China University of Petroleum (East China)
  • - Time: Sep 2022 - Jun 2026
  • - Major: Computer Science and Technology
  • - GPA: 4.18/5.00 (91.8/100)
  • - Ranking: 2nd out of 88 students
  • - Core Courses: Data Structure, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, etc.
  • - Degree: Doctorate
  • - School: Shanghai Jiao Tong University
  • - Advisor: Prof. Lu Chen
  • - Time: Sep 2026 - Present
  • - Lab: X-LANCE Lab
Background
  • - Research Interests: Reinforcement Learning (especially Graph RL and Model-based RL)
  • - Field: Computer Science and Technology
  • - Brief Introduction: Currently a 4th year undergraduate student at China University of Petroleum (East China), and will be a Ph.D. Student at X-LANCE Lab, Shanghai Jiao Tong University from Fall 2026.
Miscellany
  • - Hobbies and Interests: Not provided in detail
Co-authors
0 total
Co-authors: 0 (list not available)