CV

Education

• Ph.D. student, Harbin Institute of Technology, Shenzhen, 2025.09 - Present
  • Supervisor: Prof. Li Jing
• B.Eng. in Computer Science and Technology, YingCai Honors College, University of Electronic Science and Technology of China (UESTC), 2021.09 - 2025.06

Research Interests

• LLM Alignment
• LLM Safety
• Reinforcement Learning

Publications

Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

Weiyang Guo, Zesheng Shi, Longhui Zhang, Zeen Zhu, Min Zhang, Jing Li. (2026). "Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry." arXiv preprint arXiv:2607.03702.

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward

Weiyang Guo, Zesheng Shi, Zeen Zhu, Yuan Zhou, Min Zhang, Jing Li. (2026). "Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward." ACL 2026.

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning

Weiyang Guo, Zesheng Shi, Liye Zhao, Jiayuan Ma, Zeen Zhu, Junxian He, Min Zhang, Jing Li. (2026). "E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning." Findings of ACL 2026.

LLMs are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification

Weiyang Guo, et al. (2025). "LLMs are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification." KDD 2025.

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming

Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang. (2025). "MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming." ACL 2025.

IntFair: Graph Neural Networks for Fair Recommendations with Interest Awareness

Weiyang Guo, et al. (2024). "IntFair: Graph Neural Networks for Fair Recommendations with Interest Awareness." DASFAA 2024.

Honors and Awards

• 2024, Add your honors and awards here.
• 2023, Add your honors and awards here.