CV
Summary
Ph.D. student at the Center for Excellence in Brain Science and Intelligence Technology, CAS. Research focused on Computational Neuroscience and LLM Interpretability.
Education
- Computational NeurosciencePresentChinese Academy of Sciences (CAS)
- Automation2022.06Shandong University
- Automation2020.06Beijing Institute of Technology
- Mechanical and Electronic Engineering2019.03Naval Aviation University
Work Experience
- Research Intern (Omni Base Team)2026.01 - PresentAlibaba Tongyi LabMulti-modal Agent framework and Long-video QA optimization.
- Built a multi-agent system based on Planner-Critic-Reflect for long-video understanding.
- Developed a multi-modal long-term memory system based on Mem0 and LightMem.
- Research Intern (Ling Base Team)2025.10 - 2026.01Ant GroupPre-training data quality and structured data strategies.
- Optimized knowledge conflict resolution in pre-training corpora.
- Proposed adaptive conversion strategies for structured table data.
- Research Intern2025.07 - 2025.10Microsoft Research Asia (MSRA)LLM Multi-Agent Systems and Knowledge Exploration.
- Proposed DoVer, an intervention-driven auto-debugging framework for LLM multi-agent systems.
- Developed Co-evolving Dual-Graph for open-ended deep research.
Publications
- DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems (ICLR 2026)2026
- QAQ: Bidirectional Semantic Coherence for Selecting High-Quality Synthetic Code Instructions2026
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research2026
- Label Words as Local Task Vectors in In-Context Learning2024
- SimLens for Early Exit in Large Language Models: Eliciting Accurate Latent Predictions with One More Token2025
- From end-to-end to step-by-step: Learning to abstract via abductive reinforcement learning (IJCAI 2025)2025