CV

My current research focuses on AI for Scientific Discovery, spanning reliable code reproduction from academic papers and the development of LLM-based agents that propose novel scientific ideas and predict promising research directions. I previously worked as a Research Engineer at Meta Superintelligence Labs, where I contributed to the Muse Glimmer and Muse Spark models.

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Experience

Meta — Research Engineer (Nov. 2025 – Sep. 2026)

• Core contributor to Muse Glimmer, an open agentic foundation model.
• Contributed to the development of Muse Spark.
• Developed AI Scientist agents: LLM-based systems that automate scientific research tasks and machine learning engineering workflows.

AstraZeneca — Internship (Jul. 2025 – Oct. 2025)

Supervised by Dr. Saseendran and Dr. Jin. Conducted research on efficient inference for diffusion language models. Published COVER at ICML 2026, achieving up to 11.64× decoding speedup while preserving generation quality.

Education

• King's College London, London, United Kingdom Sep. 2023 – Sep. 2027 (expected)
  Ph.D. in Computer Science.
  Supervised by Prof. Yulan He with Dr. Lin Gui as co-advisor. Research topics: large language models, in-context learning, interpretability.
• Southeast University, Nanjing, China Sep. 2020 – Jun. 2023
  M.S. in Software Engineering.
  Average score: 86.42/100. Supervised by Prof. Deyu Zhou with research on question answering and code generation.
• Hefei University of Technology, Hefei, China Sep. 2016 – Jun. 2020
  B.E. in Computer Science and Technology.

Publications

• Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding [paper] [Code]
  Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He
  In ICML 2026.
• SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers [arXiv] [Code]
  Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He
  In COLM 2025.
• G3R: A Graph-Guided Generate-and-Rerank Framework for Cross-domain Text-to-SQL Generation [paper] [Code]
  Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou
  In Findings of ACL 2023.
• Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models [arXiv] [Code]
  Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
  In Findings of ACL 2024.
• Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective [paper]
  Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He
  In EMNLP 2024.
• The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis [paper]
  Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He
  In EMNLP 2024.
• PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA [paper]
  Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He
  In Findings of ACL 2025.
• A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base QA [paper]
  Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao
  In Findings of EMNLP 2021.

Awards and Honors

• NMES International Studentship (2023 – 2027)
• Outstanding Graduate Student, Hefei University of Technology (2020)
• Merit Student, Hefei University of Technology (2018)

Invited Talks

• Meta, LLaMA Community Meet-up (Jun. 4, 2025): “Towards Automatic Code Reproduction for Scientific Papers: Benchmarks and Methodologies.”

Competitions

• 1st Place, Spider Leaderboard (2022). Our model G3R achieved the top rank on the “exact set match without values” metric.

Other Skills

• IT: C++, SQL, Python, LaTeX
• Languages: English (Fluent, IELTS 7.0), Chinese (Native)