- Paper 'Spectrum Projection Score: Aligning Retrieved Summaries with Reader Models in Retrieval-Augmented Generation' accepted by AAAI 2026 Oral
- Paper 'CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation' accepted by EMNLP 2025 Main
- Paper 'Human motion video generation: A survey' accepted by TPAMI 2025
- Paper 'Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering' accepted by ACL 2025 Main
- Paper 'Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models' accepted by ACL ALVR 2024
- Paper 'Exploring Effective and Efficient Question-Answer Representations' accepted by COLING 2024
- Paper 'EEE-QA: Exploring Effective and Efficient Question-Answer Representations' accepted by AAAI 2024 DEPLOYABLE AI
Research Experience
- Interned as a full-stack engineer specializing in voice cloning algorithms at 01.AI for four months
Education
- PhD: King's College London, School of Informatics, NLP group, supervised by Dr. Lin Gui and Prof. Yulan He, starting from October 2024
- MSc: University of Edinburgh, AI, supervised by Prof. Frank Keller
- BEng: Joint program between North China Electric Power University (NCEPU) and University of Edinburgh, EEE, supervised by Dr. Jiabin Jia
Background
- Currently a second-year PhD student at King's College London, NLP group, School of Informatics
- Research interests lie in the intersection of Natural Language Processing, Retrieval-Augmented Generation (RAG), latent representation learning, and multi-modal understanding
- Long-term vision is to build principled AI systems that unify retrieval, reasoning, and multi-modal understanding into trustworthy, efficient, and human-aligned communicative agents
Miscellany
- Always open to new collaborations and engaging discussions