Resume
Academic Achievements
- Preprints and Publications:
- 1. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
- 2. AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
- 3. AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora
- 4. Retrieval-Augmented Generation with Hierarchical Knowledge
- 5. Can LLMs be Good Graph Judge for Knowledge Graph Construction?
- 6. Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt
- 7. Building and Exploiting Spatial-Temporal Knowledge Graph for Next POI Recommendation
- Awards:
- 1. Huawei Spark Award, 2024
- 2. Second Prize of Huawei Cup CPMCM (National), 2024
- Academic Service:
- 1. Conference Reviewer: ARR Feb 2025, ARR May 2025
- 2. Journal Reviewer: IEEE TKDE
- 3. Conference Volunteer: EMNLP 2025
Research Experience
- 1. Conducting Ph.D. research at KnowComp, HKUST
- 2. Worked as a Research Assistant in the Center of Machine Learning Research, PKU
Education
- 1. Ph.D. in CSE at HKUST, Hong Kong SAR, China, 2025-2029 (expected), supervised by Prof. Yangqiu Song
- 2. M.Sc. in CSE at CUHK, Hong Kong SAR, China, 2024-2025, supervised by Prof. James Cheng
- 3. B.E. in CS at BJTU, Beijing, China, 2019-2023, supervised by Prof. Huaiyu Wan
- 4. Worked as a Research Assistant in the Center of Machine Learning Research of PKU, supervised by Prof. Wentao Zhang
Background
- Research interests include: Large Language Models for Knowledge Graphs and Knowledge Graphs for Large Language Models.