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Zhejiang University
Data Scientist
June 25, 2026 – Present
K-ON
February 22, 2025 – February 22, 2025
K-ON: Stacking Knowledge On the Head Layer of Large Language Model, AAAI 2025 Oral
View ProjectMKGL
October 8, 2024 – February 24, 2025
Mastery of a Three-Word Language for Knowledge Graph Completion
View ProjectGEEA
February 24, 2024 – February 24, 2024
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
View ProjectNCGNN
October 13, 2023 – October 19, 2023
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
View ProjectKG-LLM-Papers
June 12, 2023 – Present
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
View ProjectMEAformer
December 20, 2022 – July 25, 2024
[Paper][ACM MM 2023] MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid
View ProjectRLEA
February 27, 2022 – May 25, 2022
Official repository for Deep Reinforcement Learning for Entity Alignment
View ProjectNeoEA
October 21, 2021 – May 31, 2022
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
View ProjectRSN
April 29, 2019 – October 20, 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019
View ProjectCultural Fit Analysis
The candidate's profile is highly specialized in academic research within AI/ML, particularly knowledge graphs and large language models. While this demonstrates deep technical expertise, the lack of diverse project types (all personal research projects) and limited industry experience (one current role at a university) suggests a potential gap in broader industry application or team collaboration experience. This specialization might limit immediate cultural fit in a fast-paced, product-driven environment without further evidence of adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is heavily research-oriented, which may or may not translate directly to industry operational fit without further assessment.