1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2024
Open Knowledge Base Canonicalization with Multi-task Learning
Bingchen Liu, Huang Peng, Weixin Zeng +3
The construction of large open knowledge bases (OKBs) is integral to many knowledge-driven applications on the world wide web such as web search. However, noun phrases and relation…
cs.LG2024★ 1 cited
Federated Knowledge Graph Unlearning via Diffusion Model
Bingchen Liu, Yuanyuan Fang
Federated learning (FL) promotes the development and application of artificial intelligence technologies by enabling model sharing and collaboration while safeguarding data privacy…
cs.AI2023
Open Knowledge Base Canonicalization with Multi-task Unlearning
Bingchen Liu, Shihao Hou, Weixin Zeng +3
The construction of large open knowledge bases (OKBs) is integral to many applications in the field of mobile computing. Noun phrases and relational phrases in OKBs often suffer fr…