10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AI2026
On the Regularization Landscape for the Linear Recommendation Models
Dong Li, Zhenming Liu, Ruoming Jin +4
Recently, a wide range of recommendation algorithms inspired by deep learning techniques have emerged as the performance leaders on several standard recommendation benchmarks. Whil…
cs.IR2022
Towards Reliable Item Sampling for Recommendation Evaluation
Dong Li, Ruoming Jin, Zhenming Liu +3
Since Rendle and Krichene argued that commonly used sampling-based evaluation metrics are "inconsistent" with respect to the global metrics (even in expectation), there have been a…
cs.PL2021★ 10 cited
Toward Efficient Interactions between Python and Native Libraries
Jialiang Tan, Yu Chen, Zhenming Liu +4
Python has become a popular programming language because of its excellent programmability. Many modern software packages utilize Python for high-level algorithm design and depend o…