activity
20152022
most citedCelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

10 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2022

UFNRec: Utilizing False Negative Samples for Sequential Recommendation

Xiaoyang Liu, Chong Liu, Pinzheng Wang +5

Sequential recommendation models are primarily optimized to distinguish positive samples from negative ones during training in which negative sampling serves as an essential compon…

stat.ML2022

Concentration of Random Feature Matrices in High-Dimensions

Zhijun Chen, Hayden Schaeffer, Rachel Ward

The spectra of random feature matrices provide essential information on the conditioning of the linear system used in random feature regression problems and are thus connected to t…

stat.ML2021★ 6 cited

Conditioning of Random Feature Matrices: Double Descent and Generalization Error

Zhijun Chen, Hayden Schaeffer

We provide (high probability) bounds on the condition number of random feature matrices. In particular, we show that if the complexity ratio where is the number o…

cs.CV2021★ 10 cited

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

Yuanhan Zhang, Zhenfei Yin, Jing Shao +22

As facial interaction systems are prevalently deployed, security and reliability of these systems become a critical issue, with substantial research efforts devoted. Among them, fa…

cs.LG2015

Feature Selection with Redundancy-complementariness Dispersion

Zhijun Chen, Chaozhong Wu, Yishi Zhang +4

Feature selection has attracted significant attention in data mining and machine learning in the past decades. Many existing feature selection methods eliminate redundancy by measu…