121 citations · 167 across the 9 of their papers we have counts for
9 papers
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation
Ben Dai, Xiaotong Shen, Lin Yee Chen +2
In explainable artificial intelligence, discriminative feature localization is critical to reveal a blackbox model's decision-making process from raw data to prediction. In this ar…
A Closer Look at Novel Class Discovery from the Labeled Set
Ziyun Li, Jona Otholt, Ben Dai +3
Novel class discovery (NCD) aims to infer novel categories in an unlabeled dataset leveraging prior knowledge of a labeled set comprising disjoint but related classes. Existing res…
Inference of nonlinear causal effects with GWAS summary data
Ben Dai, Chunlin Li, Haoran Xue +2
Large-scale genome-wide association studies (GWAS) have offered an exciting opportunity to discover putative causal genes or risk factors associated with diseases by using SNPs as…
RankSEG: A Consistent Ranking-based Framework for Segmentation
Ben Dai, Chunlin Li
Segmentation has emerged as a fundamental field of computer vision and natural language processing, which assigns a label to every pixel/feature to extract regions of interest from…
Two-level monotonic multistage recommender systems
Ben Dai, Xiaotong Shen, Wei Pan
A recommender system learns to predict the user-specific preference or intention over many items simultaneously for all users, making personalized recommendations based on a relati…
Revealing complex optical phenomena through vectorial metrics
Chao He, Jintao Chang, Patrick S. Salter +17
Advances in vectorial polarisation-resolved imaging are bringing new capabilities to applications ranging from fundamental physics through to clinical diagnosis. Imaging polarimetr…