6 papers
ImmerIris: A Large-Scale Dataset and Benchmark for Off-Axis and Unconstrained Iris Recognition in Immersive Applications
Yuxi Mi, Qiuyang Yuan, Zhizhou Zhong +5
Recently, iris recognition is regaining prominence in immersive applications such as extended reality as a means of seamless user identification. This application scenario introduc…
scI2CL: Effectively Integrating Single-cell Multi-omics by Intra- and Inter-omics Contrastive Learning
Wuchao Liu, Han Peng, Wengen Li +3
Single-cell multi-omics data contain huge information of cellular states, and analyzing these data can reveal valuable insights into cellular heterogeneity, diseases, and biologica…
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity
Yixin Ren, Haocheng Zhang, Yewei Xia +3
Score-based causal discovery methods can effectively identify causal relationships by evaluating candidate graphs and selecting the one with the highest score. One popular class of…
Score-based Generative Modeling for Conditional Independence Testing
Yixin Ren, Chenghou Jin, Yewei Xia +6
Determining conditional independence (CI) relationships between random variables is a fundamental yet challenging task in machine learning and statistics, especially in high-dimens…
Generative Regression Based Watch Time Prediction for Short-Video Recommendation
Hongxu Ma, Kai Tian, Tao Zhang +6
Watch time prediction (WTP) has emerged as a pivotal task in short video recommendation systems, designed to quantify user engagement through continuous interaction modeling. Predi…
M-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery
Siyuan Guo, Lexuan Wang, Chang Jin +6
This paper introduces M-20M, a large-scale Multi-Modal Molecule dataset that contains over 20 million molecules, with the data mainly being integrated from existing databases…