3 papers
cond-mat.mtrl-sci2025
Atomistic Machine Learning with Irreducible Cartesian Natural Tensors
Qun Chen, A. S. L. Subrahmanyam Pattamatta, Boyu Wang +2
Atomistic machine learning is a powerful tool for accurate and efficient investigation of material behavior at the atomic scale. While attempts have been made to construct models d…
cs.LG2025
Deep Clustering via Gradual Community Detection
Tianyu Cheng, Qun Chen
Deep clustering is an essential task in modern artificial intelligence, aiming to partition a set of data samples into a given number of homogeneous groups (i.e., clusters). Recent…
cs.CL2024
Supervised Gradual Machine Learning for Aspect Category Detection
Murtadha Ahmed, Qun Chen
Aspect Category Detection (ACD) aims to identify implicit and explicit aspects in a given review sentence. The state-of-the-art approaches for ACD use Deep Neural Networks (DNNs) t…