360 citations · 935 across the 27 of their papers we have counts for
7 papers · 1 filter
Storage ring mass spectrometry for nuclear structure and astrophysics research
Y. H. Zhang, Yu. A. Litvinov, T. Uesaka +1
In the last two and a half decades ion storage rings have proven to be powerful tools for precision experiments with unstable nuclides in realm of nuclear structure and astrophysic…
Ideal Intersecting Nodal Ring Phonons in a Body-Centered Cubic C
Y. J. Jin, Z. J. Chen, B. W. Xia +3
Carbon, a basic versatile element in our universe, exhibits rich varieties of allotropic phases, most of which possess promising nontrivial topological fermions. In this work, we i…
Open-world Learning and Application to Product Classification
Hu Xu, Bing Liu, Lei Shu +1
Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training. However, in the dynamic world, new or unseen cl…
Three-Dimensional Quantum Anomalous Hall Effect in Ferromagnetic Insulators
Y. J. Jin, R. Wang, B. W. Xia +2
The quantum anomalous Hall effect (QAHE) hosts the dissipationless chiral edge states associated with the nonzero Chern number, providing potentially significant applications in fu…
Lifelong Domain Word Embedding via Meta-Learning
Hu Xu, Bing Liu, Lei Shu +1
Learning high-quality domain word embeddings is important for achieving good performance in many NLP tasks. General-purpose embeddings trained on large-scale corpora are often sub-…
Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction
Hu Xu, Bing Liu, Lei Shu +1
One key task of fine-grained sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. This paper focuses on supervised…
Unseen Class Discovery in Open-world Classification
Lei Shu, Hu Xu, Bing Liu
This paper concerns open-world classification, where the classifier not only needs to classify test examples into seen classes that have appeared in training but also reject exampl…