3.7k citations · 4.5k across the 21 of their papers we have counts for
21 papers
Predicting the Future of the CMS Detector: Crystal Radiation Damage and Machine Learning at the LHC
Bhargav Joshi, Taihui Li, Buyun Liang +2
The 75,848 lead tungstate crystals in CMS experiment at the CERN Large Hadron Collider are used to measure the energy of electrons and photons produced in the proton-proton collisi…
Interpretable Deep Learning Methods for Multiview Learning
Hengkang Wang, Han Lu, Ju Sun +1
Technological advances have enabled the generation of unique and complementary types of data or views (e.g. genomics, proteomics, metabolomics) and opened up a new era in multiview…
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang, Tim Mitchell, Ju Sun
Imposing explicit constraints is relatively new but increasingly pressing in deep learning, stimulated by, e.g., trustworthy AI that performs robust optimization over complicated p…
Practical Phase Retrieval Using Double Deep Image Priors
Zhong Zhuang, David Yang, Felix Hofmann +2
Phase retrieval (PR) concerns the recovery of complex phases from complex magnitudes. We identify the connection between the difficulty level and the number and variety of symmetri…
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection
Han Liu, Feng Zhang, Xiaotong Zhang +4
Multi-label aspect category detection allows a given review sentence to contain multiple aspect categories, which is shown to be more practical in sentiment analysis and attracting…
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism
Han Liu, Siyang Zhao, Xiaotong Zhang +4
Zero-shot intent classification is a vital and challenging task in dialogue systems, which aims to deal with numerous fast-emerging unacquainted intents without annotated training…