1 citations · 1 across the 5 of their papers we have counts for
5 papers
Constraints on SMEFT operators from decay
Zijian Wang, Tianyi Yang, Tianyu Mu +2
The Standard Model Effective Field Theory (SMEFT) provides a systematic framework to probe indirect effects of heavy new physics via precision measurements. While SMEFT constraints…
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning
Shenghe Zheng, Hongzhi Wang, Tianyu Mu
Neural predictors have shown great potential in the evaluation process of neural architecture search (NAS). However, current predictor-based approaches overlook the fact that train…
Boosted tau lepton as a microscope and macroscope
Sitian Qian, Zhe Guan, Sen Deng +9
Anomalies from the LHCb lepton flavour universality and Fermilab muon anomalous magnetic momentum, show tantalizing hints of possible new physics from the lepton sectors. Due to it…
Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network
Tianyu Mu, Hongzhi Wang, Chunnan Wang +1
The great amount of datasets generated by various data sources have posed the challenge to machine learning algorithm selection and hyperparameter configuration. For a specific mac…
Auto-Model: Utilizing Research Papers and HPO Techniques to Deal with the CASH problem
Chunnan Wang, Hongzhi Wang, Tianyu Mu +2
In many fields, a mass of algorithms with completely different hyperparameters have been developed to address the same type of problems. Choosing the algorithm and hyperparameter s…