458 citations · 979 across the 26 of their papers we have counts for
27 papers
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
Tengfei Ma, Trong Nghia Hoang, Jie Chen
Learning an effective global model on private and decentralized datasets has become an increasingly important challenge of machine learning when applied in practice. Existing distr…
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Yinan Liu, Xinyu Dong, Weimin Lyu +4
Class imbalance problems widely exist in the medical field and heavily deteriorates performance of clinical predictive models. Most techniques to alleviate the problem rebalance cl…
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description
Ruixuan Yan, Tengfei Ma, Achille Fokoue +2
Most existing Time series classification (TSC) models lack interpretability and are difficult to inspect. Interpretable machine learning models can aid in discovering patterns in d…
LUXE-NPOD: new physics searches with an optical dump at LUXE
Zhaoyu Bai, Thomas Blackburn, Oleksandr Borysov +8
We propose a novel way to search for feebly interacting massive particles, exploiting two properties of systems involving collisions between high energy electrons and intense laser…
Probing ALPs at the CERN Gamma Factory
Reuven Balkin, Mieczyslaw W. Krasny, Teng Ma +2
The aim of the proposed CERN Gamma Factory is to produce photons per second with energies up to 400 MeV. The photon beam intensity is expected to be a factor of $\ma…
Constructing Contrastive samples via Summarization for Text Classification with limited annotations
Yangkai Du, Tengfei Ma, Lingfei Wu +4
Contrastive Learning has emerged as a powerful representation learning method and facilitates various downstream tasks especially when supervised data is limited. How to construct…