Chenxu Wang

How to Retrain Recommender System?

2020

Practical recommender systems need be periodically retrained to refresh the model with new interaction data. To pursue high model fidelity, it is usually desirable to retrain the model on both historical and new data, since …

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation

2023

Sequential recommender models typically generate predictions in a single step during testing, without considering additional prediction correction to enhance performance as humans would. To improve the accuracy of these models, some researchers have attempted to …

AFLNet: Auxiliary Feature Learning-Guided Cross-Channel Automatic Modulation Classification

2025 · IEEE Transactions on Communications

This paper conducted a thorough investigation into the primary difficulty of the cross-channel automatic modulation classification (AMC) task by examining data distribution and feature space of different channel conditions. We concluded that the disruption of …