200 citations · 600 across the 27 of their papers we have counts for
5 papers · 1 filter
Towards Representation Alignment and Uniformity in Collaborative Filtering
Chenyang Wang, Yuanqing Yu, Weizhi Ma +4
Collaborative filtering (CF) plays a critical role in the development of recommender systems. Most CF methods utilize an encoder to embed users and items into the same representati…
Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI
Mihir Joshi, Aaron Pruitt, Chong Chen +2
For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be in…
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yangkun Li, Weizhi Ma, Chong Chen +4
Overfitting is a common problem in machine learning, which means the model too closely fits the training data while performing poorly in the test data. Among various methods of cop…
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Chong Chen, Yingmin Liu, Orlando P. Simonetti +5
Background: Several studies have shown that both respiratory and cardiac motion can be extracted from the Pilot Tone (PT) signal successfully. However, most of these studies were p…
Recommendation Unlearning
Chong Chen, Fei Sun, Min Zhang +1
Recommender systems provide essential web services by learning users' personal preferences from collected data. However, in many cases, systems also need to forget some training da…