9 citations · 20 across the 6 of their papers we have counts for
6 papers
A Self-Correcting Sequential Recommender
Yujie Lin, Chenyang Wang, Zhumin Chen +6
Sequential recommendations aim to capture users' preferences from their historical interactions so as to predict the next item that they will interact with. Sequential recommendati…
Modeling Sequential Recommendation as Missing Information Imputation
Yujie Lin, Zhumin Chen, Zhaochun Ren +5
Side information is being used extensively to improve the effectiveness of sequential recommendation models. It is said to help capture the transition patterns among items. Most pr…
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang, Shiyao Ma, Jiangtian Nie +4
Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is general…
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang, Pengjie Ren, Zhumin Chen +5
Electronic health record (EHR) coding is the task of assigning ICD codes to each EHR. Most previous studies either only focus on the frequent ICD codes or treat rare and frequent I…
Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches
Xudong Liu, Bing Xu, Yuyu Zhang +5
The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness…
Efficient Multicore Collaborative Filtering
Yao Wu, Qiang Yan, Danny Bickson +2
This paper describes the solution method taken by LeBuSiShu team for track1 in ACM KDD CUP 2011 contest (resulting in the 5th place). We identified two main challenges: the unique…