12 citations · 29 across the 11 of their papers we have counts for
11 papers
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
Chen Ma, Liheng Ma, Yingxue Zhang +3
Personalized recommender systems are playing an increasingly important role as more content and services become available and users struggle to identify what might interest them. A…
Shapley Homology: Topological Analysis of Sample Influence for Neural Networks
Kaixuan Zhang, Qinglong Wang, Xue Liu +1
Data samples collected for training machine learning models are typically assumed to be independent and identically distributed (iid). Recent research has demonstrated that this as…
Hierarchical Gating Networks for Sequential Recommendation
Chen Ma, Peng Kang, Xue Liu
The chronological order of user-item interactions is a key feature in many recommender systems, where the items that users will interact may largely depend on those items that user…
Gated Attentive-Autoencoder for Content-Aware Recommendation
Chen Ma, Peng Kang, Bin Wu +2
The rapid growth of Internet services and mobile devices provides an excellent opportunity to satisfy the strong demand for the personalized item or product recommendation. However…
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
Chen Ma, Yingxue Zhang, Qinglong Wang +1
The rapid growth of Location-based Social Networks (LBSNs) provides a great opportunity to satisfy the strong demand for personalized Point-of-Interest (POI) recommendation service…
Proactive Doppler Shift Compensation in Vehicular Cyber-Physical Systems
Jian Du, Xue Liu, Lei Rao
In vehicular cyber-physical systems (CPS), safety information, including vehicular speed and location information, is shared among vehicles via wireless waves at specific frequency…