44 citations · 99 across the 9 of their papers we have counts for
8 papers
Class Attention Transfer Based Knowledge Distillation
Ziyao Guo, Haonan Yan, Hui Li +1
Previous knowledge distillation methods have shown their impressive performance on model compression tasks, however, it is hard to explain how the knowledge they transferred helps…
Self-supervised Graph Representation Learning for Black Market Account Detection
Zequan Xu, Lianyun Li, Hui Li +3
Nowadays, Multi-purpose Messaging Mobile App (MMMA) has become increasingly prevalent. MMMAs attract fraudsters and some cybercriminals provide support for frauds via black market…
Fast and Secure Distributed Nonnegative Matrix Factorization
Yuqiu Qian, Conghui Tan, Danhao Ding +2
Nonnegative matrix factorization (NMF) has been successfully applied in several data mining tasks. Recently, there is an increasing interest in the acceleration of NMF, due to its…
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
Cheng Wang, Mathias Niepert, Hui Li
Data sparsity and data imbalance are practical and challenging issues in cross-domain recommender systems. This paper addresses those problems by leveraging the concepts which deri…
MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran +3
We present MMKG, a collection of three knowledge graphs that contain both numerical features and (links to) images for all entities as well as entity alignments between pairs of KG…
LRMM: Learning to Recommend with Missing Modalities
Cheng Wang, Mathias Niepert, Hui Li
Multimodal learning has shown promising performance in content-based recommendation due to the auxiliary user and item information of multiple modalities such as text and images. H…