13 citations · 54 across the 8 of their papers we have counts for
8 papers
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Mengyuan Jing, Yanmin Zhu, Tianzi Zang +1
Deep learning-based recommender systems have achieved remarkable success in recent years. However, these methods usually heavily rely on labeled data (i.e., user-item interactions)…
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu, Yanmin Zhu, Chunyang Wang +3
Behavior prediction based on historical behavioral data have practical real-world significance. It has been applied in recommendation, predicting academic performance, etc. With th…
Deep Meta-learning in Recommendation Systems: A Survey
Chunyang Wang, Yanmin Zhu, Haobing Liu +3
Deep neural network based recommendation systems have achieved great success as information filtering techniques in recent years. However, since model training from scratch require…
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions
Tianzi Zang, Yanmin Zhu, Haobing Liu +2
Traditional recommendation systems are faced with two long-standing obstacles, namely, data sparsity and cold-start problems, which promote the emergence and development of Cross-D…
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
Haobing Liu, Yanmin Zhu, Tianzi Zang +3
Prediction tasks about students have practical significance for both student and college. Making multiple predictions about students is an important part of a smart campus. For ins…
Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
Jing Zhu, Yanan Xu, Yanmin Zhu
The aim of session-based recommendation is to predict the users' next clicked item, which is a challenging task due to the inherent uncertainty in user behaviors and anonymous impl…
ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities
Chang Liu, Yanan Xu, Yanmin Zhu
In recent years, dock-less shared bikes have been widely spread across many cities in China and facilitate people's lives. However, at the same time, it also raises many problems a…
A multimodal lossless coding method for skeletons in videos
Mingzhou Liu, Xiaoyi He, Weiyao Lin +4
Nowadays, skeleton information in videos plays an important role in human-centric video analysis but effective coding such massive skeleton information has never been addressed in…