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Chang Liu
231 publications
Weinan Zhang
146 publications
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107 publications
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∙ 03/17/2023

Contrastive Self-supervised Learning in Recommender Systems: A Survey

Deep learning-based recommender systems have achieved remarkable success...

0 Mengyuan Jing, et al. ∙

∙ 07/24/2022

Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis

Behavior prediction based on historical behavioral data have practical r...

0 Haobing Liu, et al. ∙

∙ 06/09/2022

Deep Meta-learning in Recommendation Systems: A Survey

Deep neural network based recommendation systems have achieved great suc...

0 Chunyang Wang, et al. ∙

∙ 08/07/2021

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Traditional recommendation systems are faced with two long-standing obst...

0 Tianzi Zang, et al. ∙

∙ 03/25/2021

Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks

Prediction tasks about students have practical significance for both stu...

0 Haobing Liu, et al. ∙

∙ 06/27/2020

Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation

The aim of session-based recommendation is to predict the users' next cl...

0 Jing Zhu, et al. ∙

∙ 09/25/2019

ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities

In recent years, dock-less shared bikes have been widely spread across m...

0 Chang Liu, et al. ∙

∙ 05/11/2019

CoLight: Learning Network-level Cooperation for Traffic Signal Control

Cooperation is critical in multi-agent reinforcement learning (MARL). In...

0 Hua Wei, et al. ∙

∙ 05/06/2019

A multimodal lossless coding method for skeletons in videos

Nowadays, skeleton information in videos plays an important role in huma...

0 Mingzhou Liu, et al. ∙

∙ 12/12/2018

STEP : A Distributed Multi-threading Framework Towards Efficient Data Analytics

Various general-purpose distributed systems have been proposed to cope w...

0 Yijie Mei, et al. ∙

∙ 11/20/2018

Explaining Latent Factor Models for Recommendation with Influence Functions

Latent factor models (LFMs) such as matrix factorization achieve the sta...

0 Weiyu Cheng, et al. ∙

∙ 11/01/2018

Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction

Cloud services have grown rapidly in recent years, which provide high fl...

0 Shengwei Chen, et al. ∙

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