Xin Xin | DeepAI

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Featured Co-authors

Yu Wang
247 publications
Dong Wang
219 publications
Jun Liu
165 publications
Maarten de Rijke
159 publications
Li Shen
121 publications
Xiangnan He
117 publications
Yong Li
110 publications
Bo Chen
93 publications
Liang Chen
91 publications
Jun Ma
84 publications
Yongdong Zhang
60 publications

∙ 05/24/2023

How Graph Convolutions Amplify Popularity Bias for Recommendation?

Graph convolutional networks (GCNs) have become prevalent in recommender...

0 Jiajia Chen, et al. ∙

∙ 05/18/2023

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems

Learning reinforcement learning (RL)-based recommenders from historical ...

0 Zhaochun Ren, et al. ∙

∙ 05/09/2023

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment

Recommender systems that learn from implicit feedback often use large vo...

0 Xin Xin, et al. ∙

∙ 03/04/2023

A Self-Correcting Sequential Recommender

Sequential recommendations aim to capture users' preferences from their ...

0 Yujie Lin, et al. ∙

∙ 12/22/2022

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation

Conversational recommender systems (CRSs) often utilize external knowled...

0 Xiaoyu Zhang, et al. ∙

∙ 10/16/2022

On the User Behavior Leakage from Recommender System Exposure

Modern recommender systems are trained to predict users potential future...

0 Xin Xin, et al. ∙

∙ 09/27/2022

Robust Fused Lasso Penalized Huber Regression with Nonasymptotic Property and Implementation Studies

For some special data in reality, such as the genetic data, adjacent gen...

0 Xin Xin, et al. ∙

∙ 06/15/2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective

Modern recommender systems aim to improve user experience. As reinforcem...

0 Xin Xin, et al. ∙

∙ 05/20/2022

GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation

Generating recommendations based on user-item interactions and user-user...

0 Jiajia Chen, et al. ∙

∙ 11/05/2021

Supervised Advantage Actor-Critic for Recommender Systems

Casting session-based or sequential recommendation as reinforcement lear...

5 Xin Xin, et al. ∙

∙ 10/28/2021

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning

Since the inception of Recommender Systems (RS), the accuracy of the rec...

4 Dusan Stamenkovic, et al. ∙

∙ 09/28/2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation

In collaborative filtering, it is an important way to make full use of s...

0 Yunzhe Li, et al. ∙

∙ 09/27/2021

ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation

Item recommendation based on historical user-item interactions is of vit...

0 Yule Wang, et al. ∙

∙ 05/20/2021

Probabilistic and Variational Recommendation Denoising

Learning from implicit feedback is one of the most common cases in the a...

0 Yu Wang, et al. ∙

∙ 05/10/2021

AutoDebias: Learning to Debias for Recommendation

Recommender systems rely on user behavior data like ratings and clicks t...

0 Jiawei Chen, et al. ∙

∙ 03/05/2021

Graph Convolutional Embeddings for Recommender Systems

Modern recommender systems (RS) work by processing a number of signals t...

10 Paula Gómez Duran, et al. ∙

∙ 06/10/2020

Self-Supervised Reinforcement Learning forRecommender Systems

In session-based or sequential recommendation, it is important to consid...

70 Xin Xin, et al. ∙

∙ 06/10/2020

Self-Supervised Reinforcement Learning for Recommender Systems

In session-based or sequential recommendation, it is important to consid...

30 Xin Xin, et al. ∙

∙ 04/09/2020

Graph Highway Networks

Graph Convolution Networks (GCN) are widely used in learning graph repre...

5 Xin Xin, et al. ∙

∙ 02/16/2020

Generalized Embedding Machines for Recommender Systems

Factorization machine (FM) is an effective model for feature-based recom...

17 Enneng Yang, et al. ∙

∙ 04/29/2019

Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation

Existing item-based collaborative filtering (ICF) methods leverage only ...

0 Xin Xin, et al. ∙

∙ 11/27/2017

Pulsar Candidate Identification with Artificial Intelligence Techniques

Discovering pulsars is a significant and meaningful research topic in th...

0 Ping Guo, et al. ∙