Xin Zhou

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Collaborative Filtering

Quantile Regression

Extended Abstract

Top Venues

Publications

Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph. CoRR (2024)
Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen
Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification. CoRR (2024)
Xin Zhou, Chunyan Miao
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability. IEEE Trans. Multim. 26 (2024)
Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation. CoRR (2024)
Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen
GreenRec: A Large-Scale Dataset for Green Food Recommendation. WWW (Companion Volume) (2024)
Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. ICDE (2024)
Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. AAAI (2024)
Xin Zhou, Chunyan Miao
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability. CoRR (2024)
Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. CoRR (2024)
Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao
Estimating package arrival time via heterogeneous hypergraph neural network. Expert Syst. Appl. 238 (Part B) (2024)
Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui
Multi-modal Food Recommendation using Clustering and Self-supervised Learning. CoRR (2024)
Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang
Bootstrap Latent Representations for Multi-modal Recommendation. WWW (2023)
Xin Zhou, Zhiqi Shen
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. ACM Multimedia (2023)
Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. ECAI (2023)
Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1 (2) (2023)
Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen
Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression. ICDE (2023)
Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao
Layer-refined Graph Convolutional Networks for Recommendation. ICDE (2023)
Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. CIKM (2023)
Yuan Liu, Chuang Zhang, Yu Yan, Xin Zhou, Zhihong Tian, Jie Zhang
A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System. IEEE Trans. Serv. Comput. 16 (2) (2023)
Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu
Bribery in Rating Systems: A Game-Theoretic Perspective. PAKDD (3) (2022)
Shiyao Ding, Donghui Lin, Xin Zhou
Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. ICA (2021)
Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang
ARM: Toward Adaptive and Robust Model for Reputation Aggregation. IEEE Trans Autom. Sci. Eng. 17 (1) (2020)
Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou
A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). AAMAS (2020)
Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu, Gang Huang
Bribery in Rating System: A Game-Theoretic Perspective. CoRR (2019)
Fubing Mao, Xin Zhou, Ying Song
Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort. IEEE Access 7 (2019)
Xin Zhou, Kaidong Wu, Huaqian Cai, Shuai Lou, Ying Zhang, Gang Huang
LogPruner: detect, analyze and prune logging calls in Android apps. Sci. China Inf. Sci. 61 (5) (2018)
Huaqian Cai, Xin Zhou, Shuai Lou, Ying Zhang, Gang Huang
LogPruner: A Tool for Pruning Logging Call in Android Apps. Internetware (2017)
Xin Zhou, Donghui Lin, Toru Ishida
Evaluating Reputation of Web Services under Rating Scarcity. SCC (2016)
Xin Zhou, Toru Ishida, Yohei Murakami
Dynamic Sliding Window Model for Service Reputation. SCC (2015)
Xin Zhou, Shigeo Matsubara
Towards Robust Reputation System Based on Clustering Approach. SCC (2015)
Xin Zhou, David Kinny
Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots. IAT (2013)