Xin Zhou

According to our database, Xin Zhou authored at least 48 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Estimating package arrival time via heterogeneous hypergraph neural network.

Lei Zhang, Xingyu Wu, Yong Liu, Xin Zhou, Yiming Cao, Yonghui Xu, Lizhen Cui, Chunyan Miao

Expert Syst. Appl., March, 2024

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability.

Xin Zhou, Chunyan Miao

IEEE Trans. Multim., 2024

Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation.

Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Zhiqi Shen

CoRR, 2024

The Crowd in MOOCs: A Study of Learning Patterns at Scale.

Xin Zhou, Aixin Sun, Jie Zhang, Donghui Lin

CoRR, 2024

Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification.

Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen

CoRR, 2024

Personalized Federated Knowledge Graph Embedding with Client-Wise Relation Graph.

Xiaoxiong Zhang, Zhiwei Zeng, Xin Zhou, Dusit Niyato, Zhiqi Shen

CoRR, 2024

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.

Honglei Zhang, Haoxuan Li, Jundong Chen, Sen Cui, Kunda Yan, Abudukelimu Wuerkaixi, Xin Zhou, Zhiqi Shen, Yidong Li

CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.

Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

GreenRec: A Large-Scale Dataset for Green Food Recommendation.

Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Multi-modal Food Recommendation Using Clustering and Self-supervised Learning.

Yixin Zhang, Xin Zhou, Qianwen Meng, Fanglin Zhu, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation.

Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-modal Food Recommendation with Health-aware Knowledge Distillation.

Yixin Zhang, Xin Zhou, Fanglin Zhu, Ning Liu, Wei Guo, Yonghui Xu, Zhiqi Shen, Lizhen Cui

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search.

Haochen Li, Xin Zhou, Zhiqi Shen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation.

Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SelfCF: A Simple Framework for Self-supervised Collaborative Filtering.

Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao

Trans. Recomm. Syst., June, 2023

M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects.

Qidong Liu, Enguang Yao, Chaoyue Liu, Xin Zhou, Yafei Li, Mingliang Xu

Appl. Intell., March, 2023

A Semi-Centralized Trust Management Model Based on Blockchain for Data Exchange in IoT System.

Yuan Liu, Chuang Zhang, Yu Yan, Xin Zhou, Zhihong Tian, Jie Zhang

IEEE Trans. Serv. Comput., 2023

Multi-Modality Image Fusion and Object Detection Based on Semantic Information.

Yong Liu, Xin Zhou, Wei Zhong

Entropy, 2023

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning.

Lingzi Zhang, Xin Zhou, Zhiqi Shen

CoRR, 2023

A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions.

Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, Zhiqi Shen

CoRR, 2023

Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation.

Hongyu Zhou, Xin Zhou, Zhiqi Shen

CoRR, 2023

Bootstrap Latent Representations for Multi-modal Recommendation.

Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang

Proceedings of the ACM Web Conference 2023, 2023

Inductive Graph Transformer for Delivery Time Estimation.

Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

MMRec: Simplifying Multimodal Recommendation.

Xin Zhou

Proceedings of the ACM Multimedia Asia Workshops, 2023

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation.

Xin Zhou, Zhiqi Shen

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Layer-refined Graph Convolutional Networks for Recommendation.

Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.

Lei Zhang, Xin Zhou, Zhiwei Zeng, Yiming Cao, Yonghui Xu, Mingliang Wang, Xingyu Wu, Yong Liu, Lizhen Cui, Zhiqi Shen

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Rethinking Negative Pairs in Code Search.

Haochen Li, Xin Zhou, Anh Tuan Luu, Chunyan Miao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation.

Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation.

Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen

Proceedings of the Database Systems for Advanced Applications, 2023

Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation.

Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation.

Xin Zhou

CoRR, 2022

Bribery in Rating Systems: A Game-Theoretic Perspective.

Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback.

Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang

Proceedings of the Database Systems for Advanced Applications, 2022

2021

3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce.

Yuan Liu, Xin Zhou, Han Yu

Knowl. Based Syst., 2021

Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing.

Shiyao Ding, Donghui Lin, Xin Zhou

Proceedings of the IEEE International Conference on Agents, 2021

2020

Learning Network Representations With Different Order Structural Information.

Qi-dong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu

IEEE Trans. Comput. Soc. Syst., 2020

ARM: Toward Adaptive and Robust Model for Reputation Aggregation.

Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang

IEEE Trans Autom. Sci. Eng., 2020

A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract).

Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Bribery in Rating System: A Game-Theoretic Perspective.

Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu, Gang Huang

CoRR, 2019

Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort.

Fubing Mao, Xin Zhou, Ying Song

IEEE Access, 2019

2018

LogPruner: detect, analyze and prune logging calls in Android apps.

Xin Zhou, Kaidong Wu, Huaqian Cai, Shuai Lou, Ying Zhang, Gang Huang

Sci. China Inf. Sci., 2018

2017

LogPruner: A Tool for Pruning Logging Call in Android Apps.

Huaqian Cai, Xin Zhou, Shuai Lou, Ying Zhang, Gang Huang

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

2016

Robust Reputation System for Web Services.

Xin Zhou

PhD thesis, 2016

Evaluating Reputation of Web Services under Rating Scarcity.

Xin Zhou, Donghui Lin, Toru Ishida

Proceedings of the IEEE International Conference on Services Computing, 2016

2015

Towards Robust Reputation System Based on Clustering Approach.

Xin Zhou, Shigeo Matsubara

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

Dynamic Sliding Window Model for Service Reputation.

Xin Zhou, Toru Ishida, Yohei Murakami

Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2013

Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots.

Xin Zhou, David Kinny

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2013