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ORCIDXin Zhou 0008
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation (PhD 2016): Kyoto University, Department of Social Informatics, Kyoto, Japan
Other persons with the same name
- Xin Zhou — disambiguation page
- Xin Zhou 0001
![[0000-0002-1496-405X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1496-405X")
— Northwestern Polytechnical University, School of Automation, Xi'an, China - Xin Zhou 0002 — Geneva University Hospitals and University of Geneva, Switzerland
- Xin Zhou 0003 — Nanyang Technological University, School of Computer Science and Engineering, Cloud Computing and Application Platform (CAP) Group, Singapore (and 1 more)
- Xin Zhou 0004 — Chinese Academy of Sciences, Wuhan Institute of Physics and Mathematics, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan, China
- Xin Zhou 0005 — National University of Defense Technology, College of Systems Engineering, Changsha, China
- Xin Zhou 0006 — Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan, China
- Xin Zhou 0007 — Zhejiang University, College of Information Science and Electronic Engineering, Hangzhou, China
- Xin Zhou 0009 — Fudan University, School of Computer Science, Shanghai, China
- Xin Zhou 0010 — University of Rhode Island, Department of Electrical, Computer, and Biomedical Engineering, Kingston, RI, USA
- Xin Zhou 0011 — China University of Mining & Technology, School of Mechatronic Engineering, Xuzhou, China
- Xin Zhou 0012 — Fudan University, School of Computer Science, Shanghai, China
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Books and Theses
- 2016
[b1]Xin Zhou:
Robust Reputation System for Web Services. Kyoto University, Japan, 2016
Journal Articles
- 2024
- [j7]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): 121740 (2024) - 2023
- [j6]Qidong Liu, Enguang Yao, Chaoyue Liu, Xin Zhou, Yafei Li, Mingliang Xu:
M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects. Appl. Intell. 53(6): 6814-6825 (2023) - [j5]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. Trans. Recomm. Syst. 1(2): 1-25 (2023) - [j4]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): 858-871 (2023) - 2020
- [j3]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): 88-99 (2020) - 2019
- [j2]Fubing Mao, Xin Zhou, Ying Song:
Environmental and Human Data-Driven Model Based on Machine Learning for Prediction of Human Comfort. IEEE Access 7: 132909-132922 (2019) - 2018
- [j1]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): 050107:1-050107:3 (2018)
Conference and Workshop Papers
- 2024
- [c20]Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen:
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation. AAAI 2024: 9332-9340 - 2023
- [c19]Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen:
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. CIKM 2023: 1014-1024 - [c18]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. DASFAA (4) 2023: 606-618 - [c17]Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen:
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. ECAI 2023: 3123-3130 - [c16]Haochen Li, Xin Zhou, Anh Tuan Luu, Chunyan Miao:
Rethinking Negative Pairs in Code Search. EMNLP 2023: 12760-12774 - [c15]Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao:
Layer-refined Graph Convolutional Networks for Recommendation. ICDE 2023: 1247-1259 - [c14]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: 3403-3416 - [c13]Xin Zhou, Zhiqi Shen:
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. ACM Multimedia 2023: 935-943 - [c12]Xin Zhou:
MMRec: Simplifying Multimodal Recommendation. MMAsia (Workshops) 2023: 6:1-6:2 - [c11]Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung:
Inductive Graph Transformer for Delivery Time Estimation. WSDM 2023: 679-687 - [c10]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: 845-854 - 2022
- [c9]Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang:
Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. DASFAA (2) 2022: 232-247 - [c8]Xin Zhou, Shigeo Matsubara, Yuan Liu, Qidong Liu:
Bribery in Rating Systems: A Game-Theoretic Perspective. PAKDD (3) 2022: 67-78 - 2021
- [c7]Shiyao Ding, Donghui Lin, Xin Zhou:
Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. ICA 2021: 25-30 - 2020
- [c6]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: 2074-2076 - 2017
- [c5]Huaqian Cai, Xin Zhou, Shuai Lou, Ying Zhang, Gang Huang:
LogPruner: A Tool for Pruning Logging Call in Android Apps. Internetware 2017: 2:1-2:10 - 2016
- [c4]Xin Zhou, Donghui Lin, Toru Ishida:
Evaluating Reputation of Web Services under Rating Scarcity. SCC 2016: 211-218 - 2015
- [c3]Xin Zhou, Toru Ishida, Yohei Murakami:
Dynamic Sliding Window Model for Service Reputation. SCC 2015: 25-32 - [c2]Xin Zhou, Shigeo Matsubara:
Towards Robust Reputation System Based on Clustering Approach. SCC 2015: 33-40 - 2013
- [c1]Xin Zhou, David Kinny:
Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots. IAT 2013: 31-37
Informal and Other Publications
- 2024
- [i16]Haochen Li, Xin Zhou, Zhiqi Shen:
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search. CoRR abs/2401.04514 (2024) - [i15]Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen:
Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. CoRR abs/2402.10602 (2024) - [i14]Xin Zhou, Chunyan Miao:
Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability. CoRR abs/2402.16110 (2024) - 2023
- [i13]Hongyu Zhou, Xin Zhou, Zhiqi Shen:
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. CoRR abs/2301.12097 (2023) - [i12]Xin Zhou:
MMRec: Simplifying Multimodal Recommendation. CoRR abs/2302.03497 (2023) - [i11]Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, Zhiqi Shen:
A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. CoRR abs/2302.04473 (2023) - [i10]Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen:
Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation. CoRR abs/2302.07429 (2023) - [i9]Lingzi Zhang, Xin Zhou, Zhiqi Shen:
Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning. CoRR abs/2303.11879 (2023) - [i8]Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen:
Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. CoRR abs/2308.08799 (2023) - [i7]Haochen Li, Xin Zhou, Luu Anh Tuan, Chunyan Miao:
Rethinking Negative Pairs in Code Search. CoRR abs/2310.08069 (2023) - 2022
- [i6]Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang:
Bootstrap Latent Representations for Multi-modal Recommendation. CoRR abs/2207.05969 (2022) - [i5]Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao:
Layer-refined Graph Convolutional Networks for Recommendation. CoRR abs/2207.11088 (2022) - [i4]Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung:
Inductive Graph Transformer for Delivery Time Estimation. CoRR abs/2211.02863 (2022) - [i3]Xin Zhou:
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. CoRR abs/2211.06924 (2022) - 2021
- [i2]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR abs/2107.03019 (2021) - 2019
- [i1]Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu, Gang Huang:
Bribery in Rating System: A Game-Theoretic Perspective. CoRR abs/1911.10014 (2019)
Coauthor Index
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