- Haochen Li, Xin Zhou, Zhiqi Shen. Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search. arXiv, 2024.
- Lingzi Zhang, Xin Zhou, Zhiqi Shen. Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning. arXiv, 2023.
- Hongyu Zhou, Xin Zhou, Zhiwei Zeng, Lingzi Zhang, Zhiqi Shen. A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions. arXiv, 2023. [Code&Datasets]
2024
- Honglei Zhang, Xin Zhou, Zhiqi Shen, Yidong Li. PrivFR: Privacy-Enhanced Federated Recommendation with Shared Hash Embedding. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). In press.
- Lingzi Zhang, Yinan Zhang, Xin Zhou, Zhiqi Shen. GreenRec: A Large-Scale Dataset for Green Food Recommendation. The ACM Web Conference 2024 [WWW]. Singapore, Singapore, May 13 - 17, 2024.
- Xin Zhou, Chunyan Miao. Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability. IEEE Transactions on Multimedia. (2024).
- Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen. Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation. The 40th IEEE International Conference on Data Engineering [ICDE]. Utrecht, Netherlands, May 13 - 16, 2024.
- Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen. Dual-view Whitening on Pre-trained Text Embeddings for Sequential Recommendation . The 38th Annual AAAI Conference on Artificial Intelligence [AAAI]. Vancouver, Canada, February 20 - 27, 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 Systems With Applications (ESWA). 238(Part B): 121740 (2024).
2023
- Conferences
- Haochen Li, Xin Zhou, Anh Tuan Luu, Chunyan Miao. Rethinking Negative Pairs in Code Search. The 2023 Conference on Empirical Methods in Natural Language Processing [EMNLP]. pp. 12760-12774, Singapore, Singapore, December 6 - 10, 2023. [Code&Datasets]
- Xin Zhou, Zhiqi Shen. A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation. The 31st ACM International Conference on Multimedia [ACM Multimedia (MM)]. pp. 935-943, Ottawa, Canada, October 29 - November 3, 2023. [Code&Datasets] | [Poster]
- Jiazheng Jing, Yinan Zhang, Xin Zhou, Zhiqi Shen. Capturing Popularity Trends: A Simplistic Non-Personalized Approach for Enhanced Item Recommendation. The 32nd ACM International Conference on Information and Knowledge Management [CIKM]. pp. 1014-1024, Birmingham, UK, October 21 - 25, 2023. [Code&Datasets]
- Hongyu Zhou, Xin Zhou, Lingzi Zhang, Zhiqi Shen. Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation. European Conference on Artificial Intelligence [ECAI]. pp. 3123-3130, Kraków, Poland, September 30 - October 4, 2023. [Code&Datasets]
- Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You, Feijun Jiang. Bootstrap Latent Representations for Multi-modal Recommendation. The ACM Web Conference 2023 [WWW]. pp. 845-854, Austin, Texas, USA, April 30 - May 4, 2023. [Code&Datasets]
- 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. The 28th International Conference on Database Systems for Advanced Applications [DASFAA]. pp. 606-618, Tianjin, China, April 17 - 20, 2023.
- Xin Zhou, Donghui Lin, Yong Liu, Chunyan Miao. Layer-refined Graph Convolutional Networks for Recommendation. The 39th IEEE International Conference on Data Engineering [ICDE]. pp. 1247-1259, Anaheim, California, USA, April 3 - 7, 2023. [Code&Datasets]
- 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. The 39th IEEE International Conference on Data Engineering [ICDE]. pp. 3403-3416, Anaheim, California, USA, April 3 - 7, 2023.
- Xin Zhou, Jinglong Wang, Yong Liu, Xingyu Wu, Zhiqi Shen, Cyril Leung. Inductive Graph Transformer for Delivery Time Estimation. The 16th ACM International Conference on Web Search and Data Mining [WSDM]. pp. 679-687, Singapore, Singapore, February 27 - March 3, 2023. [Code&Datasets]
- Journals
- Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao. SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. ACM Transactions on Recommender Systems (TORS). 1(2): 1-25 (2023). [Code&Datasets]
- 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 Transactions on Services Computing (TSC). 16(2): 858-871 (2023).
- Qidong Liu, Enguang Yao, Chaoyue Liu, Xin Zhou, Yafei Li, Mingliang Xu. M2GCN: Multi-Modal Graph Convolutional Network for Modeling Polypharmacy Side Effects. Applied Intelligence. 53(6): 6814-6825 (2023).
2022 & Before
- Xin Zhou, Shigeo Matsubara, Qidong Liu, Yuan Liu. Bribery in Rating Systems: A Game-Theoretic Perspective. The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining [PAKDD]. pp. 67-78, Chengdu, China, May 16 - 19, 2022.
- Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang. Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. The 27th International Conference on Database Systems for Advanced Applications [DASFAA]. pp. 232-247, Hyderabad, India, April 11 - 14, 2022. [Code&Datasets]
- Yuan Liu, Xin Zhou*, Han Yu. 3R Model: A Post-Purchase Context-Aware Reputation Model to Mitigate Unfair Ratings in E-Commerce. Knowledge-Based Systems. 231: 107441 (2021).
- Shiyao Ding, Donghui Lin, Xin Zhou. Graph Convolutional Reinforcement Learning for Dependent Task Allocation in Edge Computing. The 5th IEEE International Conference on Agents [ICA]. pp. 25-30, Online, Japan, December 13 - 15, 2021. (Best Student Paper Award)
- Xin Zhou, Yohei Murakami, Toru Ishida, Xuanzhe Liu, Gang Huang. ARM: Toward Adaptive and Robust Model for Reputation Aggregation. IEEE Transactions on Automation Science and Engineering (T-ASE). 17(1): 88-99 (2020).
- Qidong Liu, Xin Zhou, Cheng Long, Jie Zhang, Mingliang Xu. Learning Network Representations With Different Order Structural Information. IEEE Transactions on Computational Social Systems (TCSS). 7(4): 907-914 (2020).
- Shuangfeng Zhang, Yuan Liu, Xingren Chen, Xin Zhou. A POMDP-based Method for Analyzing Blockchain System Security Against Long Delay Attack: (Extended Abstract). The 19th International Conference on Autonomous Agents and MultiAgent Systems [AAMAS]. pp. 2074-2076, Auckland, New Zealand, May 9 - 13, 2020.
- 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).
- Xin Zhou, Kaidong Wu, Huaqian Cai, Shuai Lou, Ying Zhang, Gang Huang. LogPruner: detect, analyze and prune logging calls in Android apps. Science China Information Sciences (SCIS). 61(5): 050107:1-050107:3 (2018).
- Huaqian Cai, Xin Zhou, Shuai Lou, Ying Zhang, Gang Huang. LogPruner: A Tool for Pruning Logging Call in Android Apps. The 9th Asia-Pacific Symposium on Internetware [Internetware]. pp. 1-10, Shanghai, China, September 23 - 23, 2017.
- Xin Zhou, Donghui Lin, Toru Ishida. Evaluating Reputation of Web Services under Rating Scarcity. The 13th IEEE International Conference on Services Computing [SCC]. pp. 211-218, San Francisco, CA, USA, June 27 - July 2, 2016.
- Xin Zhou, Toru Ishida, Yohei Murakami. Dynamic Sliding Window Model for Service Reputation. The 12nd IEEE International Conference on Services Computing [SCC]. pp. 25-32, New York City, NY, USA, June 27 - July 2, 2015.
- Xin Zhou, Shigeo Matsubara. Towards Robust Reputation System Based on Clustering Approach. The 12nd IEEE International Conference on Services Computing [SCC]. pp. 33-40, New York City, NY, USA, June 27 - July 2, 2015.
- Xin Zhou, David Kinny. Energy-Based Particle Swarm Optimization: Collective Energy Homeostasis in Social Autonomous Robots. IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) [WI-IAT]. pp. 31-37, Atlanta, Georgia, USA, November 17 - 20, 2013.
- Daoyong Liu, Xin Zhou, Alei Liang, Haibin Guan. A Swarm Intelligence based Algorithm for Distribute Search and Collective Cleanup. IEEE International Conference on Intelligent Computing and Intelligent Systems. pp. 161-165, Xiamen, China, October 29 - 31, 2010.
* Corresponding Author.
- 周鑫，朱潜，孔令和， 戚正伟，薛广涛，"无线传感器网络的动态更新方法", ZL201010516872.5, Date of Grant: 2014-03-12