Xiuze Zhou

According to our database, Xiuze Zhou authored at least 20 papers between 2016 and 2025.

Collaborative distances:

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

2025

A Survey on Data Security in Large Language Models.

Kang Chen, Xiuze Zhou, Yuanguo Lin, Jinhe Su, Yuanhui Yu, Li Shen, Fan Lin

CoRR, August, 2025

A Survey on Privacy Risks and Protection in Large Language Models.

Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu

CoRR, May, 2025

Can LLMs Maintain Fundamental Abilities under KV Cache Compression?

Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu

CoRR, February, 2025

Deep Learning for Time Series Prediction of Strata Pressure in Coal Mining.

Xinyu Gu, Khay Wai See, Xiuze Zhou

IEEE Access, 2025

Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation.

Sisuo Lyu, Xiuze Zhou, Xuming Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis.

Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.

Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu

Neural Comput. Appl., 2024

2023

Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction.

Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, Dongming Han

CoRR, 2023

2022

CoCNN: Co-occurrence CNN for recommendation.

Ming Chen, Tianyi Ma, Xiuze Zhou

Expert Syst. Appl., 2022

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.

Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou

Appl. Soft Comput., 2022

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries.

Daoquan Chen, Weicong Hong, Xiuze Zhou

IEEE Access, 2022

2021

CoNet: Co-occurrence neural networks for recommendation.

Ming Chen, Yunhao Li, Xiuze Zhou

Future Gener. Comput. Syst., 2021

NeuRank: learning to rank with neural networks for drug-target interaction prediction.

Xiujin Wu, Wenhua Zeng, Fan Lin, Xiuze Zhou

BMC Bioinform., 2021

2020

DeepRank: Learning to rank with neural networks for recommendation.

Ming Chen, Xiuze Zhou

Knowl. Based Syst., 2020

2019

Sparse online collaborative filtering with dynamic regularization.

Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Beizhan Wang, Gil Alterovitz

Inf. Sci., 2019

Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering.

Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Gil Alterovitz

IEEE Access, 2019

2018

Confidence-weighted bias model for online collaborative filtering.

Xiuze Zhou, Weibo Shu, Fan Lin, Beizhan Wang

Appl. Soft Comput., 2018

2017

The Biterm Author Topic in the Sentences Model for E-Mail Analysis.

Xiuze Zhou, Shunxiang Wu

IEICE Trans. Inf. Syst., 2017

2016

Rating LDA model for collaborative filtering.

Xiuze Zhou, Shunxiang Wu

Knowl. Based Syst., 2016

Sparse Online Learning for Collaborative Filtering.

Fan Lin, Xiuze Zhou, Wenhua Zeng

Int. J. Comput. Commun. Control, 2016