Sparse Online Learning for Collaborative Filtering. - Fan Lin; Xiuze Zhou; Wenhua Zeng (Int. J. Comput. Commun. Control, 2016)

Rating LDA model for collaborative filtering. - Xiuze Zhou; Shunxiang Wu (Knowl. Based Syst., 2016)

The Biterm Author Topic in the Sentences Model for E-Mail Analysis. - Xiuze Zhou; Shunxiang Wu (IEICE Trans. Inf. Syst., 2017)

Confidence-weighted bias model for online collaborative filtering. - Xiuze Zhou; Weibo Shu; Fan Lin; Beizhan Wang (Appl. Soft Comput., 2018)

Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering. - Kangkang Li 001; Xiuze Zhou; Fan Lin; Wenhua Zeng; Gil Alterovitz (IEEE Access, 2019)

Sparse online collaborative filtering with dynamic regularization. - Kangkang Li 001; Xiuze Zhou; Fan Lin; Wenhua Zeng; Beizhan Wang; Gil Alterovitz (Inf. Sci., 2019)

DeepRank: Learning to rank with neural networks for recommendation. - Ming Chen; Xiuze Zhou (Knowl. Based Syst., 2020)

NeuRank: learning to rank with neural networks for drug-target interaction prediction. - Xiujin Wu; Wenhua Zeng; Fan Lin; Xiuze Zhou (BMC Bioinform., 2021)

CoNet: Co-occurrence neural networks for recommendation. - Ming Chen; Yunhao Li; Xiuze Zhou (Future Gener. Comput. Syst., 2021)

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries. - Daoquan Chen; Weicong Hong; Xiuze Zhou (IEEE Access, 2022)

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. - Wei Zhang 252; Yuanguo Lin; Yong Liu 020; Huanyu You; Pengcheng Wu; Fan Lin; Xiuze Zhou (Appl. Soft Comput., 2022)

CoCNN: Co-occurrence CNN for recommendation. - Ming Chen; Tianyi Ma; Xiuze Zhou (Expert Syst. Appl., 2022)

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)

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. - Yuanguo Lin; Wei Zhang 252; Fan Lin; Wenhua Zeng; Xiuze Zhou; Pengcheng Wu (Neural Comput. Appl., 2024)

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 (ACL (1), 2025)

Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. - Sisuo Lyu; Xiuze Zhou; Xuming Hu (ICASSP, 2025)

Deep Learning for Time Series Prediction of Strata Pressure in Coal Mining. - Xinyu Gu; Khay Wai See; Xiuze Zhou (IEEE Access, 2025)

Can LLMs Maintain Fundamental Abilities under KV Cache Compression? - Xiang Liu 001; Zhenheng Tang; Hong Chen; Peijie Dong; Zeyu Li; Xiuze Zhou; Bo Li 001; Xuming Hu; Xiaowen Chu 001 (CoRR, 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, 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, 2025)