Xiuze Zhou - RankMe

28 papers A* 1Misc 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evolutionary reinforcement learning for explainable recommendation on knowledge graph. Appl. Soft Comput. Yuanguo Lin, Hong Chen, Xiuze Zhou, Wei Zhang, Huanyu You, Fan Lin, Pengcheng Wu
2026	J	`jnl`	MAGNet: Bridging global graph context with customized tail-biased sampling for recommendation. Neurocomputing Kangkang Li, Rongxuan Wei, Xiuze Zhou, Jiaming Lan, Yu Luo
2025	J	`jnl`	A Survey on Data Security in Large Language Models. CoRR Kang Chen, Xiuze Zhou, Yuanguo Lin, Jinhe Su, Yuanhui Yu, Li Shen, Fan Lin
2025	J	`jnl`	A Survey on Privacy Risks and Protection in Large Language Models. CoRR Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025	J	`jnl`	A survey on privacy risks and protection in large language models. J. King Saud Univ. Comput. Inf. Sci. Kang Chen, Xiuze Zhou, Yuanguo Lin, Shibo Feng, Li Shen, Pengcheng Wu
2025	J	`jnl`	Can LLMs Maintain Fundamental Abilities under KV Cache Compression? CoRR Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu
2025	—	`conf`	Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. ACL (1) Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis. CoRR Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu, Xuming Hu
2025	J	`jnl`	Deep Learning for Time Series Prediction of Strata Pressure in Coal Mining. IEEE Access Xinyu Gu, Khay Wai See, Xiuze Zhou
2025	A*	`conf`	Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation. EMNLP Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu
2025	J	`jnl`	Dynamic Expert Specialization: Towards Catastrophic Forgetting-Free Multi-Domain MoE Adaptation. CoRR Junzhuo Li, Bo Wang, Xiuze Zhou, Xuming Hu
2025	J	`jnl`	Layer-wise contrastive learning BERT for sentence representation of GitHub. Neurocomputing Daoquan Chen, Wei Zhang, Shengyu Lu, Yuanguo Lin, Xinyu Gu, Xiuze Zhou
2025	Misc	`conf`	Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. ICASSP Sisuo Lyu, Xiuze Zhou, Xuming Hu
2024	J	`jnl`	Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. Yuanguo Lin, Wei Zhang, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu
2024	J	`jnl`	Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. CoRR Sisuo Lyu, Xiuze Zhou, Xuming Hu
2023	J	`jnl`	Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction. CoRR Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, Dongming Han
2022	J	`jnl`	CoCNN: Co-occurrence CNN for recommendation. Expert Syst. Appl. Ming Chen, Tianyi Ma, Xiuze Zhou
2022	J	`jnl`	Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou
2022	J	`jnl`	Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries. IEEE Access Daoquan Chen, Weicong Hong, Xiuze Zhou
2021	J	`jnl`	CoNet: Co-occurrence neural networks for recommendation. Future Gener. Comput. Syst. Ming Chen, Yunhao Li, Xiuze Zhou
2021	J	`jnl`	NeuRank: learning to rank with neural networks for drug-target interaction prediction. BMC Bioinform. Xiujin Wu, Wenhua Zeng, Fan Lin, Xiuze Zhou
2020	J	`jnl`	DeepRank: Learning to rank with neural networks for recommendation. Knowl. Based Syst. Ming Chen, Xiuze Zhou
2019	J	`jnl`	Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering. IEEE Access Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Gil Alterovitz
2019	J	`jnl`	Sparse online collaborative filtering with dynamic regularization. Inf. Sci. Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Beizhan Wang, Gil Alterovitz
2018	J	`jnl`	Confidence-weighted bias model for online collaborative filtering. Appl. Soft Comput. Xiuze Zhou, Weibo Shu, Fan Lin, Beizhan Wang
2017	J	`jnl`	The Biterm Author Topic in the Sentences Model for E-Mail Analysis. IEICE Trans. Inf. Syst. Xiuze Zhou, Shunxiang Wu
2016	J	`jnl`	Rating LDA model for collaborative filtering. Knowl. Based Syst. Xiuze Zhou, Shunxiang Wu
2016	J	`jnl`	Sparse Online Learning for Collaborative Filtering. Int. J. Comput. Commun. Control Fan Lin, Xiuze Zhou, Wenhua Zeng