Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems. - Aditya Desai; Yanzhou Pan; Kuangyuan Sun; Li Chou; Anshumali Shrivastava (CoRR, 2021)

A Fast Semi-Supervised Clustering Framework for Large-Scale Time Series Data. - Guoliang He; Yanzhou Pan; Xuewen Xia; Jinrong He; Rong Peng; Neal N. Xiong (IEEE Trans. Syst. Man Cybern. Syst., 2021)

An incremental approach to feature selection using the weighted dominance-based neighborhood rough sets. - Yanzhou Pan; Weihua Xu 003; Qinwen Ran (Int. J. Mach. Learn. Cybern., 2023)

A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets. - Weihua Xu 003; Yanzhou Pan; Xiuwei Chen; Weiping Ding 001; Yuhua Qian (IEEE Trans. Big Data, 2023)

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. - Yanzhou Pan; Huawei Lin 001; Yide Ran; Jiamin Chen; Xiaodong Yu; Weijie Zhao 001; Denghui Zhang; Zhaozhuo Xu (NAACL (Long Papers), 2025)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity. - Yide Ran; Wentao Guo; Jingwei Sun 002; Yanzhou Pan; Xiaodong Yu; Hao Wang; Jianwen Xie; Yiran Chen 001; Denghui Zhang; Zhaozhuo Xu (CoRR, 2025)