Construction and application of characteristic bands of typical land cover based on spectrum-photometric method. - Wenfang Lin; Quanfang Wang; Shuping Zha; Jiayong Li (Geoinformatics, 2010)

The application of the spatial overlay method in regional planning of agricultural function of Hubei Province. - Xin Yang; Junlin Zhu; Qian Wang; Wenfang Lin; Min Chen; Lili Jia; Muwen Zhu (Geoinformatics, 2010)

An Integrated Ensemble Learning Model for Imbalanced Fault Diagnostics and Prognostics. - Zhenyu Wu; Wenfang Lin; Yang Ji 001 (IEEE Access, 2018)

An Adaptive Oversampling Learning Method for Class-Imbalanced Fault Diagnostics and Prognostics. - Wenfang Lin; Zhenyu Wu; Yang Ji 001 (CoRR, 2018)

A Weighted Deep Representation Learning Model for Imbalanced Fault Diagnosis in Cyber-Physical Systems. - Zhenyu Wu; Yang Guo; Wenfang Lin; Shuyang Yu; Yang Ji 001 (Sensors, 2018)

DKEN: Deep knowledge-enhanced network for recommender systems. - Xiaobo Guo; Wenfang Lin; Youru Li; Zhongyi Liu; Lin Yang; Shuliang Zhao; Zhenfeng Zhu (Inf. Sci., 2020)

A Local Adaptive Minority Selection and Oversampling Method for Class-Imbalanced Fault Diagnostics in Industrial Systems. - Zhenyu Wu; Wenfang Lin; Binghao Fu; Juchuan Guo; Yang Ji 001; Michael G. Pecht (IEEE Trans. Reliab., 2020)

Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. - Xuewen Tao; Mingming Ha; Qiongxu Ma; Hongwei Cheng; Wenfang Lin; Xiaobo Guo; Linxun Chen; Bing Han 017 (RecSys, 2023)

Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. - Xuewen Tao; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Hongwei Cheng; Wenfang Lin (CoRR, 2023)

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. - Youru Li; Xiaobo Guo; Wenfang Lin; Mingjie Zhong; Qunwei Li; Zhongyi Liu; Wenliang Zhong; Zhenfeng Zhu (IEEE Trans. Knowl. Data Eng., 2023)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Taoxuewen; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (NeurIPS, 2024)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Xuewen Tao; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (CoRR, 2024)

SLMRec: Empowering Small Language Models for Sequential Recommendation. - Wujiang Xu; Zujie Liang; Jiaojiao Han; Xuying Ning; Wenfang Lin; Linxun Chen; Feng Wei; Yongfeng Zhang (CoRR, 2024)

Coevolution Analysis of the Sustainable Development Systems of Energy Firms From a Strategic Philanthropy Perspective. - Jintao Lu; Wenfang Lin; Marina Dabic (IEEE Trans. Engineering Management, 2024)

"Chasing Grade" or "Driving Innovation"? Social Responsibility Grades of Heavily Polluting Enterprises and Exploratory Innovation. - Jintao Lu; Mengshang Liang; Marina Dabic; Wenfang Lin (IEEE Trans. Engineering Management, 2024)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation. - Wujiang Xu; Qitian Wu; Zujie Liang; Jiaojiao Han; Xuying Ning; Yunxiao Shi; Wenfang Lin; Yongfeng Zhang (ICLR, 2025)