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

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

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

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

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

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

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

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

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

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

Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Xu, Wujiang; Ning, Xuying; Lin, Wenfang; Ha, Mingming; Ma, Qiongxu; Liang, Qianqiao; Tao, Xuewen; Chen, Linxun; Han, Bing; Luo, Minnan (CoRR, 2023)

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

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

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

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

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

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

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