A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning. - Linjun Chen; Guangquan Lu; Guoqiu Wen; Jiaye Li 001; Malong Tan (SSCI, 2019)

Local Structure Preservation for Nonlinear Clustering. - Linjun Chen; Guangquan Lu; Yangding Li; Jiaye Li 001; Malong Tan (Neural Process. Lett., 2020)

Dependency Graph Convolution and POS Tagging Transferring for Aspect-Based Sentiment Classification. - Zexin Li; Linjun Chen; Tiancheng Huang; Jiagang Song (APWeb/WAIM (1), 2021)

Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering. - Guoqiu Wen; Yonghua Zhu; Linjun Chen; Mengmeng Zhan; Yangcai Xie (Comput. J., 2021)

One-step spectral rotation clustering for imbalanced high-dimensional data. - Guoqiu Wen; Xianxian Li; Yonghua Zhu; Linjun Chen; Qimin Luo; Malong Tan (Inf. Process. Manag., 2021)

Collaborative filtering recommendation using fusing criteria against shilling attacks. - Li Li; Zhongqun Wang; Chen Li; Linjun Chen; Yong Wang 008 (Connect. Sci., 2022)

Nonlinear Graph Learning-Convolutional Networks for Node Classification. - Linjun Chen; Xingyi Liu; Zexin Li (Neural Process. Lett., 2022)

One-step spectral rotation clustering with balanced constrains. - Guoqiu Wen; Yonghua Zhu; Linjun Chen; Shichao Zhang 001 (World Wide Web, 2022)

A novel two-way rebalancing strategy for identifying carbonylation sites. - Linjun Chen; Xiao-Yuan Jing; Yaru Hao; Wei Liu 200; Xiaoke Zhu; Wei Han (BMC Bioinform., 2023)

Prompt enhance API recommendation: visualize the user's real intention behind this query. - Yong Wang; Linjun Chen; Cuiyun Gao; Yingtao Fang; Yong Li (Autom. Softw. Eng., 2024)

API Recommendation for Novice Programmers: Build a Bridge of Query-Task Knowledge Gap. - Yong Wang 008; Yingtao Fang; Cuiyun Gao; Linjun Chen (IEEE Trans. Reliab., 2024)

Sample-pair learning network for extremely imbalanced classification. - Linjun Chen; Xiao-Yuan Jing; Runhang Chen; Fei Wu 004; Yongchang Ding; Changhui Hu 001; Ziyun Cai (Neurocomputing, 2025)

Metric information mining with metric attention to boost software defect prediction performance. - Yongchang Ding; Wei Han; Zhiqiang Li 003; Haowen Chen; Linjun Chen; Rong Peng; Xiao-Yuan Jing (Sci. Comput. Program., 2026)