Hyperspectral image classification based on adaptive-weighted LLE and clustering-based FSVMs. - Haimiao Ge; Liguo Wang 001; Yanzhong Liu; Cheng Li; Ruixin Chen (IET Image Process., 2018)

Taming the Wildcards: Towards Dependency-free Rule Caching with FreeCache. - Rui Li; Bohan Zhao; Ruixin Chen; Jin Zhao 001 (IWQoS, 2020)

A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods. - Tian Qiu 005; Haigen Hu; Ruixin Chen; Qianwei Zhou; Qiu Guan; Xiaoxin Li (Appl. Soft Comput., 2021)

DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network. - Cheng Chen; Han Shi; Zhiwen Jiang; Adil Salhi; Ruixin Chen; Xuefeng Cui; Bin Yu 007 (Comput. Biol. Medicine, 2021)

Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis. - Xue Wang; Yaqun Zhang; Bin Yu 007; Adil Salhi; Ruixin Chen; Lin Wang; Zengfeng Liu (Comput. Biol. Medicine, 2021)

Scalable and Flexible Traffic Steering for Service Function Chains. - Ruixin Chen; Jin Zhao 001 (IEEE Trans. Netw. Serv. Manag., 2022)

NFCache: Fine-grained and Flexible Offloading of Network Functions to Programmable Switches. - Ruixin Chen; Xinpeng Shan; Jin Zhao 001 (ICPP Workshops, 2023)

MC-RGN: Residual Graph Neural Networks based on Markov Chain for sequential recommendation. - Ruixin Chen; Jianping Fan 005; Meiqin Wu 001 (Inf. Process. Manag., 2023)

Research Reviews, Hot Topics and Emerging Trends in the Field of Applied Research on VLEs for Undergraduate Teaching: An Analysis Based on Bibliometrics. - Xinru Zhao; Peng Zhu; Zhixiong Tang; Wanru Zhao; Ruixin Chen (ICEIT, 2024)

Towards Student Actions in Classroom Scenes: New Dataset and Baseline. - Zhuolin Tan; Chenqiang Gao; Anyong Qin; Ruixin Chen; Tiecheng Song; Feng Yang 015; Deyu Meng (CoRR, 2024)

ABNS: Association-based negative sampling for collaborative filtering. - Ruixin Chen; Jianping Fan 005; Mei-Qin Wu 001 (Expert Syst. Appl., 2024)

Mutual Information Reduction Techniques and its Applications in Feature Engineering. - Ruixin Chen; David Li 003 (ICCE, 2025)

Graph Contrast Learning Fused Question Features Based Knowledge Tracing. - Junyi Guo; Ruixin Chen; Zhun Zhang; Qiongxiong Ma (ICEIT, 2025)

A Review of Research, Hot Topics, and Emerging Trends in Learning Management Systems for Undergraduate Education: A Bibliometric Analysis. - Xinru Zhao; Zhixiong Tang; Wanru Zhao; Ruixin Chen; Long Liang (ICEIT, 2025)

Conditional diffusion model for recommender systems. - Ruixin Chen; Jianping Fan 005; Meiqin Wu 001; Sining Ma (Neural Networks, 2025)

G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model. - Ruixin Chen; Jianping Fan 005; Mei-Qin Wu 001; Rui Cheng 006; Jiawen Song (IEEE Trans. Neural Networks Learn. Syst., 2025)