Ruixin Chen

Orcid: 0000-0002-6484-1322

According to our database1, Ruixin Chen authored at least 16 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Conditional diffusion model for recommender systems.
Neural Networks, 2025

A Review of Research, Hot Topics, and Emerging Trends in Learning Management Systems for Undergraduate Education: A Bibliometric Analysis.
Proceedings of the 14th International Conference on Educational and Information Technology, 2025

Graph Contrast Learning Fused Question Features Based Knowledge Tracing.
Proceedings of the 14th International Conference on Educational and Information Technology, 2025

Mutual Information Reduction Techniques and its Applications in Feature Engineering.
Proceedings of the IEEE International Conference on Consumer Electronics, 2025

2024
ABNS: Association-based negative sampling for collaborative filtering.
Expert Syst. Appl., 2024

Towards Student Actions in Classroom Scenes: New Dataset and Baseline.
CoRR, 2024

Research Reviews, Hot Topics and Emerging Trends in the Field of Applied Research on VLEs for Undergraduate Teaching: An Analysis Based on Bibliometrics.
Proceedings of the 13th International Conference on Educational and Information Technology, 2024

2023
MC-RGN: Residual Graph Neural Networks based on Markov Chain for sequential recommendation.
Inf. Process. Manag., November, 2023

NFCache: Fine-grained and Flexible Offloading of Network Functions to Programmable Switches.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

2022
Scalable and Flexible Traffic Steering for Service Function Chains.
IEEE Trans. Netw. Serv. Manag., 2022

2021
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis.
Comput. Biol. Medicine, 2021

DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network.
Comput. Biol. Medicine, 2021

A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods.
Appl. Soft Comput., 2021

2020
Taming the Wildcards: Towards Dependency-free Rule Caching with FreeCache.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2018
Hyperspectral image classification based on adaptive-weighted LLE and clustering-based FSVMs.
IET Image Process., 2018


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