Ruixing Li

Orcid: 0000-0001-6775-5131

According to our database1, Ruixing Li authored at least 13 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards precision medicine in Tourette syndrome: a perspective on AI-driven predictive modelling and personalised care.
Frontiers Comput. Neurosci., 2026

2025
BuddyMoE: Exploiting Expert Redundancy to Accelerate Memory-Constrained Mixture-of-Experts Inference.
CoRR, November, 2025

Artificial intelligence in ADHD assessment: a comprehensive review of research progress from early screening to precise differential diagnosis.
Frontiers Artif. Intell., 2025

Espresso: Cost-Efficient Large Model Training by Exploiting GPU Heterogeneity in the Cloud.
Proceedings of the IEEE INFOCOM 2025, 2025

2022
Intelligent Intersection Vehicle and Pedestrian Detection Based on Convolutional Neural Network.
J. Sensors, 2022

2021
TS-PADM: Anomaly Detection Model of Wireless Sensors Based on Spatial-Temporal Feature Points.
Wirel. Commun. Mob. Comput., 2021

Data recovery in wireless sensor networks based on attribute correlation and extremely randomized trees.
J. Ambient Intell. Humaniz. Comput., 2021

HMM-LSTM for Proactive Traffic Prediction in 6G Wireless Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021

A Conflict Resolution Scheme in Intent-Driven Network.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2019
Data prediction model in wireless sensor networks based on bidirectional LSTM.
EURASIP J. Wirel. Commun. Netw., 2019

2018
Deep attention-guided fusion network for lesion segmentation.
CoRR, 2018

2016
A multi-granularity heuristic-combining approach for censorship circumvention activity identification.
Secur. Commun. Networks, 2016

2015
Web Service QoS Prediction Based on Adaptive Dynamic Programming Using Fuzzy Neural Networks for Cloud Services.
IEEE Access, 2015


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