Lasheng Yu

Orcid: 0000-0001-7078-9068

According to our database1, Lasheng Yu authored at least 15 papers between 2008 and 2024.

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

2024
Enhancing E-Learning Adaptability with Automated Learning Style Identification and Sentiment Analysis: A Hybrid Deep Learning Approach for Smart Education.
Inf., May, 2024

2022
Study on sentiment classification strategies based on the fuzzy logic with crow search algorithm.
Soft Comput., 2022

2021
Towards real-time object tracking with deep Siamese network and layerwise aggregation.
Signal Image Video Process., 2021

Variational autoencoder Bayesian matrix factorization (VABMF) for collaborative filtering.
Appl. Intell., 2021

2018
Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection.
IEEE Access, 2018

2015
Research on an Intelligent Liquid Lamp Inspector Based on Machine Vision.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

2013
An effective data collection algorithm for wireless sensor network.
Computing, 2013

2012
Information Decay in Building Predictive Models Using Temporal Data.
J. Softw., 2012

Research on task decomposition and state abstraction in reinforcement learning.
Artif. Intell. Rev., 2012

2011
A Multi-agent Reinforcement Learning with Weighted Experience Sharing.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011

A Two-Phase Trust and Reputation Based Multi-Agent System (MAS) e-Loan Negotiation System.
Proceedings of the Second International Conference on Digital Manufacturing and Automation, 2011

2008
Multi-Agent Automated Intelligent Shopping System (MAISS).
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Influence Graph based Task Decomposition and State Abstraction in Reinforcement Learning.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Studies on Hierarchical Reinforcement Learning in Multi-Agent Environment.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Nash Equilibrium: Better Strategy for Agents Coordination.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008


  Loading...