Shixuan Li

Orcid: 0000-0002-1879-4895

According to our database1, Shixuan Li authored at least 14 papers between 2019 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
CogniDot: Vasoactivity-based Cognitive Load Monitoring with a Miniature On-skin Sensor.
CoRR, 2024

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR, 2024

2023
Incorporating Multiple Textual Factors into Unbalanced Financial Distress Prediction: A Feature Selection Methods and Ensemble Classifiers Combined Approach.
Int. J. Comput. Intell. Syst., December, 2023

Neuro-Inspired Hierarchical Multimodal Learning.
CoRR, 2023

Early warning of corporate financial crisis based on sentiment analysis and AutoML.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022
Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19.
Inf. Process. Manag., 2022

A Unified Federated DNNs Framework for Heterogeneous Mobile Devices.
IEEE Internet Things J., 2022

A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data.
IEEE Internet Things J., 2022

Object pest detection method based on lightweight SSD_RA algorithm.
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022

2021
A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction.
Inf. Process. Manag., 2021

Personalized news recommendation based on an improved conditional restricted Boltzmann machine.
Electron. Libr., 2021

2020
A Framework for Predicting Network Security Situation Based on the Improved LSTM.
EAI Endorsed Trans. Collab. Comput., 2020

2019
Exploring repost features of police-generated microblogs through topic and sentiment analysis.
Electron. Libr., 2019

A LSTM-Based Method for Comprehension and Evaluation of Network Security Situation.
Proceedings of the 18th IEEE International Conference On Trust, 2019


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