Qingyang Liu

Orcid: 0000-0003-0491-3248

Affiliations:
  • Georg-August-Universität Göttingen, Institute of Informatics, School of Mathematics and Computer Science, Germany
  • University College London, Faculty of Physics and Astronomy, UK (2019-2020)
  • Northeastern University, School of Business Administration, Shenyang, China (2015-2018)


According to our database1, Qingyang Liu authored at least 18 papers between 2019 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multi-feature stock price prediction by LSTM networks based on VMD and TMFG.
J. Big Data, December, 2025

Nonlinear Parsimonious Models for IoT Consumer Electronics: Leveraging Normal Distribution Transformations in Information Filtering Networks.
IEEE Trans. Consumer Electron., November, 2025

Transferable Sequential Recommendation with Vanilla Cross-Entropy Loss.
CoRR, June, 2025

Public Opinion Evolution Based on the Two-Dimensional Theory of Emotion and Top2Vec-RoBERTa.
Symmetry, 2025

TiM4Rec: An efficient sequential recommendation model based on time-aware structured state space duality model.
Neurocomputing, 2025

A Novel Clustering-Forecast Method With Nonlinear <i>Logo</i> Information Filtering Networks.
Int. J. Intell. Syst., 2025

Impact of International Environmental Emergency on Stock Market Dynamics: A RoBERTa Model and Pearson Correlation Approach.
IEEE Access, 2025

MDCNN: Multi-Teacher Distillation-Based CNN for News Text Classification.
IEEE Access, 2025

2024
A novel combining method of dynamic and static web crawler with parallel computing.
Multim. Tools Appl., June, 2024

Voltage and Reactive Power-Optimization Model for Active Distribution Networks Based on Second-Order Cone Algorithm.
Comput., April, 2024

Enhanced stock price prediction with optimized ensemble modeling using multi-source heterogeneous data: Integrating LSTM attention mechanism and multidimensional gray model.
J. Ind. Inf. Integr., 2024

A Study of Futures Price Forecasting with a Focus on the Role of Different Economic Markets.
Inf., 2024

The Double-Layer Clustering Based on K-Line Pattern Recognition Based on Similarity Matching.
Inf., 2024

Nonlinear parsimonious modeling based on Copula-LoGo.
Expert Syst. Appl., 2024

2023
Forecast stock price based on GRA-LoGo model of information filtering networks.
J. Intell. Fuzzy Syst., December, 2023

Soybean futures price prediction with dual-stage attention-based long short-term memory: a decomposition and extension approach.
J. Intell. Fuzzy Syst., December, 2023

A Hybrid Approach for Predicting Corporate Financial Risk: Integrating SMOTE-ENN and NGBoost.
IEEE Access, 2023

2019
Combined Method of Artificial Intelligence Regression Forecasting Models Under Fluctuating Errors.
Int. J. Artif. Intell. Tools, 2019


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