Yueqing Zhang

Orcid: 0000-0003-2304-6151

According to our database1, Yueqing Zhang authored at least 14 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
MBERA: Multi-Branch Evolutionary Retrosynthesis Algorithm.
Swarm Evol. Comput., 2026

Enhancing Diversity of Template-Free Retrosynthesis Prediction via Hierarchical Latent Variables.
J. Chem. Inf. Model., 2026

A real-time image super-resolution model based on U-shaped deep feature extraction module.
Comput. Vis. Image Underst., 2026

2024
FragGrow: A Web Server for Structure-Based Drug Design by Fragment Growing within Constraints.
J. Chem. Inf. Model., 2024

MacGen: A Web Server for Structure-Based Macrocycle Design.
J. Chem. Inf. Model., 2024

An Input-Output "Fundamental Lemma" for Quarter-Plane Causal 2-D Models.
IEEE Control. Syst. Lett., 2024

Predictive Norm Optimal Iterative Learning Control for High-performance Formation Control Problem.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
MolTaut: A Tool for the Rapid Generation of Favorable Tautomer in Aqueous Solution.
J. Chem. Inf. Model., April, 2023

2022
MolHyb: A Web Server for Structure-Based Drug Design by Molecular Hybridization.
J. Chem. Inf. Model., 2022

AA-Score: a New Scoring Function Based on Amino Acid-Specific Interaction for Molecular Docking.
J. Chem. Inf. Model., 2022

Model-free Predictive Optimal Iterative Learning Control using Reinforcement Learning.
Proceedings of the American Control Conference, 2022

2021
A multi-objective fog computing task scheduling strategy based on ant colony algorithm.
Proceedings of the 4th International Conference on Information Systems and Computer Aided Education, 2021

2019
Unsupervised feature selection via joint local learning and group sparse regression.
Frontiers Inf. Technol. Electron. Eng., 2019

2018
Using Semi-supervised Group Sparse Regression to Improve Web Accessibility Evaluation.
Proceedings of the Computers Helping People with Special Needs, 2018


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