Yubin Xiao

Orcid: 0000-0001-6441-9167

According to our database1, Yubin Xiao authored at least 25 papers between 2014 and 2026.

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

Timeline

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Bibliography

2026
A generalized neural solver based on LLM-guided heuristic evoluation framework for solving diverse variants of vehicle routing problems.
Expert Syst. Appl., 2026

2025
Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem.
CoRR, July, 2025

GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales.
CoRR, June, 2025

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution.
CoRR, June, 2025

Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models.
CoRR, May, 2025

Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization.
CoRR, March, 2025

Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture.
Neural Networks, 2025

A deep learning based approach for automatic cardiac events identification.
Biomed. Signal Process. Control., 2025

Dual Operation Aggregation Graph Neural Networks for Solving Flexible Job-Shop Scheduling Problem with Reinforcement Learning.
Proceedings of the ACM on Web Conference 2025, 2025

An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024
Neural Architecture Search for Text Classification With Limited Computing Resources Using Efficient Cartesian Genetic Programming.
IEEE Trans. Evol. Comput., June, 2024

Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives.
CoRR, 2024

Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Shape-aware fine-grained classification of erythroid cells.
Appl. Intell., August, 2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023

An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks.
IEEE Access, 2023

Leveraging Hierarchical Similarities for Contrastive Clustering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2020
A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.
BMC Bioinform., 2020

2019
IIRWR data.
Dataset, January, 2019

IIRWR: Internal Inclined Random Walk With Restart for LncRNA-Disease Association Prediction.
IEEE Access, 2019

2018
Sensing-Fi: Wi-Fi CSI and accelerometer fusion system for fall detection.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2016
Sensing Pollution on Online Social Networks: A Transportation Perspective.
Mob. Networks Appl., 2016

A portable Wireless Sensor Network system for real-time environmental monitoring.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

2014
On the Feasibility of Social Network-based Pollution Sensing in ITSs.
CoRR, 2014


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