Publications

An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
We solve the TSP as a link prediction task and propose an edge-aware graph autoencoder (EdgeGAE) model that can solve TSPs by learning from various-scale samples with an imbalanced distribution.
Shiqing Liu, Xueming Yan, Yaochu Jin
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An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
Graph Q-learning Assisted Ant Colony Optimization for Vehicle Routing Problems with Time Windows
Shiqing Liu, Peng Yue, Yaochu Jin
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Federated Graph Neural Networks with Bipartite Embedding for Multi-Objective Facility Location
Zeqi Zheng, Ziqi Wang, Xueming Yan, Yaochu Jin, Shiqing Liu, Qiqi Liu
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Federated Bayesian Optimization for Privacy-Preserving Neural Architecture Search
Shiqing Liu, Xilu Wang, Yaochu Jin
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End-to-end Pareto set prediction with graph neural networks for multi-objective facility location
Shiqing Liu, Xueming Yan, Yaochu Jin
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A survey on computationally efficient neural architecture search
Shiqing Liu, Haoyu Zhang, Yaochu Jin
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Federated learning on non-IID data: A survey
Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin
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An example preprint / working paper
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Shiqing Liu
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An example preprint / working paper
An estimation of distribution algorithm for multi-robot multi-point dynamic aggregation problem
Bin Xin, Shiqing Liu, Zhihong Peng, Guanqiang Gao
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An example journal article
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Shiqing Liu, Robert Ford
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An example journal article
An example conference paper
Here is the short summary content…Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis posuere tellus ac convallis placerat. Proin tincidunt magna sed ex sollicitudin condimentum.
Shiqing Liu, Robert Ford
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An example conference paper