no code implementations • 10 Oct 2023 • Shiqing Liu, Xueming Yan, Yaochu Jin
It has been shown that learning-based methods outperform traditional heuristics and mathematical solvers on the Traveling Salesman Problem (TSP) in terms of both performance and computational efficiency.
no code implementations • 27 Oct 2022 • Shiqing Liu, Xueming Yan, Yaochu Jin
The network outputs are then converted into the probability distribution of the Pareto set, from which a set of non-dominated solutions can be sampled non-autoregressively.
no code implementations • 3 Jun 2022 • Shiqing Liu, Haoyu Zhang, Yaochu Jin
Neural architecture search (NAS) has become increasingly popular in the deep learning community recently, mainly because it can provide an opportunity to allow interested users without rich expertise to benefit from the success of deep neural networks (DNNs).
no code implementations • 12 Jun 2021 • Hangyu Zhu, Jinjin Xu, Shiqing Liu, Yaochu Jin
Federated learning is an emerging distributed machine learning framework for privacy preservation.