A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint

Jun. 2018

Split Delivery Vehicle Routing Problem with 3D Loading Constraints (3L-SDVRP) comprises three NP-hard problems, vehicle routing problem, cargo splitting problem and 3D container loading problem, which shall be jointly optimized for cost savings. We design a novel data-driven three-layer search algorithm (DTSA), which improves both the efficiency and effectiveness of traditional ...

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The Relationship Between Machine Learning and Operations Research

May. 2018

As an intern at Huawei's Noah's Ark Lab, my work is combining machine learning with operations research to improve the efficiency of Huawei's supply chain. It is found that the traditional OR methods, once combined with “learning”, will produce valuable research. And it's also one of the hottest research areas in solving large-scale complex problems. In this article, I will talk about my understandings about them.

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Attend VALSE 2018 to Explore the Future of Computational Vision

Apr. 2018

On April 22, 2018, the three-day 8th Vision And Learning SEminar (VALSE 2018) closed successfully in Dalian, a beautiful seaside city. Noah's Ark Lab participated in this grand event with numerous research results in the field of computational vision and had extensive and in-depth exchanges with the participants.

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Deep Meta-Learning: Learning to Learn in the Concept Space

Apr. 2018

We propose a new meta-learning framework to integrate the representation power of deep learning into meta-learning, thus called deep meta-learning, and show it can substantially improve vanilla meta-learning algorithms on various few-shot image recognition problems. For example, on 5-way-1-shot image recognition on CUB-200, it improves Meta-SGD (Li et al., 2017) from 53.34% to 66.95%. We expect its widespread use in the near future.

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Prof. Thomas Dietterich made a visit to Noah’s Ark Lab

May. 2017

Prof. Dietterich is a leader of research on Robust AI, which is about how to make AI systems more robust in practice, particularly in high-risk applications. Researchers at Noah’s Ark are collaborating with Prof. Dietterich on Robust AI with machine learning for telecommunications as the application area....

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