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07/31/2022
Ultra-low Latency Adaptive Local Binary Spiking Neural Network with Accuracy Loss Estimator
Spiking neural network (SNN) is a brain-inspired model which has more sp...
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04/01/2021
Sub-GMN: The Subgraph Matching Network Model
As one of the most fundamental tasks in graph theory, subgraph matching ...
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08/19/2020
Balanced Order Batching with Task-Oriented Graph Clustering
Balanced order batching problem (BOBP) arises from the process of wareho...
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03/07/2019
Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System
In this paper, we study a courier dispatching problem (CDP) raised from ...
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11/26/2018
