Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Chengqi Zhang"'
Publikováno v:
IEEE Transactions on Cybernetics. 52:11107-11120
In this article, we study the reinforcement learning (RL) for vehicle routing problems (VRPs). Recent works have shown that attention-based RL models outperform recurrent neural network-based methods on these problems in terms of both effectiveness a
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:2293-2305
We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-class many-shot and few-class few-shot problems, the MCFS problem commonly occurs in practical applications but has
Publikováno v:
IEEE Journal of Emerging and Selected Topics in Power Electronics. 9:2632-2642
DC faults can easily lead to overcurrent in dc distribution networks; these faults pose serious threats to the safe operation of the system. The blocking of a modular multilevel converter based on the full-bridge submodule (FBSM-MMC) is mostly utiliz
Publikováno v:
Pattern Recognition Letters. 138:193-200
Community detection is a significant methodology in network science. Traditional methods show limitations in dealing with multi-scale and high-dimensional complex data. As one of the most popular unsupervised algorithms, affinity propagation algorith
Publikováno v:
IEEE Transactions on Cybernetics. 50:2475-2487
Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph analytics tasks like link prediction and graph clustering. Most approaches on graph embedding focus on preserving the graph structure or minimizing the reconstructio
Publikováno v:
IEEE Transactions on Big Data. 6:3-28
With the widespread use of information technologies, information networks are becoming increasingly popular to capture complex relationships across various disciplines, such as social networks, citation networks, telecommunication networks, and biolo
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 32:288-301
© 1989-2012 IEEE. Matrix factorization has been widely applied to various applications. With the fast development of storage and internet technologies, we have been witnessing a rapid increase of data. In this paper, we propose new algorithms for ma
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 31:2332-2345
Min-Hash is a popular technique for efficiently estimating the Jaccard similarity of binary sets. Consistent Weighted Sampling (CWS) generalizes the Min-Hash scheme to sketch weighted sets and has drawn increasing interest from the community. Due to
Publikováno v:
IEEE Transactions on Industrial Electronics. 66:9713-9723
Recent advancements in artificial intelligence are providing the insurance industry with new opportunities to create tailored solutions and services based on newfound knowledge of consumers, and the execution of enhanced operations and business funct
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:2193-2207
IEEE Time series has been a popular research topic over the past decade. Salient subsequences of time series that can benefit the learning task, e.g. classification or clustering, are called shapelets. Shapelet-based time series learning extracts the