Zobrazeno 1 - 10
of 335
pro vyhledávání: '"Zou, Ding"'
Incorporating Knowledge Graphs into Recommendation has attracted growing attention in industry, due to the great potential of KG in providing abundant supplementary information and interpretability for the underlying models. However, simply integrati
Externí odkaz:
http://arxiv.org/abs/2405.20565
Autor:
Zou, Ding, Lu, Wei, Zhu, Zhibo, Lu, Xingyu, Zhou, Jun, Wang, Xiaojin, Liu, Kangyu, Wang, Haiqing, Wang, Kefan, Sun, Renen
Autoscaling is a vital mechanism in cloud computing that supports the autonomous adjustment of computing resources under dynamic workloads. A primary goal of autoscaling is to stabilize resource utilization at a desirable level, thus reconciling the
Externí odkaz:
http://arxiv.org/abs/2311.12864
In this paper, with the aid of mutual information and generalized mutual information (GMI) capacity analyses, it is shown that the geometrically shaped APSK that mimics an optimal Gaussian distribution with equiprobable signaling together with the co
Externí odkaz:
http://hdl.handle.net/10150/623873
http://arizona.openrepository.com/arizona/handle/10150/623873
http://arizona.openrepository.com/arizona/handle/10150/623873
Autor:
Zou, Ding, Djordjevic, Ivan B.
In this paper, we propose a rate-compatible forward error-correcting (FEC) scheme based on low-density-parity check (LDPC) codes together with its software reconfigurable unified field-programmable gate array (FPGA) architecture. By FPGA emulation, w
Externí odkaz:
http://hdl.handle.net/10150/621685
http://arizona.openrepository.com/arizona/handle/10150/621685
http://arizona.openrepository.com/arizona/handle/10150/621685
Autor:
Zou, Ding, Djordjevic, Ivan B.
In this paper, we propose a rate-adaptive FEC scheme based on LDPC codes together with its software reconfigurable unified FPGA architecture. By FPGA emulation, we demonstrate that the proposed class of rate-adaptive LDPC codes based on shortening wi
Externí odkaz:
http://hdl.handle.net/10150/621981
http://arizona.openrepository.com/arizona/handle/10150/621981
http://arizona.openrepository.com/arizona/handle/10150/621981
A mutual information inspired nonbinary coded modulation design with non-uniform shaping is proposed. Instead of traditional power of two signal constellation sizes, we design 5-QAM, 7-QAM and 9-QAM constellations, which can be used in adaptive optic
Externí odkaz:
http://hdl.handle.net/10150/622821
http://arizona.openrepository.com/arizona/handle/10150/622821
http://arizona.openrepository.com/arizona/handle/10150/622821
Autor:
Zou, Ding, Djordjevic, Ivan B.
In state-of-the-art fiber-optics communication systems the fixed forward error correction (FEC) and constellation size are employed. While it is important to closely approach the Shannon limit by using turbo product codes (TPC) and low-density parity
Externí odkaz:
http://hdl.handle.net/10150/621800
http://arizona.openrepository.com/arizona/handle/10150/621800
http://arizona.openrepository.com/arizona/handle/10150/621800
Autor:
Zou, Ding, Djordjevic, Ivan B.
Forward error correction (FEC) is as one of the key technologies enabling the next-generation high-speed fiber optical communications. In this paper, we propose a rate-adaptive scheme using a class of generalized low-density parity-check (GLDPC) code
Externí odkaz:
http://hdl.handle.net/10150/621801
http://arizona.openrepository.com/arizona/handle/10150/621801
http://arizona.openrepository.com/arizona/handle/10150/621801
Incorporating Knowledge Graphs (KG) into recommeder system has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop end-to-end models based on graph neural networks (GNNs). However, the
Externí odkaz:
http://arxiv.org/abs/2208.10061
Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, graph neural networks (GNNs) based model has gradually become the theme of knowledge-aware recommendation (KGR). However, there is a natural deficiency for GN
Externí odkaz:
http://arxiv.org/abs/2204.08807