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20082026
most citedDeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

561 citations · 843 across the 63 of their papers we have counts for

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Showing cs.ITShow all

6 papers · 1 filter

cs.IT2023★ 4 cited

A Tutorial on Environment-Aware Communications via Channel Knowledge Map for 6G

Yong Zeng, Junting Chen, Jie Xu +7

Sixth-generation (6G) mobile communication networks are expected to have dense infrastructures, large antenna size, wide bandwidth, cost-effective hardware, diversified positioning…

cs.IT2022★ 1 cited

Environment-Aware Hybrid Beamforming by Leveraging Channel Knowledge Map

Di Wu, Yong Zeng, Shi Jin +1

Hybrid analog/digital beamforming is a promising technique to realize millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems cost-effectively. However, exis…

cs.IT2021★ 1 cited

Environment-Aware Beam Selection for IRS-Aided Communication with Channel Knowledge Map

Dingyang Ding, Di Wu, Yong Zeng +2

Intelligent reflecting surface (IRS)-aided communication is a promising technology for beyond 5G (B5G) systems, to reconfigure the radio environment proactively. However, IRS-aided…

cs.IT2021★ 3 cited

DOA Estimation Using Massive Receive MIMO: Basic Principle and Key Techniques

Jiangzhou Wang, Baihua Shi, Feng Shu +6

As massive multiple-input multiple-output (MIMO) becomes popular, direction of arrival (DOA) measurement has been made a real renaissance due to the high-resolution achieved. Thus,…

cs.IT2018★ 1 cited

Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray

Yiwei Sun, Zhen Gao, Hua Wang +1

Hybrid precoding design can be challenging for broadband millimeter-wave (mmWave) massive MIMO due to the frequency-flat analog precoder in radio frequency (RF). Prior broadband hy…

cs.IT2018★ 2 cited

Wideband Hybrid Precoding for Next-Generation Backhaul/Fronthaul Based on mmWave FD-MIMO

Yiwei Sun, Zhen Gao, Hua Wang +1

Millimeter-wave (mmWave) communication is considered as an indispensable technique for the next-generation backhaul/fronthaul network thanks to its large transmission bandwidth. Es…