activity
20172024
most citedSTCF Conceptual Design Report: Volume 1 -- Physics & Detector

219 citations · 670 across the 39 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

eess.SP2022

Enhanced-rate Iterative Beamformers for Active IRS-assisted Wireless Communications

Yeqing Lin, Feng Shu, Rongen Dong +5

Compared to passive intelligent reflecting surface (IRS), active IRS is viewed as a more efficient promising technique to combat the double-fading impact in IRS-aided wireless netw…

cs.NE2022★ 1 cited

Higher-order Knowledge Transfer for Dynamic Community Detection with Great Changes

Huixin Ma, Kai Wu, Handing Wang +1

Network structure evolves with time in the real world, and the discovery of changing communities in dynamic networks is an important research topic that poses challenging tasks. Mo…

cs.IT2022

Two Low-complexity Efficient Beamformers for IRS-and-UAV-aided Directional Modulation Networks

Yeqing Lin, Feng Shu, Yuxiang Zheng +5

As the excellent tools for aiding communication,intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) can extend the coverage area, remove blind area, and achieve…

astro-ph.IM2022★ 12 cited

Characterization Of Inpaint Residuals In Interferometric Measurements of the Epoch Of Reionization

Michael Pagano, Jing Liu, Adrian Liu +75

Radio Frequency Interference (RFI) is one of the systematic challenges preventing 21cm interferometric instruments from detecting the Epoch of Reionization. To mitigate the effects…

cond-mat.mes-hall2022★ 10 cited

Transport evidence of superlattice Dirac cones in graphene monolayer on twisted boron nitride substrate

Shimin Cao, Mantang Chen, Jiang Zeng +9

Strong band engineering in two-dimensional (2D) materials can be achieved by introducing moiré superlattices, leading to the emergence of various novel quantum phases with promisin…

cs.CL2022★ 6 cited

A Thorough Examination on Zero-shot Dense Retrieval

Ruiyang Ren, Yingqi Qu, Jing Liu +6

Recent years have witnessed the significant advance in dense retrieval (DR) based on powerful pre-trained language models (PLM). DR models have achieved excellent performance in se…