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Wei Yu

16 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author12

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.IT6
  • cs.LG3
  • eess.SP3
  • cs.CV2
  • cs.NI1
  • math.OC1
ORCID 0000-0002-7453-422X
same name
  • Wei Yu — 44 papers, h 70
  • Wei Yu — 10 papers
  • Wei Yu — 8 papers, h 48
  • Wei Yu — 7 papers
  • Wei Yu — 5 papers
  • Wei Yu — 4 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142024
most citedLarge-Scale MIMO versus Network MIMO for Multicell Interference Mitigation

141 citations · 196 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 4 cited

Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models

Qiong Wu, Wei Yu, Yiyi Zhou +3

With ever increasing parameters and computation, vision-language pre-trained (VLP) models exhibit prohibitive expenditure in downstream task adaption. Recent endeavors mainly focus…

eess.SP2023

Active Sensing for Localization with Reconfigurable Intelligent Surface

Zhongze Zhang, Tao Jiang, Wei Yu

This paper addresses an uplink localization problem in which the base station (BS) aims to locate a remote user with the aid of reconfigurable intelligent surface (RIS). This paper…

cs.IT2023

Active Sensing for Two-Sided Beam Alignment and Reflection Design Using Ping-Pong Pilots

Tao Jiang, Foad Sohrabi, Wei Yu

Beam alignment is an important task for millimeter-wave (mmWave) communication, because constructing aligned narrow beams both at the transmitter (Tx) and the receiver (Rx) is cruc…

cs.LG2023★ 23 cited

Uncertainty Injection: A Deep Learning Method for Robust Optimization

Wei Cui, Wei Yu

This paper proposes a paradigm of uncertainty injection for training deep learning model to solve robust optimization problems. The majority of existing studies on deep learning fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.