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researcher

Zhiwen Yu

33 papers hereh-index 5111.3k citations526 works total

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

author position
  • middle author18
  • last author15

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.HC9
  • cs.LG5
  • cs.AI4
  • cs.IR4
  • cs.CL2
  • cs.CV2
same name
  • Zhiwen Yu — 24 papers, h 9
  • Zhiwen Yu — 22 papers, h 8
  • Zhiwen Yu — 11 papers, h 10
  • Zhiwen Yu — 11 papers, h 13
  • Zhiwen Yu — 8 papers, h 42
  • Zhiwen Yu — 3 papers, h 3

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
20142023
most citedFrom Participatory Sensing to Mobile Crowd Sensing

124 citations · 319 across the 32 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2023

Collaborative Route Planning of UAVs, Workers and Cars for Crowdsensing in Disaster Response

Lei Han, Chunyu Tu, Zhiwen Yu +4

Efficiently obtaining the up-to-date information in the disaster-stricken area is the key to successful disaster response. Unmanned aerial vehicles (UAVs), workers and cars can col…

cs.AI2022★ 2 cited

Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review

Hao Wang, Bin Guo, Yating Zeng +5

The intelligent dialogue system, aiming at communicating with humans harmoniously with natural language, is brilliant for promoting the advancement of human-machine interaction in…

cs.AI2020

Object Tracking by Least Spatiotemporal Searches

Zhiyong Yu, Lei Han, Chao Chen +2

Tracking a car or a person in a city is crucial for urban safety management. How can we complete the task with minimal number of spatiotemporal searches from massive camera records…

cs.AI2020★ 1 cited

Towards information-rich, logical text generation with knowledge-enhanced neural models

Hao Wang, Bin Guo, Wei Wu +1

Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life. However, existing end-to-end neural mode…

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