◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Kun Wang

15 papers hereh-index 5326 citations16 works total

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

author position
  • sole author5
  • first author3
  • middle author4
  • last author1

Across the 13 of 15 papers where every author was matched, so the position is known.

fields
  • cs.IT6
  • cs.CV4
  • cs.LG2
  • cs.NI1
  • cs.SD1
  • eess.SP1
same name
  • Kun Wang — 21 papers, h 9
  • Kun Wang — 19 papers, h 3
  • Kun Wang — 18 papers, h 11
  • Kun Wang — 17 papers, h 7
  • Kun Wang — 15 papers, h 5
  • Kun Wang — 14 papers, h 12

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
20152023
most citedPhase Noise Compensation Using Limited Reference Symbols in 3GPP LTE Downlink

7 citations · 36 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.SD2021

Pitch Preservation In Singing Voice Synthesis

Shujun Liu, Hai Zhu, Kun Wang +1

Suffering from limited singing voice corpus, existing singing voice synthesis (SVS) methods that build encoder-decoder neural networks to directly generate spectrogram could lead t…

cs.CV2021★ 5 cited

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark

Kun Wang, Zhenyu Zhang, Zhiqiang Yan +4

Monocular depth estimation aims at predicting depth from a single image or video. Recently, self-supervised methods draw much attention since they are free of depth annotations and…

cs.CV2021★ 5 cited

RigNet: Repetitive Image Guided Network for Depth Completion

Zhiqiang Yan, Kun Wang, Xiang Li +3

Depth completion deals with the problem of recovering dense depth maps from sparse ones, where color images are often used to facilitate this task. Recent approaches mainly focus o…

cs.LG2021

Cascading Bandit under Differential Privacy

Kun Wang, Jing Dong, Baoxiang Wang +2

This paper studies \emph{differential privacy (DP)} and \emph{local differential privacy (LDP)} in cascading bandits. Under DP, we propose an algorithm which guarantees ε-indisti…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.