◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Lu Wang

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.DC1
  • cs.LG1
  • cs.SE1
ORCID 0000-0002-7305-1496
same name
  • Lu Wang — 22 papers, h 20
  • Lu Wang — 11 papers, h 26
  • Lu Wang — 11 papers
  • Lu Wang — 10 papers, h 15
  • Lu Wang — 7 papers, h 11
  • Lu Wang — 5 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

most citedBenchmarking the Physical-world Adversarial Robustness of Vehicle Detection

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SE2023

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems

Ruomeng Ding, Chaoyun Zhang, Lu Wang +11

Root Cause Analysis (RCA) is becoming increasingly crucial for ensuring the reliability of microservice systems. However, performing RCA on modern microservice systems can be chall…

cs.DC2023★ 1 cited

Diffusion-based Time Series Data Imputation for Microsoft 365

Fangkai Yang, Wenjie Yin, Lu Wang +10

Reliability is extremely important for large-scale cloud systems like Microsoft 365. Cloud failures such as disk failure, node failure, etc. threaten service reliability, resulting…

cs.LG2023

Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction

Zhangchi Zhu, Lu Wang, Pu Zhao +7

Learning from positive and unlabeled data is known as positive-unlabeled (PU) learning in literature and has attracted much attention in recent years. One common approach in PU lea…

cs.CV2023★ 1 cited

Benchmarking the Physical-world Adversarial Robustness of Vehicle Detection

Tianyuan Zhang, Yisong Xiao, Xiaoya Zhang +2

Adversarial attacks in the physical world can harm the robustness of detection models. Evaluating the robustness of detection models in the physical world can be challenging due to…

◍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.