◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Xiangfeng Wang

50 papers hereh-index 211.7k citations104 works total

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

author position
  • first author1
  • middle author31
  • last author17

Across the 49 of 50 papers where every author was matched, so the position is known.

fields
  • cs.LG23
  • cs.AI8
  • cs.CV7
  • cs.MA3
  • cs.CY2
  • cs.RO2
same name
  • Xiangfeng Wang — 27 papers, h 8
  • Xiangfeng Wang — 11 papers, h 3
  • Xiangfeng Wang — 10 papers, h 12
  • Xiangfeng Wang — 5 papers, h 4
  • Xiangfeng Wang — 3 papers, h 20
  • Xiangfeng Wang — 1 paper

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
20152026
most citedA Fast Proximal Point Method for Computing Exact Wasserstein Distance

76 citations · 233 across the 46 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024★ 1 cited

FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework

Yuchen He, Chuyun Shen, Xiangfeng Wang +1

Federated continual learning (FCL) aims to learn from sequential data stream in the decentralized federated learning setting, while simultaneously mitigating the catastrophic forge…

cs.CV2024

Masked Autoencoders are Parameter-Efficient Federated Continual Learners

Yuchen He, Xiangfeng Wang

Federated learning is a specific distributed learning paradigm in which a central server aggregates updates from multiple clients' local models, thereby enabling the server to lear…

cs.CV2024★ 3 cited

Interactive 3D Medical Image Segmentation with SAM 2

Chuyun Shen, Wenhao Li, Yuhang Shi +1

Interactive medical image segmentation (IMIS) has shown significant potential in enhancing segmentation accuracy by integrating iterative feedback from medical professionals. Howev…

cs.CV2024

Complementary Information Mutual Learning for Multimodality Medical Image Segmentation

Chuyun Shen, Wenhao Li, Haoqing Chen +5

Radiologists must utilize multiple modal images for tumor segmentation and diagnosis due to the limitations of medical imaging and the diversity of tumor signals. This leads to the…

◍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.