◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

H. Fang

4 papers hereh-index 344.5k citations182 works total

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

author position
  • first author2
  • last author2

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

fields
  • cs.IR2
  • cs.CV1
  • eess.IV1
same name
  • H. Fang — 20 papers, h 13
  • H. Fang — 12 papers, h 45
  • H. Fang — 5 papers, h 29
  • H. Fang — 5 papers, h 25
  • H. Fang — 5 papers, h 2
  • H. Fang — 4 papers, h 17

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
20212023
most citedContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation

3 citations · 6 across the 2 of their papers we have counts for

collaborators

4 papers

cs.IR2023

ZeQR: Zero-shot Query Reformulation for Conversational Search

Dayu Yang, Yue Zhang, Hui Fang

As the popularity of voice assistants continues to surge, conversational search has gained increased attention in Information Retrieval. However, data sparsity issues in conversati…

cs.IR2023

Mixed-initiative Query Rewriting in Conversational Passage Retrieval

Dayu Yang, Yue Zhang, Hui Fang

In this paper, we report our methods and experiments for the TREC Conversational Assistance Track (CAsT) 2022. In this work, we aim to reproduce multi-stage retrieval pipelines and…

eess.IV2022★ 3 cited

Multi-organ Segmentation Network with Adversarial Performance Validator

Haoyu Fang, Yi Fang, Xiaofeng Yang

CT organ segmentation on computed tomography (CT) images becomes a significant brick for modern medical image analysis, supporting clinic workflows in multiple domains. Previous se…

cs.CV2021★ 3 cited

ContinuityLearner: Geometric Continuity Feature Learning for Lane Segmentation

Haoyu Fang, Jing Zhu, Yi Fang

Lane segmentation is a challenging issue in autonomous driving system designing because lane marks show weak textural consistency due to occlusion or extreme illumination but stron…

◍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.