◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Fenglong Ma

20 papers hereh-index 10329 citations29 works total

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

author position
  • middle author2
  • last author17

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.AI3
  • cs.CL2
  • cs.CR2
  • cs.IR2
  • cs.CV1
same name
  • Fenglong Ma — 14 papers, h 33
  • Fenglong Ma — 9 papers, h 10
  • Fenglong Ma — 7 papers, h 3
  • Fenglong Ma — 7 papers, h 3
  • Fenglong Ma — 6 papers, h 14
  • Fenglong Ma — 6 papers, h 4

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
20232026
most citedGenerative AI in the Wild: Prospects, Challenges, and Strategies

58 citations · 80 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.IR2023

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation

Xiaochen Wang, Xiao Xiao, Ruhan Zhang +5

Efficient and accurate product relevance assessment is critical for user experiences and business success. Training a proficient relevance assessment model requires high-quality qu…

cs.AI2023★ 2 cited

Hierarchical Pretraining on Multimodal Electronic Health Records

Xiaochen Wang, Junyu Luo, Jiaqi Wang +5

Pretraining has proven to be a powerful technique in natural language processing (NLP), exhibiting remarkable success in various NLP downstream tasks. However, in the medical domai…

cs.LG2023★ 2 cited

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation

Yuan Zhong, Suhan Cui, Jiaqi Wang +7

Health risk prediction is one of the fundamental tasks under predictive modeling in the medical domain, which aims to forecast the potential health risks that patients may face in…

cs.CR2023★ 8 cited

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models

Ziyi Yin, Muchao Ye, Tianrong Zhang +6

Vision-Language (VL) pre-trained models have shown their superiority on many multimodal tasks. However, the adversarial robustness of such models has not been fully explored. Exist…

◍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.