◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Qiang Fu

4 papers here

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

author position
  • sole author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.LG1
ORCID 0000-0002-8067-5571
same name
  • Qiang Fu — 9 papers, h 19
  • Qiang Fu — 7 papers, h 13
  • Qiang Fu — 5 papers
  • Qiang Fu — 5 papers
  • Qiang Fu — 4 papers, h 15
  • Qiang Fu — 4 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

activity
20212024
most citedJueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

A Different Level Text Protection Mechanism With Differential Privacy

Qingwen Fu

The article introduces a method for extracting words of different degrees of importance based on the BERT pre-training model and proves the effectiveness of this method. The articl…

cs.CL2023

How Do In-Context Examples Affect Compositional Generalization?

Shengnan An, Zeqi Lin, Qiang Fu +4

Compositional generalization--understanding unseen combinations of seen primitives--is an essential reasoning capability in human intelligence. The AI community mainly studies this…

cs.AI2023★ 2 cited

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective

Yiming Gao, Feiyu Liu, Liang Wang +11

MOBA games, e.g., Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various AI systems have been developed at the human leve…

cs.LG2021★ 4 cited

JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning

Zichuan Lin, Junyou Li, Jianing Shi +3

Learning rational behaviors in open-world games like Minecraft remains to be challenging for Reinforcement Learning (RL) research due to the compound challenge of partial observabi…

◍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.