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researcher

Zijun Gao

4 papers here

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

author position
  • middle author4

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

fields
  • cs.AI2
  • cs.CV1
  • cs.RO1
ORCID 0000-0002-8583-3364
same name
  • Zijun Gao — 6 papers, h 3
  • Zijun Gao — 3 papers, h 7
  • Zijun Gao — 3 papers
  • Zijun Gao — 3 papers, h 2
  • Zijun Gao — 2 papers
  • Zijun Gao — 2 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 citedReinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs

3 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description

Xiaohan Cheng, Taiyuan Mei, Yun Zi +3

Zero sample learning is an effective method for data deficiency. The existing embedded zero sample learning methods only use the known classes to construct the embedded space, so t…

cs.AI2024★ 3 cited

Comprehensive Review and Empirical Evaluation of Causal Discovery Algorithms for Numerical Data

Wenjin Niu, Zijun Gao, Liyan Song +1

Causal analysis has become an essential component in understanding the underlying causes of phenomena across various fields. Despite its significance, existing literature on causal…

cs.AI2024★ 3 cited

Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs

Ngoc Quach, Qi Wang, Zijun Gao +3

The widespread use of knowledge graphs in various fields has brought about a challenge in effectively integrating and updating information within them. When it comes to incorporati…

cs.RO2024★ 3 cited

Deep Reinforcement Learning for Mobile Robot Path Planning

Hao Liu, Yi Shen, Shuangjiang Yu +2

Path planning is an important problem with the the applications in many aspects, such as video games, robotics etc. This paper proposes a novel method to address the problem of Dee…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.