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Zijian Zhao

The Hong Kong University of Science and Technology

28 papers hereh-index 7173 citations36 works total

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

author position
  • sole author2
  • first author19
  • middle author7

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.AI3
  • cs.CL3
  • cs.CV3
  • cs.MA3
  • cs.SD3
affiliations
  • The Hong Kong University of Science and Technology
  • Huawei
Homepage
same name
  • Zijian Zhao — 9 papers, h 11
  • Zijian Zhao — 7 papers, h 15
  • Zijian Zhao — 4 papers, h 6
  • Zijian Zhao — 3 papers, h 4
  • Zijian Zhao — 3 papers, h 5
  • Zijian Zhao — 1 paper, h 3

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
20242026
most citedAn overview of domain-specific foundation model: key technologies, applications and challenges

18 citations · 63 across the 27 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2025

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms

Zijian Zhao, Sen Li

Order dispatch is a critical task in ride-sharing systems with Autonomous Vehicles (AVs), directly influencing efficiency and profits. Recently, Multi-Agent Reinforcement Learning…

cs.AI2025

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving

Chuxue Cao, Mengze Li, Juntao Dai +7

Large language models (LLMs) have shown promising first-order logic (FOL) reasoning capabilities with applications in various areas. However, their effectiveness in complex mathema…

cs.AI2024★ 18 cited

An overview of domain-specific foundation model: key technologies, applications and challenges

Haolong Chen, Hanzhi Chen, Zijian Zhao +6

The impressive performance of ChatGPT and other foundation-model-based products in human language understanding has prompted both academia and industry to explore how these models…

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