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Projects

Active grants and sponsored collaborations.

Funding Portfolio

Current Projects

ProjectFunderFundingStartEnd
Guangdong Basic and Applied Basic Research Foundation (Regional Joint Fund, Youth Fund)CNY 100k2025-112028-10

Project Details

This project studies theory and methods for mobile edge intelligence resource allocation to enhance virtual reality user experience.

Jointly funded by Guangdong municipal, Hong Kong, and university partnersCNY 950k2026-012027-12

Team Members

  • Dr. Jiadong Yu, HKUST(GZ)
  • Dr. Yantao Yu, HKUST
  • Mr. Ziru Zhang

Project Details

Designing robust assistance behaviours for smooth and safe human-robot collaboration in construction scenarios.

Guangdong Quanzhun Intelligent Technology Co., Ltd.CNY 200k2026-022027-01

Team Members

  • Mr. Ziru Zhang
  • Ms. Xuling Zhang
  • Mr. Nianfu Wang

Project Details

Developing data-augmented recognition algorithms for industrial images and CAD understanding tasks.

Diandong Intelligent Technology Co., Ltd.CNY 1M2026-012026-12

Team Members

  • Dr. Jiadong Yu, HKUST(GZ)
  • Dr. Xuechao Wang, HKUST(GZ)
  • Mr. Guangzhi Zhu
  • Mr. Hao Xiong
  • Mr. Hongxu Su

Project Details

Designing intelligent computation resource allocation strategies in blockchain-enabled systems.

Joint municipal-school-enterprise special projectCNY 250k2025-012026-12

Project Details

Developing synchronisation and security algorithms for reliable cyber-physical operations in smart-factory environments.

University of Bristol Global Positioning FundGBP 10k2026-022026-07

Team Members

  • Dr. Xiaolan Liu, University of Bristol
  • Dr. Jiadong Yu, HKUST(GZ)

Project Details

Research on tightly coupled sensing, communication, and distributed intelligence for context-aware multi-agent systems.

Towards Edge Intelligence: Context-aware and Multi-agent Approaches for Sensing, Computation and Communication

Date: 29th May 2026

Location: BDFI, University of Bristol (65 Avon St, Bristol, UK BS2 0PZ)

City of Guangzhou and district of Nansha postdoctoral grantCNY 300k2021-112024-05

Project Details

Investigating learning-enabled optimization for IRS-assisted mobile edge computing systems.

 
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