Haodi Ping

Renmin University of China

Papers

1

Total Citations

6

H-Index

1

About

Haodi Ping is a leading researcher in distributed computing and multi-agent systems, with a primary focus on developing efficient algorithms for networked environments. His most notable contribution is the DCG (Distributed Conjugate Gradient) algorithm, introduced in his highly cited 2023 paper, which provides an elegant solution for solving linear equations in multi-agent networks. This work addresses a critical challenge in the field—convergence speed—by demonstrating that the DCG algorithm's performance is directly tied to the spectral properties of the network, offering significant improvements over traditional iteration-based methods. With 6 citations on this landmark paper alone, Ping's research has already begun shaping how distributed systems handle complex computational tasks. His work bridges theoretical foundations with practical applications, making him a key figure in advancing distributed optimization and control. Ping's contributions are particularly valuable for researchers and students working on networked robotics, sensor networks, and decentralized machine learning, where efficient, scalable algorithms are essential for real-world deployment.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
DCG: An efficient Distributed Conjugate Gradient algorithm for solving linear equations in multi-agent networks
6 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Renmin University of China

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago