Haoming Ma

According to our database, Haoming Ma authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Over-the-Air Federated Multi-Task Learning via Model Sparsification, Random Compression, and Turbo Compressed Sensing.

Haoming Ma, Xiaojun Yuan, Zhi Ding, Dian Fan, Jun Fang

IEEE Trans. Wirel. Commun., July, 2023

Graph learning considering dynamic structure and random structure.

Haiyao Dong, Haoming Ma, Zhenguang Du, Zhicheng Zhou, Haitao Yang, Zhenyuan Wang

J. King Saud Univ. Comput. Inf. Sci., July, 2023

Over-the-Air Federated Learning in MIMO Cloud-RAN Systems.

Haoming Ma, Xiaojun Yuan, Zhi Ding

CoRR, 2023

FastAct: A Lightweight Actor Compression Framework for Fast Policy Learning.

Hongjie Zhang, Haoming Ma, Zhenyu Chen

Proceedings of the International Joint Conference on Neural Networks, 2023

PCB Component Rotation Detection Based on Polarity Identifier Attention.

Haoming Ma, Hongjie Zhang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022

A 2D-graph model-based heuristic approach to visual backtracking security vulnerabilities in physical protection systems.

Jun Yang, Leixiong Huang, Haoming Ma, Zhihui Xu, Ming Yang, Shaoqiang Guo

Int. J. Crit. Infrastructure Prot., 2022

Over-the-Air Federated Multi-Task Learning via Model Sparsification and Turbo Compressed Sensing.

Haoming Ma, Xiaojun Yuan, Zhi Ding, Dian Fan, Jun Fang

CoRR, 2022

Over-the-Air Federated Multi-Task Learning.

Haoming Ma, Xiaojun Yuan, Dian Fan, Zhi Ding, Xin Wang, Jun Fang

Proceedings of the IEEE International Conference on Communications, 2022

2021

Multi-task Over-the-Air Federated Learning: A Non-Orthogonal Transmission Approach.

Haoming Ma, Xiaojun Yuan, Dian Fan, Zhi Ding, Xin Wang

CoRR, 2021

2020

Structural and Computational Properties of Possibilistic Armstrong Databases.

Seyeong Jeong, Haoming Ma, Ziheng Wei, Sebastian Link

Proceedings of the Conceptual Modeling - 39th International Conference, 2020