Dongzhu Liu

According to our database, Dongzhu Liu authored at least 29 papers between 2017 and 2026.

Collaborative distances:

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

2026

Federated Martingale Posterior Samping.

Boning Zhang, Matteo Zecchin, Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone

CoRR, May, 2026

Null-Space Flow Matching for MIMO Channel Estimation in Latency-Constrained Systems.

Junjie Zhao, Guangming Liang, Dongzhu Liu, Xiaonan Liu

CoRR, April, 2026

Three Birds, One Stone: Solving the Communication-Memory-Privacy Trilemma in LLM Fine-tuning Over Wireless Networks with Zeroth-Order Optimization.

Zhijie Cai, Yuhao Zheng, Haolong Chen, Dongzhu Liu, Bin Wang, Guangxu Zhu

CoRR, April, 2026

2025

Safeguarded AI-Driven Semantic Communication: Design Principles, Architecture, and Challenges.

Chengsi Liang, Yao Sun, Dongzhu Liu, Dahui Yu, Muhammad Ali Imran

IEEE Commun. Stand. Mag., December, 2025

Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels.

Guangming Liang, Mingjie Yang, Dongzhu Liu, Paul Henderson, Lajos Hanzo

CoRR, December, 2025

Efficient Wireless Federated Learning via Low-Rank Gradient Factorization.

Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen

IEEE Trans. Veh. Technol., April, 2025

Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference.

Mingjie Yang, Guangming Liang, Dongzhu Liu, Lei Zhang, Kaibin Huang

Proceedings of the IEEE International Conference on Communications, 2025

Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning.

Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Joint Compression and Deadline Optimization for Wireless Federated Learning.

Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong, Tony Q. S. Quek

IEEE Trans. Mob. Comput., July, 2024

Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning.

Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen

CoRR, 2024

2023

Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy.

Dongzhu Liu, Osvaldo Simeone

IEEE Trans. Wirel. Commun., May, 2023

Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI.

Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu

IEEE Netw., 2023

Joint Compression and Deadline Optimization for Wireless Federated Learning.

Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong

CoRR, 2023

Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control.

Yuding Liu, Dongzhu Liu, Guangxu Zhu, Qingjiang Shi, Caijun Zhong

CoRR, 2023

Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics.

Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu

Proceedings of the IEEE Global Communications Conference, 2023

Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning.

Maojun Zhang, Zhijie Cai, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers.

Dongzhu Liu, Osvaldo Simeone

IEEE J. Sel. Areas Commun., 2022

Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo.

Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone

Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

2021

Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission.

Dongzhu Liu, Guangxu Zhu, Qunsong Zeng, Jun Zhang, Kaibin Huang

IEEE Trans. Wirel. Commun., 2021

Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning.

Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang

IEEE Trans. Cogn. Commun. Netw., 2021

Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control.

Dongzhu Liu, Osvaldo Simeone

IEEE J. Sel. Areas Commun., 2021

2020

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning.

Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang

IEEE Commun. Mag., 2020

Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning.

Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission.

Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

2018

Mitigating Interference in Content Delivery Networks by Spatial Signal Alignment: The Approach of Shot-Noise Ratio.

Dongzhu Liu, Kaibin Huang

IEEE Trans. Wirel. Commun., 2018

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning.

Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang

CoRR, 2018

Communication, Computing, and Learning on the Edge.

Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang, Yuqing Du, Dongzhu Liu

Proceedings of the IEEE International Conference on Communication Systems, 2018

2017

Spatial Alignment of Coding and Modulation Helps Content Delivery.

Dongzhu Liu, Kaibin Huang

CoRR, 2017

Harnessing Interference in Content Delivery by Spatial Signal Alignment.

Dongzhu Liu, Kaibin Huang

Proceedings of the 2017 IEEE Global Communications Conference, 2017