Dongzhu Liu - RankMe

37 papers A 1B 2Misc 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Semantic-Aware Command and Control Transmission for Multi-UAVs. CoRR Boya Li, Xiaonan Liu, Dongzhu Liu, Dusit Niyato, Zhu Han
2025	—	`conf`	Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference. ICC Mingjie Yang, Guangming Liang, Dongzhu Liu, Lei Zhang, Kaibin Huang
2025	J	`jnl`	Efficient Wireless Federated Learning via Low-Rank Gradient Factorization. IEEE Trans. Veh. Technol. Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen
2025	J	`jnl`	Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels. CoRR Guangming Liang, Mingjie Yang, Dongzhu Liu, Paul Henderson, Lajos Hanzo
2025	A	`conf`	Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. AISTATS Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
2025	J	`jnl`	Safeguarded AI-Driven Semantic Communication: Design Principles, Architecture, and Challenges. IEEE Commun. Stand. Mag. Chengsi Liang, Yao Sun, Dongzhu Liu, Dahui Yu, Muhammad Ali Imran
2024	J	`jnl`	Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference. CoRR Mingjie Yang, Guangming Liang, Dongzhu Liu, Lei Zhang, Kaibin Huang
2024	J	`jnl`	Joint Compression and Deadline Optimization for Wireless Federated Learning. IEEE Trans. Mob. Comput. Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong, Tony Q. S. Quek
2024	J	`jnl`	Low-Rank Gradient Compression with Error Feedback for MIMO Wireless Federated Learning. CoRR Mingzhao Guo, Dongzhu Liu, Osvaldo Simeone, Dingzhu Wen
2024	J	`jnl`	Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning. CoRR Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guanchu Wang, Dimitrios Pezaros, Guangxu Zhu
2023	B	`conf`	Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. GLOBECOM Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
2023	J	`jnl`	Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. CoRR Boning Zhang, Dongzhu Liu, Osvaldo Simeone, Guangxu Zhu
2023	—	`conf`	Joint Compression and Deadline Optimization for Communication-Efficient Federated Edge Learning. GLOBECOM (Workshops) Maojun Zhang, Zhijie Cai, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong
2023	J	`jnl`	Joint Compression and Deadline Optimization for Wireless Federated Learning. CoRR Maojun Zhang, Yang Li, Dongzhu Liu, Richeng Jin, Guangxu Zhu, Caijun Zhong
2023	J	`jnl`	Over-the-Air Federated Edge Learning with Error-Feedback One-Bit Quantization and Power Control. CoRR Yuding Liu, Dongzhu Liu, Guangxu Zhu, Qingjiang Shi, Caijun Zhong
2023	J	`jnl`	Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. CoRR Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu
2023	J	`jnl`	Task-Oriented Integrated Sensing, Computation and Communication for Wireless Edge AI. IEEE Netw. Hong Xing, Guangxu Zhu, Dongzhu Liu, Haifeng Wen, Kaibin Huang, Kaishun Wu
2023	J	`jnl`	Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. IEEE Trans. Wirel. Commun. Dongzhu Liu, Osvaldo Simeone
2022	J	`jnl`	Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. IEEE J. Sel. Areas Commun. Dongzhu Liu, Osvaldo Simeone
2022	—	`conf`	Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. SPAWC Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone
2022	J	`jnl`	Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo. CoRR Yunchuan Zhang, Dongzhu Liu, Osvaldo Simeone
2021	J	`jnl`	Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. CoRR Dongzhu Liu, Osvaldo Simeone
2021	J	`jnl`	Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. IEEE Trans. Cogn. Commun. Netw. Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
2021	J	`jnl`	Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control. IEEE J. Sel. Areas Commun. Dongzhu Liu, Osvaldo Simeone
2021	J	`jnl`	Wireless Data Acquisition for Edge Learning: Data-Importance Aware Retransmission. IEEE Trans. Wirel. Commun. Dongzhu Liu, Guangxu Zhu, Qunsong Zeng, Jun Zhang, Kaibin Huang
2021	J	`jnl`	Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy. CoRR Dongzhu Liu, Osvaldo Simeone
2020	—	`conf`	Exploiting Diversity Via Importance-Aware User Scheduling for Fast Edge Learning. ICC Workshops Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
2020	J	`jnl`	Privacy For Free: Wireless Federated Learning Via Uncoded Transmission With Adaptive Power Control. CoRR Dongzhu Liu, Osvaldo Simeone
2020	J	`jnl`	Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. IEEE Commun. Mag. Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang
2019	J	`jnl`	Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning. CoRR Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
2019	—	`conf`	Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission. SPAWC Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
2018	Misc	`conf`	Communication, Computing, and Learning on the Edge. ICCS Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang, Yuqing Du, Dongzhu Liu
2018	J	`jnl`	Mitigating Interference in Content Delivery Networks by Spatial Signal Alignment: The Approach of Shot-Noise Ratio. IEEE Trans. Wirel. Commun. Dongzhu Liu, Kaibin Huang
2018	J	`jnl`	Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. CoRR Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang
2018	J	`jnl`	Wireless Data Acquisition for Edge Learning: Importance Aware Retransmission. CoRR Dongzhu Liu, Guangxu Zhu, Jun Zhang, Kaibin Huang
2017	B	`conf`	Harnessing Interference in Content Delivery by Spatial Signal Alignment. GLOBECOM Dongzhu Liu, Kaibin Huang
2017	J	`jnl`	Spatial Alignment of Coding and Modulation Helps Content Delivery. CoRR Dongzhu Liu, Kaibin Huang