Qiyang Zhang

Orcid: 0000-0001-5585-6613

Affiliations:
  • Peking University, Computer Science School, Beijing, China
  • Beijing University of Posts and Telecommunications, Beijing, China (PhD 2024)
  • TU Wien, Distributed Systems Group, Austria (2022-2023)


According to our database1, Qiyang Zhang authored at least 30 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Task-Aware Collaborative Inference and Fine-Grained DNN Partitioning in MEC Networks.
IEEE Trans. Mob. Comput., June, 2026

Optimizing Multi-DNN Inference on Mobile Devices Through Heterogeneous Processor Co-Execution.
IEEE Trans. Mob. Comput., June, 2026

LLM-assisted Agentic Edge Intelligence Framework.
CoRR, April, 2026

NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum.
CoRR, March, 2026

Privacy-Aware and Energy-Efficient Split Learning for Wireless Consumer Healthcare Edge Devices.
IEEE Trans. Consumer Electron., February, 2026

Over-the-Air Computation-Powered Multi-Layer Federated Learning for Privacy-Preserving Healthcare Devices.
IEEE Trans. Consumer Electron., February, 2026

Socio-technical aspects of Agentic AI.
CoRR, January, 2026

Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems.
CoRR, January, 2026

Non-functional certification of edge-computing satellite systems.
Comput. Networks, 2026

2025
SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-Exit DNNs.
IEEE Trans. Mob. Comput., September, 2025

FOOL: Addressing the Downlink Bottleneck in Satellite Computing With Neural Feature Compression.
IEEE Trans. Mob. Comput., August, 2025

Spiking Neural Networks in Intelligent Edge Computing.
IEEE Consumer Electron. Mag., July, 2025

Energy-aware computing of access service for wireless edge via distributed deep learning.
Wirel. Networks, March, 2025

FedCLR+: Tackling Onboard Label Constraints for Accurate Federated Satellite Computing.
IEEE Trans. Serv. Comput., 2025

An Efficient and Stable Knowledge Service Framework for Satellite-Ground Collaboration.
IEEE Trans. Serv. Comput., 2025

SLICE: Energy-Efficient Satellite-Ground Co-Inference via Layer-Wise Scheduling Optimization.
IEEE Trans. Serv. Comput., 2025

Edge AI for Earth Observation.
IEEE Internet Comput., 2025

Performance Measurements in the AI-Centric Computing Continuum Systems.
Proceedings of the 11th IEEE World Forum on Internet of Things, 2025

2024
Benchmarking Mobile Deep Learning Software.
GetMobile Mob. Comput. Commun., September, 2024

A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection.
IEEE Trans. Mob. Comput., May, 2024

Energy-Efficient Federated Training on Mobile Device.
IEEE Netw., January, 2024

Toward Efficient Satellite Computing Through Adaptive Compression.
IEEE Trans. Serv. Comput., 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.
CoRR, 2024

Energy-Aware Satellite-Ground Co-Inference via Layer-Wise Processing Schedule Optimization.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Resource-efficient In-orbit Detection of Earth Objects.
Proceedings of the IEEE INFOCOM 2024, 2024

Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams.
Proceedings of the IEEE International Conference on Communications, 2024

2023
The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites.
CoRR, 2023

Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites.
Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

2022
Cost-aware edge server placement.
Int. J. Web Grid Serv., 2022

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


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