Ziyang Zhang
I am currently a Postdoctoral Researcher in the NESLab at Politecnico di Milano, working with Prof. Luca Mottola. I obtained my Ph.D. degree from Harbin Institute of Technology in 2024, advised by Prof. Jie Liu (IEEE Fellow, ACM Distinguished Scientist).
My main research interest is edge computing, embedded intelligence, with a focus on high-performance and energy-efficent edge DNN inference.
- DNN Compilation Optimization (POS, TOP)
- Task Scheduling and Resource Allocation (Octopus, BCEdge, ECSRL)
- Collaborative AI (DVFO)
- Energy-efficient DNN inference (E4, E3)
You can access my resume here.
Recent News
| Jan 22, 2025 | One paper was accepted by ACM SenSys 2025! (Acceptance Rate: 46/245, 18.8%) |
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| Dec 10, 2024 | One paper was accepted by AAAI 2025! |
| Dec 03, 2024 | One paper was accepted by IEEE Trans. on Parallel and Distributed Systems 2024! |
| Jun 05, 2024 | One paper was accepted by IEEE Trans. on Network and Service Management 2024! |
| Jan 23, 2024 | One paper was accepted by IEEE Trans. on Mobile Computing 2024! |
| Sep 20, 2023 | One paper was accepted by ICSOC 2023! (Acceptance Rate: 35/208, 16.8%) |
| May 09, 2023 | One paper was accepted by IPSN 2023! (Acceptance Rate: 22/83, 26.5%) |
Selected Publications
- SenSys’25E3: Early Exiting with Explainable AI for Real-Time and Accurate DNN Inference in Edge-Cloud SystemsIn SenSys, 2025
- AAAI’25
- IEEE TPDS’24TOP: Task-Based Operator Parallelism for Asynchronous Deep Learning Inference on GPUIEEE Transactions on Parallel and Distributed Systems, 2024
- IEEE TMC’24DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative InferenceIEEE Transactions on Mobile Computing, 2024