Publications

2025

2025

1. SenSys’25

   E3: Early Exiting with Explainable AI for Real-Time and Accurate DNN Inference in Edge-Cloud Systems

   Changyao Lin, Zhenming Chen, Ziyang Zhang, and 1 more author

   In SenSys, 2025

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2. AAAI’25

   E4: Energy-Efficient Early-Exit DNN Inference Framework for Edge Video Analytics

   Ziyang Zhang, Yang Zhao, Chang Ming-Ching, and 2 more authors

   In AAAI, 2025

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2024

2024

1. IEEE TPDS’24

   TOP: Task-Based Operator Parallelism for Asynchronous Deep Learning Inference on GPU

   Changyao Lin, Zhenming Chen, Ziyang Zhang, and 1 more author

   IEEE Transactions on Parallel and Distributed Systems, 2024

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2. IEEE TNSM’24

   BCEdge: SLO-Aware DNN Inference Services with Adaptive Batch-Concurrent Scheduling on Edge Devices

   Ziyang Zhang, Yang Zhao, Huan Li, and 1 more author

   IEEE Transactions on Network and Service Management, 2024

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3. IEEE TMC’24

   DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference

   Ziyang Zhang, Yang Zhao, Huan Li, and 2 more authors

   IEEE Transactions on Mobile Computing, 2024

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2023

2023

1. ICSOC’23

   Octopus: SLO-Aware Progressive Inference Serving via Deep Reinforcement Learning in Multi-tenant Edge Cluster

   Ziyang Zhang, Yang Zhao, and Jie Liu

   In International Conference on Service-Oriented Computing, 2023

   DOI PDF
2. SenSys’23 Poster

   E4: Energy-Efficient Early-Exit DNN Inference Framework for Edge Video Analytics

   Ziyang Zhang, Yang Zhao, and Jie Liu

   In Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

   DOI PDF
3. IPSN’23 Poster

   DVFO: Dynamic Voltage, Frequency and Offloading for Efficient AI on Edge Devices

   Ziyang Zhang, Yang Zhao, and Jie Liu

   In Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

   DOI PDF
4. IPSN’23

   Pos: An operator scheduling framework for multi-model inference on edge intelligent computing

   Ziyang Zhang, Huan Li, Yang Zhao, and 2 more authors

   In Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

   DOI PDF

2021

2021

1. ICPADS’21

   Choosing Appropriate AI-enabled Edge Devices, Not the Costly Ones

   Ziyang Zhang, Feng Li, Changyao Lin, and 3 more authors

   In 2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS), 2021

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2. SenSys’21 Poster

   ECSRL: A Learning-Based Scheduling Framework for AI Workloads in Heterogeneous Edge-Cloud Systems

   Changyao Lin, Ziyang Zhang, Huan Li, and 1 more author

   In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021

   DOI PDF

2019

2019

1. Sensors’19

   Multi-sensor data fusion algorithm based on trust degree and improved genetics

   Guiling Sun, Ziyang Zhang, Bowen Zheng, and 1 more author

   Sensors, 2019

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