Changyao Lin

According to our database, Changyao Lin authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

E4: Energy-Efficient DNN Inference for Edge Video Analytics Via Early-Exit and DVFS.

Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu

CoRR, March, 2025

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

Changyao Lin, Zhenming Chen, Ziyang Zhang, Jie Liu

IEEE Trans. Parallel Distributed Syst., February, 2025

Exploiting Operator-Level Concurrency Control to Guide Deployment for Real-Time Tasks in Edge AI Cluster.

Changyao Lin, Ziyang Zhang, Jie Liu

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

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

Changyao Lin, Zhenming Chen, Ziyang Zhang, Jie Liu

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS.

Ziyang Zhang, Yang Zhao, Ming-Ching Chang, Changyao Lin, Jie Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Ziyang Zhang, Yang Zhao, Huan Li, Changyao Lin, Jie Liu

IEEE Trans. Mob. Comput., October, 2024

A QoS-Aware Training Framework for ViT Compression, Partition, and Distillation.

Changyao Lin, Chengxiang Li, Jie Liu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

COS: Cross-Processor Operator Scheduling for Multi-Tenant Deep Learning Inference.

Changyao Lin, Jie Liu

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Poster Abstract: Xpi: Real-Time Progressive Inference Serving with Explainable AI in Edge-Cloud Systems.

Changyao Lin, Zhenming Chen, Jie Liu

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

StressViT: Splitting and Compressing Vision Transformer Through Edge-Cloud Collaboration.

Changyao Lin, Yi Liu, Xiangyu Li, Chengxiang Li, Hao Zhang, Jing Jin, Jie Liu

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms.

Ziyang Zhang, Huan Li, Yang Zhao, Changyao Lin, Jie Liu

CoRR, 2023

POS: An Operator Scheduling Framework for Multi-model Inference on Edge Intelligent Computing.

Ziyang Zhang, Huan Li, Yang Zhao, Changyao Lin, Jie Liu

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

2021

Using Householder's method to improve the accuracy of the closed-form formulas for implied volatility.

Daniel Wei-Chung Miao, Xenos Chang-Shuo Lin, Changyao Lin

Math. Methods Oper. Res., 2021

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

Changyao Lin, Ziyang Zhang, Huan Li, Jie Liu

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

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

Ziyang Zhang, Feng Li, Changyao Lin, Shihui Wen, Xiangyu Liu, Jie Liu

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021