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2020 – today
- 2024
[j2]Ziyang Zhang
, Yang Zhao, Huan Li, Changyao Lin, Jie Liu:
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference. IEEE Trans. Mob. Comput. 23(10): 9042-9059 (2024)- [c7]Changyao Lin, Yi Liu, Xiangyu Li, Chengxiang Li, Hao Zhang, Jing Jin, Jie Liu:
StressViT: Splitting and Compressing Vision Transformer Through Edge-Cloud Collaboration. ICPR (5) 2024: 406-422 - [c6]Changyao Lin, Zhenming Chen, Jie Liu:
Poster Abstract: Xpi: Real-Time Progressive Inference Serving with Explainable AI in Edge-Cloud Systems. IPSN 2024: 273-274 - [c5]Changyao Lin, Jie Liu:
COS: Cross-Processor Operator Scheduling for Multi-Tenant Deep Learning Inference. IWQoS 2024: 1-10 - [c4]Changyao Lin, Chengxiang Li, Jie Liu:
A QoS-Aware Training Framework for ViT Compression, Partition, and Distillation. IWQoS 2024: 1-2 - 2023
- [c3]Ziyang Zhang, Huan Li, Yang Zhao, Changyao Lin, Jie Liu:
POS: An Operator Scheduling Framework for Multi-model Inference on Edge Intelligent Computing. IPSN 2023: 1 - [i2]Ziyang Zhang, Huan Li, Yang Zhao, Changyao Lin, Jie Liu:
BCEdge: SLO-Aware DNN Inference Services with Adaptive Batching on Edge Platforms. CoRR abs/2305.01519 (2023) - [i1]Ziyang Zhang, Yang Zhao, Huan Li, Changyao Lin, Jie Liu:
DVFO: Learning-Based DVFS for Energy-Efficient Edge-Cloud Collaborative Inference. CoRR abs/2306.01811 (2023) - 2021
- [j1]Daniel Wei-Chung Miao, Xenos Chang-Shuo Lin, Changyao Lin:
Using Householder's method to improve the accuracy of the closed-form formulas for implied volatility. Math. Methods Oper. Res. 94(3): 493-528 (2021) - [c2]Ziyang Zhang, Feng Li, Changyao Lin, Shihui Wen, Xiangyu Liu, Jie Liu:
Choosing Appropriate AI-enabled Edge Devices, Not the Costly Ones. ICPADS 2021: 201-208 - [c1]Changyao Lin, Ziyang Zhang, Huan Li, Jie Liu:
ECSRL: A Learning-Based Scheduling Framework for AI Workloads in Heterogeneous Edge-Cloud Systems. SenSys 2021: 386-387
Coauthor Index
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