Yang Wang

Orcid: 0000-0001-7322-4062

Affiliations:
  • University of Electronic Science and Technology of China, MOE Key Laboratory of Optical Fiber Sensing and Communications, Chengdu, China


According to our database1, Yang Wang authored at least 14 papers between 2016 and 2024.

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Bibliography

2024
Toward CXL-Native Memory Tiering via Device-Side Profiling.
CoRR, 2024

Anubis: Towards Reliable Cloud AI Infrastructure via Proactive Validation.
CoRR, 2024

SuperBench: Improving Cloud AI Infrastructure Reliability with Proactive Validation.
Proceedings of the 2024 USENIX Annual Technical Conference, 2024

PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
LUT-NN: Towards Unified Neural Network Inference by Table Lookup.
CoRR, 2023

LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022
FlexMon: A flexible and fine-grained traffic monitor for programmable networks.
J. Netw. Comput. Appl., 2022

Joint optimization of dynamic resource allocation and packet scheduling for virtual switches in cognitive internet of vehicles.
EURASIP J. Adv. Signal Process., 2022

Towards efficient vision transformer inference: a first study of transformers on mobile devices.
Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute.
Proceedings of the 16th USENIX Symposium on Operating Systems Design and Implementation, 2022

2021
NeuralMon: Graph Neural Network for Flow Measurement Allocation.
Proceedings of the IEEE Global Communications Conference, 2021

2019
Low Complexity Hierarchical Scheduling for Diverse Datacenter Jobs.
IEEE Commun. Lett., 2019

2018
MOSC: a method to assign the outsourcing of service function chain across multiple clouds.
Comput. Networks, 2018

2016
Towards optimal outsourcing of service function chain across multiple clouds.
Proceedings of the 2016 IEEE International Conference on Communications, 2016


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