Jiexiong Guan

Orcid: 0000-0001-5274-9169

According to our database1, Jiexiong Guan authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Real-Time Segmentation on the Edge.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

Towards Socially Acceptable Food Type Recognition.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

GCD<sup>2</sup>: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Real-Time Portrait Stylization on the Edge.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card.
CoRR, 2021

DNNFusion: accelerating deep neural networks execution with advanced operator fusion.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Compression-Compilation Framework for On-mobile Real-time BERT Applications.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.
CoRR, 2020

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
CoRR, 2020


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