Shiqi Jiang

Senior Researcher

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Papiers de Collaboration

Afficher par:

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys'24) | June 2024

Publication

Autodroid: LLM-Powered Task Automation in Android

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

the 30th Annual International Conference on Mobile Computing and Networking (MobiCom'24) | May 2024

Publication
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

Ya Nan, Shiqi Jiang, Mo Li

ACM Transactions on Sensor Network | October 2023, Vol 20(1): pp. 1-23

Publication

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

The 21st International Conference on Mobile Systems, Applications, and Services (MobiSys ’23) | June 2023

Publication

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23)) | May 2023

Publication
Turbo: Opportunistic Enhancement for Edge Video Analytics

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022

Publication

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys'22) | June 2022

Publication
Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

The 27th Annual International Conference On Mobile Computing And Networking (MobiCom '21)) | October 2021

Publication
Profiling and optimizing deep learning inference on mobile GPUs

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '20) | August 2020

Publication

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys'24) | June 2024

Publication

Autodroid: LLM-Powered Task Automation in Android

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

the 30th Annual International Conference on Mobile Computing and Networking (MobiCom'24) | May 2024

Publication

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

Ya Nan, Shiqi Jiang, Mo Li

ACM Transactions on Sensor Network | October 2023, Vol 20(1): pp. 1-23

Publication

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23)) | May 2023

Publication

Turbo: Opportunistic Enhancement for Edge Video Analytics

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022

Publication

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys'22) | June 2022

Publication

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

The 27th Annual International Conference On Mobile Computing And Networking (MobiCom '21)) | October 2021

Publication

Profiling and optimizing deep learning inference on mobile GPUs

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '20) | August 2020

Publication
Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys'24) | June 2024

Publication

Autodroid: LLM-Powered Task Automation in Android

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

the 30th Annual International Conference on Mobile Computing and Networking (MobiCom'24) | May 2024

Publication

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

Ya Nan, Shiqi Jiang, Mo Li

ACM Transactions on Sensor Network | October 2023, Vol 20(1): pp. 1-23

Publication

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

The 21st International Conference on Mobile Systems, Applications, and Services (MobiSys ’23) | June 2023

Publication

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23)) | May 2023

Publication

Turbo: Opportunistic Enhancement for Edge Video Analytics

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022

Publication

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys'22) | June 2022

Publication

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

The 27th Annual International Conference On Mobile Computing And Networking (MobiCom '21)) | October 2021

Publication
Profiling and optimizing deep learning inference on mobile GPUs

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '20) | August 2020

Publication

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Fucheng Jia, Shiqi Jiang, Ting Cao, Wei Cui, Tianrui Xia, Xu Cao, Yuanchun Li, Qipeng Wang, Deyu Zhang, Ju Ren, Yunxin Liu, Lili Qiu, Mao Yang

the 22nd Annual International Conference on Mobile Systems, Applications and Services (MobiSys'24) | June 2024

Publication

Autodroid: LLM-Powered Task Automation in Android

Hao Wen, Yuanchun Li, Guohong Liu, Shanhui Zhao, Tao Yu, Toby Jia-Jun Li, Shiqi Jiang, Yunhao Liu, Yaqin Zhang, Yunxin Liu

the 30th Annual International Conference on Mobile Computing and Networking (MobiCom'24) | May 2024

Publication

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

Jianyu Wei, Ting Cao, Shijie Cao, Shiqi Jiang, Shaowei Fu, Mao Yang, Yanyong Zhang, Yunxin Liu

The 21st International Conference on Mobile Systems, Applications, and Services (MobiSys ’23) | June 2023

Publication

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Hao Wen, Yuanchun Li, Zunshuai Zhang, Shiqi Jiang, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang, Yunxin Liu

The 29th Annual International Conference On Mobile Computing And Networking (MobiCom'23)) | May 2023

Publication

Turbo: Opportunistic Enhancement for Edge Video Analytics

Yan Lu, Shiqi Jiang, Ting Cao, Yuanchao Shu

The 20th ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022

Publication

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Fucheng Jia, Deyu Zhang, Ting Cao, Shiqi Jiang, Yunxin Liu, Ju Ren, Yaoxue Zhang

Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys'22) | June 2022

Publication

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu

The 27th Annual International Conference On Mobile Computing And Networking (MobiCom '21)) | October 2021

Publication

Profiling and optimizing deep learning inference on mobile GPUs

Shiqi Jiang, Lihao Ran, Ting Cao, Yusen Xu, Yunxin Liu

Proceedings of the 11th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys '20) | August 2020

Publication
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

Ya Nan, Shiqi Jiang, Mo Li

ACM Transactions on Sensor Network | October 2023, Vol 20(1): pp. 1-23

Publication

Shiqi Jiang

Papiers de Collaboration

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Autodroid: LLM-Powered Task Automation in Android

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Turbo: Opportunistic Enhancement for Edge Video Analytics

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Profiling and optimizing deep learning inference on mobile GPUs

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Autodroid: LLM-Powered Task Automation in Android

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Turbo: Opportunistic Enhancement for Edge Video Analytics

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Profiling and optimizing deep learning inference on mobile GPUs

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Autodroid: LLM-Powered Task Automation in Android

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Turbo: Opportunistic Enhancement for Edge Video Analytics

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Profiling and optimizing deep learning inference on mobile GPUs

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations

Autodroid: LLM-Powered Task Automation in Android

NN-Stretch: Automatic Neural Network Branching for Parallel Inference on Heterogeneous Multi-Processors

AdaptiveNet: Post-deployment Neural Architecture Adaptation for Diverse Edge Environments

Turbo: Opportunistic Enhancement for Edge Video Analytics

CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices

Flexible High-resolution Object Detection on Edge Devices with Tunable Latency

Profiling and optimizing deep learning inference on mobile GPUs

Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning

Contact Shiqi Jiang

Microsoft Research Lab – Asia

Shiqi Jiang

Papiers de Collaboration

Publications par année

2024

2023

2022

2021

2020

Filtre par zone de recherche

Intelligence artificielle

Systémes et réseaux

Hardware and devices

Publication Type

Inproceedings (Conference)

Article (Journal)