FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices
Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu
International Conference on Mobile Computing and Networking (MobiCom ’24) | November 2024
Heterogeneous Extreme Computing (HEX) Group
出版物
年別出版物
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Anatomizing Deep Learning Inference in Web Browsers
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
ACM Transactions on Software Engineering and Methodology | August 2024
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
ISCA 2024 | July 2024
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-july-15-2024/
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
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
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’24) | April 2024
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores
Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang
The 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP ’24) | March 2024
Best paper award
-
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
Ya Nan, Shiqi Jiang, Mo Li
ACM Transactions on Sensor Network | October 2023, 巻20(1): pp. 1-23
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23) | October 2023
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-november-8-2023/
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
INTERSPEECH 2023 | August 2023
VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations
Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
IEEE Transactions on Computers | June 2023
Boosting DNN Cold Inference on Devices
Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
The 21st Annual International Conference on Mobile Systems, Applications and Services (MobiSys ’23) | June 2023
Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
Sixth Conference on Machine Learning and Systems (MLSys’23) | June 2023
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
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
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
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The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL
Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang
ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
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
MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras
Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Yuanchun Li, Ting Cao, Yaoxue Zhang, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | October 2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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
Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
HotMobile’22 | March 2022
Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs
Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | February 2022
2023 Top 100 Open Source Achievement Award
-
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices
Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
GetMobile: Mobile Computing and Communications | December 2021, 巻25(4): pp. 19-23
SigMobile Research Highlight
Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories
Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, Huimin Cui
ACM Transactions on Computer Systems | November 2021, 巻39(1-4): pp. 1-38
AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
The 27th Annual International Conference On Mobile Computing And Networking (MobiCom’21) | October 2021
Boosting Mobile CNN Inference through Semantic Memory
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Proceedings of the 29th ACM International Conference on Multimedia (ACM MM) | October 2021
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
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
発行:arXiv | August 2021
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks
Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
MLSys | April 2021
-
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
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
CVPRW (Joint Workshop on Efficient Deep Learning in Computer Vision) | June 2020
-
Panthera: Holistic Memory Management for Big Data Processing over Hybrid Memories
Chenxi Wang, Huimin Cui, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu
the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI’19) | June 2019
研究分野別論文
-
Anatomizing Deep Learning Inference in Web Browsers
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
ACM Transactions on Software Engineering and Methodology | August 2024
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
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
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
Ya Nan, Shiqi Jiang, Mo Li
ACM Transactions on Sensor Network | October 2023, 巻20(1): pp. 1-23
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
INTERSPEECH 2023 | August 2023
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
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL
Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang
ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
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
MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras
Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Yuanchun Li, Ting Cao, Yaoxue Zhang, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | October 2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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
Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
HotMobile’22 | March 2022
AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
The 27th Annual International Conference On Mobile Computing And Networking (MobiCom’21) | October 2021
Boosting Mobile CNN Inference through Semantic Memory
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Proceedings of the 29th ACM International Conference on Multimedia (ACM MM) | October 2021
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
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
発行:arXiv | August 2021
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks
Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
MLSys | April 2021
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
-
FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices
Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu
International Conference on Mobile Computing and Networking (MobiCom ’24) | November 2024
Anatomizing Deep Learning Inference in Web Browsers
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
ACM Transactions on Software Engineering and Methodology | August 2024
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
ISCA 2024 | July 2024
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-july-15-2024/
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
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
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’24) | April 2024
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores
Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang
The 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP ’24) | March 2024
Best paper award
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
Ya Nan, Shiqi Jiang, Mo Li
ACM Transactions on Sensor Network | October 2023, 巻20(1): pp. 1-23
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23) | October 2023
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-november-8-2023/
VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations
Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
IEEE Transactions on Computers | June 2023
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
Boosting DNN Cold Inference on Devices
Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
The 21st Annual International Conference on Mobile Systems, Applications and Services (MobiSys ’23) | June 2023
Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
Sixth Conference on Machine Learning and Systems (MLSys’23) | June 2023
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
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL
Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang
ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
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
MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras
Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Yuanchun Li, Ting Cao, Yaoxue Zhang, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | October 2022
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
Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
HotMobile’22 | March 2022
Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs
Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | February 2022
2023 Top 100 Open Source Achievement Award
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices
Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
GetMobile: Mobile Computing and Communications | December 2021, 巻25(4): pp. 19-23
SigMobile Research Highlight
Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories
Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, Huimin Cui
ACM Transactions on Computer Systems | November 2021, 巻39(1-4): pp. 1-38
AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
The 27th Annual International Conference On Mobile Computing And Networking (MobiCom’21) | October 2021
Boosting Mobile CNN Inference through Semantic Memory
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Proceedings of the 29th ACM International Conference on Multimedia (ACM MM) | October 2021
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
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
CVPRW (Joint Workshop on Efficient Deep Learning in Computer Vision) | June 2020
Panthera: Holistic Memory Management for Big Data Processing over Hybrid Memories
Chenxi Wang, Huimin Cui, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu
the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI’19) | June 2019
-
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
INTERSPEECH 2023 | August 2023
-
AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
The 27th Annual International Conference On Mobile Computing And Networking (MobiCom’21) | October 2021
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks
Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
MLSys | April 2021
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
種類別出版物
-
Anatomizing Deep Learning Inference in Web Browsers
Qipeng Wang, Shiqi Jiang, Zhenpeng Chen, Xu Cao, Yuanchun Li, Aoyu Li, Yun Ma, Ting Cao, Xuanzhe Liu
ACM Transactions on Software Engineering and Methodology | August 2024
Large-scale Video Analytics with Cloud–Edge Collaborative Continuous Learning
Ya Nan, Shiqi Jiang, Mo Li
ACM Transactions on Sensor Network | October 2023, 巻20(1): pp. 1-23
VSPIM: SRAM Processing-in-Memory DNN Acceleration via Vector-Scalar Operations
Chen Nie, Chenyu Tang, Jie Lin, Huan Hu, Chenyang Lv, Ting Cao, Weifeng Zhang, Li Jiang, Xiaoyao Liang, Weikang Qian, Yanan Sun, Zhezhi He
IEEE Transactions on Computers | June 2023
nn-METER: Towards Accurate Latency Prediction of DNN Inference on Diverse Edge Devices
Li Lyna Zhang, Shihao Han, Jianyu Wei, Ningxin Zheng, Ting Cao, Yuqing Yang, Yunxin Liu
GetMobile: Mobile Computing and Communications | December 2021, 巻25(4): pp. 19-23
SigMobile Research Highlight
Unified Holistic Memory Management Supporting Multiple Big Data Processing Frameworks over Hybrid Memories
Lei Chen, Jiacheng Zhao, Chenxi Wang, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu, Huimin Cui
ACM Transactions on Computer Systems | November 2021, 巻39(1-4): pp. 1-38
-
FlexNN: Efficient and Adaptive DNN Inference on Memory-Constrained Edge Devices
Xiangyu Li, Yuanchun Li, Yuanzhe Li, Ting Cao, Yunxin Liu
International Conference on Mobile Computing and Networking (MobiCom ’24) | November 2024
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Ranggi Hwang, Jianyu Wei, Shijie Cao, Changho Hwang, Xiaohu Tang, Ting Cao, Mao Yang
ISCA 2024 | July 2024
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-july-15-2024/
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
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
PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization
Cong Li, Zhe Zhou, Yang Wang, Fan Yang, Ting Cao, Mao Yang, Yun Liang, Guangyu Sun
29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS’24) | April 2024
ConvStencil: Transform Stencil Computation to Matrix Multiplication on Tensor Cores
Yuetao Chen, Kun Li, Yuhao Wang, Donglin Bai, Lei Wang, Lingxiao Ma, Liang Yuan, Yunquan Zhang, Ting Cao, Mao Yang
The 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP ’24) | March 2024
Best paper award
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
Xiaohu Tang, Yang Wang, Ting Cao, Li Lyna Zhang, Qi Chen, Deng Cai, Yunxin Liu, Mao Yang
The 29th Annual International Conference On Mobile Computing And Networking (MobiCom’23) | October 2023
Microsoft Research Focus https://jokerchen.me/en-us/research/blog/research-focus-week-of-november-8-2023/
Accurate and Structured Pruning for Efficient Automatic Speech Recognition
Huiqiang Jiang, Li Lyna Zhang, Yuang Li, Yu Wu, Shijie Cao, Ting Cao, Yuqing Yang, Jinyu Li, Mao Yang, Lili Qiu
INTERSPEECH 2023 | August 2023
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
Boosting DNN Cold Inference on Devices
Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
The 21st Annual International Conference on Mobile Systems, Applications and Services (MobiSys ’23) | June 2023
Efficient GPU Kernels for N:M-SPARSE Weights in Deep Learning
Bin Lin, Ningxin Zheng, Lei Wang, Shijie Cao, Lingxiao Ma, Quanlu Zhang, Yi Zhu, Ting Cao, Jilong Xue, Yuqing Yang, Fan Yang
Sixth Conference on Machine Learning and Systems (MLSys’23) | June 2023
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
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Chieh-Jan Mike Liang, Zilin Fang, Yuqing Xie, Fan Yang, Zhao Lucis Li, Li Lyna Zhang, Mao Yang, Lidong Zhou
NSDI (USENIX Symposium on Networked Systems Design and Implementation) | April 2023
The Case for Learning Machine Language
Guangda Liu, Chieh-Jan Mike Liang, Shijie Cao, Shuai Lu, Leendert van Doorn
ML for Systems at NeurIPS | December 2022
Hyperion: A Generic and Distributed Mobile Offloading Framework on OpenCL
Ziyan Fu, Ju Ren, Yunxin Liu, Ting Cao, Deyu Zhang, Yuezhi Zhou, Yaoxue Zhang
ACM Conference on Embedded Networked Sensor Systems (SenSys ’22) | November 2022
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
MobiDepth: Real-Time Depth Estimation Using On-Device Dual Cameras
Jinrui Zhang, Huan Yang, Ju Ren, Deyu Zhang, Bangwen He, Yuanchun Li, Ting Cao, Yaoxue Zhang, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | October 2022
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance
Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
ACM International Conference on Information and Knowledge Management (CIKM’22) | October 2022
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
Towards Efficient Vision Transformer Inference: A First Study of Transformers on Mobile Devices
Xudong Wang, Li Lyna Zhang, Yang Wang, Mao Yang
HotMobile’22 | March 2022
Romou: Rapidly Generate High-Performance Tensor Kernels for Mobile GPUs
Rendong Liang, Ting Cao, Jicheng Wen, Manni Wang, Yang Wang, Jianhua Zou, Yunxin Liu
The 28th Annual International Conference On Mobile Computing And Networking (MobiCom’22) | February 2022
2023 Top 100 Open Source Achievement Award
AsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
Manni Wang, Shaohua Ding, Ting Cao, Yunxin Liu, Fengyuan Xu
The 27th Annual International Conference On Mobile Computing And Networking (MobiCom’21) | October 2021
Boosting Mobile CNN Inference through Semantic Memory
Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Proceedings of the 29th ACM International Conference on Multimedia (ACM MM) | October 2021
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
To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks
Xiaohu Tang, Shihao Han, Li Lyna Zhang, Ting Cao, Yunxin Liu
MLSys | April 2021
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
Fast Hardware-Aware Neural Architecture Search
Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
CVPRW (Joint Workshop on Efficient Deep Learning in Computer Vision) | June 2020
Panthera: Holistic Memory Management for Big Data Processing over Hybrid Memories
Chenxi Wang, Huimin Cui, Ting Cao, John Zigman, Haris Volos, Onur Mutlu, Fang Lv, Xiaobing Feng, Guoqing Harry Xu
the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI’19) | June 2019
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AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
August 2021
発行:arXiv | August 2021