Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
IEEE Transactions on Mobile Computing | April 2025, pp. 1-18
Publications
Publications by Year
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Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
March 2025
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’25) | February 2025
-
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
October 2024
AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
IEEE Transactions on Mobile Computing | October 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
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, Vol 20(1): pp. 1-23
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
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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
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
-
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
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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
Publications by Research Area
-
Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
IEEE Transactions on Mobile Computing | April 2025, pp. 1-18
Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
March 2025
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’25) | February 2025
AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
IEEE Transactions on Mobile Computing | October 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
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, Vol 20(1): pp. 1-23
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
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
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
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
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
-
Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
March 2025
-
Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
IEEE Transactions on Mobile Computing | April 2025, pp. 1-18
Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
March 2025
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’25) | February 2025
AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
IEEE Transactions on Mobile Computing | October 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
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, Vol 20(1): pp. 1-23
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
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
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
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
-
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’25) | February 2025
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
October 2024
-
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
Publications by Type
-
Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment
Gaole Dai, Shiqi Jiang, Ting Cao, Yuanchun Li, Yuqing Yang, Rui Tan, Mo Li, Lili Qiu
March 2025
-
Efficient and Adaptive Diffusion Model Inference Through Lookup Table on Mobile Devices
Qipeng Wang, Shiqi Jiang, Yifan Yang, Ruiqi Liu, Yuanchun Li, Ting Cao, Xuanzhe Liu
IEEE Transactions on Mobile Computing | April 2025, pp. 1-18
AdaWiFi, Collaborative WiFi Sensing for Cross-Environment Adaptation
Naiyu Zheng, Yuanchun Li, Shiqi Jiang, Yuanzhe Li, Rongchun Yao, Chuchu Dong
IEEE Transactions on Mobile Computing | October 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
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
-
Babel: A Scalable Pre-trained Model for Multi-Modal Sensing via Expandable Modality Alignment
Shenghong Dai, Shiqi Jiang, Yifan Yang, Ting Cao, Mo Li, Suman Banerjee, Lili Qiu
The 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys ’25) | February 2025
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
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
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
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
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
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
-
Making Every Frame Matter: Continuous Video Understanding for Large Models via Adaptive State Modeling
Hao Wu, Donglin Bai, Shiqi Jiang, Qianxi Zhang, Yifan Yang, Ting Cao, Fengyuan Xu
October 2024