Mengwei Xu

According to our database, Mengwei Xu authored at least 126 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Accelerating Mobile Language Model via Speculative Decoding and NPU-Coordinated Execution.

Zhiyang Chen, Daliang Xu, Haiyang Shen, Mengwei Xu, Shangguang Wang, Yun Ma

CoRR, October, 2025

From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations.

Tianze Huang, Qing Li, Chenren Xu, Mengwei Xu, Shangguang Wang, Gang Huang, Xuanzhe Liu

IEEE Trans. Mob. Comput., September, 2025

EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices.

Rongjie Yi, Liwei Guo, Shiyun Wei, Ao Zhou, Shangguang Wang, Mengwei Xu

IEEE Trans. Mob. Comput., August, 2025

Dynamic Sparse Attention on Mobile SoCs.

Wangsong Yin, Daliang Xu, Mengwei Xu, Gang Huang, Xuanzhe Liu

CoRR, August, 2025

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs.

Zhenyan Lu, Daliang Xu, Dongqi Cai, Zexi Li, Wei Liu, Fangming Liu, Shangguang Wang, Mengwei Xu

CoRR, June, 2025

MCPWorld: A Unified Benchmarking Testbed for API, GUI, and Hybrid Computer Use Agents.

Yunhe Yan, Shihe Wang, Jiajun Du, Yexuan Yang, Yuxuan Shan, Qichen Qiu, Xianqing Jia, Xinge Wang, Xin Yuan, Xu Han, Mao Qin, Yinxiao Chen, Chen Peng, Shangguang Wang, Mengwei Xu

CoRR, June, 2025

Resource-efficient Algorithms and Systems of Foundation Models: A Survey.

Mengwei Xu, Dongqi Cai, Wangsong Yin, Shangguang Wang, Xin Jin, Xuanzhe Liu

ACM Comput. Surv., May, 2025

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades.

Yanan Li, Fanxu Meng, Muhan Zhang, Shiai Zhu, Shangguang Wang, Mengwei Xu

CoRR, May, 2025

UIShift: Enhancing VLM-based GUI Agents through Self-supervised Reinforcement Learning.

Longxi Gao, Li Zhang, Mengwei Xu

CoRR, May, 2025

EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding.

Daliang Xu, Wangsong Yin, Hao Zhang, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu

IEEE Trans. Mob. Comput., April, 2025

A Collaborative Cloud-Edge Approach for Robust Edge Workload Forecasting.

Yanan Li, Penghong Zhao, Xiao Ma, Haitao Yuan, Zhe Fu, Mengwei Xu, Shangguang Wang

IEEE Trans. Mob. Comput., April, 2025

Rethinking Cost-Efficient VM Scheduling on Public Edge Platforms: A Service Provider's Perspective.

Yanan Li, Xiao Ma, Zhe Fu, Ao Zhou, Mengwei Xu, Shangguang Wang

IEEE Trans. Mob. Comput., March, 2025

Does Chain-of-Thought Reasoning Help Mobile GUI Agent? An Empirical Study.

Li Zhang, Longxi Gao, Mengwei Xu

CoRR, March, 2025

Every Software as an Agent: Blueprint and Case Study.

Mengwei Xu

CoRR, February, 2025

FedCLR+: Tackling Onboard Label Constraints for Accurate Federated Satellite Computing.

Chen Yang, Qiyang Zhang, Qibo Sun, Shufeng Ouyang, Ao Zhou, Shangguang Wang, Mengwei Xu

IEEE Trans. Serv. Comput., 2025

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents.

Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Scout: Tailored Collaborative Workload Forecasting for Multi-Tenant Edge Cloud Platforms.

Yuting Li, Shaoyuan Huang, Tengwen Zhang, Chao Qiu, Mengwei Xu, Cheng Zhang, Xiaofei Wang

Proceedings of the IEEE International Conference on Communications, 2025

GUI-Xplore: Empowering Generalizable GUI Agents with One Exploration.

Yuchen Sun, Shanhui Zhao, Tao Yu, Hao Wen, Samith Va, Mengwei Xu, Yuanchun Li, Chongyang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Fast On-device LLM Inference with NPUs.

Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Gang Huang, Mengwei Xu, Xuanzhe Liu

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

Demystifying Small Language Models for Edge Deployment.

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu, Jian Luan, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Efficient, Scalable, and Sustainable DNN Training on SoC-Clustered Edge Servers.

Mengwei Xu, Daliang Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu

IEEE Trans. Mob. Comput., December, 2024

Accelerating Vertical Federated Learning.

Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang

IEEE Trans. Big Data, December, 2024

Communication-Efficient Satellite-Ground Federated Learning Through Progressive Weight Quantization.

Chen Yang, Jinliang Yuan, Yaozong Wu, Qibo Sun, Ao Zhou, Shangguang Wang, Mengwei Xu

IEEE Trans. Mob. Comput., September, 2024

Benchmarking Mobile Deep Learning Software.

Qiyang Zhang, Mengwei Xu

GetMobile Mob. Comput. Commun., September, 2024

Seamless Cross-Edge Service Migration for Real-Time Rendering Applications.

Yuanzhe Li, Shangguang Wang, Yuanchun Li, Ao Zhou, Mengwei Xu, Xiao Ma, Yunxin Liu

IEEE Trans. Mob. Comput., June, 2024

A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection.

Qiyang Zhang, Xiangying Che, Yijie Chen, Xiao Ma, Mengwei Xu, Schahram Dustdar, Xuanzhe Liu, Shangguang Wang

IEEE Trans. Mob. Comput., May, 2024

FLASH: Heterogeneity-Aware Federated Learning at Scale.

Chengxu Yang, Mengwei Xu, Qipeng Wang, Zhenpeng Chen, Kang Huang, Yun Ma, Kaigui Bian, Gang Huang, Yunxin Liu, Xin Jin, Xuanzhe Liu

IEEE Trans. Mob. Comput., January, 2024

Toward Efficient Satellite Computing Through Adaptive Compression.

Chen Yang, Qibo Sun, Qiyang Zhang, Hao Lu, Claudio A. Ardagna, Shangguang Wang, Mengwei Xu

IEEE Trans. Serv. Comput., 2024

Tango: Harmonious Optimization for Mixed Services in Kubernetes-Based Edge Clouds.

Shihao Shen, Yicheng Feng, Mengwei Xu, Yuanming Ren, Xiaofei Wang, Victor C. M. Leung, Wenyu Wang

IEEE Trans. Serv. Comput., 2024

Large-Scale Measurements and Optimizations on Latency in Edge Clouds.

Heng Zhang, Shaoyuan Huang, Mengwei Xu, Deke Guo, Xiaofei Wang, Xin Wang, Victor C. M. Leung, Wenyu Wang

IEEE Trans. Cloud Comput., 2024

DroidCall: A Dataset for LLM-powered Android Intent Invocation.

Weikai Xie, Li Zhang, Shihe Wang, Rongjie Yi, Mengwei Xu

CoRR, 2024

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training.

Rongjie Yi, Xiang Li, Weikai Xie, Zhenyan Lu, Chenghua Wang, Ao Zhou, Shangguang Wang, Xiwen Zhang, Mengwei Xu

CoRR, 2024

Small Language Models: Survey, Measurements, and Insights.

Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu

CoRR, 2024

Recall: Empowering Multimodal Embedding for Edge Devices.

Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Mengwei Xu

CoRR, 2024

MobileViews: A Large-Scale Mobile GUI Dataset.

Longxi Gao, Li Zhang, Shihe Wang, Shangguang Wang, Yuanchun Li, Mengwei Xu

CoRR, 2024

ELMS: Elasticized Large Language Models On Mobile Devices.

Wangsong Yin, Rongjie Yi, Daliang Xu, Gang Huang, Mengwei Xu, Xuanzhe Liu

CoRR, 2024

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts.

Hanzi Mei, Dongqi Cai, Ao Zhou, Shangguang Wang, Mengwei Xu

CoRR, 2024

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation.

Li Zhang, Shihe Wang, Xianqing Jia, Zhihan Zheng, Yunhe Yan, Longxi Gao, Yuanchun Li, Mengwei Xu

CoRR, 2024

LLM as a System Service on Mobile Devices.

Wangsong Yin, Mengwei Xu, Yuanchun Li, Xuanzhe Liu

CoRR, 2024

A First Look at GPT Apps: Landscape and Vulnerability.

Zejun Zhang, Li Zhang, Xin Yuan, Anlan Zhang, Mengwei Xu, Feng Qian

CoRR, 2024

Lightweight Protection for Privacy in Offloaded Speech Understanding.

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2024

A Survey of Resource-efficient LLM and Multimodal Foundation Models.

Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu

CoRR, 2024

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, Rui Kong, Yile Wang, Hanfei Geng, Jian Luan, Xuefeng Jin, Zilong Ye, Guanjing Xiong, Fan Zhang, Xiang Li, Mengwei Xu, Zhijun Li, Peng Li, Yang Liu, Ya-Qin Zhang, Yunxin Liu

CoRR, 2024

Towards Energy-efficient Federated Learning via INT8-based Training on Mobile DSPs.

Jinliang Yuan, Shangguang Wang, Hongyu Li, Daliang Xu, Yuanchun Li, Mengwei Xu, Xuanzhe Liu

Proceedings of the ACM on Web Conference 2024, 2024

High-density Mobile Cloud Gaming on Edge SoC Clusters.

Li Zhang, Shangguang Wang, Mengwei Xu

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs.

Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.

Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

An Empirical Study of Rust-for-Linux: The Success, Dissatisfaction, and Compromise.

Hongyu Li, Liwei Guo, Yexuan Yang, Shangguang Wang, Mengwei Xu

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation.

Li Zhang, Shihe Wang, Xianqing Jia, Zhihan Zheng, Yunhe Yan, Longxi Gao, Yuanchun Li, Mengwei Xu

Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks.

Wangsong Yin, Daliang Xu, Gang Huang, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Exploring Real-Time Satellite Computing: From Energy and Thermal Perspectives.

Qing Li, Shangguang Wang, Chenren Xu, Xiao Ma, Mengwei Xu, Ao Zhou, Ruolin Xing, Boyuan Yang, Zuo Zhu, Ying Zhang, Xuanzhe Liu

Proceedings of the IEEE Real-Time Systems Symposium, 2024

SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices.

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Poster: Efficient and Accurate Mobile Task Automation through Learning from Code.

Shihe Wang, Li Zhang, Mengwei Xu

Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Mobile Foundation Model as Firmware.

Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis.

Ruolin Xing, Mengwei Xu, Ao Zhou, Qing Li, Yiran Zhang, Feng Qian, Shangguang Wang

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

Resource-efficient In-orbit Detection of Earth Objects.

Qiyang Zhang, Xin Yuan, Ruolin Xing, Yiran Zhang, Zimu Zheng, Xiao Ma, Mengwei Xu, Schahram Dustdar, Shangguang Wang

Proceedings of the IEEE INFOCOM 2024, 2024

Flexible LAN-WAN Orchestration for Communication Efficient Federated Learning over Large-Scale Mobile Devices.

Jinliang Yuan, Qing Li, Fan Dang, Xiaofang Mu, Hui Qi, Mengwei Xu, Shangguang Wang

Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission.

Zeling Zhang, Dongqi Cai, Yiran Zhang, Mengwei Xu, Shangguang Wang, Ao Zhou

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

WiP: Efficient LLM Prefilling with Mobile NPU.

Daliang Xu, Hao Zhang, Liming Yang, Ruiqi Liu, Mengwei Xu, Xuanzhe Liu

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.

Xiang Li, Zhenyan Lu, Dongqi Cai, Xiao Ma, Mengwei Xu

Proceedings of the Workshop on Edge and Mobile Foundation Models, 2024

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers.

Daliang Xu, Mengwei Xu, Chiheng Lou, Li Zhang, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

5G Edge Computing - Technologies, Applications and Future Visions

Xiao Ma, Mengwei Xu, Qing Li, Yuanzhe Li, Ao Zhou, Shangguang Wang

Springer, ISBN: 978-981-97-0212-1, 2024

2023

Demystifying the QoS and QoE of Edge-hosted Video Streaming Applications in the Wild with SNESet.

Yanan Li, Guangqing Deng, Changming Bai, Jingyu Yang, Gang Wang, Hao Zhang, Jin Bai, Haitao Yuan, Mengwei Xu, Shangguang Wang

Proc. ACM Manag. Data, December, 2023

A large-scale holistic measurement of crowdsourced edge cloud platform.

Yicheng Feng, Shihao Shen, Mengwei Xu, Cheng Zhang, Xin Wang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung

World Wide Web (WWW), September, 2023

The First Verification Test of Space-Ground Collaborative Intelligence via Cloud-Native Satellites.

Shangguang Wang, Qiyang Zhang, Ruolin Xing, Fei Qi, Mengwei Xu

CoRR, 2023

LLMCad: Fast and Scalable On-device Large Language Model Inference.

Daliang Xu, Wangsong Yin, Xin Jin, Ying Zhang, Shiyun Wei, Mengwei Xu, Xuanzhe Liu

CoRR, 2023

Rethinking Mobile AI Ecosystem in the LLM Era.

Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu

CoRR, 2023

EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models.

Rongjie Yi, Liwei Guo, Shiyun Wei, Ao Zhou, Shangguang Wang, Mengwei Xu

CoRR, 2023

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.

Mengwei Xu, Yaozong Wu, Dongqi Cai, Xiang Li, Shangguang Wang

CoRR, 2023

A Comprehensive Survey on Orbital Edge Computing: Systems, Applications, and Algorithms.

Changhao Wu, Yuanchun Li, Mengwei Xu, Chongbin Guo, Zengshan Yin, Weiwei Gao, Chuanxiu Chi

CoRR, 2023

ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning.

Yanan Li, Haitao Yuan, Zhe Fu, Xiao Ma, Mengwei Xu, Shangguang Wang

Proceedings of the ACM Web Conference 2023, 2023

Boosting DNN Cold Inference on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Federated Few-Shot Learning for Mobile NLP.

Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Efficient Federated Learning for Modern NLP.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

How Far Have Edge Clouds Gone? A Spatial-Temporal Analysis of Edge Network Latency In the Wild.

Heng Zhang, Shaoyuan Huang, Mengwei Xu, Deke Guo, Xiaofei Wang, Victor C. M. Leung, Wenyu Wang

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

A Holistic QoS View of Crowdsourced Edge Cloud Platform.

Shihao Shen, Yicheng Feng, Mengwei Xu, Cheng Zhang, Xiaofei Wang, Wenyu Wang, Victor C. M. Leung

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Evaluating and Enhancing the Robustness of Federated Learning System against Realistic Data Corruption.

Chen Yang, Yuanchun Li, Hao Lu, Jinliang Yuan, Qibo Sun, Shangguang Wang, Mengwei Xu

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Privacy as a Resource in Differentially Private Federated Learning.

Jinliang Yuan, Shangguang Wang, Shihe Wang, Yuanchun Li, Xiao Ma, Ao Zhou, Mengwei Xu

Proceedings of the IEEE INFOCOM 2023, 2023

Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors.

Daliang Xu, Qing Li, Mengwei Xu, Kang Huang, Gang Huang, Shangguang Wang, Xin Jin, Yun Ma, Xuanzhe Liu

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

Tango: Harmonious Management and Scheduling for Mixed Services Co-located among Distributed Edge-Clouds.

Yicheng Feng, Shihao Shen, Mengwei Xu, Yuanming Ren, Xiaofei Wang, Victor C. M. Leung, Wenyu Wang

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Towards Practical Few-shot Federated NLP.

Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

FedAdapter: Efficient Federated Learning for Mobile NLP.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Mengwei Xu

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

2022

SoC-Cluster as an Edge Server: an Application-driven Measurement Study.

Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Chen, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

CoRR, 2022

Federated NLP in Few-shot Scenarios.

Dongqi Cai, Shangguang Wang, Yaozong Wu, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts.

Dongqi Cai, Yaozong Wu, Haitao Yuan, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022

Device-centric Federated Analytics At Ease.

Li Zhang, Junji Qiu, Shangguang Wang, Mengwei Xu

CoRR, 2022

Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading.

Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Guang Huang, Xin Jin, Xuanzhe Liu

CoRR, 2022

Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices.

Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu

CoRR, 2022

AutoFedNLP: An efficient FedNLP framework.

Dongqi Cai, Yaozong Wu, Shangguang Wang, Felix Xiaozhu Lin, Mengwei Xu

CoRR, 2022

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.

Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing.

Sisi Li, Ao Zhou, Xiao Ma, Mengwei Xu, Shangguang Wang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Towards Robust Intelligence in Space.

Xin Yuan, Ruolin Xing, Shangguang Wang, Mengwei Xu

Proceedings of the IEEE Smartworld, 2022

Melon: breaking the memory wall for resource-efficient on-device machine learning.

Qipeng Wang, Mengwei Xu, Chao Jin, Xinran Dong, Jinliang Yuan, Xin Jin, Gang Huang, Yunxin Liu, Xuanzhe Liu

Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022

Mandheling: mixed-precision on-device DNN training with DSP offloading.

Daliang Xu, Mengwei Xu, Qipeng Wang, Shangguang Wang, Yun Ma, Kang Huang, Gang Huang, Xin Jin, Xuanzhe Liu

Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022

Position Paper: Renovating Edge Servers with ARM SoCs.

Mengwei Xu, Li Zhang, Shangguang Wang

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

A Case for Camera-as-a-Service.

Mengwei Xu, Yunxin Liu, Xuanzhe Liu

IEEE Pervasive Comput., 2021

Joint Placement of UPF and Edge Server for 6G Network.

Yuanzhe Li, Xiao Ma, Mengwei Xu, Ao Zhou, Qibo Sun, Ning Zhang, Shangguang Wang

IEEE Internet Things J., 2021

Autonomous Learning System Towards Mobile Intelligence.

Mengwei Xu, Yuanqiang Liu, Kang Huang, Xuanzhe Liu, Gang Huang

Int. J. Softw. Informatics, 2021

Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data.

Chengxu Yang, Qipeng Wang, Mengwei Xu, Zhenpeng Chen, Kaigui Bian, Yunxin Liu, Xuanzhe Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

Video Analytics with Zero-streaming Cameras.

Mengwei Xu, Tiantu Xu, Yunxin Liu, Felix Xiaozhu Lin

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation.

Chengxu Yang, Yuanchun Li, Mengwei Xu, Zhenpeng Chen, Yunxin Liu, Gang Huang, Xuanzhe Liu

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance.

Dongqi Cai, Qipeng Wang, Yuanqiang Liu, Yunxin Liu, Shangguang Wang, Mengwei Xu

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 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 MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

From cloud to edge: a first look at public edge platforms.

Mengwei Xu, Zhe Fu, Xiao Ma, Li Zhang, Yanan Li, Feng Qian, Shangguang Wang, Ke Li, Jingyu Yang, Xuanzhe Liu

Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

Tiansuan Constellation: An Open Research Platform.

Shangguang Wang, Qing Li, Mengwei Xu, Xiao Ma, Ao Zhou, Qibo Sun

Proceedings of the IEEE International Conference on Edge Computing, 2021

2020

DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning.

Mengwei Xu, Feng Qian, Mengze Zhu, Feifan Huang, Saumay Pushp, Xuanzhe Liu

IEEE Trans. Mob. Comput., 2020

Hierarchical Federated Learning through LAN-WAN Orchestration.

Jinliang Yuan, Mengwei Xu, Xiao Ma, Ao Zhou, Xuanzhe Liu, Shangguang Wang

CoRR, 2020

Heterogeneity-Aware Federated Learning.

Chengxu Yang, Qipeng Wang, Mengwei Xu, Shangguang Wang, Kaigui Bian, Xuanzhe Liu

CoRR, 2020

Neural Architecture Search over Decentralized Data.

Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Qiaozhu Mei, Xuanzhe Liu

CoRR, 2020

Approximate query service on autonomous IoT cameras.

Mengwei Xu, Xiwen Zhang, Yunxin Liu, Gang Huang, Xuanzhe Liu, Felix Xiaozhu Lin

Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

A query engine for zero-streaming cameras.

Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

2019

MUIT: A Domain-Specific Language and its Middleware for Adaptive Mobile Web-Based User Interfaces in WS-BPEL.

Xuanzhe Liu, Mengwei Xu, Teng Teng, Gang Huang, Hong Mei

IEEE Trans. Serv. Comput., 2019

Approximate Query Processing on Autonomous Cameras.

Mengwei Xu, Xiwen Zhang, Yunxin Liu, Xuanzhe Liu, Felix Xiaozhu Lin

CoRR, 2019

Supporting Video Queries on Zero-Streaming Cameras.

Mengwei Xu, Tiantu Xu, Yunxin Liu, Xuanzhe Liu, Gang Huang, Felix Xiaozhu Lin

CoRR, 2019

A First Look at Deep Learning Apps on Smartphones.

Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu

Proceedings of the World Wide Web Conference, 2019

2018

DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern.

Mengwei Xu, Feng Qian, Qiaozhu Mei, Kang Huang, Xuanzhe Liu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

PrivacyShield: A Mobile System for Supporting Subtle Just-in-time Privacy Provisioning through Off-Screen-based Touch Gestures.

Saumay Pushp, Yunxin Liu, Mengwei Xu, Changyoung Koh, Junehwa Song

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning.

Mengwei Xu, Jiawei Liu, Yuanqiang Liu, Felix Xiaozhu Lin, Yunxin Liu, Xuanzhe Liu

CoRR, 2018

DeepCache: Principled Cache for Mobile Deep Vision.

Mengwei Xu, Mengze Zhu, Yunxin Liu, Felix Xiaozhu Lin, Xuanzhe Liu

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Using Touch-screen Gestures for Just-in-time Privacy Provisioning.

Saumay Pushp, Yunxin Liu, Mengwei Xu, Junehwa Song

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Power sandbox: power awareness redefined.

Liwei Guo, Tiantu Xu, Mengwei Xu, Xuanzhe Liu, Felix Xiaozhu Lin

Proceedings of the Thirteenth EuroSys Conference, 2018

2017

ShuffleDog: Characterizing and Adapting User-Perceived Latency of Android Apps.

Gang Huang, Mengwei Xu, Felix Xiaozhu Lin, Yunxin Liu, Yun Ma, Saumay Pushp, Xuanzhe Liu

IEEE Trans. Mob. Comput., 2017

Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones.

Mengwei Xu, Feng Qian, Saumay Pushp

CoRR, 2017

Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse.

Mengwei Xu, Xuanzhe Liu, Yunxin Liu, Felix Xiaozhu Lin

CoRR, 2017

AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets.

Mengwei Xu, Yun Ma, Xuanzhe Liu, Felix Xiaozhu Lin, Yunxin Liu

Proceedings of the 26th International Conference on World Wide Web, 2017

2016

MUIT: A Middleware for Adaptive Mobile Web-based User Interfaces in WS-BPEL.

Xuanzhe Liu, Mengwei Xu, Gang Huang, Teng Teng, Zibin Zheng, Hong Mei

CoRR, 2016