Solving semi-infinite programs by smoothing projected gradient method. - Mengwei Xu; Soon-Yi Wu; Jane J. Ye (Comput. Optim. Appl., 2014)

A smoothing augmented Lagrangian method for solving simple bilevel programs. - Mengwei Xu; Jane J. Ye (Comput. Optim. Appl., 2014)

On solving simple bilevel programs with a nonconvex lower level program. - Gui-Hua Lin; Mengwei Xu; Jane J. Ye (Math. Program., 2014)

Smoothing augmented Lagrangian method for nonsmooth constrained optimization problems. - Mengwei Xu; Jane J. Ye; Liwei Zhang (J. Glob. Optim., 2015)

Smoothing SQP Methods for Solving Degenerate Nonsmooth Constrained Optimization Problems with Applications to Bilevel Programs. - Mengwei Xu; Jane J. Ye; Liwei Zhang (SIAM J. Optim., 2015)

MUIT: A Middleware for Adaptive Mobile Web-based User Interfaces in WS-BPEL. - Xuanzhe Liu; Mengwei Xu; Gang Huang 001; Teng Teng; Zibin Zheng; Hong Mei 001 (CoRR, 2016)

AppHolmes: Detecting and Characterizing App Collusion among Third-Party Android Markets. - Mengwei Xu; Yun Ma 002; Xuanzhe Liu; Felix Xiaozhu Lin; Yunxin Liu 001 (WWW, 2017)

Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse. - Mengwei Xu; Xuanzhe Liu; Yunxin Liu 001; Felix Xiaozhu Lin (CoRR, 2017)

Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones. - Mengwei Xu; Feng Qian 001; Saumay Pushp (CoRR, 2017)

ShuffleDog: Characterizing and Adapting User-Perceived Latency of Android Apps. - Gang Huang 001; Mengwei Xu; Felix Xiaozhu Lin; Yunxin Liu 001; Yun Ma 002; Saumay Pushp; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2017)

Power sandbox: power awareness redefined. - Liwei Guo; Tiantu Xu; Mengwei Xu; Xuanzhe Liu; Felix Xiaozhu Lin (EuroSys, 2018)

Using Touch-screen Gestures for Just-in-time Privacy Provisioning. - Saumay Pushp; Yunxin Liu; Mengwei Xu; Junehwa Song (UbiComp/ISWC Adjunct, 2018)

A Framework for Plan Library Evolution in BDI Agent Systems. - Mengwei Xu; Kim Bauters; Kevin McAreavey; Weiru Liu (ICTAI, 2018)

DeepCache: Principled Cache for Mobile Deep Vision. - Mengwei Xu; Mengze Zhu; Yunxin Liu 001; Felix Xiaozhu Lin; Xuanzhe Liu (MobiCom, 2018)

A Formal Approach to Embedding First-Principles Planning in BDI Agent Systems. - Mengwei Xu; Kim Bauters; Kevin McAreavey; Weiru Liu (SUM, 2018)

Quantitative Stability of Two-Stage Linear Second-Order Conic Stochastic Programs with Full Random Recourse. - Qingsong Duan; Mengwei Xu; Shaoyan Guo; Liwei Zhang (Asia Pac. J. Oper. Res., 2018)

When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (CoRR, 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)

DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. - Mengwei Xu; Feng Qian 001; Qiaozhu Mei; Kang Huang; Xuanzhe Liu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Intention Interleaving Via Classical Replanning. - Mengwei Xu; Kevin McAreavey; Kim Bauters; Weiru Liu (ICTAI, 2019)

A First Look at Deep Learning Apps on Smartphones. - Mengwei Xu; Jiawei Liu; Yuanqiang Liu; Felix Xiaozhu Lin; Yunxin Liu 001; Xuanzhe Liu (WWW, 2019)

Supporting Video Queries on Zero-Streaming Cameras. - Mengwei Xu; Tiantu Xu; Yunxin Liu 001; Xuanzhe Liu; Gang Huang 001; Felix Xiaozhu Lin (CoRR, 2019)

Approximate Query Processing on Autonomous Cameras. - Mengwei Xu; Xiwen Zhang; Yunxin Liu 001; Xuanzhe Liu; Felix Xiaozhu Lin (CoRR, 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 001; Hong Mei 001 (IEEE Trans. Serv. Comput., 2019)

A query engine for zero-streaming cameras. - Mengwei Xu; Tiantu Xu; Yunxin Liu 001; Xuanzhe Liu; Gang Huang 001; Felix Xiaozhu Lin (MobiCom, 2020)

Approximate query service on autonomous IoT cameras. - Mengwei Xu; Xiwen Zhang; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu; Felix Xiaozhu Lin (MobiSys, 2020)

Neural Architecture Search over Decentralized Data. - Mengwei Xu; Yuxin Zhao; Kaigui Bian; Gang Huang 001; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2020)

Heterogeneity-Aware Federated Learning. - Chengxu Yang; Qipeng Wang; Mengwei Xu; Shangguang Wang; Kaigui Bian; Xuanzhe Liu (CoRR, 2020)

Hierarchical Federated Learning through LAN-WAN Orchestration. - Jinliang Yuan; Mengwei Xu; Xiao Ma 009; Ao Zhou 001; Xuanzhe Liu; Shangguang Wang (CoRR, 2020)

Relaxed constant positive linear dependence constraint qualification and its application to bilevel programs. - Mengwei Xu; Jane J. Ye (J. Glob. Optim., 2020)

DeepWear: Adaptive Local Offloading for On-Wearable Deep Learning. - Mengwei Xu; Feng Qian 001; Mengze Zhu; Feifan Huang; Saumay Pushp; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2020)

Extending BDI agents with robust program execution, adaptive plan library, and efficient intention progression. - Mengwei Xu (2020)

Tiansuan Constellation: An Open Research Platform. - Shangguang Wang; Qing Li 028; Mengwei Xu; Xiao Ma 009; Ao Zhou 001; Qibo Sun (EDGE, 2021)

From cloud to edge: a first look at public edge platforms. - Mengwei Xu; Zhe Fu; Xiao Ma 009; Li Zhang 133; Yanan Li; Feng Qian 001; Shangguang Wang; Ke Li; Jingyu Yang; Xuanzhe Liu (Internet Measurement Conference, 2021)

Boosting Mobile CNN Inference through Semantic Memory. - Yun Li; Chen Zhang 001; Shihao Han; Li Lyna Zhang; Baoqun Yin; Yunxin Liu 001; Mengwei Xu (ACM Multimedia, 2021)

Towards Ubiquitous Learning: A First Measurement of On-Device Training Performance. - Dongqi Cai 001; Qipeng Wang; Yuanqiang Liu; Yunxin Liu 001; Shangguang Wang; Mengwei Xu (EMDL@MobiSys, 2021)

Probabilistic BDI Agents: Actions, Plans, and Intentions. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (SEFM, 2021)

TaintStream: fine-grained taint tracking for big data platforms through dynamic code translation. - Chengxu Yang; Yuanchun Li; Mengwei Xu; Zhenpeng Chen; Yunxin Liu 001; Gang Huang 001; Xuanzhe Liu (ESEC/SIGSOFT FSE, 2021)

Video Analytics with Zero-streaming Cameras. - Mengwei Xu; Tiantu Xu; Yunxin Liu; Felix Xiaozhu Lin (USENIX ATC, 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 001; Xuanzhe Liu (WWW, 2021)

Observable and Attention-Directing BDI Agents for Human-Autonomy Teaming. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (FMAS, 2021)

Autonomous Learning System Towards Mobile Intelligence. - Mengwei Xu; Yuanqiang Liu; Kang Huang; Xuanzhe Liu; Gang Huang 001 (Int. J. Softw. Informatics, 2021)

Joint Placement of UPF and Edge Server for 6G Network. - Yuanzhe Li; Xiao Ma 009; Mengwei Xu; Ao Zhou 001; Qibo Sun; Ning Zhang 007; Shangguang Wang (IEEE Internet Things J., 2021)

A Case for Camera-as-a-Service. - Mengwei Xu; Yunxin Liu 001; Xuanzhe Liu (IEEE Pervasive Comput., 2021)

Position Paper: Renovating Edge Servers with ARM SoCs. - Mengwei Xu; Li Zhang 133; Shangguang Wang (SEC, 2022)

Mandheling: mixed-precision on-device DNN training with DSP offloading. - Daliang Xu; Mengwei Xu; Qipeng Wang; Shangguang Wang; Yun Ma 002; Kang Huang; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (MobiCom, 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 008; Gang Huang 001; Yunxin Liu 001; Xuanzhe Liu (MobiSys, 2022)

Verifying BDI Agents in Dynamic Environments. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (SEKE, 2022)

Towards Robust Intelligence in Space. - Xin Yuan; Ruolin Xing; Shangguang Wang; Mengwei Xu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Commutativity-guaranteed Docker Image Reconstruction towards Effective Layer Sharing. - Sisi Li; Ao Zhou 001; Xiao Ma 009; Mengwei Xu; Shangguang Wang (WWW, 2022)

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. - Qiyang Zhang; Xiang Li 067; Xiangying Che; Xiao Ma 009; Ao Zhou 001; Mengwei Xu; Shangguang Wang; Yun Ma 002; Xuanzhe Liu (WWW, 2022)

AutoFedNLP: An efficient FedNLP framework. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices. - Rongjie Yi; Ting Cao; Ao Zhou 001; Xiao Ma 009; 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 002; Kang Huang; Guang Huang; Xin Jin 008; Xuanzhe Liu (CoRR, 2022)

Device-centric Federated Analytics At Ease. - Li Zhang 133; Junji Qiu; Shangguang Wang; Mengwei Xu (CoRR, 2022)

AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts. - Dongqi Cai 001; Yaozong Wu; Haitao Yuan 002; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

Federated NLP in Few-shot Scenarios. - Dongqi Cai 001; Shangguang Wang; Yaozong Wu; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2022)

SoC-Cluster as an Edge Server: an Application-driven Measurement Study. - Li Zhang 133; Zhe Fu; Boqing Shi; Xiang Li 067; Rujin Lai; Chenyang Chen; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (CoRR, 2022)

Modelling and verifying BDI agents with bigraphs. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (Sci. Comput. Program., 2022)

FedAdapter: Efficient Federated Learning for Mobile NLP. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Mengwei Xu (ACM TUR-C, 2023)

Uncertain Machine Ethical Decisions Using Hypothetical Retrospection. - Simon Kolker; Louise A. Dennis; Ramon Fraga Pereira; Mengwei Xu (COINE, 2023)

Towards Practical Few-shot Federated NLP. - Dongqi Cai 001; Yaozong Wu; Haitao Yuan 002; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (EuroMLSys@EuroSys, 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 001; Victor C. M. Leung; Wenyu Wang (ICPP, 2023)

Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors. - Daliang Xu; Qing Li 028; Mengwei Xu; Kang Huang; Gang Huang 001; Shangguang Wang; Xin Jin 008; Yun Ma 002; Xuanzhe Liu (ICSOC (1), 2023)

CAN-verify: A Verification Tool For BDI Agents. - Mengwei Xu; Thibault Rivoalen; Blair Archibald; Michele Sevegnani (iFM, 2023)

Privacy as a Resource in Differentially Private Federated Learning. - Jinliang Yuan; Shangguang Wang; Shihe Wang; Yuanchun Li; Xiao Ma 009; Ao Zhou 001; Mengwei Xu (INFOCOM, 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 (ISSRE, 2023)

A Holistic QoS View of Crowdsourced Edge Cloud Platform. - Shihao Shen; Yicheng Feng; Mengwei Xu; Cheng Zhang 007; Xiaofei Wang 001; Wenyu Wang; Victor C. M. Leung (IWQoS, 2023)

How Far Have Edge Clouds Gone? A Spatial-Temporal Analysis of Edge Network Latency In the Wild. - Heng Zhang 032; Shaoyuan Huang; Mengwei Xu; Deke Guo; Xiaofei Wang 001; Victor C. M. Leung; Wenyu Wang (IWQoS, 2023)

Efficient Federated Learning for Modern NLP. - Dongqi Cai 001; Yaozong Wu; Shangguang Wang; Felix Xiaozhu Lin; Mengwei Xu (MobiCom, 2023)

Federated Few-Shot Learning for Mobile NLP. - Dongqi Cai 001; Shangguang Wang; Yaozong Wu; Felix Xiaozhu Lin; Mengwei Xu (MobiCom, 2023)

Boosting DNN Cold Inference on Edge Devices. - Rongjie Yi; Ting Cao; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (MobiSys, 2023)

Quantitative Verification and Strategy Synthesis for BDI Agents. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (NFM, 2023)

Successful Swarms: Operator Situational Awareness with Modelling and Verification at Runtime. - Yue Gu; William Hunt; Blair Archibald; Mengwei Xu; Michele Sevegnani; Mohammad Divband Soorati (RO-MAN, 2023)

ELASTIC: Edge Workload Forecasting based on Collaborative Cloud-Edge Deep Learning. - Yanan Li; Haitao Yuan 002; Zhe Fu; Xiao Ma 009; Mengwei Xu; Shangguang Wang (WWW, 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)

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices. - Mengwei Xu; Yaozong Wu; Dongqi Cai 001; Xiang Li 067; Shangguang Wang (CoRR, 2023)

EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models. - Rongjie Yi; Liwei Guo; Shiyun Wei; Ao Zhou 001; Shangguang Wang; Mengwei Xu (CoRR, 2023)

Rethinking Mobile AI Ecosystem in the LLM Era. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (CoRR, 2023)

LLMCad: Fast and Scalable On-device Large Language Model Inference. - Daliang Xu; Wangsong Yin; Xin Jin 008; Ying Zhang 022; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (CoRR, 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)

A large-scale holistic measurement of crowdsourced edge cloud platform. - Yicheng Feng; Shihao Shen; Mengwei Xu; Cheng Zhang 007; Xin Wang 030; Xiaofei Wang 001; Wenyu Wang; Victor C. M. Leung (World Wide Web (WWW), 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 002; Mengwei Xu; Shangguang Wang (Proc. ACM Manag. Data, 2023)

5G Edge Computing - Technologies, Applications and Future Visions - Xiao Ma 009; Mengwei Xu; Qing Li 028; Yuanzhe Li; Ao Zhou 001; Shangguang Wang (Springer, 2024)

SoCFlow: Efficient and Scalable DNN Training on SoC-Clustered Edge Servers. - Daliang Xu; Mengwei Xu; Chiheng Lou; Li Zhang 133; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (ASPLOS (1), 2024)

Safeguard Privacy for Minimal Data Collection with Trustworthy Autonomous Agents. - Mengwei Xu; Louise A. Dennis; Mustafa A. Mustafa (AAMAS, 2024)

A Practical Operational Semantics for Classical Planning in BDI Agents. - Mengwei Xu; Tom Lumley; Ramon Fraga Pereira; Felipe Meneguzzi (ECAI, 2024)

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. - Xiang Li 067; Zhenyan Lu; Dongqi Cai 001; Xiao Ma 009; Mengwei Xu (EdgeFM@MobiSys, 2024)

WiP: Efficient LLM Prefilling with Mobile NPU. - Daliang Xu; Hao Zhang 108; Liming Yang; Ruiqi Liu; Mengwei Xu; Xuanzhe Liu (EdgeFM@MobiSys, 2024)

FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission. - Zeling Zhang; Dongqi Cai 001; Yiran Zhang; Mengwei Xu; Shangguang Wang; Ao Zhou 001 (EuroMLSys@EuroSys, 2024)

Flexible LAN-WAN Orchestration for Communication Efficient Federated Learning over Large-Scale Mobile Devices. - Jinliang Yuan; Qing Li 028; Fan Dang 001; Xiaofang Mu; Hui Qi; Mengwei Xu; Shangguang Wang (ICPADS, 2024)

Resource-efficient In-orbit Detection of Earth Objects. - Qiyang Zhang; Xin Yuan; Ruolin Xing; Yiran Zhang; Zimu Zheng; Xiao Ma 009; Mengwei Xu; Schahram Dustdar; Shangguang Wang (INFOCOM, 2024)

Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and Analysis. - Ruolin Xing; Mengwei Xu; Ao Zhou 001; Qing Li 028; Yiran Zhang; Feng Qian 001; Shangguang Wang (MobiCom, 2024)

Mobile Foundation Model as Firmware. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (MobiCom, 2024)

Poster: Efficient and Accurate Mobile Task Automation through Learning from Code. - Shihe Wang; Li Zhang 133; Mengwei Xu (MobiSys, 2024)

SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices. - Dongqi Cai 001; Shangguang Wang; Zeling Zhang; Felix Xiaozhu Lin; Mengwei Xu (NeurIPS, 2024)

Exploring Real-Time Satellite Computing: From Energy and Thermal Perspectives. - Qing Li 028; Shangguang Wang; Chenren Xu; Xiao Ma 009; Mengwei Xu; Ao Zhou 001; Ruolin Xing; Boyuan Yang; Zuo Zhu; Ying Zhang 012; Xuanzhe Liu (RTSS, 2024)

PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks. - Wangsong Yin; Daliang Xu; Gang Huang 001; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (SenSys, 2024)

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation. - Li Zhang 133; Shihe Wang; Xianqing Jia; Zhihan Zheng; Yunhe Yan; Longxi Gao; Yuanchun Li; Mengwei Xu (UIST, 2024)

An Empirical Study of Rust-for-Linux: The Success, Dissatisfaction, and Compromise. - Hongyu Li; Liwei Guo; Yexuan Yang; Shangguang Wang; Mengwei Xu (USENIX ATC, 2024)

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. - Mengwei Xu; Dongqi Cai 001; Yaozong Wu; Xiang Li 067; Shangguang Wang (USENIX ATC, 2024)

More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs. - Li Zhang 133; Zhe Fu; Boqing Shi; Xiang Li 067; Rujin Lai; Chenyang Yang 004; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (USENIX ATC, 2024)

High-density Mobile Cloud Gaming on Edge SoC Clusters. - Li Zhang 133; Shangguang Wang; Mengwei Xu (USENIX ATC, 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 (WWW, 2024)

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security. - Yuanchun Li; Hao Wen 004; Weijun Wang 001; Xiangyu Li; Yizhen Yuan; Guohong Liu 002; Jiacheng Liu; Wenxing Xu; Xiang Wang; Yi Sun; Rui Kong; Yile Wang 001; et al. (CoRR, 2024)

A Survey of Resource-efficient LLM and Multimodal Foundation Models. - Mengwei Xu; Wangsong Yin; Dongqi Cai 001; Rongjie Yi; Daliang Xu; Qipeng Wang; Bingyang Wu; Yihao Zhao; Chen Yang; Shihe Wang; Qiyang Zhang; Zhenyan Lu; et al. (CoRR, 2024)

Lightweight Protection for Privacy in Offloaded Speech Understanding. - Dongqi Cai 001; Shangguang Wang; Zeling Zhang; Felix Xiaozhu Lin; Mengwei Xu (CoRR, 2024)

A First Look at GPT Apps: Landscape and Vulnerability. - Zejun Zhang 002; Li Zhang 133; Xin Yuan; Anlan Zhang; Mengwei Xu; Feng Qian 001 (CoRR, 2024)

LLM as a System Service on Mobile Devices. - Wangsong Yin; Mengwei Xu; Yuanchun Li; Xuanzhe Liu (CoRR, 2024)

LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Automation Task Evaluation. - Li Zhang 133; Shihe Wang; Xianqing Jia; Zhihan Zheng; Yunhe Yan; Longxi Gao; Yuanchun Li; Mengwei Xu (CoRR, 2024)

The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving. - Pai Zeng; Zhenyu Ning; Jieru Zhao; Weihao Cui; Mengwei Xu; Liwei Guo; Xusheng Chen; Yizhou Shan (CoRR, 2024)

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts. - Hanzi Mei; Dongqi Cai 001; Ao Zhou 001; Shangguang Wang; Mengwei Xu (CoRR, 2024)

ELMS: Elasticized Large Language Models On Mobile Devices. - Wangsong Yin; Rongjie Yi; Daliang Xu; Gang Huang 001; Mengwei Xu; Xuanzhe Liu (CoRR, 2024)

MobileViews: A Large-Scale Mobile GUI Dataset. - Longxi Gao; Li Zhang 133; Shihe Wang; Shangguang Wang; Yuanchun Li; Mengwei Xu (CoRR, 2024)

Recall: Empowering Multimodal Embedding for Edge Devices. - Dongqi Cai 001; Shangguang Wang; Chen Peng; Zeling Zhang; Mengwei Xu (CoRR, 2024)

Small Language Models: Survey, Measurements, and Insights. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (CoRR, 2024)

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training. - Rongjie Yi; Xiang Li 067; Weikai Xie; Zhenyan Lu; Chenghua Wang; Ao Zhou 001; Shangguang Wang; Xiwen Zhang; Mengwei Xu (CoRR, 2024)

DroidCall: A Dataset for LLM-powered Android Intent Invocation. - Weikai Xie; Li Zhang 133; Shihe Wang; Rongjie Yi; Mengwei Xu (CoRR, 2024)

Large-Scale Measurements and Optimizations on Latency in Edge Clouds. - Heng Zhang 032; Shaoyuan Huang; Mengwei Xu; Deke Guo; Xiaofei Wang 001; Xin Wang 030; Victor C. M. Leung; Wenyu Wang (IEEE Trans. Cloud Comput., 2024)

Tango: Harmonious Optimization for Mixed Services in Kubernetes-Based Edge Clouds. - Shihao Shen; Yicheng Feng; Mengwei Xu; Yuanming Ren; Xiaofei Wang 001; Victor C. M. Leung; Wenyu Wang (IEEE Trans. Serv. Comput., 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)

FLASH: Heterogeneity-Aware Federated Learning at Scale. - Chengxu Yang; Mengwei Xu; Qipeng Wang; Zhenpeng Chen; Kang Huang; Yun Ma 002; Kaigui Bian; Gang Huang 001; Yunxin Liu 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

Quantitative modelling and analysis of BDI agents. - Blair Archibald; Muffy Calder; Michele Sevegnani; Mengwei Xu (Softw. Syst. Model., 2024)

A Comprehensive Deep Learning Library Benchmark and Optimal Library Selection. - Qiyang Zhang; Xiangying Che; Yijie Chen; Xiao Ma 009; Mengwei Xu; Schahram Dustdar; Xuanzhe Liu; Shangguang Wang (IEEE Trans. Mob. Comput., 2024)

Seamless Cross-Edge Service Migration for Real-Time Rendering Applications. - Yuanzhe Li; Shangguang Wang; Yuanchun Li; Ao Zhou 001; Mengwei Xu; Xiao Ma 009; Yunxin Liu 001 (IEEE Trans. Mob. Comput., 2024)

Benchmarking Mobile Deep Learning Software. - Qiyang Zhang; Mengwei Xu (GetMobile Mob. Comput. Commun., 2024)

Communication-Efficient Satellite-Ground Federated Learning Through Progressive Weight Quantization. - Chen Yang; Jinliang Yuan; Yaozong Wu; Qibo Sun; Ao Zhou 001; Shangguang Wang; Mengwei Xu (IEEE Trans. Mob. Comput., 2024)

Accelerating Vertical Federated Learning. - Dongqi Cai 001; Tao Fan 002; Yan Kang 001; Lixin Fan; Mengwei Xu; Shangguang Wang; Qiang Yang 001 (IEEE Trans. Big Data, 2024)

Efficient, Scalable, and Sustainable DNN Training on SoC-Clustered Edge Servers. - Mengwei Xu; Daliang Xu; Chiheng Lou; Li Zhang 133; Gang Huang 001; Xin Jin 008; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2024)

Demystifying Small Language Models for Edge Deployment. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Wei Liu 061; Jian Luan 001; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (ACL (1), 2025)

Fast On-device LLM Inference with NPUs. - Daliang Xu; Hao Zhang 108; Liming Yang; Ruiqi Liu; Gang Huang 001; Mengwei Xu; Xuanzhe Liu (ASPLOS (1), 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 (CVPR, 2025)

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents. - Haiyang Shen; Yue Li; Desong Meng; Dongqi Cai 001; Sheng Qi; Li Zhang 133; Mengwei Xu; Yun Ma 002 (ICLR, 2025)

Quantitative Operational Monitoring for BDI Agents. - Marie Farrell; Angelo Ferrando 001; Mengwei Xu (AAMAS, 2025)

Uncertain Machine Ethics Planning. - Simon Kolker; Louise A. Dennis; Ramon Fraga Pereira; Mengwei Xu (AAMAS, 2025)

Modelling and verifying BDI agents under uncertainty. - Blair Archibald; Michele Sevegnani; Mengwei Xu (Sci. Comput. Program., 2025)

CAN-Verify: Automated analysis for BDI agents. - Mengwei Xu; Blair Archibald; Michele Sevegnani (Sci. Comput. Program., 2025)

FedCLR+: Tackling Onboard Label Constraints for Accurate Federated Satellite Computing. - Chen Yang; Qiyang Zhang; Qibo Sun; Shufeng Ouyang; Ao Zhou 001; Shangguang Wang; Mengwei Xu (IEEE Trans. Serv. Comput., 2025)

Every Software as an Agent: Blueprint and Case Study. - Mengwei Xu (CoRR, 2025)

Does Chain-of-Thought Reasoning Help Mobile GUI Agent? An Empirical Study. - Li Zhang 133; Longxi Gao; Mengwei Xu (CoRR, 2025)

Rethinking Cost-Efficient VM Scheduling on Public Edge Platforms: A Service Provider's Perspective. - Yanan Li; Xiao Ma 009; Zhe Fu; Ao Zhou 001; Mengwei Xu; Shangguang Wang (IEEE Trans. Mob. Comput., 2025)

A Collaborative Cloud-Edge Approach for Robust Edge Workload Forecasting. - Yanan Li; Penghong Zhao; Xiao Ma 009; Haitao Yuan 002; Zhe Fu; Mengwei Xu; Shangguang Wang (IEEE Trans. Mob. Comput., 2025)

EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding. - Daliang Xu; Wangsong Yin; Hao Zhang 108; Xin Jin 008; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

UIShift: Enhancing VLM-based GUI Agents through Self-supervised Reinforcement Learning. - Longxi Gao; Li Zhang 133; Mengwei Xu (CoRR, 2025)

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades. - Yanan Li; Fanxu Meng; Muhan Zhang; Shiai Zhu; Shangguang Wang; Mengwei Xu (CoRR, 2025)

Resource-efficient Algorithms and Systems of Foundation Models: A Survey. - Mengwei Xu; Dongqi Cai 001; Wangsong Yin; Shangguang Wang; Xin Jin 008; Xuanzhe Liu (ACM Comput. Surv., 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; et al. (CoRR, 2025)

MobiEdit: Resource-efficient Knowledge Editing for Personalized On-device LLMs. - Zhenyan Lu; Daliang Xu; Dongqi Cai 001; Zexi Li; Wei Liu 061; Fangming Liu; Shangguang Wang; Mengwei Xu (CoRR, 2025)

EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices. - Rongjie Yi; Liwei Guo; Shiyun Wei; Ao Zhou 001; Shangguang Wang; Mengwei Xu (IEEE Trans. Mob. Comput., 2025)

From Earth to Orbit: Launch Sequence Optimization for LEO Mega-Constellations. - Tianze Huang; Qing Li 028; Chenren Xu; Mengwei Xu; Shangguang Wang; Gang Huang 001; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)