2025
A Survey on Federated Learning in Human Sensing.
CoRR, January, 2025
2024
NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution.
IEEE Trans. Mob. Comput., March, 2024
The Future of Consumer Edge-AI Computing.
IEEE Pervasive Comput., 2024
FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables.
IEEE Pervasive Comput., 2024
Rapid Distributed Fine-tuning of a Segmentation Model Onboard Satellites.
CoRR, 2024
Photon: Federated LLM Pre-Training.
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CoRR, 2024
Space for Improvement: Navigating the Design Space for Federated Learning in Satellite Constellations.
CoRR, 2024
DEPT: Decoupled Embeddings for Pre-training Language Models.
CoRR, 2024
Small Language Models: Survey, Measurements, and Insights.
CoRR, 2024
Supercharging Federated Learning with Flower and NVIDIA FLARE.
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CoRR, 2024
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs.
CoRR, 2024
Compliance Cards: Computational Artifacts for Automated AI Regulation Compliance.
CoRR, 2024
Sheaf HyperNetworks for Personalized Federated Learning.
CoRR, 2024
Worldwide Federated Training of Language Models.
CoRR, 2024
The Future of Large Language Model Pre-training is Federated.
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CoRR, 2024
Attacks on Third-Party APIs of Large Language Models.
CoRR, 2024
Aardvark Weather: end-to-end data-driven weather forecasting.
CoRR, 2024
Enhancing Data Quality in Federated Fine-Tuning of Foundation Models.
CoRR, 2024
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients.
CoRR, 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act.
CoRR, 2024
Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Towards Neural Architecture Search through Hierarchical Generative Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Federated Learning with Swift: An Extension of Flower and Performance Evaluation.
SoftwareX, December, 2023
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation.
ACM Trans. Design Autom. Electr. Syst., November, 2023
Federated benchmarking of medical artificial intelligence with MedPerf.
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Nat. Mac. Intell., July, 2023
Multiple-Deep Neural Network Accelerators for Next-Generation Artificial Intelligence Systems.
Computer, March, 2023
A First Look into the Carbon Footprint of Federated Learning.
J. Mach. Learn. Res., 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor.
CoRR, 2023
TinyTrain: Deep Neural Network Training at the Extreme Edge.
CoRR, 2023
FDAPT: Federated Domain-adaptive Pre-training for Language Models.
CoRR, 2023
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement.
CoRR, 2023
Are We There Yet? Product Quantization and its Hardware Acceleration.
CoRR, 2023
vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer.
CoRR, 2023
Privacy in Multimodal Federated Human Activity Recognition.
CoRR, 2023
Efficient Vertical Federated Learning with Secure Aggregation.
CoRR, 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates.
CoRR, 2023
A Federated Learning Benchmark for Drug-Target Interaction.
CoRR, 2023
A Federated Learning Benchmark for Drug-Target Interaction.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
FedVal: Different good or different bad in federated learning.
Proceedings of the 32nd USENIX Security Symposium, 2023
Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth.
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
FedL2P: Federated Learning to Personalize.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates.
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023
Can Fair Federated Learning Reduce the need for Personalisation?
Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023
Zero-Cost Operation Scoring in Differentiable Architecture Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device.
ACM Trans. Embed. Comput. Syst., November, 2022
FRuDA: Framework for Distributed Adversarial Domain Adaptation.
IEEE Trans. Parallel Distributed Syst., 2022
Wireless Localization with Spatial-Temporal Robust Fingerprints.
ACM Trans. Sens. Networks, 2022
Differentiable Neural Network Pruning to Enable Smart Applications on Microcontrollers.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
MobiVQA: Efficient On-Device Visual Question Answering.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions.
ACM Comput. Surv., 2022
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution.
CoRR, 2022
Fluid Batching: Exit-Aware Preemptive Serving of Early-Exit Neural Networks on Edge NPUs.
CoRR, 2022
Multi-DNN Accelerators for Next-Generation AI Systems.
CoRR, 2022
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022
BLOX: Macro Neural Architecture Search Benchmark and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Adaptable mobile vision systems through multi-exit neural networks.
Proceedings of the MobiSys '22: The 20th Annual International Conference on Mobile Systems, Applications and Services, Portland, Oregon, 27 June 2022, 2022
Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022
Federated Self-supervised Speech Representations: Are We There Yet?
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Do We Need Anisotropic Graph Neural Networks?
Proceedings of the Tenth International Conference on Learning Representations, 2022
Conditioning Sequence-to-sequence Networks with Learned Activations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.
Proceedings of the Tenth International Conference on Learning Representations, 2022
End-to-End Speech Recognition from Federated Acoustic Models.
Proceedings of the IEEE International Conference on Acoustics, 2022
Protea: client profiling within federated systems using flower.
Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network, 2022
Deep learning on microcontrollers: a study on deployment costs and challenges.
Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022
Federated Self-supervised Learning for Video Understanding.
Proceedings of the Computer Vision - ECCV 2022, 2022
Multi-Exit Semantic Segmentation Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Can You See It?: Good, So We Can Sense It!
GetMobile Mob. Comput. Commun., 2021
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
Chronic Pain Protective Behavior Detection with Deep Learning.
ACM Trans. Comput. Heal., 2021
Differentiable Network Pruning for Microcontrollers.
CoRR, 2021
MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.
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CoRR, 2021
Inferring Facing Direction from Voice Signals.
CoRR, 2021
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth.
CoRR, 2021
Zero-Cost Proxies Meet Differentiable Architecture Search.
CoRR, 2021
End-to-End Speech Recognition from Federated Acoustic Models.
CoRR, 2021
On-device Federated Learning with Flower.
CoRR, 2021
Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.
CoRR, 2021
A first look into the carbon footprint of federated learning.
CoRR, 2021
Predicting Patient Outcomes with Graph Representation Learning.
CoRR, 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021
A Channel Coding Benchmark for Meta-Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions.
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021
Are Mobile DNN Accelerators Accelerating DNNs?
Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021
Smart at what cost?: characterising mobile deep neural networks in the wild.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021
Degree-Quant: Quantization-Aware Training for Graph Neural Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition.
Proceedings of the 9th International Conference on Learning Representations, 2021
Zero-Cost Proxies for Lightweight NAS.
Proceedings of the 9th International Conference on Learning Representations, 2021
Temporal Kernel Consistency for Blind Video Super-Resolution.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021
μNAS: Constrained Neural Architecture Search for Microcontrollers.
Proceedings of the EuroMLSys@EuroSys 2021, 2021
Secure aggregation for federated learning in flower.
Proceedings of the DistributedML '21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021
2020
2020 ACM SIGMOBILE Rockstar Award: Nicholas D. Lane.
GetMobile Mob. Comput. Commun., 2020
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics.
IEEE Internet Things J., 2020
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities.
CoRR, 2020
A first look into the carbon footprint of federated learning.
CoRR, 2020
Flower: A Friendly Federated Learning Research Framework.
CoRR, 2020
Single Shot Structured Pruning Before Training.
CoRR, 2020
Are Accelerometers for Activity Recognition a Dead-end?
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020
The Final Frontier: Deep Learning in Space.
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020
BRP-NAS: Prediction-based NAS using GCNs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
SPINN: synergistic progressive inference of neural networks over device and cloud.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Quaternion Neural Networks for Multi-Channel Distant Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Iterative Compression of End-to-End ASR Model Using AutoML.
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Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
HAPI: Hardware-Aware Progressive Inference.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.
Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions.
Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020
Journey Towards Tiny Perceptual Super-Resolution.
Proceedings of the Computer Vision - ECCV 2020, 2020
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.
Proceedings of the DistributedML@CoNEXT 2020: Proceedings of the 1st Workshop on Distributed Machine Learning, 2020
2019
Learning to Listen... On-Device: Present and future perspectives of on-device ASR.
GetMobile Mob. Comput. Commun., 2019
Pervasive Data Science and AI.
IEEE Pervasive Comput., 2019
Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019
Neural networks on microcontrollers: saving memory at inference via operator reordering.
CoRR, 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices.
CoRR, 2019
Learning Bodily and Temporal Attention in Protective Movement Behavior Detection.
CoRR, 2019
Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach.
CoRR, 2019
Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.
Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019
Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems.
Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
An Empirical study of Binary Neural Networks' Optimisation.
Proceedings of the 7th International Conference on Learning Representations, 2019
Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data.
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019
Unsupervised domain adaptation for robust sensory systems.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
A Vision for Adaptive and Generalizable Audio-Sensing Systems.
Proceedings of the Fourth International Workshop on Social Sensing, 2019
Learning Temporal and Bodily Attention in Protective Movement Behavior Detection.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2019
Towards the Design and Evaluation of Robust Audio-Sensing Systems.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019
2018
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People.
CoRR, 2018
The Deep (Learning) Transformation of Mobile and Embedded Computing.
Computer, 2018
Behavior Recognition Based on Wi-Fi CSI: Part 2.
IEEE Commun. Mag., 2018
Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data.
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2018
Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices.
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018
Deterministic binary filters for keyword spotting applications.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018
Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018
Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems.
Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018
Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices.
Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018
Deterministic Binary Filters for Convolutional Neural Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
On Robustness of Cloud Speech APIs: An Early Characterization.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
Squeezing Deep Learning into Mobile and Embedded Devices.
IEEE Pervasive Comput., 2017
Gain Without Pain: Accurate WiFi-based Localization using Fingerprint Spatial Gradient.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Multimodal Deep Learning for Activity and Context Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017
Privacy-Preserving Deep Inference for Rich User Data on The Cloud.
CoRR, 2017
Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data.
CoRR, 2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics.
CoRR, 2017
Behavior Recognition Based on Wi-Fi CSI: Part 1.
IEEE Commun. Mag., 2017
Scaling health analytics to millions without compromising privacy using deep distributed behavior models.
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2017
DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017
Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading.
Proceedings of the 15th Annual International Conference on Mobile Systems, 2017
Density-aware compressive crowdsensing.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017
2016
X-CNN: Cross-modal convolutional neural networks for sparse datasets.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016
From smart to deep: Robust activity recognition on smartwatches using deep learning.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016
Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
Poster: Towards Radio-based Sensing on Wearables.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
<i>BodyScan</i>: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016
LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources.
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016
DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit.
Proceedings of the 8th EAI International Conference on Mobile Computing, 2016
Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016
ppNav: Peer-to-Peer Indoor Navigation for Smartphones.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016
Towards multimodal deep learning for activity recognition on mobile devices.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016
Engagement-aware computing: modelling user engagement from mobile contexts.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016
2015
How to the Smash Next Billion Mobile App Bugs?
GetMobile Mob. Comput. Commun., 2015
Can Deep Learning Revolutionize Mobile Sensing?
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications, 2015
An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices.
Proceedings of the 2015 International Workshop on Internet of Things towards Applications, 2015
ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation.
Proceedings of the 13th Annual International Conference on Mobile Systems, 2015
Cost-aware compressive sensing for networked sensing systems.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015
SIFT: building an internet of safe things.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015
Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
More with less: lowering user burden in mobile crowdsourcing through compressive sensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
Prime: a framework for co-located multi-device apps.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015
2014
Community Similarity Networks.
Pers. Ubiquitous Comput., 2014
BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing.
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Mob. Networks Appl., 2014
DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones.
Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014
Caiipa: automated large-scale mobile app testing through contextual fuzzing.
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Proceedings of the 20th Annual International Conference on Mobile Computing and Networking, 2014
Connecting personal-scale sensing and networked community behavior to infer human activities.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014
2013
Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities.
Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013
Unobtrusive sleep monitoring using smartphones.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013
CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones.
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Proceedings of the 11th Annual International Conference on Mobile Systems, 2013
MoodScope: building a mood sensor from smartphone usage patterns.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013
Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns.
Proceedings of the 17th Annual International Symposium on Wearable Computers. ISWC 2013, 2013
2nd ACM international workshop on mobile systems for computational social science.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
Understanding the coverage and scalability of place-centric crowdsensing.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013
2012
Community-Aware Smartphone Sensing Systems.
IEEE Internet Comput., 2012
BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization.
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Proceedings of the Wireless Health 2012, 2012
Visage: A Face Interpretation Engine for Smartphone Applications.
Proceedings of the Mobile Computing, Applications, and Services, 2012
CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
CarSafe demo: supporting driver safety using dual-cameras on smartphones.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
Automatically characterizing places with opportunistic crowdsensing using smartphones.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Exploiting Social Networks for Large-Scale Human Behavior Modeling.
IEEE Pervasive Comput., 2011
Balancing energy, latency and accuracy for mobile sensor data classification.
Proceedings of the 9th International Conference on Embedded Networked Sensor Systems, 2011
Enabling large-scale human activity inference on smartphones using community similarity networks (csn).
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
Mobile sensing: challenges, opportunities and future directions.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011
2010
Bubble-sensing: Binding sensing tasks to the physical world.
Pervasive Mob. Comput., 2010
A survey of mobile phone sensing.
IEEE Commun. Mag., 2010
The Jigsaw continuous sensing engine for mobile phone applications.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010
Hapori: context-based local search for mobile phones using community behavioral modeling and similarity.
Proceedings of the UbiComp 2010: Ubiquitous Computing, 12th International Conference, 2010
Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
BikeNet: A mobile sensing system for cyclist experience mapping.
ACM Trans. Sens. Networks, 2009
SoundSense: scalable sound sensing for people-centric applications on mobile phones.
Proceedings of the 7th International Conference on Mobile Systems, 2009
2008
The Rise of People-Centric Sensing.
IEEE Internet Comput., 2008
Urban sensing systems: opportunistic or participatory?
Proceedings of the 9th Workshop on Mobile Computing Systems and Applications, 2008
Integrating sensor presence into virtual worlds using mobile phones.
Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008
Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application.
Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008
Transforming the social networking experience with sensing presence from mobile phones.
Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008
Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing.
Proceedings of the Pervasive Computing, 2008
CaliBree: A Self-calibration System for Mobile Sensor Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2008
Techniques for Improving Opportunistic Sensor Networking Performance.
Proceedings of the Distributed Computing in Sensor Systems, 2008
2007
CenceMe - Injecting Sensing Presence into Social Networking Applications.
Proceedings of the Smart Sensing and Context, 2007
Ambient beacon localization: using sensed characteristics of the physical world to localize mobile sensors.
Proceedings of the 4th Workshop on Embedded Networked Sensors, 2007
2006
People-centric urban sensing.
Proceedings of the 2nd International ICST Conference on Wireless Internet, 2006
Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, 2006
2003
An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones.
Proceedings of the User Interfaces 2003, 2003