Nicholas D. Lane

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Federated Self-supervised Speech Representations: Are We There Yet?

[BibT_eX]

[DOI]

Alberto Gil Couto Pimentel Ramos

Proceedings of the Interspeech 2022, 2022

Do We Need Anisotropic Graph Neural Networks?

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Conditioning Sequence-to-sequence Networks with Learned Activations.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

End-to-End Speech Recognition from Federated Acoustic Models.

[BibT_eX]

[DOI]

Salah Zaiem

Proceedings of the IEEE International Conference on Acoustics, 2022

Protea: client profiling within federated systems using flower.

[BibT_eX]

[DOI]

Wanru Zhao

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.

[BibT_eX]

[DOI]

Filip Svoboda

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.

[BibT_eX]

[DOI]

Yasar Abbas Ur Rehman

Jiajun Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Exit Semantic Segmentation Networks.

[BibT_eX]

[DOI]

Alexandros Kouris

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Can You See It?: Good, So We Can Sense It!

[BibT_eX]

[DOI]

GetMobile Mob. Comput. Commun., 2021

Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data.

[BibT_eX]

[DOI]

Yuan Gao

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings.

[BibT_eX]

[DOI]

Catherine Tong

Jinchen Ge

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Chronic Pain Protective Behavior Detection with Deep Learning.

[BibT_eX]

[DOI]

Temitayo A. Olugbade

ACM Trans. Comput. Heal., 2021

Differentiable Network Pruning for Microcontrollers.

[BibT_eX]

[DOI]

CoRR, 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

[BibT_eX]

[DOI]

CoRR, 2021

Inferring Facing Direction from Voice Signals.

[BibT_eX]

[DOI]

CoRR, 2021

AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth.

[BibT_eX]

[DOI]

CoRR, 2021

Zero-Cost Proxies Meet Differentiable Architecture Search.

[BibT_eX]

[DOI]

Lichuan Xiang

Thomas Chau

Hongkai Wen

CoRR, 2021

End-to-End Speech Recognition from Federated Acoustic Models.

[BibT_eX]

[DOI]

CoRR, 2021

On-device Federated Learning with Flower.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions.

[BibT_eX]

[DOI]

CoRR, 2021

A first look into the carbon footprint of federated learning.

[BibT_eX]

[DOI]

CoRR, 2021

Predicting Patient Outcomes with Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation.

[BibT_eX]

[DOI]

Ilias Leontiadis

Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

A Channel Coding Benchmark for Meta-Learning.

[BibT_eX]

[DOI]

Timothy M. Hospedales

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alexandros Kouris

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?

[BibT_eX]

[DOI]

Qingqing Cao

Alexandru Eugen Irimiea

Aruna Balasubramanian

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.

[BibT_eX]

[DOI]

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

Degree-Quant: Quantization-Aware Training for Graph Neural Networks.

[BibT_eX]

[DOI]

Shyam Anil Tailor

Proceedings of the 9th International Conference on Learning Representations, 2021

NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition.

[BibT_eX]

[DOI]

Samin Ishtiaq

Proceedings of the 9th International Conference on Learning Representations, 2021

Zero-Cost Proxies for Lightweight NAS.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Temporal Kernel Consistency for Blind Video Super-Resolution.

[BibT_eX]

[DOI]

Lichuan Xiang

Hongkai Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

μNAS: Constrained Neural Architecture Search for Microcontrollers.

[BibT_eX]

[DOI]

Proceedings of the EuroMLSys@EuroSys 2021, 2021

Secure aggregation for federated learning in flower.

[BibT_eX]

[DOI]

Kwing Hei Li

Proceedings of the DistributedML '21: Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning, 2021

Defensive Tensorization.

[BibT_eX]

[DOI]

Timothy M. Hospedales

Georgios Tzimiropoulos

Maja Pantic

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2020

2020 ACM SIGMOBILE Rockstar Award: Nicholas D. Lane.

[BibT_eX]

[DOI]

GetMobile Mob. Comput. Commun., 2020

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics.

[BibT_eX]

[DOI]

Seyed Ali Osia

Ali Shahin Shamsabadi

IEEE Internet Things J., 2020

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices.

[BibT_eX]

[DOI]

Dionysis Manousakas

Cecilia Mascolo

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Deep Learning in the Era of Edge Computing: Challenges and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2020

A first look into the carbon footprint of federated learning.

[BibT_eX]

[DOI]

CoRR, 2020

Flower: A Friendly Federated Learning Research Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Single Shot Structured Pruning Before Training.

[BibT_eX]

[DOI]

CoRR, 2020

Are Accelerometers for Activity Recognition a Dead-end?

[BibT_eX]

[DOI]

Catherine Tong

Shyam A. Tailor

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

The Final Frontier: Deep Learning in Space.

[BibT_eX]

[DOI]

Vivek Kothari

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

BRP-NAS: Prediction-based NAS using GCNs.

[BibT_eX]

[DOI]

Thomas Chau

Hyeji Kim

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.

[BibT_eX]

[DOI]

Mário Almeida

Ilias Leontiadis

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.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Quaternion Neural Networks for Multi-Channel Distant Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Iterative Compression of End-to-End ASR Model Using AutoML.

[BibT_eX]

[DOI]

Samin Ishtiaq

SangJeong Lee

Daehyun Kim

Proceedings of the Interspeech 2020, 2020

Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification.

[BibT_eX]

[DOI]

Nadia Berthouze

Proceedings of the Interspeech 2020, 2020

HAPI: Hardware-Aware Progressive Inference.

[BibT_eX]

[DOI]

Hyeji Kim

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Journey Towards Tiny Perceptual Super-Resolution.

[BibT_eX]

[DOI]

Hyeji Kim

Hongkai Wen

Proceedings of the Computer Vision - ECCV 2020, 2020

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

GetMobile Mob. Comput. Commun., 2019

Pervasive Data Science and AI.

[BibT_eX]

[DOI]

Nigel Davies

Mirco Musolesi

IEEE Pervasive Comput., 2019

Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Neural networks on microcontrollers: saving memory at inference via operator reordering.

[BibT_eX]

[DOI]

CoRR, 2019

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices.

[BibT_eX]

[DOI]

Mário Almeida

Ilias Leontiadis

CoRR, 2019

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection.

[BibT_eX]

[DOI]

CoRR, 2019

Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach.

[BibT_eX]

[DOI]

Temitayo A. Olugbade

CoRR, 2019

Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Processing in Sensor Networks, 2019

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning.

[BibT_eX]

[DOI]

Ravichander Vipperla

Proceedings of the Interspeech 2019, 2019

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation.

[BibT_eX]

[DOI]

Anton Isopoussu

Fahim Kawsar

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

An Empirical study of Binary Neural Networks' Optimisation.

[BibT_eX]

[DOI]

Milad Alizadeh

Yarin Gal

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.

[BibT_eX]

[DOI]

Temitayo A. Olugbade

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

Unsupervised domain adaptation for robust sensory systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Social Sensing, 2019

Learning Temporal and Bodily Attention in Protective Movement Behavior Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

The Deep (Learning) Transformation of Mobile and Embedded Computing.

[BibT_eX]

[DOI]

Pete Warden

Computer, 2018

Behavior Recognition Based on Wi-Fi CSI: Part 2.

[BibT_eX]

[DOI]

Bin Guo

Yingying (Jennifer) Chen

Yunxin Liu

Zhiwen Yu

IEEE Commun. Mag., 2018

Cross-modal Recurrent Models for Weight Objective Prediction from Multimodal Time-series Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vincent W. S. Tseng

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

Deterministic binary filters for keyword spotting applications.

[BibT_eX]

[DOI]

Vincent W. S. Tseng

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.

[BibT_eX]

[DOI]

Milad Alizadeh

Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018

Deterministic Binary Filters for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Vincent W. S. Tseng

Milad Alizadeh

Catherine Tong

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On Robustness of Cloud Speech APIs: An Early Characterization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2017

Gain Without Pain: Accurate WiFi-based Localization using Fingerprint Spatial Gradient.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Multimodal Deep Learning for Activity and Context Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Privacy-Preserving Deep Inference for Rich User Data on The Cloud.

[BibT_eX]

[DOI]

Seyed Ali Ossia

Ali Shahin Shamsabadi

CoRR, 2017

Cross-modal Recurrent Models for Human Weight Objective Prediction from Multimodal Time-series Data.

[BibT_eX]

[DOI]

CoRR, 2017

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics.

[BibT_eX]

[DOI]

Seyed Ali Ossia

Ali Shahin Shamsabadi

CoRR, 2017

Behavior Recognition Based on Wi-Fi CSI: Part 1.

[BibT_eX]

[DOI]

Bin Guo

Yingying (Jennifer) Chen

Yunxin Liu

Zhiwen Yu

IEEE Commun. Mag., 2017

Scaling health analytics to millions without compromising privacy using deep distributed behavior models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading.

[BibT_eX]

[DOI]

Proceedings of the 15th Annual International Conference on Mobile Systems, 2017

Density-aware compressive crowdsensing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Poster: Towards Radio-based Sensing on Wearables.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 8th EAI International Conference on Mobile Computing, 2016

Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

ppNav: Peer-to-Peer Indoor Navigation for Smartphones.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Towards multimodal deep learning for activity recognition on mobile devices.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Fahim Kawsar

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015

How to the Smash Next Billion Mobile App Bugs?

[BibT_eX]

[DOI]

GetMobile Mob. Comput. Commun., 2015

Can Deep Learning Revolutionize Mobile Sensing?

[BibT_eX]

[DOI]

Petko Georgiev

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual International Conference on Mobile Systems, 2015

Cost-aware compressive sensing for networked sensing systems.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

SIFT: building an internet of safe things.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning.

[BibT_eX]

[DOI]

Chenggang Clarence Yan

Chunyan Miao

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

More with less: lowering user burden in mobile crowdsourcing through compressive sensing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Petko Georgiev

Lorena Qendro

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

Prime: a framework for co-located multi-device apps.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014

Community Similarity Networks.

[BibT_eX]

[DOI]

Pers. Ubiquitous Comput., 2014

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing.

[BibT_eX]

[DOI]

Mob. Networks Appl., 2014

DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems, 2014

Caiipa: automated large-scale mobile app testing through contextual fuzzing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013

Unobtrusive sleep monitoring using smartphones.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

MoodScope: building a mood sensor from smartphone usage patterns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 17th Annual International Symposium on Wearable Computers. ISWC 2013, 2013

2nd ACM international workshop on mobile systems for computational social science.

[BibT_eX]

[DOI]

Mirco Musolesi

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Understanding the coverage and scalability of place-centric crowdsensing.

[BibT_eX]

[DOI]

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

Community-Aware Smartphone Sensing Systems.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2012

BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization.

[BibT_eX]

[DOI]

Proceedings of the Wireless Health 2012, 2012

Visage: A Face Interpretation Engine for Smartphone Applications.

[BibT_eX]

[DOI]

Proceedings of the Mobile Computing, Applications, and Services, 2012

CarSafe: a driver safety app that detects dangerous driving behavior using dual-cameras on smartphones.

[BibT_eX]

[DOI]

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

CarSafe demo: supporting driver safety using dual-cameras on smartphones.

[BibT_eX]

[DOI]

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Automatically characterizing places with opportunistic crowdsensing using smartphones.

[BibT_eX]

[DOI]

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity.

[BibT_eX]

[DOI]

Saeed Abdullah

Tanzeem Choudhury

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Exploiting Social Networks for Large-Scale Human Behavior Modeling.

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2011

Balancing energy, latency and accuracy for mobile sensor data classification.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Mobile sensing: challenges, opportunities and future directions.

[BibT_eX]

[DOI]

Tanzeem Choudhury

Feng Zhao

Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010

Bubble-sensing: Binding sensing tasks to the physical world.

[BibT_eX]

[DOI]

Pervasive Mob. Comput., 2010

A survey of mobile phone sensing.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2010

The Jigsaw continuous sensing engine for mobile phone applications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Dimitrios Lymberopoulos

Feng Zhao

Proceedings of the UbiComp 2010: Ubiquitous Computing, 12th International Conference, 2010

Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

BikeNet: A mobile sensing system for cyclist experience mapping.

[BibT_eX]

[DOI]

ACM Trans. Sens. Networks, 2009

SoundSense: scalable sound sensing for people-centric applications on mobile phones.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Mobile Systems, 2009

2008

The Rise of People-Centric Sensing.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2008

Urban sensing systems: opportunistic or participatory?

[BibT_eX]

[DOI]

Proceedings of the 9th Workshop on Mobile Computing Systems and Applications, 2008

Integrating sensor presence into virtual worlds using mobile phones.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008

Transforming the social networking experience with sensing presence from mobile phones.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Embedded Networked Sensor Systems, 2008

Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing.

[BibT_eX]

[DOI]

Proceedings of the Pervasive Computing, 2008

CaliBree: A Self-calibration System for Mobile Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing in Sensor Systems, 2008

Techniques for Improving Opportunistic Sensor Networking Performance.

[BibT_eX]

[DOI]

Shane B. Eisenman

Proceedings of the Distributed Computing in Sensor Systems, 2008

2007

CenceMe - Injecting Sensing Presence into Social Networking Applications.

[BibT_eX]

[DOI]

Proceedings of the Smart Sensing and Context, 2007

Ambient beacon localization: using sensed characteristics of the physical world to localize mobile sensors.

[BibT_eX]

[DOI]

Hong Lu

Proceedings of the 4th Workshop on Embedded Networked Sensors, 2007

2006

People-centric urban sensing.

[BibT_eX]

[DOI]

Proceedings of the 2nd International ICST Conference on Wireless Internet, 2006

Virtual sensing range.

[BibT_eX]

[DOI]

Emiliano Miluzzo

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.

[BibT_eX]

[DOI]

Masood Masoodian