Nicholas D. Lane

Nicholas D. Lane, Sourav Bhattacharya, N. Lane, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Predicting Patient Outcomes with Graph Representation Learning pdf

Pietro Liò, Nicholas D. Lane, Petar Velickovic, 2021, ArXiv.

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

Xiaohong Hao, Nicholas D. Lane, Thomas Moscibroda, 2015, UbiComp.

A survey of mobile phone sensing

Emiliano Miluzzo, Andrew T. Campbell, Tanzeem Choudhury, 2010, IEEE Communications Magazine.

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

Nicholas D. Lane, Mohamed S. Abdelfattah, Lukasz Dudziak, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

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

Andrew T. Campbell, Tanzeem Choudhury, Nicholas D. Lane, 2012, Wireless Health.

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

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Context Virtualizer: A Cloud Service for Automated Large-scale Mobile App Testing under Real-World Conditions

Ranveer Chandra, Jun Tang, Feng Zhao, 2013 .

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

Nicholas D. Lane, Lukasz Dudziak, Stylianos I. Venieris, 2019, MobiCom.

Behavior Recognition Based on Wi-Fi CSI: Part 1

Yingying Chen, Yunxin Liu, Bin Guo, 2017, IEEE Commun. Mag..

Are Accelerometers for Activity Recognition a Dead-end?

Nicholas D. Lane, Catherine Tong, Shyam A. Tailor, 2020, HotMobile.

Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application

Mirco Musolesi, Xiao Zheng, Emiliano Miluzzo, 2008, SenSys '08.

Poster Abstract: Virtual Sensing Range

Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, 2006 .

Multi-Step Decentralized Domain Adaptation

Nicholas D. Lane, Fahim Kawsar, Akhil Mathur, 2019 .

The Jigsaw continuous sensing engine for mobile phone applications

Zhigang Liu, Jun Yang, Andrew T. Campbell, 2010, SenSys '10.

Can Deep Learning Revolutionize Mobile Sensing?

Nicholas D. Lane, Petko Georgiev, Petko Georgiev, 2015, HotMobile.

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Prime: A Framework for Scaling Co-located Multi-Device Apps

Alec Wolman, David Chu, Zengbin Zhang, 2016 .

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

Andrew T. Campbell, Nicholas D. Lane, Hong Lu, 2007, EmNets '07.

BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring

Mi Zhang, Nicholas D. Lane, Fahim Kawsar, 2016, MobiSys.

Towards Scalable Automated Mobile App Testing

Ranveer Chandra, Suman Nath, Feng Zhao, 2014 .

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

Nicholas D. Lane, Edgar Liberis, 2019, ArXiv.

Community-Aware Smartphone Sensing Systems

Nicholas D. Lane, 2012, IEEE Internet Computing.

Iterative Compression of End-to-End ASR Model using AutoML

Daehyun Kim, Samin Ishtiaq, Nicholas D. Lane, 2020, INTERSPEECH.

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

Alec Wolman, David Chu, Zengbin Zhang, 2015, UbiComp.

An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones

Masood Masoodian, Nicholas D. Lane, 2003, AUIC.

An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2015, IoT-App@SenSys.

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

Andrew T. Campbell, Tanzeem Choudhury, Nicholas D. Lane, 2010, AAAI.

On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices

Nicholas D. Lane, Sourav Bhattacharya, Javier Fernández-Marqués, 2018, EMDL@MobiSys.

People-centric urban sensing

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2006, WICON '06.

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

Nicholas D. Lane, Sourav Bhattacharya, N. Lane, 2016, SenSys.

The BikeNet mobile sensing system for cyclist experience mapping

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2007, SenSys '07.

Integrating sensor presence into virtual worlds using mobile phones

Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell, 2008, SenSys '08.

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

Nicholas D. Lane, Mohamed S. Abdelfattah, Lukasz Dudziak, 2020, FPGA.

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

Ranveer Chandra, Yan Liu, Li Zhang, 2014, MobiCom.

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data

Nicholas D. Lane, Chongyang Wang, Nadia Bianchi-Berthouze, 2019, UbiComp.

HAPI: Hardware-Aware Progressive Inference

Nicholas D. Lane, Stylianos I. Venieris, Hyeji Kim, 2020, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Deterministic binary filters for keyword spotting applications

Nicholas D. Lane, Sourav Bhattacharya, Javier Fernández-Marqués, 2018, MobiSys.

Accelerating embedded deep learning using DeepX : demonstration abstract

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2016, IPSN 2016.

Chronic Pain Protective Behavior Detection with Deep Learning

Nicholas D. Lane, Nadia Bianchi-Berthouze, Akhil Mathur, 2020, ACM Trans. Comput. Heal..

A Vision for Adaptive and Generalizable Audio-Sensing Systems

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2019, SocialSens@CPSIoTWeek.

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

Pietro Liò, Nicholas D. Lane, Petar Velickovic, 2017, PervasiveHealth.

SIFT: Towards an Internet of Safe Things

Nicholas D. Lane, Börje F. Karlsson, Feng Zhao, 2014 .

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

Titouan Parcollet, Nicholas D. Lane, Xinchi Qiu, 2020, INTERSPEECH.

Towards multimodal deep learning for activity recognition on mobile devices

Mahesh K. Marina, Cecilia Mascolo, Nicholas D. Lane, 2016, UbiComp Adjunct.

Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data

Nicholas D. Lane, Angela Chieh, Otmane Bellahsen, 2018, MobiSys.

Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2016, 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Mobile sensing: challenges, opportunities and future directions

Feng Zhao, Tanzeem Choudhury, Nicholas D. Lane, 2011, UbiComp '11.

Can Federated Learning Save The Planet

Titouan Parcollet, Nicholas D. Lane, Akhil Mathur, 2020 .

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics

Hamed Haddadi, Hamid R. Rabiee, Kleomenis Katevas, 2017, IEEE Internet of Things Journal.

The Deep (Learning) Transformation of Mobile and Embedded Computing

Nicholas D. Lane, Pete Warden, 2018, Computer.

Balancing energy, latency and accuracy for mobile sensor data classification

Qing Guo, Feng Zhao, David Chu, 2011, SenSys.

Squeezing Deep Learning into Mobile and Embedded Devices

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2017, IEEE Pervasive Computing.

Bewell: A smartphone application to monitor, model and promote wellbeing

Andrew T. Campbell, Tanzeem Choudhury, Nicholas D. Lane, 2011, PervasiveHealth 2011.

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Nicholas D. Lane, Fahim Kawsar, Lei Jiao, 2016, 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Pervasive Data Science and AI

Mirco Musolesi, Nicholas D. Lane, Nigel Davies, 2019, IEEE Pervasive Comput..

Enabling large-scale human activity inference on smartphones using community similarity networks (csn)

Ye Xu, Shaohan Hu, Feng Zhao, 2011, UbiComp '11.

Unobtrusive Sensing Incremental Social Contexts Using Fuzzy Class Incremental Learning

Shuangquan Wang, Chunyan Miao, Lisha Hu, 2015, 2015 IEEE International Conference on Data Mining.

Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems

Yunhao Liu, Jianbo Li, Nicholas D. Lane, 2018, 2018 IEEE 15th International Conference on Mobile Ad Hoc and Sensor Systems (MASS).

Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading

Cecilia Mascolo, David Chu, Nicholas D. Lane, 2017, MobiSys.

Deterministic Binary Filters for Convolutional Neural Networks

Nicholas D. Lane, Sourav Bhattacharya, Javier Fernández-Marqués, 2018, IJCAI.

Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations

Cecilia Mascolo, Nicholas D. Lane, Sourav Bhattacharya, 2017, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Community Similarity Networks

Ye Xu, Shaohan Hu, Feng Zhao, 2013, Personal and Ubiquitous Computing.

Cooperative Techniques Supporting Sensor-Based People-Centric Inferencing

Andrew T. Campbell, Nicholas D. Lane, Shane B. Eisenman, 2009, Pervasive.

CaliBree: A Self-calibration System for Mobile Sensor Networks

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2008, DCOSS.

Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices

Nicholas D. Lane, Stylianos I. Venieris, Dionysis Manousakas, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

On the feasibility of user de-anonymization from shared mobile sensor data

Junyuan Xie, Nicholas D. Lane, Thomas Moscibroda, 2012, PhoneSense '12.

MoodScope: building a mood sensor from smartphone usage patterns

Yunxin Liu, Lin Zhong, Nicholas D. Lane, 2013, MobiSys '13.

Behavior Recognition Based on Wi-Fi CSI: Part 2

Bin Guo, Yingying Chen, Yunxin Liu, 2018, IEEE Commun. Mag..

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

Nicholas D. Lane, Stylianos I. Venieris, Royson Lee, 2020, DistributedML@CoNEXT.

Fast track article: Bubble-sensing: Binding sensing tasks to the physical world

Andrew T. Campbell, Nicholas D. Lane, Shane B. Eisenman, 2010 .

Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices

Cecilia Mascolo, Nicholas D. Lane, Stylianos I. Venieris, 2020, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

Hapori: context-based local search for mobile phones using community behavioral modeling and similarity

Feng Zhao, Andrew T. Campbell, Nicholas D. Lane, 2010, UbiComp.

On Robustness of Cloud Speech APIs: An Early Characterization

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2018, UbiComp/ISWC Adjunct.

Engagement-aware computing: modelling user engagement from mobile contexts

Nicholas D. Lane, Fahim Kawsar, Akhil Mathur, 2016, UbiComp.

DeepEye: Resource Efficient Local Execution of Multiple Deep Vision Models using Wearable Commodity Hardware

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2017, MobiSys.

Proceedings of the 3rd International on Workshop on Physical Analytics

Nicholas D. Lane, Fahim Kawsar, Xia Zhou, 2016, MobiSys 2016.

Unsupervised domain adaptation for robust sensory systems

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2019, UbiComp/ISWC Adjunct.

DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning

Nicholas D. Lane, Petko Georgiev, Lorena Qendro, 2015, UbiComp.

Tapping into the Vibe of the city using VibN, a continuous sensing application for smartphones

Emiliano Miluzzo, Silvia Giordano, Andrew T. Campbell, 2011, SCI '11.

Connecting personal-scale sensing and networked community behavior to infer human activities

Feng Zhao, Nicholas D. Lane, Lin Zhou, 2014, UbiComp.

ContextSense: unobtrusive discovery of incremental social context using dynamic bluetooth data

Shuangquan Wang, Lisha Hu, Yiqiang Chen, 2014, UbiComp Adjunct.

The Rise of People-Centric Sensing

Mirco Musolesi, Xiao Zheng, Emiliano Miluzzo, 2008, IEEE Internet Comput..

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

Hamed Haddadi, Hamid R. Rabiee, Kleomenis Katevas, 2017, ArXiv.

MoodScope: building a mood sensor from smartphone usage patterns

Yunxin Liu, Lin Zhong, Nicholas D. Lane, 2013, MobiSys.

Preference, context and communities: a multi-faceted approach to predicting smartphone app usage patterns

Ye Xu, Andrew T. Campbell, Tanzeem Choudhury, 2013, ISWC '13.

X-CNN: Cross-modal convolutional neural networks for sparse datasets

Pietro Liò, Duo Wang, Nicholas D. Lane, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

The Final Frontier: Deep Learning in Space

Vivek Kothari, Nicholas D. Lane, Edgar Liberis, 2020, HotMobile.

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

Nicholas D. Lane, Lukasz Dudziak, Stylianos I. Venieris, 2019, MobiCom.

Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2018, UbiComp/ISWC Adjunct.

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

Cecilia Mascolo, Nicholas D. Lane, Petko Georgiev, 2016, MobiCom.

Urban sensing systems: opportunistic or participatory?

Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell, 2008, HotMobile '08.

$\mu$NAS: Constrained Neural Architecture Search for Microcontrollers

Nicholas D. Lane, Lukasz Dudziak, Edgar Liberis, 2020, 2010.14246.

BinaryFlex: On-the-Fly Kernel Generation in Binary Convolutional Networks

Nicholas D. Lane, Milad Alizadeh, Catherine Tong, 2018 .

Pocket, Bag, Hand, etc. - Automatically Detecting Phone Context through Discovery

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2010 .

Bubble-Sensing : A New Paradigm for Binding a Sensing Task to the Physical World using Mobile Phones

Andrew T. Campbell, Nicholas D. Lane, Shane B. Eisenman, 2008 .

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

Nicholas D. Lane, Javier Fernández-Marqués, Shyam A. Tailor, 2020, ICLR.

HeadScan: A Wearable System for Radio-Based Sensing of Head and Mouth-Related Activities

Mi Zhang, Nicholas D. Lane, Fahim Kawsar, 2016, 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

How to the Smash Next Billion Mobile App Bugs?

Ranveer Chandra, Suman Nath, Jitendra Padhye, 2015, GETMBL.

Learning Temporal and Bodily Attention in Protective Movement Behavior Detection

Nadia Bianchi-Berthouze, Nicholas D. Lane, Amanda C. de C. Williams, 2019, 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

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

Cecilia Mascolo, Nicholas D. Lane, Petko Georgiev, 2014, SenSys.

BikeNet: A mobile sensing system for cyclist experience mapping

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2009, TOSN.

Learning to Listen... On-Device

Rui Li, Ilias Leontiadis, Nicholas D. Lane, 2020, GetMobile Mob. Comput. Commun..

Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices

Pietro Liò, Nicholas D. Lane, Fahim Kawsar, 2018, 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

Cost-aware compressive sensing for networked sensing systems

Xin Liu, Xiaohong Hao, Nicholas D. Lane, 2015, IPSN.

Poster: Towards Radio-based Sensing on Wearables

Mi Zhang, Nicholas D. Lane, Fahim Kawsar, 2016, MobiSys '16 Companion.

μNAS: Constrained Neural Architecture Search for Microcontrollers pdf

Nicholas D. Lane, Lukasz Dudziak, Edgar Liberis, 2020, EuroMLSys@EuroSys.

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

Nicholas D. Lane, Chongyang Wang, Nadia Bianchi-Berthouze, 2019, ArXiv.

IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition

Gregory D. Abowd, Yan Gao, Nicholas D. Lane, 2020, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Cooperative Communities (CoCo): Exploiting Social Networks for Large-scale Modeling of Human Behavior

Andrew T. Campbell, Tanzeem Choudhury, Nicholas D. Lane, 2011 .

In search of theoretically grounded pruning

Nicholas D. Lane, Edgar Liberis, Filip Svoboda, 2018 .

Quaternion Neural Networks for Multi-channel Distant Speech Recognition

Titouan Parcollet, Mohamed Morchid, Mirco Ravanelli, 2020, INTERSPEECH.

ppNav: Peer-to-Peer Indoor Navigation for Smartphones

Yunhao Liu, Chenshu Wu, Zheng Yang, 2016, 2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS).

An Empirical study of Binary Neural Networks' Optimisation

Nicholas D. Lane, Yarin Gal, Javier Fernández-Marqués, 2018, ICLR.

Flower: A Friendly Federated Learning Research Framework pdf

Titouan Parcollet, Nicholas D. Lane, Akhil Mathur, 2020, ArXiv.

Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks

Maja Pantic, Jean Kossaifi, Georgios Tzimiropoulos, 2019 .

Transforming the social networking experience with sensing presence from mobile phones

Mirco Musolesi, Xiao Zheng, Emiliano Miluzzo, 2008, SenSys '08.

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

Ilias Leontiadis, Nicholas D. Lane, Stylianos I. Venieris, 2019, EMDL '19.

DXTK: Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2016, MobiCASE.

CarSafe app: alerting drowsy and distracted drivers using dual cameras on smartphones

Fanglin Chen, Lorenzo Torresani, Andrew T. Campbell, 2013, MobiSys 2013.

2020 ACM SIGMOBILE Rockstar Award

Nicholas D. Lane, 2020, GetMobile Mob. Comput. Commun..

CenceMe - Injecting Sensing Presence into Social Networking Applications

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2007, EuroSSC.

Automatically characterizing places with opportunistic crowdsensing using smartphones

Hojung Cha, Feng Zhao, Fan Li, 2012, UbiComp.

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

Andrew T. Campbell, Tanzeem Choudhury, Nicholas D. Lane, 2014, Mobile Networks and Applications.

Density-Aware Compressive CrowdSensing

Xin Liu, Xiaohong Hao, Nicholas D. Lane, 2017, 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).

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

Nicholas D. Lane, Ravichander Vipperla, Mohamed S. Abdelfattah, 2019, INTERSPEECH.

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

Mirco Musolesi, Nicholas D. Lane, 2013, UbiComp.

Visage: A Face Interpretation Engine for Smartphone Applications

Andrew T. Campbell, Nicholas D. Lane, Chuang-Wen You, 2012, MobiCASE.

Journey Towards Tiny Perceptual Super-Resolution pdf

Nicholas D. Lane, Lukasz Dudziak, Stylianos I. Venieris, 2020, ECCV.

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

Nicholas D. Lane, Nadia Bianchi-Berthouze, Amanda C. de C. Williams, 2020, ArXiv.

Evaluating the iPhone as a Mobile Platform for Pe ople-Centric Sensing Applications

Emiliano Miluzzo, Andrew T. Campbell, Nicholas D. Lane, 2008 .

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

Hui Xu, Nicholas D. Lane, Yuanchao Shu, 2020, Fog Computing.

The Second Life of a Sensor Integrating Real-world Experience in Virtual Worlds using Mobile Phones

Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell, 2008 .

SPINN: synergistic progressive inference of neural networks over device and cloud

Ilias Leontiadis, Nicholas D. Lane, Stylianos I. Venieris, 2020, MobiCom.

Learning Bodily and Temporal Attention in Protective Movement Behavior Detection pdf

Min Peng, Nicholas D. Lane, Chongyang Wang, 2019, ArXiv.

Mic2Mic: using cycle-consistent generative adversarial networks to overcome microphone variability in speech systems

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2019, IPSN.

HOW TO THE NEXT BILLION MOBILE APP BUGS

Ranveer Chandra, Suman Nath, Lenin Ravindranath, 2015 .

The Surprising Behavior Of Graph Neural Networks

Vivek Kothari, Nicholas D. Lane, Catherine Tong, 2019 .

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

Nicholas D. Lane, Matthieu Vegreville, Catherine Tong, 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX

Nicholas D. Lane, Fahim Kawsar, Sourav Bhattacharya, 2016, MobiSys '16 Companion.

Smart at what cost?: characterising mobile deep neural networks in the wild

Ilias Leontiadis, Nicholas D. Lane, Abhinav Mehrotra, 2021, Internet Measurement Conference.

DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device

Ilias Leontiadis, Nicholas D. Lane, Stylianos I. Venieris, 2021, ACM Trans. Embed. Comput. Syst..

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

Titouan Parcollet, Nicholas D. Lane, Daniel J. Beutel, 2021, ArXiv.

FRuDA: Framework for Distributed Adversarial Domain Adaptation pdf

Nicholas D. Lane, Fahim Kawsar, Nadia Bianchi-Berthouze, 2021, IEEE Transactions on Parallel and Distributed Systems.

Multi-Exit Semantic Segmentation Networks pdf

Nicholas D. Lane, Stylianos I. Venieris, Alexandros Kouris, 2021, ArXiv.

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout pdf

Nicholas D. Lane, Stylianos I. Venieris, Stefanos Laskaridis, 2021, NeurIPS.

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

Nicholas D. Lane, Javier Fernández-Marqués, Shyam A. Tailor, 2021, ICLR.

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

Nicholas D. Lane, Stylianos I. Venieris, Javier Fernandez-Marques, 2021, 2021 IEEE 29th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).

On-device Federated Learning with Flower pdf

Titouan Parcollet, Nicholas D. Lane, Akhil Mathur, 2021, ArXiv.

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

Nicholas D. Lane, Nadia Bianchi-Berthouze, Tin Lun Lam, 2021, ArXiv.

Do We Need Anisotropic Graph Neural Networks? pdf

Nicholas D. Lane, Pietro Lio, Felix L. Opolka, 2021, ICLR.

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

Ilias Leontiadis, Nicholas D. Lane, Stylianos I. Venieris, 2021, HotMobile.

Are Mobile DNN Accelerators Accelerating DNNs?

Aruna Balasubramanian, Nicholas D. Lane, Mohamed Abdelfattah, 2021, EMDL@MobiSys.

Temporal Kernel Consistency for Blind Video Super-Resolution

Nicholas D. Lane, Hongkai Wen, Mohamed S. Abdelfattah, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).