Senior Lecturer (Assoc. Professor)
Dept. of Computer Science & Tech.
University of Cambridge

Director
Samsung AI Center, Cambridge

ndl32@cam.ac.uk

@niclane7
LinkedIn
Google Scholar

MLSys Lab

Refereed Conference Papers

 

HAPI: Hardware-Aware Progressive Inference” Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane. 39th International Conference on Computer-Aided Design, ICCAD 2020.

FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition” Titouan Parcollet, Xinchi Qiu, Nicholas Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Quaternion Neural Networks for Multi-channel Distant Speech Recognition” Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas Lane, Mohamed Morchid. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification” Akhil Mathur, Nadia Berthouze, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems” Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Iterative Compression of End-to-End ASR Model using AutoML” Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo, Young-yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator” Mohamed S Abdelfattah, Łukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D Lane. 57th Annual Design Automation Conference 2020, DAC 2020.

SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud” Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida, Ilias Leontiadis, Nicholas D Lane. 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020.

Journey Towards Tiny Perceptual Super-Resolution” Royson Lee, Łukasz Dudziak, Mohamed S Abdelfattah, Stylianos Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane. 16th European Conference on Computer Vision, ECCV 2020.

Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation” Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D Lane. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020.

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning” Łukasz Dudziak, Mohamed S Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D Lane. 20th Annual Conference of the International Speech Communication Association, INTERSPEECH 2019.

A Systematic Study of Binary Neural Networks’ Optimisation” Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal. International Conference on Learning Representations, ICLR 2019.

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors” Royson Lee, Stylianos I Venieris, Łukasz Dudziak, Sourav Bhattacharya, Nicholas D, Lane. 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 

Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems” Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane. 18th International Conference on Information Processing in Sensor Networks, IPSN 2019 

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data” Chongyang Wang, Temitayo A Olugbade, Akhil Mathur, Amanda C De C Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze. 23rd International Symposium on Wearable Computers, ISWC 2019 [ Conference Note ]

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation” Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 

Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems” Jingao Xu, Zheng Yang, Hengjie Chen, Yunhao Liu, Xiancun Zhou, Jianbo Li, Nicholas Lane. 15th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2018

Cross-modal recurrent models for weight objective prediction from multimodal time-series data” Petar Veličković, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville. 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2018 May 2018

“Deterministic Binary Filters for Convolutional Neural Networks” W-S Tseng Vincent, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane. 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. July 2018

“Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices” Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Veličković, Leonid Joffe, Nicholas D Lane, Fahim Kawsar, Pietro Lió. Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks. IPSN 2018. April 2018

“BinaryCmd: Keyword Spotting with deterministic binary basis” Javier Fernández-Marqués, W-S Tseng Vincent, Sourav Bhattacharya, Nicholas D Lane. SysML 2018. February 2018

Deepeye: Resource efficient local execution of multiple deep vision models using wearable commodity hardware” Akhil Mathur, Nicholas D Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys 2017. June 2017

Accelerating mobile audio sensing algorithms through on-chip gpu offloading” Petko Georgiev, Nicholas D Lane, Cecilia Mascolo, David Chu. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys 2017. June 2017

Scaling health analytics to millions without compromising privacy using deep distributed behavior models” Petar Veličković, Nicholas D Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville. Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2017. May 2017

Density-Aware Compressive CrowdSensing” Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 16th International Conference on Information Processing in Sensor Networks, IPSN 2017. April 2017 [ Best Paper Winner ]

X-CNN: Cross-modal convolutional neural networks for sparse datasets” Petar Veličković, Duo Wang, Nicholas D Lane, Pietro Liò. 2016 IEEE Symposium Series on Computational Intelligence, 2016 SSCI. Dec. 2016 

“ppNav: Peer-to-Peer Indoor Navigation for Smartphones”  Zuwei Yin, Chenshu Wu, Zheng Yang, Nicholas Lane, Yunhao Liu. 22nd International Conference on Parallel and Distributed Systems, ICPADS 2016. Dec. 2016

“DXTK : Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit” Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar. 8th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2016. Dec. 2016

“Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables”  Sourav Bhattacharya, Nicholas D. Lane. 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016. Nov. 2016

LEO: Scheduling Sensor Inference Algorithms across Heterogeneous Mobile Processors and Network Resources” Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo. 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016. Oct. 2016

“Engagement-Aware Computing: Modelling User Engagement with Mobile Contexts” Akhil Mathur, Nicholas D. Lane, Fahim Kawsar. 18th International Conference on Ubiquitous Computing, UbiComp 2016. Sept. 2016

BodyScan: A Wearable Device for Contact-less Radio-based Sensing of Body-related Activities” Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar. 14th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June 2016

“DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices” Nicholas Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar. 15th International Conference on Information Processing in Sensor Networks, IPSN 2016. April 2016

HeadScan: A Wearable System for Radio-based Sensing of Head and Mouth-related Activities Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar. 15th International Conference on Information Processing in Sensor Networks, IPSN 2016. April 2016

DeepEar: Robust Smartphone Audio Sensing in Unconstrained Acoustic Environments using Deep Learning” Nicholas D. Lane, Petko Georgiev, Lorena Qendro. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015 [ Best Paper Winner ] 

“More with Less: Lowering User Burden in Mobile Crowdsourcing through Compressive Sensing” Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015

“Prime: A Framework for Co-located Multi-Device Apps” David Chu, Zengbin Zhang, Alec Wolman, Nicholas D. Lane. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015

“Unobtrusive Sensing Incremental Social Contexts using Fuzzy Class Incremental Learning” Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Clarence Yan, Nicholas D. Lane, Chunyan Miao. IEEE International Conference on Data Mining, ICDM 2015. Nov. 2015

“ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation” Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao. 13th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2015. May 2015

“Cost-Aware Compressive Sensing for Networked Sensing Systems” Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 14th International Conference on Information Processing in Sensor Networks, IPSN 2015. April 2015

“SIFT: Towards an Internet of Safe Things” Chieh-Jan Mike Liang, Börje Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Li, Yong Yu. 14th International Conference on Information Processing in Sensor Networks, IPSN 2015. April 2015

DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo. 12th ACM Conference on Embedded Network Sensor Systems, SenSys 2014. Nov. 2014

Connecting Personal-scale Sensing and Networked Community Behavior to Infer Human Activities” Nicholas D. Lane, Li Pengyu, Lin Zhou, Feng Zhao. 16th International Conference on Ubiquitous Computing, UbiComp 2014. Sept. 2014 [Best Paper Nominee]

“Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing” Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao.  20th Annual International Conference on Mobile Computing and Networking, MobiCom 2014. Sept. 2014

“Piggyback CrowdSensing (PCS): Energy Efficient Crowdsourcing of Mobile Sensor Data by Exploiting Smartphone App Opportunities” Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha. 11th ACM Conference on Embedded Network Sensor Systems, SenSys 2013. Nov. 2013

“Understanding the Coverage and Scalability of Place-centric CrowdSensing” Yohan Chon, Nicholas D. Lane, Yunjong Kim, Feng Zhao, Hojung Cha.  15th International Conference on Ubiquitous Computing, UbiComp 2013.  Sept. 2013

“Preference, Context and Communities: A Multi-faceted Approach to Predicting Smartphone App Usage Patterns” Ye Xu, Mu Lin, Hong Lu, Giuseppe Cardone, Nicholas D. Lane, Zhenyu Chen, Andrew Campbell, Tanzeem Choudhury.  17th International Symposium on Wearable Computers, ISWC 2013. Sept. 2013

“Unobtrusive Sleep Monitoring using Smartphones” Zhenyu Chen, Mu Lin, Fanglin Chen, Nicholas D. Lane, Giuseppe Cardone, Rui Wang, Tianxing Li, Yiqiang Chen, Tanzeem Choudhury, Andrew T. Campbell.  7th International ICST Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2013. May 2013

“CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on Smartphones” Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell.  11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“MoodScope: Building a Mood Sensor from Smartphone Usage Patterns” Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong.  11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“Automatically Characterizing Places with Opportunistic CrowdSensing using Smartphones” Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, Feng Zhao. 14th International Conference on Ubiquitous Computing, UbiComp 2012.   Sept. 2012 [ Best Paper Winner ]

“The Visage Face Interpretation Engine for Mobile Phone Applications” Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, Andrew T. Campbell. 4th International Conference on Mobile Computing Applications and Service, MobiCASE 2012. Oct. 2012 [ Best Paper Winner ]

“BeWell+: Multi-dimensional Wellbeing Monitoring with Community-guided User Feedback and Energy Optimization” Mu Lin, Nicholas D. Lane, Mashfiqui Rabbi, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew Campbell, Tanzeem Choudhury. Wireless Health 2012. Oct. 2012

“Towards Population Scale Activity Recognition: A Scalable Framework for Handling Data Diversity” Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury. 26th Conference on Artificial Intelligence, AAAI 2012. July 2012

Balancing Energy, Latency and Accuracy for Mobile Sensor Data Classification David Chu, Nicholas D. Lane, Ted Tsung-Te Lai, Cong Pang, Xiangying Meng, Qing Guo, Fan Li, Feng Zhao. 9th ACM Conference on Embedded Network Sensor Systems, SenSys 2011. Nov. 2011

Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN) Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell. 13th International Conference on Ubiquitous Computing, UbiComp 2011. Sept. 2011 [ Best Paper Nominee ]

BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing Nicholas D. Lane, Mashfiqui Mohammod, Mu Lin, Xiaochao Yang, Afsaneh Doryab, Hong Lu, Shahid Ali, Ethan Berke, Tanzeem Choudhury, Andrew T. Campbell. 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2011. May 2011

“The Jigsaw Continuous Sensing Engine for Mobile Phone Applications” Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 8th ACM Conference on Embedded Networked Sensor Systems, SenSys 2010. Nov. 2010

“Hapori: Context-based Local Search for Mobile Phones using Community Behavioral Modeling and Similarity” Nicholas D. Lane, Dimitrios Lymberopoulos, Feng Zhao, Andrew T. Campbell. 12th International Conference on Ubiquitous Computing, UbiComp 2010. Sept. 2010

“Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior” Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 24th Conference on Artificial Intelligence, AAAI 2010.  July 2010

“SoundSense: Scalable Sound Sensing for People-Centric Sensing Applications on Mobile Phones” Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 7th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2009. June 2009

“Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application” Emiliano Miluzzo, Nicholas D. Lane, Kristof Fodor, Ronald Peterson, Hong Lu, Mirco Musolesi, Shane B. Eisenman, Xiao Zheng, Andrew T. Campbell. 7th ACM Conference on Embedded Network Sensor Systems, SenSys 2008. Nov. 2008

“CaliBree: a Self-Calibration System for Mobile Sensor Networks” Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber. International Conference on Distributed Computing in Sensor Networks, DCOSS 2008. June 2008

“Techniques for Improving Opportunistic Sensor Networking Performance” Shane B. Eisenman, Nicholas D. Lane, Andrew T. Campbell. International Conference on Distributed Computing in Sensor Networks, DCOSS 2008. June 2008

“Cooperative Techniques Supporting Sensor-based People-centric Inferencing” Nicholas D. Lane, Hong Lu, Shane B. Eiseman, Andrew T. Campbell. 6th International Conference on Pervasive Computing, Pervasive 2008. May 2008

“CenceMe – Injecting Sensing Presence into Social Networking Applications (Invited Paper)” Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. 2nd European Conference on Smart Sensing and Context, EuroSSC 2007. Oct. 2007

“The BikeNet Mobile Sensing System for Cyclist Experience Mapping” Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell. 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2007. Nov. 2007

“People-Centric Urban Sensing (Invited Paper)” Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald Peterson. 2nd ACM/IEEE Annual International Wireless Internet Conference, WICON 2006. Aug. 2006

“An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 4th Australasian User Interface Conference, AUIC 2003. Feb. 2003

“MATI: A System for Accessing Travel Itinerary Information using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 16th British HCI Group Annual Conference, BCS HCI 2002. Sept. 2002

“Access to Personal Travel Itinerary Information Using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 13th Annual Conference of the Computer-Human Interaction Special Interest Group of the Ergonomics Society of Australia, OZCHI 2001. Nov. 2001

“Mobile Access to Travel Itinerary Information” Masood Masoodian, Nicholas D. Lane. 9th International Conference on Human-Computer Interaction, HCI International 2001. Aug. 2001

B. Refereed Workshop Papers

 

“Degree-Quant: Quantization-Aware Training for Graph Neural Networks” Shyam A. Tailor, Javier Fernandez-Marques, Nicholas D. Lane. ICML 2020 Workshop in Graph Representation Learning and Beyond, July 2020

“Are Accelerometers for Activity Recognition a Dead-end?” Catherine Tong, Shyam A Tailor, Nicholas D Lane. 21st International Workshop on Mobile Computing Systems and Applications, HotMobile ’20. February 2020

“The Final Frontier: Deep Learning in Space” Vivek Kothari, Edgar Liberis, Nicholas D Lane. 21st International Workshop on Mobile Computing Systems and Applications, HotMobile ’20. February 2020

“Distributed Asynchronous Domain Adaptation:Towards Making Domain Adaptation More Practical in Real-World Systems” Akhil Mathur, Shaoduo Gan, Anton Isopoussu, Nadia Berthouze, Fahim Kawsar, Nicholas D. Lane. Systems for ML Workshop, December 2019

“Neural networks on microcontrollers: saving memory at inference via operator reordering” Edgar Liberis, Nicholas D Lane. On-Device Intelligence Workshop (co-located with MLSys 2020), February 2020

“Unsupervised Domain Adaptation for Robust Sensory Systems” Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D Lane, Fahim Kawsar. Continual and Multimodal Learning for Internet of Things Workshop, CML-IOT ’19. September 2019

“Learning Bodily and Temporal Attention in Protective Movement Behavior Detection” Chongyang Wang, Min Peng, Temitayo Olugbade, Nicholas D. Lane, Amanda Williams, Nadia Berthouze. Workshop on Recognition, Treatment and Management of Pain and Distress, PD & EMOPAIN ’19. September 2019

“EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices” Mario Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I Venieris, Nicholas D Lane. 3rd International Workshop on Embedded and Mobile Deep Learning, EMDL ’19. June 2019

“A Vision for Adaptive and Generalizable Audio-Sensing Systems” Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D Lane. 4th International Workshop on Social Sensing, SocialSens ’19. April 2019

“On Robustness of Cloud Speech APIs: An Early Characterization” Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D Lane, Nadia Berthouze. 6th International Workshop on Human Activity Sensing Corpus and Applications, HASCA. February 2018

“Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices” Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar,Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Mathieu Vegreville. International Workshop on Integrating Physical Activity and Health Aspects in Everyday Mobility, UbiActivity ’18. February 2018

“On-the-fly Deterministic Binary Filters for Memory Efficient Keyword Spotting Applications on Embedded Devices” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 2nd International Workshop on
Embedded and Mobile Deep Learning, EMDL ’18. June 2018

“From Smart to Deep: Robust Activity Recognition on Smartwatches using Deep Learning” Sourav Bhattacharya, Nicholas D. Lane. WristSense 2016: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, WristSense 2016. Mar. 2016 [ Best Paper Winner ]

“An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. International Workshop on Internet of Things towards Applications, IoT-App 2015. Nov. 2015

“Can Deep Learning Revolutionize Mobile Sensing?” Nicholas D. Lane, Petko Georgiev. 16th Workshop on Mobile Computing Systems and Applications, HotMobile 2015. Feb. 2015

“Personal Informatics Can Be Stressful: Collecting, Reflecting, and Embedding Stress Data in Personal Informatics” Stephen Voida, Tanzeem Choudhury, Geri Gay, Mark Matthews, Phil Adams, Mashfiqui Rabbi, JP Pollak, Mengxi (Chrissie) Chi, Matthew Green, Hong Lu, Nicholas D. Lane, Mu Lin, Andrew T. Campbell. Personal Informatics in the Wild: Hacking Habits for Health and Happiness, April 2013

“On the Feasibility of User De-Anonymization from Shared Mobile Sensor Data” Nicholas D. Lane, Junyuan Xie,Thomas Moscibroda, Feng Zhao. 3rd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2012. Nov. 2012

Can Your Smartphone Infer Your Mood Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong. 2nd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2011. Nov. 2011 [ Best Paper Winner ]

“Tapping into the Vibe of the City Using VibN” Emiliano Miluzzo, Michela Papandrea, Nicholas D. Lane, Andy M. Sarrovo, Silvia Giordano, Andrew T. Campbell. 1st International Symposium on Social and Community Intelligence, SCI 2011. Sept. 2011

“Pocket, Bag, Hand, etc.- Automatically Detecting Phone Context through Discovery” Emiliano Miluzzo, Michela Papandrea, Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 1st International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2010. Nov. 2010

“Research in the App Store Era: Experiences from the CenceMe App Deployment on the iPhone” Emiliano Miluzzo, Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 1st International Workshop Research in the Large: Using App Stores, Markets, and other Wide Distribution Channels in UbiComp Research. Sept. 2010

“Evaluating the iPhone as a Mobile Platform for People-Centric Sensing Applications” Emiliano Miluzzo, James M. H. Oakley, Hong Lu, Nicholas D. Lane, Ronald A. Peterson, Andrew T. Campbell. , International Workshop on Urban, Community, and Social Applications of Networked Sensing Systems, UrbanSense 2008. Nov. 2008

“The Second Life of a Sensor: Integrating Real-world Experience in Virtual Worlds using Mobile Phones” Mirco Musolesi, Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Tanzeem Choudhury, Andrew T. Campbell. , 5th Workshop on Embedded Networked Sensors, HotEmNets 2008. June 2008

“Bubble-Sensing: A New Paradigm for Binding a Sensing Task to the Physical World using Mobile Phones” Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. International Workshop on Mobile Devices and Urban Sensing, MODUS 2008. April 2008

“Urban Sensing Systems: Opportunistic or Participatory?” Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell. 9th Workshop on Mobile Computing Systems and Applications, HotMobile 2008. Feb. 2008

“Ambient Beacon Localization: Using Sensed Characteristics of the Physical World to Localize Mobile Sensors” Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 4th IEEE Workshop on Embedded Networked Sensors, EmNets 2007. June, 2007

“MetroSense Project: People-Centric Sensing at Scale” Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell. 1st Workshop on World-Sensor-Web: Mobile Device Centric Sensory Networks and Applications, WSW 2006. Oct. 2006

“The Influence of Microprocessor Instructions on the Energy Consumption of Wireless Sensor Networks” Nicholas D. Lane, Andrew T. Campbell. 3rd IEEE Workshop on Embedded Networked Sensors, EmNets 2006. May 2006

C. Refereed Journal and Magazine Articles

 

IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Nicholas D Lane, Gregory D Abowd, Thomas Ploetz. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 4 Issue 3. September 2020.

A hybrid deep learning architecture for privacy-preserving mobile analytics Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R Rabiee, Nicholas D Lane, Hamed Haddadi. IEEE Internet of Things Journal (JIOT), Volume 7 Issue 5. January 2020.

Learning to Listen… On-Device: Present and future perspectives of on-device ASR Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D Lane. ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 23 Issue 4. May 2020.

Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil CP Ramos, Stylianos I Venieris, Nicholas D Lane, Cecilia Mascolo. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 4 Issue 2. June 2020.

Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices Catherine Tong, Matthew Craner, Matthieu Vegreville, Nicholas D Lane. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 3 Issue 3. September 2019.

The Deep (Learning) Transformation of Mobile and Embedded Computing Nicholas D Lane, Pete Warden. IEEE Computer, Volume 51 Issue 5. May 2018.

Multimodal Deep Learning for Activity and Context Recognition Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D Lane, Cecilia Mascolo, Mahesh K Marina, Fahim Kawsar. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 1 Issue 4.August 2018.

How to SMASH the next billion mobile app bugs? Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath, Feng Zhao. ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 18 Issue 5. May 2015.

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing Nicholas D. Lane, Mu Lin, Mashfiqui Rabbi, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew Campbell, Tanzeem Choudhury. ACM/Springer Journal of Mobile Networks and Applications (MONET), January 2014: 1-15

Community Similarity Networks Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao. ACM/Springer Journal of Personal and Ubiquitous Computing (PUC), Special Issue of Cross-Community Mining, May 2013

Community-Aware Smartphone Sensing Systems Nicholas D. Lane.  IEEE Internet Computing 16 (3), 60-64, 2012

“Cooperative Communities (CoCo): Exploiting Social Networks for Large scale Modeling of Human Behavior” Nicholas D. Lane, Ye Xu, Hong Lu, Shane Eisenman, Tanzeem Choudhury, Andrew Campbell. IEEE Pervasive Computing, Special Issue on Large-Scale Opportunistic Sensing, Volume 10 Issue 4, October, 2011

“Survey of Mobile Phone Sensing” Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell. IEEE Communications Magazine, September 2010

“Bubble-Sensing: Binding Sensing Tasks to the Physical World” Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. Journal of Pervasive and Mobile Computing (PMC), 6 (1), 58-71, 2010

“BikeNet: A Mobile Sensing System for Cyclist Experience Mapping” Shane Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald Peterson, Gahng Seop Ahn, Andrew T. Campbell. ACM Transactions on Sensor Networks (TOSN), 6 (1), 2009.

“The Rise of People-Centric Sensing” Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson, Hong Lu, Xiao Zheng, Mirco Musolesi, Kristof Fodor, Gahng-Seop Ahn. IEEE Internet Computing, Special Issue on Mesh Networks, IEEE 12 (4), 12-21, 2008

D. Refereed Posters

 

“Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search” Mohamed S Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D Lane. 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2020. February 2020

“Poster: Deterministic Binary Filters for Keyword Spotting Applications” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“Poster: Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices” Milad Alizadeh, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“Poster: Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data Catherine Tong, Gabriella M Harari, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitmann, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“BinaryCmd: Keyword Spotting with deterministic binary basis” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 19th International Workshop on Mobile Computing Systems and Applications, HotMobile 2018. Feb. 2018

“Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices” Valentin Radu, Nicholas D Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K Marina, Fahim Kawsar. ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016. Sept. 2016

“Poster: Towards Radio-based Sensing on Wearables” Biyi Fang, Nicholas D Lane, Mi Zhang, Aidan Boran, Fahim Kawsar. 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June. 2016

“Towards Radio-based Activity Sensing on Wearables” Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar. 17th International Workshop on Mobile Computing Systems and Applications, HotMobile 2016. Feb. 2016

“CarSafe: A Driver Safety App that Detects Dangerous Driving Behavior using Dual-Cameras on Smartphones” Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell. 14th International Conference on Ubiquitous Computing, UbiComp 2012. Sept. 2012

“Virtual Sensing Range (poster abstract)” Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell. 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2006. Nov. 2006

 

E. Refereed Videos

 

“CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on Smartphones” Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell. 11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“MoodScope: Building a Mood Sensor from Smartphone Usage Patterns” Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong. , 11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013, June 2013

 

F. Refereed Demos

 

“Demo: Accelerated Deep Inference on Embedded Devices using DeepX Toolkit” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June. 2016

“Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX” Nicholas D Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar.  15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016, April. 2016

“DeepX: A Software Accelerator for Squeezing Deep Learning onto Wearables, Phones and Things” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. 17th International Workshop on Mobile Computing Systems and Applications, HotMobile 2016. Feb. 2016

“CarSafe Demo: Supporting Driver Safety using Dual-cameras on Smartphones” Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell.  14th International Conference on Ubiquitous Computing, UbiComp 2012, Sept. 2012

“Transforming the Social Networking Experience with Sensing Presence from Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng. 7th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, Nov. 2008

“CenceMe: Injecting Sensing Presence into Social Network Applications using Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng. , 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2008. May 2008.

“CenceMe: Injecting Sensing Presence into Social Network Applications using Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristof Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng.  9th Workshop on Mobile Computing Systems and Applications, HotMobile 2008. Feb. 2008.

 

G. Refereed Work-in-Progress

“On-device Deep Reinforcement Learning for Embedded and Mobile Devices” Rui Lowe, Sourav Bhattacharya, David Nunes, Akhil Mathur, Nicholas D. Lane.  1st International Workshop on Embedded and Mobile Deep Learning, EMDL ’17. June 2017.

 

H. Theses

“Community-guided Mobile Phone Sensing Systems” Nicholas D. Lane. Ph.D. thesis, Dartmouth College, 2011.

 

 

Refereed Conference Papers

 

HAPI: Hardware-Aware Progressive Inference” Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane. 39th International Conference on Computer-Aided Design, ICCAD 2020.

FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition” Titouan Parcollet, Xinchi Qiu, Nicholas Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Quaternion Neural Networks for Multi-channel Distant Speech Recognition” Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas Lane, Mohamed Morchid. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification” Akhil Mathur, Nadia Berthouze, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems” Ravichander Vipperla, Sangjun Park, Kihyun Choo, Samin Ishtiaq, Kyoungbo Min, Sourav Bhattacharya, Abhinav Mehrotra, Alberto Gil C. P. Ramos, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Iterative Compression of End-to-End ASR Model using AutoML” Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo, Young-yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane. 21st Annual Conference of the International Speech Communication Association, INTERSPEECH 2020.

Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator” Mohamed S Abdelfattah, Łukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D Lane. 57th Annual Design Automation Conference 2020, DAC 2020.

SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud” Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida, Ilias Leontiadis, Nicholas D Lane. 26th Annual International Conference on Mobile Computing and Networking, MobiCom 2020.

Journey Towards Tiny Perceptual Super-Resolution” Royson Lee, Łukasz Dudziak, Mohamed S Abdelfattah, Stylianos Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane. 16th European Conference on Computer Vision, ECCV 2020.

Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation” Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D Lane. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020.

ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning” Łukasz Dudziak, Mohamed S Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D Lane. 20th Annual Conference of the International Speech Communication Association, INTERSPEECH 2019.

A Systematic Study of Binary Neural Networks’ Optimisation” Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal. International Conference on Learning Representations, ICLR 2019.

MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors” Royson Lee, Stylianos I Venieris, Łukasz Dudziak, Sourav Bhattacharya, Nicholas D, Lane. 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019 

Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems” Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane. 18th International Conference on Information Processing in Sensor Networks, IPSN 2019 

Recurrent network based automatic detection of chronic pain protective behavior using MoCap and sEMG data” Chongyang Wang, Temitayo A Olugbade, Akhil Mathur, Amanda C De C Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze. 23rd International Symposium on Wearable Computers, ISWC 2019 [ Conference Note ]

FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation” Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D. Lane, Fahim Kawsar 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019 

Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems” Jingao Xu, Zheng Yang, Hengjie Chen, Yunhao Liu, Xiancun Zhou, Jianbo Li, Nicholas Lane. 15th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2018

Cross-modal recurrent models for weight objective prediction from multimodal time-series data” Petar Veličković, Laurynas Karazija, Nicholas D. Lane, Sourav Bhattacharya, Edgar Liberis, Pietro Liò, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville. 12th EAI International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2018 May 2018

“Deterministic Binary Filters for Convolutional Neural Networks” W-S Tseng Vincent, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane. 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. July 2018

“Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices” Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Veličković, Leonid Joffe, Nicholas D Lane, Fahim Kawsar, Pietro Lió. Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks. IPSN 2018. April 2018

“BinaryCmd: Keyword Spotting with deterministic binary basis” Javier Fernández-Marqués, W-S Tseng Vincent, Sourav Bhattacharya, Nicholas D Lane. SysML 2018. February 2018

Deepeye: Resource efficient local execution of multiple deep vision models using wearable commodity hardware” Akhil Mathur, Nicholas D Lane, Sourav Bhattacharya, Aidan Boran, Claudio Forlivesi, Fahim Kawsar. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys 2017. June 2017

Accelerating mobile audio sensing algorithms through on-chip gpu offloading” Petko Georgiev, Nicholas D Lane, Cecilia Mascolo, David Chu. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys 2017. June 2017

Scaling health analytics to millions without compromising privacy using deep distributed behavior models” Petar Veličković, Nicholas D Lane, Sourav Bhattacharya, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville. Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. PervasiveHealth 2017. May 2017

Density-Aware Compressive CrowdSensing” Xiaohong Hao, Liwen Xu, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 16th International Conference on Information Processing in Sensor Networks, IPSN 2017. April 2017 [ Best Paper Winner ]

X-CNN: Cross-modal convolutional neural networks for sparse datasets” Petar Veličković, Duo Wang, Nicholas D Lane, Pietro Liò. 2016 IEEE Symposium Series on Computational Intelligence, 2016 SSCI. Dec. 2016 

“ppNav: Peer-to-Peer Indoor Navigation for Smartphones”  Zuwei Yin, Chenshu Wu, Zheng Yang, Nicholas Lane, Yunhao Liu. 22nd International Conference on Parallel and Distributed Systems, ICPADS 2016. Dec. 2016

“DXTK : Enabling Resource-efficient Deep Learning on Mobile and Embedded Devices with the DeepX Toolkit” Nicholas D. Lane, Sourav Bhattacharya, Akhil Mathur, Claudio Forlivesi, Fahim Kawsar. 8th EAI International Conference on Mobile Computing, Applications and Services, MobiCASE 2016. Dec. 2016

“Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables”  Sourav Bhattacharya, Nicholas D. Lane. 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016. Nov. 2016

LEO: Scheduling Sensor Inference Algorithms across Heterogeneous Mobile Processors and Network Resources” Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo. 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016. Oct. 2016

“Engagement-Aware Computing: Modelling User Engagement with Mobile Contexts” Akhil Mathur, Nicholas D. Lane, Fahim Kawsar. 18th International Conference on Ubiquitous Computing, UbiComp 2016. Sept. 2016

BodyScan: A Wearable Device for Contact-less Radio-based Sensing of Body-related Activities” Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar. 14th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June 2016

“DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices” Nicholas Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Lei Jiao, Lorena Qendro, Fahim Kawsar. 15th International Conference on Information Processing in Sensor Networks, IPSN 2016. April 2016

HeadScan: A Wearable System for Radio-based Sensing of Head and Mouth-related Activities Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar. 15th International Conference on Information Processing in Sensor Networks, IPSN 2016. April 2016

DeepEar: Robust Smartphone Audio Sensing in Unconstrained Acoustic Environments using Deep Learning” Nicholas D. Lane, Petko Georgiev, Lorena Qendro. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015 [ Best Paper Winner ] 

“More with Less: Lowering User Burden in Mobile Crowdsourcing through Compressive Sensing” Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015

“Prime: A Framework for Co-located Multi-Device Apps” David Chu, Zengbin Zhang, Alec Wolman, Nicholas D. Lane. 17th International Conference on Ubiquitous Computing, UbiComp 2015. Sept. 2015

“Unobtrusive Sensing Incremental Social Contexts using Fuzzy Class Incremental Learning” Zhenyu Chen, Yiqiang Chen, Xingyu Gao, Shuangquan Wang, Lisha Hu, Chenggang Clarence Yan, Nicholas D. Lane, Chunyan Miao. IEEE International Conference on Data Mining, ICDM 2015. Nov. 2015

“ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation” Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao. 13th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2015. May 2015

“Cost-Aware Compressive Sensing for Networked Sensing Systems” Liwen Xu, Xiaohong Hao, Nicholas D. Lane, Xin Liu, Thomas Moscibroda. 14th International Conference on Information Processing in Sensor Networks, IPSN 2015. April 2015

“SIFT: Towards an Internet of Safe Things” Chieh-Jan Mike Liang, Börje Karlsson, Nicholas D. Lane, Feng Zhao, Junbei Zhang, Zheyi Pan, Zhao Li, Yong Yu. 14th International Conference on Information Processing in Sensor Networks, IPSN 2015. April 2015

DSP.Ear: Leveraging Co-Processor Support for Continuous Audio Sensing on Smartphones Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo. 12th ACM Conference on Embedded Network Sensor Systems, SenSys 2014. Nov. 2014

Connecting Personal-scale Sensing and Networked Community Behavior to Infer Human Activities” Nicholas D. Lane, Li Pengyu, Lin Zhou, Feng Zhao. 16th International Conference on Ubiquitous Computing, UbiComp 2014. Sept. 2014 [Best Paper Nominee]

“Caiipa: Automated Large-scale Mobile App Testing through Contextual Fuzzing” Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Börje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao.  20th Annual International Conference on Mobile Computing and Networking, MobiCom 2014. Sept. 2014

“Piggyback CrowdSensing (PCS): Energy Efficient Crowdsourcing of Mobile Sensor Data by Exploiting Smartphone App Opportunities” Nicholas D. Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, Hojung Cha. 11th ACM Conference on Embedded Network Sensor Systems, SenSys 2013. Nov. 2013

“Understanding the Coverage and Scalability of Place-centric CrowdSensing” Yohan Chon, Nicholas D. Lane, Yunjong Kim, Feng Zhao, Hojung Cha.  15th International Conference on Ubiquitous Computing, UbiComp 2013.  Sept. 2013

“Preference, Context and Communities: A Multi-faceted Approach to Predicting Smartphone App Usage Patterns” Ye Xu, Mu Lin, Hong Lu, Giuseppe Cardone, Nicholas D. Lane, Zhenyu Chen, Andrew Campbell, Tanzeem Choudhury.  17th International Symposium on Wearable Computers, ISWC 2013. Sept. 2013

“Unobtrusive Sleep Monitoring using Smartphones” Zhenyu Chen, Mu Lin, Fanglin Chen, Nicholas D. Lane, Giuseppe Cardone, Rui Wang, Tianxing Li, Yiqiang Chen, Tanzeem Choudhury, Andrew T. Campbell.  7th International ICST Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2013. May 2013

“CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on Smartphones” Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell.  11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“MoodScope: Building a Mood Sensor from Smartphone Usage Patterns” Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong.  11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“Automatically Characterizing Places with Opportunistic CrowdSensing using Smartphones” Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, Feng Zhao. 14th International Conference on Ubiquitous Computing, UbiComp 2012.   Sept. 2012 [ Best Paper Winner ]

“The Visage Face Interpretation Engine for Mobile Phone Applications” Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, Andrew T. Campbell. 4th International Conference on Mobile Computing Applications and Service, MobiCASE 2012. Oct. 2012 [ Best Paper Winner ]

“BeWell+: Multi-dimensional Wellbeing Monitoring with Community-guided User Feedback and Energy Optimization” Mu Lin, Nicholas D. Lane, Mashfiqui Rabbi, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew Campbell, Tanzeem Choudhury. Wireless Health 2012. Oct. 2012

“Towards Population Scale Activity Recognition: A Scalable Framework for Handling Data Diversity” Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury. 26th Conference on Artificial Intelligence, AAAI 2012. July 2012

Balancing Energy, Latency and Accuracy for Mobile Sensor Data Classification David Chu, Nicholas D. Lane, Ted Tsung-Te Lai, Cong Pang, Xiangying Meng, Qing Guo, Fan Li, Feng Zhao. 9th ACM Conference on Embedded Network Sensor Systems, SenSys 2011. Nov. 2011

Enabling Large-scale Human Activity Inference on Smartphones using Community Similarity Networks (CSN) Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell. 13th International Conference on Ubiquitous Computing, UbiComp 2011. Sept. 2011 [ Best Paper Nominee ]

BeWell: A Smartphone Application to Monitor, Model and Promote Wellbeing Nicholas D. Lane, Mashfiqui Mohammod, Mu Lin, Xiaochao Yang, Afsaneh Doryab, Hong Lu, Shahid Ali, Ethan Berke, Tanzeem Choudhury, Andrew T. Campbell. 5th International ICST Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2011. May 2011

“The Jigsaw Continuous Sensing Engine for Mobile Phone Applications” Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 8th ACM Conference on Embedded Networked Sensor Systems, SenSys 2010. Nov. 2010

“Hapori: Context-based Local Search for Mobile Phones using Community Behavioral Modeling and Similarity” Nicholas D. Lane, Dimitrios Lymberopoulos, Feng Zhao, Andrew T. Campbell. 12th International Conference on Ubiquitous Computing, UbiComp 2010. Sept. 2010

“Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior” Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 24th Conference on Artificial Intelligence, AAAI 2010.  July 2010

“SoundSense: Scalable Sound Sensing for People-Centric Sensing Applications on Mobile Phones” Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell. 7th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2009. June 2009

“Sensing Meets Mobile Social Networks: The Design, Implementation and Evaluation of the CenceMe Application” Emiliano Miluzzo, Nicholas D. Lane, Kristof Fodor, Ronald Peterson, Hong Lu, Mirco Musolesi, Shane B. Eisenman, Xiao Zheng, Andrew T. Campbell. 7th ACM Conference on Embedded Network Sensor Systems, SenSys 2008. Nov. 2008

“CaliBree: a Self-Calibration System for Mobile Sensor Networks” Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber. International Conference on Distributed Computing in Sensor Networks, DCOSS 2008. June 2008

“Techniques for Improving Opportunistic Sensor Networking Performance” Shane B. Eisenman, Nicholas D. Lane, Andrew T. Campbell. International Conference on Distributed Computing in Sensor Networks, DCOSS 2008. June 2008

“Cooperative Techniques Supporting Sensor-based People-centric Inferencing” Nicholas D. Lane, Hong Lu, Shane B. Eiseman, Andrew T. Campbell. 6th International Conference on Pervasive Computing, Pervasive 2008. May 2008

“CenceMe – Injecting Sensing Presence into Social Networking Applications (Invited Paper)” Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. 2nd European Conference on Smart Sensing and Context, EuroSSC 2007. Oct. 2007

“The BikeNet Mobile Sensing System for Cyclist Experience Mapping” Shane B. Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell. 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2007. Nov. 2007

“People-Centric Urban Sensing (Invited Paper)” Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald Peterson. 2nd ACM/IEEE Annual International Wireless Internet Conference, WICON 2006. Aug. 2006

“An Empirical Study of Textual and Graphical Travel Itinerary Visualization using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 4th Australasian User Interface Conference, AUIC 2003. Feb. 2003

“MATI: A System for Accessing Travel Itinerary Information using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 16th British HCI Group Annual Conference, BCS HCI 2002. Sept. 2002

“Access to Personal Travel Itinerary Information Using Mobile Phones” Masood Masoodian, Nicholas D. Lane. 13th Annual Conference of the Computer-Human Interaction Special Interest Group of the Ergonomics Society of Australia, OZCHI 2001. Nov. 2001

“Mobile Access to Travel Itinerary Information” Masood Masoodian, Nicholas D. Lane. 9th International Conference on Human-Computer Interaction, HCI International 2001. Aug. 2001

B. Refereed Workshop Papers

 

“Degree-Quant: Quantization-Aware Training for Graph Neural Networks” Shyam A. Tailor, Javier Fernandez-Marques, Nicholas D. Lane. ICML 2020 Workshop in Graph Representation Learning and Beyond, July 2020

“Are Accelerometers for Activity Recognition a Dead-end?” Catherine Tong, Shyam A Tailor, Nicholas D Lane. 21st International Workshop on Mobile Computing Systems and Applications, HotMobile ’20. February 2020

“The Final Frontier: Deep Learning in Space” Vivek Kothari, Edgar Liberis, Nicholas D Lane. 21st International Workshop on Mobile Computing Systems and Applications, HotMobile ’20. February 2020

“Distributed Asynchronous Domain Adaptation:Towards Making Domain Adaptation More Practical in Real-World Systems” Akhil Mathur, Shaoduo Gan, Anton Isopoussu, Nadia Berthouze, Fahim Kawsar, Nicholas D. Lane. Systems for ML Workshop, December 2019

“Neural networks on microcontrollers: saving memory at inference via operator reordering” Edgar Liberis, Nicholas D Lane. On-Device Intelligence Workshop (co-located with MLSys 2020), February 2020

“Unsupervised Domain Adaptation for Robust Sensory Systems” Akhil Mathur, Anton Isopoussu, Nadia Berthouze, Nicholas D Lane, Fahim Kawsar. Continual and Multimodal Learning for Internet of Things Workshop, CML-IOT ’19. September 2019

“Learning Bodily and Temporal Attention in Protective Movement Behavior Detection” Chongyang Wang, Min Peng, Temitayo Olugbade, Nicholas D. Lane, Amanda Williams, Nadia Berthouze. Workshop on Recognition, Treatment and Management of Pain and Distress, PD & EMOPAIN ’19. September 2019

“EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices” Mario Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I Venieris, Nicholas D Lane. 3rd International Workshop on Embedded and Mobile Deep Learning, EMDL ’19. June 2019

“A Vision for Adaptive and Generalizable Audio-Sensing Systems” Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D Lane. 4th International Workshop on Social Sensing, SocialSens ’19. April 2019

“On Robustness of Cloud Speech APIs: An Early Characterization” Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Robert Smith, Nicholas D Lane, Nadia Berthouze. 6th International Workshop on Human Activity Sensing Corpus and Applications, HASCA. February 2018

“Monitoring Daily Activities of Multiple Sclerosis Patients with Connected Health Devices” Sourav Bhattacharya, Alberto Gil C. P. Ramos, Fahim Kawsar,Nicholas D. Lane, Lynn M. Gionta, Joanne Manidis, Greg Silvesti, Mathieu Vegreville. International Workshop on Integrating Physical Activity and Health Aspects in Everyday Mobility, UbiActivity ’18. February 2018

“On-the-fly Deterministic Binary Filters for Memory Efficient Keyword Spotting Applications on Embedded Devices” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 2nd International Workshop on
Embedded and Mobile Deep Learning, EMDL ’18. June 2018

“From Smart to Deep: Robust Activity Recognition on Smartwatches using Deep Learning” Sourav Bhattacharya, Nicholas D. Lane. WristSense 2016: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, WristSense 2016. Mar. 2016 [ Best Paper Winner ]

“An Early Resource Characterization of Deep Learning on Wearables, Smartphones and Internet-of-Things Devices” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. International Workshop on Internet of Things towards Applications, IoT-App 2015. Nov. 2015

“Can Deep Learning Revolutionize Mobile Sensing?” Nicholas D. Lane, Petko Georgiev. 16th Workshop on Mobile Computing Systems and Applications, HotMobile 2015. Feb. 2015

“Personal Informatics Can Be Stressful: Collecting, Reflecting, and Embedding Stress Data in Personal Informatics” Stephen Voida, Tanzeem Choudhury, Geri Gay, Mark Matthews, Phil Adams, Mashfiqui Rabbi, JP Pollak, Mengxi (Chrissie) Chi, Matthew Green, Hong Lu, Nicholas D. Lane, Mu Lin, Andrew T. Campbell. Personal Informatics in the Wild: Hacking Habits for Health and Happiness, April 2013

“On the Feasibility of User De-Anonymization from Shared Mobile Sensor Data” Nicholas D. Lane, Junyuan Xie,Thomas Moscibroda, Feng Zhao. 3rd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2012. Nov. 2012

Can Your Smartphone Infer Your Mood Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong. 2nd International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2011. Nov. 2011 [ Best Paper Winner ]

“Tapping into the Vibe of the City Using VibN” Emiliano Miluzzo, Michela Papandrea, Nicholas D. Lane, Andy M. Sarrovo, Silvia Giordano, Andrew T. Campbell. 1st International Symposium on Social and Community Intelligence, SCI 2011. Sept. 2011

“Pocket, Bag, Hand, etc.- Automatically Detecting Phone Context through Discovery” Emiliano Miluzzo, Michela Papandrea, Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 1st International Workshop on Sensing Applications on Mobile Phones, PhoneSense 2010. Nov. 2010

“Research in the App Store Era: Experiences from the CenceMe App Deployment on the iPhone” Emiliano Miluzzo, Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 1st International Workshop Research in the Large: Using App Stores, Markets, and other Wide Distribution Channels in UbiComp Research. Sept. 2010

“Evaluating the iPhone as a Mobile Platform for People-Centric Sensing Applications” Emiliano Miluzzo, James M. H. Oakley, Hong Lu, Nicholas D. Lane, Ronald A. Peterson, Andrew T. Campbell. , International Workshop on Urban, Community, and Social Applications of Networked Sensing Systems, UrbanSense 2008. Nov. 2008

“The Second Life of a Sensor: Integrating Real-world Experience in Virtual Worlds using Mobile Phones” Mirco Musolesi, Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Tanzeem Choudhury, Andrew T. Campbell. , 5th Workshop on Embedded Networked Sensors, HotEmNets 2008. June 2008

“Bubble-Sensing: A New Paradigm for Binding a Sensing Task to the Physical World using Mobile Phones” Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. International Workshop on Mobile Devices and Urban Sensing, MODUS 2008. April 2008

“Urban Sensing Systems: Opportunistic or Participatory?” Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi, Emiliano Miluzzo, Andrew T. Campbell. 9th Workshop on Mobile Computing Systems and Applications, HotMobile 2008. Feb. 2008

“Ambient Beacon Localization: Using Sensed Characteristics of the Physical World to Localize Mobile Sensors” Nicholas D. Lane, Hong Lu, Andrew T. Campbell. 4th IEEE Workshop on Embedded Networked Sensors, EmNets 2007. June, 2007

“MetroSense Project: People-Centric Sensing at Scale” Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson, Gahng-Seop Ahn, Andrew T. Campbell. 1st Workshop on World-Sensor-Web: Mobile Device Centric Sensory Networks and Applications, WSW 2006. Oct. 2006

“The Influence of Microprocessor Instructions on the Energy Consumption of Wireless Sensor Networks” Nicholas D. Lane, Andrew T. Campbell. 3rd IEEE Workshop on Embedded Networked Sensors, EmNets 2006. May 2006

C. Refereed Journal and Magazine Articles

 

IMUTube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram, Yan Gao, Nicholas D Lane, Gregory D Abowd, Thomas Ploetz. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 4 Issue 3. September 2020.

A hybrid deep learning architecture for privacy-preserving mobile analytics Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R Rabiee, Nicholas D Lane, Hamed Haddadi. IEEE Internet of Things Journal (JIOT), Volume 7 Issue 5. January 2020.

Learning to Listen… On-Device: Present and future perspectives of on-device ASR Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D Lane. ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 23 Issue 4. May 2020.

Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices Sourav Bhattacharya, Dionysis Manousakas, Alberto Gil CP Ramos, Stylianos I Venieris, Nicholas D Lane, Cecilia Mascolo. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 4 Issue 2. June 2020.

Tracking Fatigue and Health State in Multiple Sclerosis Patients Using Connnected Wellness Devices Catherine Tong, Matthew Craner, Matthieu Vegreville, Nicholas D Lane. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 3 Issue 3. September 2019.

The Deep (Learning) Transformation of Mobile and Embedded Computing Nicholas D Lane, Pete Warden. IEEE Computer, Volume 51 Issue 5. May 2018.

Multimodal Deep Learning for Activity and Context Recognition Valentin Radu, Catherine Tong, Sourav Bhattacharya, Nicholas D Lane, Cecilia Mascolo, Mahesh K Marina, Fahim Kawsar. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies IMWUT, Volume 1 Issue 4.August 2018.

How to SMASH the next billion mobile app bugs? Ranveer Chandra, Börje F. Karlsson, Nicholas D. Lane, Chieh-Jan Mike Liang, Suman Nath, Jitu Padhye, Lenin Ravindranath, Feng Zhao. ACM SIGMOBILE Mobile Computing and Communications Review (GetMobile), Volume 18 Issue 5. May 2015.

BeWell: Sensing Sleep, Physical Activities and Social Interactions to Promote Wellbeing Nicholas D. Lane, Mu Lin, Mashfiqui Rabbi, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew Campbell, Tanzeem Choudhury. ACM/Springer Journal of Mobile Networks and Applications (MONET), January 2014: 1-15

Community Similarity Networks Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T. Campbell, Feng Zhao. ACM/Springer Journal of Personal and Ubiquitous Computing (PUC), Special Issue of Cross-Community Mining, May 2013

Community-Aware Smartphone Sensing Systems Nicholas D. Lane.  IEEE Internet Computing 16 (3), 60-64, 2012

“Cooperative Communities (CoCo): Exploiting Social Networks for Large scale Modeling of Human Behavior” Nicholas D. Lane, Ye Xu, Hong Lu, Shane Eisenman, Tanzeem Choudhury, Andrew Campbell. IEEE Pervasive Computing, Special Issue on Large-Scale Opportunistic Sensing, Volume 10 Issue 4, October, 2011

“Survey of Mobile Phone Sensing” Nicholas D. Lane, Emiliano Miluzzo, Hong Lu, Daniel Peebles, Tanzeem Choudhury, Andrew T. Campbell. IEEE Communications Magazine, September 2010

“Bubble-Sensing: Binding Sensing Tasks to the Physical World” Hong Lu, Nicholas D. Lane, Shane B. Eisenman, Andrew T. Campbell. Journal of Pervasive and Mobile Computing (PMC), 6 (1), 58-71, 2010

“BikeNet: A Mobile Sensing System for Cyclist Experience Mapping” Shane Eisenman, Emiliano Miluzzo, Nicholas D. Lane, Ronald Peterson, Gahng Seop Ahn, Andrew T. Campbell. ACM Transactions on Sensor Networks (TOSN), 6 (1), 2009.

“The Rise of People-Centric Sensing” Andrew T. Campbell, Shane B. Eisenman, Nicholas D. Lane, Emiliano Miluzzo, Ronald A. Peterson, Hong Lu, Xiao Zheng, Mirco Musolesi, Kristof Fodor, Gahng-Seop Ahn. IEEE Internet Computing, Special Issue on Mesh Networks, IEEE 12 (4), 12-21, 2008

D. Refereed Posters

 

“Codesign-NAS: Automatic FPGA/CNN Codesign Using Neural Architecture Search” Mohamed S Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D Lane. 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, FPGA 2020. February 2020

“Poster: Deterministic Binary Filters for Keyword Spotting Applications” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“Poster: Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices” Milad Alizadeh, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“Poster: Inference of Big-Five Personality Using Large-scale Networked Mobile and Appliance Data Catherine Tong, Gabriella M Harari, Angela Chieh, Otmane Bellahsen, Matthieu Vegreville, Eva Roitmann, Nicholas D. Lane. 16th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2018. June 2018

“BinaryCmd: Keyword Spotting with deterministic binary basis” Javier Fernández-Marqués, Vincent W.-S. Tseng, Sourav Bhattachara, Nicholas D. Lane. 19th International Workshop on Mobile Computing Systems and Applications, HotMobile 2018. Feb. 2018

“Towards Multimodal Deep Learning for Activity Recognition on Mobile Devices” Valentin Radu, Nicholas D Lane, Sourav Bhattacharya, Cecilia Mascolo, Mahesh K Marina, Fahim Kawsar. ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016. Sept. 2016

“Poster: Towards Radio-based Sensing on Wearables” Biyi Fang, Nicholas D Lane, Mi Zhang, Aidan Boran, Fahim Kawsar. 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June. 2016

“Towards Radio-based Activity Sensing on Wearables” Biyi Fang, Nicholas D. Lane, Mi Zhang, Fahim Kawsar. 17th International Workshop on Mobile Computing Systems and Applications, HotMobile 2016. Feb. 2016

“CarSafe: A Driver Safety App that Detects Dangerous Driving Behavior using Dual-Cameras on Smartphones” Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell. 14th International Conference on Ubiquitous Computing, UbiComp 2012. Sept. 2012

“Virtual Sensing Range (poster abstract)” Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell. 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2006. Nov. 2006

 

E. Refereed Videos

 

“CarSafe App: Alerting Drowsy and Distracted Drivers using Dual Cameras on Smartphones” Chuang-Wen You, Nicholas D. Lane, Fanglin Chen, Rui Wang, Zhenyu Chen, Thomas J. Bao, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell. 11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013. June 2013

“MoodScope: Building a Mood Sensor from Smartphone Usage Patterns” Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong. , 11th ACM Conference on Mobile Systems, Applications, and Services, MobiSys 2013, June 2013

 

F. Refereed Demos

 

“Demo: Accelerated Deep Inference on Embedded Devices using DeepX Toolkit” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2016. June. 2016

“Demonstration Abstract: Accelerating Embedded Deep Learning Using DeepX” Nicholas D Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar.  15th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2016, April. 2016

“DeepX: A Software Accelerator for Squeezing Deep Learning onto Wearables, Phones and Things” Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar. 17th International Workshop on Mobile Computing Systems and Applications, HotMobile 2016. Feb. 2016

“CarSafe Demo: Supporting Driver Safety using Dual-cameras on Smartphones” Chuang-Wen You, Martha Montes-de-Oca, Thomas J. Bao, Nicholas D. Lane, Giuseppe Cardone, Lorenzo Torresani, Andrew T. Campbell.  14th International Conference on Ubiquitous Computing, UbiComp 2012, Sept. 2012

“Transforming the Social Networking Experience with Sensing Presence from Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng. 7th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, Nov. 2008

“CenceMe: Injecting Sensing Presence into Social Network Applications using Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristóf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng. , 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2008. May 2008.

“CenceMe: Injecting Sensing Presence into Social Network Applications using Mobile Phones (Demo Abstract)” Andrew T. Campbell, Shane B. Eisenman, Kristof Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng.  9th Workshop on Mobile Computing Systems and Applications, HotMobile 2008. Feb. 2008.

 

G. Refereed Work-in-Progress

“On-device Deep Reinforcement Learning for Embedded and Mobile Devices” Rui Lowe, Sourav Bhattacharya, David Nunes, Akhil Mathur, Nicholas D. Lane.  1st International Workshop on Embedded and Mobile Deep Learning, EMDL ’17. June 2017.

 

H. Theses

“Community-guided Mobile Phone Sensing Systems” Nicholas D. Lane. Ph.D. thesis, Dartmouth College, 2011.