Nicholas D. Lane
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
86
Venues
36
Active years
2006–2026
Best venue rank
A*
Where they publish
- AMobisys18 papers
- UnrankedSENSYS11 papers
- AInterspeech7 papers
- A*MOBICOM5 papers
- A*AAAI4 papers
- AEuroSys4 papers
- A*ECCV3 papers
- A*PERCOM2 papers
- A*MICRO2 papers
- MulticonferenceICASSP2 papers
- ACoNEXT2 papers
- BDCOSS2 papers
- A*ISCA1 paper
- BISIT1 paper
- A*ACL1 paper
- BASPDAC1 paper
- A*KDD1 paper
- AWACV1 paper
- A*ICCV1 paper
- BVTC1 paper
- A*WWW1 paper
- CASRU1 paper
- ABMVC1 paper
- NationalFCCM1 paper
- AIMC1 paper
- A*DAC1 paper
- AFPGA1 paper
- AICCAD1 paper
- BACII1 paper
- A*ICLR1 paper
- CICMLA1 paper
- A*IJCAI1 paper
- BMASS1 paper
- BICPADS1 paper
- A*ICDM1 paper
- Journal PublishedISWC1 paper
Papers
86 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? | Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane |
| 2026 | ISCA | Efficient 3D Gaussian Splatting with Axis-Shared Rasterization and Order-independent Transmittance. | Zhican Wang, Guanghui He, Lingjun Gao, Dantong Liu, Shell Xu Hu, Chen Zhang, Zhuoran Song, Nicholas D. Lane, Hongxiang Fan |
| 2026 | ISIT | The Triple Lock: Geometric Obstructions to Partial Information Decomposition. | Vivek Kothari, Nicholas D. Lane |
| 2026 | PERCOM | Keynote - Federated AGI: A Generational Opportunity for Pervasive Computing. | Nicholas D. Lane |
| 2025 | ACL | Demystifying Small Language Models for Edge Deployment. | Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu, Jian Luan, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu |
| 2025 | ASPDAC | Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis. | Jiahao Gai, Hao Chen, Zhican Wang, Hongyu Zhou, Wanru Zhao, Nicholas D. Lane, Hongxiang Fan |
| 2025 | KDD | FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. | Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane |
| 2024 | WACV | Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation. | Royson Lee, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales, Ferenc Huszr, Nicholas D. Lane |
| 2023 | AAAI | Zero-Cost Operation Scoring in Differentiable Architecture Search. | Lichuan Xiang, Lukasz Dudziak, Mohamed S. Abdelfattah, Thomas C. P. Chau, Nicholas D. Lane, Hongkai Wen |
| 2023 | EuroSys | Can Fair Federated Learning Reduce the need for Personalisation? | Alex Iacob, Pedro Porto Buarque de Gusmo, Nicholas D. Lane |
| 2023 | EuroSys | Gradient-less Federated Gradient Boosting Tree with Learnable Learning Rates. | Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane |
| 2023 | ICCV | L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. | Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmo, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane |
| 2023 | MICRO | Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads. | Hongxiang Fan, Stylianos I. Venieris, Alexandros Kouris, Nicholas D. Lane |
| 2023 | VTC | Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. | Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmo, Nicholas D. Lane, Christopher Zach, Mina Alibeigi |
| 2023 | WWW | A Federated Learning Benchmark for Drug-Target Interaction. | Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Li |
| 2022 | ECCV | Multi-Exit Semantic Segmentation Networks. | Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane |
| 2022 | ECCV | Federated Self-supervised Learning for Video Understanding. | Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmo, Nicholas D. Lane |
| 2022 | EuroSys | Deep learning on microcontrollers: a study on deployment costs and challenges. | Filip Svoboda, Javier Fernndez-Marqus, Edgar Liberis, Nicholas D. Lane |
| 2022 | ICASSP | End-to-End Speech Recognition from Federated Acoustic Models. | Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernndez-Marqus, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane |
| 2022 | Interspeech | Federated Self-supervised Speech Representations: Are We There Yet? | Yan Gao, Javier Fernndez-Marqus, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane |
| 2022 | MICRO | Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design. | Hongxiang Fan, Thomas Chau, Stylianos I. Venieris, Royson Lee, Alexandros Kouris, Wayne Luk, Nicholas D. Lane, Mohamed S. Abdelfattah |
| 2022 | Mobisys | Adaptable mobile vision systems through multi-exit neural networks. | Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane |
| 2021 | ASRU | Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech Recognition. | Yan Gao, Titouan Parcollet, Nicholas D. Lane |
| 2021 | BMVC | Defensive Tensorization. | Adrian Bulat, Jean Kossaifi, Sourav Bhattacharya, Yannis Panagakis, Timothy M. Hospedales, Georgios Tzimiropoulos, Nicholas D. Lane, Maja Pantic |
| 2021 | CoNEXT | Secure aggregation for federated learning in flower. | Kwing Hei Li, Pedro Porto Buarque de Gusmo, Daniel J. Beutel, Nicholas D. Lane |
| 2021 | EuroSys | μNAS: Constrained Neural Architecture Search for Microcontrollers. | Edgar Liberis, Lukasz Dudziak, Nicholas D. Lane |
| 2021 | FCCM | unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. | Stylianos I. Venieris, Javier Fernndez-Marqus, Nicholas D. Lane |
| 2021 | IMC | Smart at what cost?: characterising mobile deep neural networks in the wild. | Mrio Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane |
| 2021 | Mobisys | Are Mobile DNN Accelerators Accelerating DNNs? | Qingqing Cao, Alexandru Eugen Irimiea, Mohamed S. Abdelfattah, Aruna Balasubramanian, Nicholas D. Lane |
| 2021 | Mobisys | Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions. | Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane |
| 2020 | CoNEXT | Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions. | Royson Lee, Stylianos I. Venieris, Nicholas D. Lane |
| 2020 | DAC | Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. | Mohamed S. Abdelfattah, Lukasz Dudziak, Thomas Chau, Royson Lee, Hyeji Kim, Nicholas D. Lane |
| 2020 | ECCV | Journey Towards Tiny Perceptual Super-Resolution. | Royson Lee, Lukasz Dudziak, Mohamed S. Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane |
| 2020 | FPGA | 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 | ICASSP | Libri-Adapt: a New Speech Dataset for Unsupervised Domain Adaptation. | Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane |
| 2020 | ICCAD | HAPI: Hardware-Aware Progressive Inference. | Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim, Nicholas D. Lane |
| 2020 | Interspeech | Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification. | Akhil Mathur, Nadia Berthouze, Nicholas D. Lane |
| 2020 | Interspeech | Iterative Compression of End-to-End ASR Model Using AutoML. | Abhinav Mehrotra, Lukasz 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 |
| 2020 | Interspeech | FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition. | Titouan Parcollet, Xinchi Qiu, Nicholas D. Lane |
| 2020 | Interspeech | Quaternion Neural Networks for Multi-Channel Distant Speech Recognition. | Xinchi Qiu, Titouan Parcollet, Mirco Ravanelli, Nicholas D. Lane, Mohamed Morchid |
| 2020 | Interspeech | 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 |
| 2020 | MOBICOM | SPINN: synergistic progressive inference of neural networks over device and cloud. | Stefanos Laskaridis, Stylianos I. Venieris, Mrio Almeida, Ilias Leontiadis, Nicholas D. Lane |
| 2019 | ACII | Learning Temporal and Bodily Attention in Protective Movement Behavior Detection. | Chongyang Wang, Min Peng, Temitayo A. Olugbade, Nicholas D. Lane, Amanda C. de C. Williams, Nadia Bianchi-Berthouze |
| 2019 | ICLR | An Empirical study of Binary Neural Networks' Optimisation. | Milad Alizadeh, Javier Fernndez-Marqus, Nicholas D. Lane, Yarin Gal |
| 2019 | ICMLA | FlexAdapt: Flexible Cycle-Consistent Adversarial Domain Adaptation. | Akhil Mathur, Anton Isopoussu, Fahim Kawsar, Nadia Bianchi-Berthouze, Nicholas D. Lane |
| 2019 | Interspeech | ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning. | Lukasz Dudziak, Mohamed S. Abdelfattah, Ravichander Vipperla, Stefanos Laskaridis, Nicholas D. Lane |
| 2019 | MOBICOM | MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. | Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane |
| 2019 | MOBICOM | Poster: MobiSR - Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors. | Royson Lee, Stylianos I. Venieris, Lukasz Dudziak, Sourav Bhattacharya, Nicholas D. Lane |
| 2018 | IJCAI | Deterministic Binary Filters for Convolutional Neural Networks. | Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernndez-Marqus, Milad Alizadeh, Catherine Tong, Nicholas D. Lane |
| 2018 | MASS | Embracing Spatial Awareness for Reliable WiFi-Based Indoor Location Systems. | Jingao Xu, Zheng Yang, Hengjie Chen, Yunhao Liu, Xiancun Zhou, Jianbo Li, Nicholas D. Lane |
| 2018 | Mobisys | Using Pre-trained Full-Precision Models to Speed Up Training Binary Networks For Mobile Devices. | Milad Alizadeh, Nicholas D. Lane |
| 2018 | Mobisys | Deterministic binary filters for keyword spotting applications. | Javier Fernndez-Marqus, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane |
| 2018 | Mobisys | On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. | Javier Fernndez-Marqus, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane |
| 2018 | Mobisys | 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 |
| 2017 | Mobisys | Accelerating Mobile Audio Sensing Algorithms through On-Chip GPU Offloading. | Petko Georgiev, Nicholas D. Lane, Cecilia Mascolo, David Chu |
| 2017 | Mobisys | 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 |
| 2016 | ICPADS | ppNav: Peer-to-Peer Indoor Navigation for Smartphones. | Zuwei Yin, Chenshu Wu, Zheng Yang, Nicholas D. Lane, Yunhao Liu |
| 2016 | MOBICOM | LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources. | Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo |
| 2016 | Mobisys | Untitled record | Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar |
| 2016 | Mobisys | Poster: Towards Radio-based Sensing on Wearables. | Biyi Fang, Nicholas D. Lane, Mi Zhang, Aidan Boran, Fahim Kawsar |
| 2016 | Mobisys | Demo: Accelerated Deep Learning Inference for Embedded and Wearable Devices using DeepX. | Nicholas D. Lane, Sourav Bhattacharya, Petko Georgiev, Claudio Forlivesi, Fahim Kawsar |
| 2016 | PERCOM | From smart to deep: Robust activity recognition on smartwatches using deep learning. | Sourav Bhattacharya, Nicholas D. Lane |
| 2016 | SENSYS | Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables. | Sourav Bhattacharya, Nicholas D. Lane |
| 2015 | ICDM | 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 |
| 2015 | Mobisys | ZOE: A Cloud-less Dialog-enabled Continuous Sensing Wearable Exploiting Heterogeneous Computation. | Nicholas D. Lane, Petko Georgiev, Cecilia Mascolo, Ying Gao |
| 2015 | SENSYS | 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 |
| 2014 | MOBICOM | Caiipa: automated large-scale mobile app testing through contextual fuzzing. | Chieh-Jan Mike Liang, Nicholas D. Lane, Niels Brouwers, Li Zhang, Brje F. Karlsson, Hao Liu, Yan Liu, Jun Tang, Xiang Shan, Ranveer Chandra, Feng Zhao |
| 2014 | SENSYS | DSP.Ear: leveraging co-processor support for continuous audio sensing on smartphones. | Petko Georgiev, Nicholas D. Lane, Kiran K. Rachuri, Cecilia Mascolo |
| 2013 | ISWC | 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 T. Campbell, Tanzeem Choudhury |
| 2013 | Mobisys | MoodScope: building a mood sensor from smartphone usage patterns. | Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong |
| 2013 | Mobisys | MoodScope: building a mood sensor from smartphone usage patterns. | Robert LiKamWa, Yunxin Liu, Nicholas D. Lane, Lin Zhong |
| 2013 | Mobisys | 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, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell |
| 2013 | Mobisys | 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, Martha Montes-de-Oca, Yuting Cheng, Mu Lin, Lorenzo Torresani, Andrew T. Campbell |
| 2013 | SENSYS | 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 |
| 2012 | AAAI | Towards Population Scale Activity Recognition: A Framework for Handling Data Diversity. | Saeed Abdullah, Nicholas D. Lane, Tanzeem Choudhury |
| 2011 | SENSYS | 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 |
| 2010 | AAAI | Community-Guided Learning: Exploiting Mobile Sensor Users to Model Human Behavior. | Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell |
| 2010 | SENSYS | The Jigsaw continuous sensing engine for mobile phone applications. | Hong Lu, Jun Yang, Zhigang Liu, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell |
| 2009 | Mobisys | SoundSense: scalable sound sensing for people-centric applications on mobile phones. | Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudhury, Andrew T. Campbell |
| 2008 | DCOSS | Techniques for Improving Opportunistic Sensor Networking Performance. | Shane B. Eisenman, Nicholas D. Lane, Andrew T. Campbell |
| 2008 | DCOSS | CaliBree: A Self-calibration System for Mobile Sensor Networks. | Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber |
| 2008 | SENSYS | Transforming the social networking experience with sensing presence from mobile phones. | Andrew T. Campbell, Shane B. Eisenman, Kristf Fodor, Nicholas D. Lane, Hong Lu, Emiliano Miluzzo, Mirco Musolesi, Ronald A. Peterson, Xiao Zheng |
| 2008 | SENSYS | Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. | Emiliano Miluzzo, Nicholas D. Lane, Kristf Fodor, Ronald A. Peterson, Hong Lu, Mirco Musolesi, Shane B. Eisenman, Xiao Zheng, Andrew T. Campbell |
| 2008 | SENSYS | Integrating sensor presence into virtual worlds using mobile phones. | Mirco Musolesi, Emiliano Miluzzo, Nicholas D. Lane, Shane B. Eisenman, Tanzeem Choudhury, Andrew T. Campbell |
| 2007 | SENSYS | 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 |
| 2006 | SENSYS | Virtual sensing range. | Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell |