Conference Proceedings
H. Park, Dorrance, R. , Amin, A. , Ren, F. , MarkoviΔ, D. , and Yang, C. K. Ken,
βAnalysis of STT-RAM Cell Design With Multiple MTJs Per Accessβ,
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH). IEEE Computer Society, pp. 53-58, 2011.
(320.88 KB) S. Biookaghazadeh, Zhao, M. , and Ren, F. ,
βAre FPGAs Suitable for Edge Computing?β,
The USENIX Workshop on Hot Topics in Edge Computing (HotEdge '18). BOSTON, MA, 2018.
(363.22 KB) Z. Zhang, Trindade, B. Machado, Green, M. , Yu, Z. , Pawlowicz, C. , and Ren, F. ,
βAutomatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approachβ,
The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'23). Rhodes Island, Greece, 2023.
(501.02 KB) I. Hubara, Courbariaux, M. , Soudry, D. , El-Yaniv, R. , and Bengio, Y. ,
βBinarized neural networksβ,
Advances in neural information processing systems. pp. 4107β4115, 2016.
Z. Liu, Li, Y. , Ren, F. , and Yu, H. ,
βA Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processingβ,
The 1st International Workshop on Efficient Methods for Deep Neural Networks - Conference on Neural Information Processing Systems (NIPS). 2016.
(773.3 KB) M. Courbariaux, Bengio, Y. , and David, J. - P. ,
βBinaryconnect: Training deep neural networks with binary weights during propagationsβ,
Advances in Neural Information Processing Systems. pp. 3123β3131, 2015.
Y. I. Li and Ren, F. ,
βBNN Pruning: Pruning Binary Neural Network Guided by Weight Flipping Frequencyβ,
International Symposium on Quality Electronic Design (ISQED). Santa Clara, CA, 2020.
(186.31 KB) F. Ren, Park, H. , Dorrance, R. , Toriyama, Y. , Yang, C. - K. K. , and MarkoviΔ, D. ,
βA Body-voltage-sensing-based Short Pulse Reading Circuit for Spin-torque Transfer RAMs (STT-RAMs)β,
Proceedings of the 2012 13th International Symposium on Quality Electronic Design (ISQED). IEEE, pp. 275-282, 2012.
(559.47 KB) Y. Shen, Zhu, G. , Li, J. , and Zhu, Z. ,
βCompressed Sensing Image Reconstruction Algorithm by Dictionary Learningβ,
Proceedings of International Conference on Internet Multimedia Computing and Service. ACM, p. 193, 2014.
H. Huang, Yu, H. , Zhuo, C. , and Ren, F. ,
βA Compressive-sensing based Testing Vehicle for 3D TSV Pre-bond and Post-bond Testing Dataβ,
International Symposium on Physical Design (ISPD). pp. 19-25, 2016.
(1.21 MB) F. Ren and MarkoviΔ, D. ,
βA Configurable 12-to-237KS/s 12.8 mW Sparse-approximation Engine for Mobile ExG Data Aggregationβ,
Proceedings of the 2015 IEEE International Solid-State Circuits Conference (ISSCC). IEEE, pp. 68-78, 2015.
(6.94 MB) Z. Zhang, Xu, K. , and Ren, F. ,
βCRA: A Generic Compression Ratio Adaptor for End-to-end Data-driven Image Compressive Sensing Reconstruction Frameworksβ,
International Conference on Acoustics, Speech, and Signal Processing. Barcelona, Spain, pp. 1740-1749, 2020.
(328.74 KB) K. Xu and Ren, F. ,
βCSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensingβ,
IEEE Winter Conference on Applications of Computer Vision (WACV). 2018.
(821.05 KB) Y. Chen, Luo, T. , Liu, S. , Zhang, S. , He, L. , Wang, J. , Li, L. , Chen, T. , Xu, Z. , Sun, N. , and , ,
βDadiannao: A machine-learning supercomputerβ,
Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture. IEEE Computer Society, pp. 609β622, 2014.
Z. Yu, Trindade, B. Machado, Green, M. , Zhang, Z. , Sneha, P. , Bank-Tavakoli, E. , Pawlowicz, C. , and Ren, F. ,
βA Data-Driven Approach for Automated Integrated Circuit Segmentation of Scan Electron Microscopy Imagesβ,
The 29th IEEE International Conference on Image Processing (ICIP). Bordeaux, France, 2022.
(1.03 MB) K. Xu, Li, Y. , and Ren, F. ,
βA Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensingβ,
The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). New Orleans, LA, pp. 861-865, 2017.
(837.1 KB) A. Mousavi, Patel, A. B. , and Baraniuk, R. G. ,
βA deep learning approach to structured signal recoveryβ,
Communication, Control, and Computing (Allerton), 2015 53rd Annual Allerton Conference on. IEEE, pp. 1336β1343, 2015.
S. Gupta, Agrawal, A. , Gopalakrishnan, K. , and Narayanan, P. ,
βDeep learning with limited numerical precisionβ,
Proceedings of the 32nd International Conference on Machine Learning (ICML-15). pp. 1737β1746, 2015.
T. Chen, Du, Z. , Sun, N. , Wang, J. , Wu, C. , Chen, Y. , and Temam, O. ,
βDiannao: A small-footprint high-throughput accelerator for ubiquitous machine-learningβ,
ACM Sigplan Notices, vol. 49. ACM, pp. 269β284, 2014.
S. Biookaghazadeh, Xu, Y. , Zhou, S. , and Zhao, M. ,
βEnabling scientific data storage and processing on big-data systemsβ,
Big Data (Big Data), 2015 IEEE International Conference on. IEEE, pp. 1978β1984, 2015.
(966.13 KB) K. Xu, Li, Y. I. , and Ren, F. ,
βAn Energy-Efficient Compressive Sensing Framework Incorporating Online Dictionary Learning for Long-Term Wireless Health Monitoringβ,
Proceedings of the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, Shanghai, China, pp. 804 - 808, 2016.
(794.86 KB) Z. Zhang, Yu, Z. , You, S. , Rao, R. , Agarwal, S. , and Ren, F. ,
βEnhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learningβ,
The 48th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'23). Rhodes Island, Greece, 2023.
(2.95 MB) Z. Zhang, Zhao, J. , and Ren, F. ,
βAn Experimental Study on Transferring Data-Driven Image Compressive Sensing to Bioelectric Signalsβ,
The 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Singapore, pp. 1191-1195, 2022.
(1.29 MB) T. S. Czajkowski, Aydonat, U. , Denisenko, D. , Freeman, J. , Kinsner, M. , Neto, D. , Wong, J. , Yiannacouras, P. , and Singh, D. P. ,
βFrom OpenCL to high-performance hardware on FPGAsβ,
Field Programmable Logic and Applications (FPL), 2012 22nd International Conference on. IEEE, pp. 531β534, 2012.
E. Bank-Tavakoli, Riera, M. , Quraishi, M. Hassan, and Ren, F. ,
βFSCHOL: An OpenCL-based HPC Framework for Accelerating Sparse Cholesky Factorization on FPGAsβ,
The 33rd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). Virtual Event, pp. 209-220, 2021.
(380.33 KB) C. Szegedy, Liu, W. , Jia, Y. , Sermanet, P. , Reed, S. , Anguelov, D. , Erhan, D. , Vanhoucke, V. , and Rabinovich, A. ,
βGoing deeper with convolutionsβ,
Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 1β9, 2015.
A. Krizhevsky, Sutskever, I. , and Hinton, G. E. ,
βImagenet classification with deep convolutional neural networksβ,
Advances in neural information processing systems. pp. 1097β1105, 2012.
S. Biookaghazadeh,
βKaleido: Enabling Efficient Scientific Data Processing on Big-Data Systemsβ,
Networking, Architecture, and Storage (NAS), 2017 International Conference on. IEEE, pp. 1β10, 2017.
K. Xu, Zhang, Z. , and Ren, F. ,
βLAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstructionβ,
The 15th European Conference on Computer Vision (ECCV'18). Munich, Germany, pp. 491-507, 2018.
(1.41 MB) K. Xu, Qin, M. , Sun, F. , Wang, Y. , Chen, Y. - K. , and Ren, F. ,
βLearning in the Frequency Domainβ,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, WA, pp. 1740-1749, 2020.
(4.98 MB) Y. I. Li, Dua, A. , and Ren, F. ,
βLight-Weight RetinaNet for Object Detection on Edge Devicesβ,
The 2020 IEEE World Forum on Internet of Things (WF-IoT'20). New Orleans, Louisiana, 2020.
(2.43 MB) W. Xu, Huang, M. - C. , Liu, J. J. , Ren, F. , Shen, X. , Liu, X. , and Sarrafzadeh, M. ,
βmCOPD: Mobile Phone Based Lung Function Diagnosis and Exercise System for COPDβ,
Proceedings of the 6th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA). ACM, 2013.
(646.4 KB) X. Zhou, Peng, Y. , Long, C. , Ren, F. , and Shi, C. ,
βMoNet3D: Towards Accurate Monocular 3D Object Localization in Real Timeβ,
The Thirty-seventh International Conference on Machine Learning. Virtual Event, 2020.
(9.74 MB) Y. Wang, Li, X. , Yu, H. , Ni, L. , Yang, W. , Weng, C. , and Zhao, J. ,
βOptimizing boolean embedding matrix for compressive sensing in rram crossbarβ,
Low Power Electronics and Design (ISLPED), 2015 IEEE/ACM International Symposium on. IEEE, pp. 13β18, 2015.
C. Zhang, Li, P. , Sun, G. , Guan, Y. , Xiao, B. , and Cong, J. ,
βOptimizing fpga-based accelerator design for deep convolutional neural networksβ,
Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays. ACM, pp. 161β170, 2015.
M. Zinkevich, Weimer, M. , Li, L. , and Smola, A. J. ,
βParallelized stochastic gradient descentβ,
Advances in neural information processing systems. pp. 2595β2603, 2010.
X. Zhang, Huang, M. - C. , Ren, F. , Xu, W. , Guan, N. , and Yi, W. ,
βProper Running Posture Guide: A Wearable Biomechanics Capture Systemβ,
Proceedings of the 8th International Conference on Body Area Networks (BodyNets). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2013.
(1.54 MB) W. Li, Zhou, B. , Hsu, C. - Y. , Li, Y. I. , and Ren, F. ,
βRecognizing terrain features on terrestrial surface using a deep learning model - An example with crater detectionβ,
1st ACM SIGSPATIAL Workshop on Articial Intelligence and Deep Learning for Geographic Knowledge Discovery. ACM, Los Angeles, CA, pp. 33-36, 2017.
(4.93 MB) K. Kulkarni, Lohit, S. , Turaga, P. , Kerviche, R. , and Ashok, A. ,
βReconnet: Non-iterative reconstruction of images from compressively sensed measurementsβ,
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 449β458, 2016.
R. Dorrance, Ren, F. , Toriyama, Y. , Amin, A. , Yang, C. - K. K. , and MarkoviΔ, D. ,
βScalability And Design-space Analysis of A 1T-1MTJ Memory Cellβ,
Proceedings of the 2011 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH). IEEE, pp. 32-36, 2011.
(1.1 MB) R. Dorrance, Ren, F. , and MarkoviΔ, D. ,
βA Scalable Sparse Matrix-vector Multiplication Kernel for Energy-efficient Sparse-BLAS on FPGAsβ,
Proceedings of the 2014 ACM/SIGDA International Symposium on Field-programmable Gate Arrays (FPGA). ACM, pp. 161-170, 2014.
(558.35 KB) J. Ouyang, Lin, S. , Qi, W. , Wang, Y. , Yu, B. , and Jiang, S. ,
βSDA: Software-defined accelerator for large-scale DNN systemsβ,
Hot Chips 26 Symposium (HCS), 2014 IEEE. IEEE, pp. 1β23, 2014.
X. Zhang, Xu, W. , Huang, M. - C. , Amini, N. , and Ren, F. ,
βSee UV on Your Skin: An Ultraviolet Sensing and Visualization Systemβ,
Proceedings of the 8th International Conference on Body Area Networks (BodyNets). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), pp. 22-28, 2013.
(1.82 MB) F. Ren, Dorrace, R. , Xu, W. , and MarkoviΔ, D. ,
βA Single-precision Compressive Sensing Signal Reconstruction Engine on FPGAsβ,
Proceedings of the 23rd International Conference on Field Programmable Logic and Applications (FPL). IEEE, pp. 1-4, 2013.
(358.12 KB) Z. Liu, Li, Y. I. , Ren, F. , Yu, H. , and Goh, W. ,
βSqueezedText: A Real-time Scene Text Recognition by Binary Convolutional Encoder-decoder Networkβ,
The AAAI Conference on Artificial Intelligence (AAAI). New Orleans, Louisana, pp. 7194-7201, 2018.
(1.49 MB) M. Chen, Hu, Q. , Yu, Z. , Thomas, H. , Feng, A. , Hou, Y. , McCullough, K. , Ren, F. , and Soibelman, L. ,
βSTPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Datasetβ,
The British Machine Vision Conference (BMVC). London, UK, 2022.
(11.33 MB)