Gofman, M., S. Mitra, Y. Bai, and Y. Choi. “Security, Privacy, and Usability Challenges in Selfie Biometrics.” In Selfie Biometrics, pp. 313-353. Springer, Cham, 2019. doi: 10.1007/978-3-030-26972-2_16.
Tang, X., X. Xu, and Y. Bai. “Computer Essential.” Tsinghua University Press. ISBN 978730243418.
[IEEE JSTARS’26] Tang, J., Y. Lou, Y. Guo, and Y. Bai. “HyperMODE: A Continuous-Depth Spectral-Spatial Modeling Framework with Mamba and Neural Ordinary Differential Equations for Hyperspectral Image Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 19 (2026): 21474-21491. doi: 10.1109/JSTARS.2026.3705708.
[Int. J. Mach. Learn. & Cyber.’26] Luo, S., M. Liu, Y. Lou, P. Sun, Y. Yu, S. Ren, and Y. Bai. “TensorTrim: Dynamic Tensor-Train Decomposition for Efficient Neural Network Compression.” International Journal of Machine Learning and Cybernetics 17, no. 5 (2026): 222. doi: 10.1007/s13042-025-02819-2.
[Science China Life Sciences’26] Cao, S. X., X. Luo, Y. Bai, H. L. Tan, and R. R. He. “AI-decoded enzymatic blueprints navigate the unknown metabolome.” Science China Life Sciences (2026).
[npj Digital Medicine’25] Yang, Y., C. Xiao, D. Zou, L. Wang, R. Yang, Y. Zhang, and Y. Bai. “Deep learning-enabled multiphoton microscopy predicts colorectal cancer recurrence from routine FFPE specimens.” npj Digital Medicine 8, no. 1 (2025): 689. doi: 10.1038/s41746-025-02058-3.
[ACM TAAS’25] Lou, Y., P. Sun, Y. Yu, S. Ren, and Y. Bai. “TT-DSC: Enhancing YOLO for Marine Ecosystem through Efficient Tensor Train-Based Depthwise Separable Deep Neural Network.” ACM Transactions on Autonomous and Adaptive Systems (2025). doi: 10.1145/3735138.
[Quantitative Imaging in Medicine and Surgery’25] Jin, Y., R. Tian, Q. Yu, Y. Bai, G. Chao, D. Liu, and Y. Guo. “EMCAH-Net: an effective multi-scale context aggregation hybrid network for medical image segmentation.” Quantitative Imaging in Medicine and Surgery 15, no. 4 (2025): 3064.
[IEEE TGRS’24] Tian, R., D. Liu, Y. Bai, Y. Jin, G. Wan, and Y. Guo. “Swin-MSP: A Shifted Windows Masked Spectral Pretraining Model for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 62 (2024): 1-14. doi: 10.1109/TGRS.2024.3431517.
[Internet of Things’24] Sun, Y., Y. Bai, and Z. Zhou. “Collaboration of AI, Big Data, and Blockchain in Internet of Things (IoT): Emerging Trends and Perspectives.” Internet of Things 26 (2024): 101234.
[IEEE JESTIE’24] Ma, X., P. Sun, S. Luo, Q. Peng, R. F. DeMara, and Y. Bai. “Binarized L1-Regularization Parameters Enhanced Stripe-Wise Optimization Algorithm for Efficient Neural Network Optimization.” IEEE Journal of Emerging and Selected Topics in Industrial Electronics 5, no. 2 (2024): 790-799. doi: 10.1109/JESTIE.2023.3313050.
[Environmental Modelling & Software’23] An, L., V. Grimm, Y. Bai, A. Sullivan, B. L. Turner II, N. Malleson, A. Heppenstall, et al.. “Modeling Agent Decision and Behavior in the Light of Data Science and Artificial Intelligence.” Environmental Modelling & Software 166 (2023): 105713. doi: 10.1016/j.envsoft.2023.105713.
[Internet of Things’23] Liu, M., M. Yin, K. Han, R. F. DeMara, B. Yuan, and Y. Bai. “Algorithm and Hardware Co-Design Co-Optimization Framework for LSTM Accelerator Using Quantized Fully Decomposed Tensor Train.” Internet of Things 22 (2023): 100680. doi: 10.1016/j.iot.2023.100680.
[Micromachines’22] Liu, M., S. Luo, K. Han, R. F. DeMara, and Y. Bai. “Autonomous Binarized Focal Loss Enhanced Model Compression Design Using Tensor Train Decomposition.” Micromachines 13, no. 10 (2022): 1738. doi: 10.3390/mi13101738.
[IEEE TED’22] Liu, M., P. Borulkar, M. Hossain, R. F. DeMara, and Y. Bai. “Spin-Orbit Torque Neuromorphic Fabrics for Low-Leakage Reconfigurable In-Memory Computation.” IEEE Transactions on Electron Devices 69, no. 4 (2022): 1727-1735. doi: 10.1109/TED.2021.3140040.
[Springer JPUC’21] Xia, Y., S. Qu, S. Goudos, Y. Bai, and S. Wan. “Multi-object tracking by mutual supervision of CNN and particle filter.” Personal and Ubiquitous Computing 25, no. 6 (2021): 979-988. doi: 10.1007/s00779-019-01278-1.
[IEEE TETC’21] Samiee, A., P. Borulkar, R. F. DeMara, P. Zhao, and Y. Bai. “Low-Energy Acceleration of Binarized Convolutional Neural Networks Using a Spin Hall Effect-Based Logic-in-Memory Architecture.” IEEE Transactions on Emerging Topics in Computing 9, no. 2 (2021): 928-940. doi: 10.1109/TETC.2019.2915589.
[IEEE Access’19] Samiee, A., Y. Sun, R. F. DeMara, Y. Choi, and Y. Bai. “Energy Efficient Mobile Service Computing with Differential Spintronic C-Elements: A Logic-in-Memory Asynchronous Computing Paradigm.” IEEE Access 7 (2019): 55851-55860. doi: 10.1109/ACCESS.2019.2911098.
[Springer JWCN’19] Guo, Y., X. Yin, X. Zhao, D. Yang, and Y. Bai. “Hyperspectral Image Classification with SVM and Guided Filter.” EURASIP Journal on Wireless Communications and Networking 2019, article 56. doi: 10.1186/s13638-019-1346-z.
[IEEE JSTARS’19] Guo, Y., H. Cao, J. Bai, and Y. Bai. “High Efficient Deep Feature Extraction and Classification of Spectral-Spatial Hyperspectral Image Using Cross Domain Convolutional Neural Networks.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12, no. 1 (2019): 345-356. doi: 10.1109/JSTARS.2018.2888808.
[IEEE Access’18] Guo, Y., H. Cao, Y. Sun, and Y. Bai. “Spectral-Spatial Hyperspectral Image Classification with K-Nearest Neighbor and Guided Filter.” IEEE Access 6 (2018): 18582-18591. doi: 10.1109/ACCESS.2018.2820043.
[IEEE Access’18] Guo, Y., S. Han, C. Shen, Y. Li, X. Yin, and Y. Bai. “An Adaptive SVR for High-Frequency Stock Price Forecasting.” IEEE Access 6 (2018): 11397-11404. doi: 10.1109/ACCESS.2018.2806180.
[IEEE TMSCS’18] Bai, Y., D. Fan, and M. Lin. “Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks.” IEEE Transactions on Multi-Scale Computing Systems 4, no. 3 (2018): 463-476. doi: 10.1109/TMSCS.2017.2787109.
[IEEE TC’18] Bai, Y., R. F. DeMara, J. Di, and M. Lin. “Clockless Spintronic Logic: A Robust and Ultra-Low Power Computing Paradigm.” IEEE Transactions on Computers 67, no. 5 (2018): 631-645. doi: 10.1109/TC.2017.2776139.
[IEEE TETC’19] Alawad, M., Y. Bai, R. F. DeMara, and M. Lin. “Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers.” IEEE Transactions on Emerging Topics in Computing 7, no. 1 (2019): 80-97. doi: 10.1109/TETC.2016.2601220.
[JPLEA’16] Bai, Y., and M. Lin. “Stochastic-Based Spin-Programmable Gate Array with Emerging MTJ Device Technology.” Journal of Low Power Electronics and Applications 6, no. 3 (2016): 15. doi: 10.3390/jlpea6030015.
[Electronics’15] Bai, Y., M. Alawad, R. F. DeMara, and M. Lin. “Optimally Fortifying Logic Reliability through Criticality Ranking.” Electronics 4, no. 1 (2015): 150-172. doi: 10.3390/electronics4010150.
[JECE’12] Lin, M., Y. Bai, and R. F. DeMara. “Selectively Fortifying Reconfigurable Computing Device to Achieve Higher Error Resilience.” Journal of Electrical and Computer Engineering 2012, article 593532. doi: 10.1155/2012/593532.
[IEEE ACDSA’26] Tang, J., and Y. Bai. “MAS-LLaVA: Motion-Aware Adaptive Sampling for Training-Free Video Large Language Models.” In 2026 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), pp. 1-6, 2026. doi: 10.1109/ACDSA67686.2026.11468028.
[IEEE CCWC’26] George, A., Y. Bai, and J. Tang. “Regression-Based Modeling of Antisense Oligonucleotide Efficacy Using Sequence, Structural, and Off-Target Features.” In 2026 IEEE 16th Annual Computing and Communication Workshop and Conference (CCWC), 2026.
[PRICAI’25] Liu, M., Y. Lou, S. Luo, Y. Yu, S. Ren, and Y. Bai. “LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing.” In PRICAI 2025: Trends in Artificial Intelligence, pp. 173-188. Springer, 2025. doi: 10.1007/978-981-95-7078-2_12.
[CVPR’25] Yang, C., Y. Sui, J. Xiao, L. Huang, Y. Gong, C. Li, J. Yan, Y. Bai, et al.. “TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19803-19813, 2025.
[IEEE ICCAR’25] Mhaske, H., A. Mandhare, J. Huang, and Y. Bai. “Ground Contact and Reaction Force Sensing for Linear Policy Control of Quadruped Robot.” In 2025 11th International Conference on Control, Automation and Robotics (ICCAR), 2025.
[IEEE IIKI’24] Martinez, G., K. Huang, Y. Lou, and Y. Bai. “Innovative Applications of AI and 3D Printing in Digital Dentistry: Enhancing Accuracy and Efficiency in Dental Care.” In 2024 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), pp. 237-242, 2024. doi: 10.1109/IIKI65561.2024.00048.
[IEEE CoDIT’24] Mohajeran, S., H. Ke, J. Ke, M. Li, Y. Bai, and M. Li. “Streamlined Video Object Detection with YOLOX YOLOV5 YOLOV7 and YOLOV8.” In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), pp. 664-669, 2024. doi: 10.1109/CODIT62066.2024.10708395.
[ACM GLSVLSI’24] Yarnell, R. C., M. Hossain, R. Graterol, A. Pindoria, S. Ghimire, M. A. Chowdhury, S. Salehi, Y. Bai, and R. F. DeMara. “Educational Tool-spaces for Convolutional Neural Network FPGA Design Space Exploration Using High-Level Synthesis.” In Proceedings of the Great Lakes Symposium on VLSI 2024, pp. 343-346, 2024.
[IEEE CSCE’23] Britten, E., M. Gofman, and Y. Bai. “FPGA-Accelerated Password Cracking.” In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pp. 2541-2547, 2023. doi: 10.1109/CSCE60160.2023.00408.
[IEEE ISQED’23] Ma, X., J. Tang, and Y. Bai. “Locality-sensing Fast Neural Network (LFNN): An Efficient Neural Network Acceleration Framework via Locality Sensing for Real-time Videos Queries.” In 2023 24th International Symposium on Quality Electronic Design (ISQED), pp. 1-8, 2023. doi: 10.1109/ISQED57927.2023.10129395.
[IEEE SOCC’22] Ma, X., K. Han, Y. Yang, R. F. DeMara, and Y. Bai. “Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network.” In 2022 IEEE 35th International System-on-Chip Conference (SOCC), pp. 1-6, 2022. doi: 10.1109/SOCC56010.2022.9908125.
[IEEE SoutheastCon’22] Crumley, D., M. Hossain, K. Martin, F. Ivey, R. Yarnell, R. F. DeMara, and Y. Bai. “Rehosting YOLOv2 Framework for Reconfigurable Fabric-based Acceleration.” In SoutheastCon 2022, pp. 445-446, 2022. doi: 10.1109/SoutheastCon48659.2022.9763979.
[ASEE’22] Kurwadkar, S., S. Mayoral, A. Linton, D. Bein, P. Reina, J. Huang, Y. Bai, A. Vasquez, and K. Vandersall. “Advancing Student Success Through Integrated Sociocultural and Academic Intervention Strategies.” In 2022 ASEE Annual Conference & Exposition, 2022. doi: 10.18260/1-2–41976.
[DAC’21] Liu, M., M. Yin, K. Han, S. Luo, M. Liu, R. F. DeMara, B. Yuan, and Y. Bai. “Algorithm and Hardware Co-Design Co-Optimization Framework for LSTM Accelerator Using Fully Decomposed Tensor Train.” Work-in-Progress paper at the 58th ACM/IEEE Design Automation Conference (DAC), 2021.
[ASEE’21] Bein, D., J. Huang, Y. Bai, S. T. Kurwadkar, and P. Reina. “Lessons Learned From the First-Year Enrichment Program for Engineering and Computer Science Students in the ASSURE-US Program.” In 2021 ASEE Virtual Annual Conference Content Access, 2021. doi: 10.18260/1-2–37442.
[IEEE ASAP’21] Liu, M., S. Luo, K. Han, B. Yuan, R. F. DeMara, and Y. Bai. “An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-Design.” In 2021 IEEE 32nd International Conference on Application-Specific Systems, Architectures and Processors (ASAP), pp. 77-84, 2021. doi: 10.1109/ASAP52443.2021.00020.
[ACM GLSVLSI’21] Liu, M., K. Han, S. Luo, M. Pan, M. Hossain, B. Yuan, R. F. DeMara, and Y. Bai. “An Efficient Video Prediction Recurrent Network Using Focal Loss and Decomposed Tensor Train for Imbalance Dataset.” In Proceedings of the 2021 Great Lakes Symposium on VLSI, pp. 391-396, 2021. doi: 10.1145/3453688.3461748.
[ASEE’20] Huang, J., S. Kurwadkar, D. Bein, Y. Bai, and S. Mayoral. “Improving STEM Education for Lower-Division College Students at HSI by Utilizing Relevant Sociocultural and Academic Experiences: First-Year Results from ASSURE-US Project.” In 2020 ASEE Virtual Annual Conference Content Access, 2020. doi: 10.18260/1-2–34795.
[ITNG’20] Estabillo, J., D. Lee, C. Ly, G. Orozco, D. Bein, S. Kurwadkar, J. Huang, and Y. Bai. “Using Projects on Clustering and Linear Regression to Develop Basic Research Skills in Freshmen and Sophomore Undergraduate Students.” In 17th International Conference on Information Technology-New Generations (ITNG 2020), pp. 379-384. Springer, 2020. doi: 10.1007/978-3-030-43020-7_50.
[ITNG’20] Ahmed, A., L. Macias, M. McCune, M. Medina, M. Orozco, D. Bein, S. Kurwadkar, J. Huang, O. Daescu, D. Xu, and Y. Bai. “Initiating Research Skills in Undergraduate Students Through Data Science Projects.” In 17th International Conference on Information Technology-New Generations (ITNG 2020), pp. 385-391. Springer, 2020. doi: 10.1007/978-3-030-43020-7_51.
[FICC’19] Rangaswamaiah, C., Y. Bai, and Y. Choi. “Multilevel Data Concealing Technique Using Steganography and Visual Cryptography.” In Future of Information and Communication Conference, pp. 739-758. Springer, 2019. doi: 10.1007/978-3-030-12385-7_53.
[IEEE ICASSP’19] Liao, S., A. Samiee, C. Deng, Y. Bai, and B. Yuan. “Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and FPGA Implementation.” In 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1443-1447, 2019. doi: 10.1109/ICASSP.2019.8683556.
[IEEE CCWC’19] Olazabal, O., M. Gofman, Y. Bai, Y. Choi, N. Sandico, S. Mitra, and K. Pham. “Multimodal Biometrics for Enhanced IoT Security.” In 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), pp. 886-893, 2019. doi: 10.1109/CCWC.2019.8666599.
[ACM GLSVLSI’18] Angizi, S., Z. He, Y. Bai, J. Han, M. Lin, and D. Fan. “Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks.” In Proceedings of the 2018 Great Lakes Symposium on VLSI, pp. 397-402, 2018. (Invited) doi: 10.1145/3194554.3194618.
[IEEE CCWC’18] Anil, D. G., Y. Bai, and Y. Choi. “Performance Evaluation of Ternary Computation in SRAM Design Using Graphene Nanoribbon Field Effect Transistors.” In 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC), pp. 382-388, 2018. doi: 10.1109/CCWC.2018.8301723.
[IEEE/ACM MICRO’17] Ding, C., S. Liao, Y. Wang, Z. Li, N. Liu, Y. Zhuo, C. Wang, X. Qian, Y. Bai, G. Yuan, X. Ma, Y. Zhang, J. Tang, Q. Qiu, X. Lin, and B. Yuan. “CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-Circulant Weight Matrices.” In Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, pp. 395-408, 2017. doi: 10.1145/3123939.3124552.
[IIKI’17] Guo, Y., S. Han, Y. Li, C. Zhang, and Y. Bai. “K-Nearest Neighbor Combined with Guided Filter for Hyperspectral Image Classification.” Procedia Computer Science 129 (2018): 159-165. doi: 10.1016/j.procs.2018.03.066.
[IEEE MWSCAS’17] Famili, A., Y. Choi, and Y. Bai. “High Efficient Reconfigurable PUF Through Spin Hall-Induced Coupled Oscillators.” In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1117-1120, 2017. (Invited) doi: 10.1109/MWSCAS.2017.8053124.
[ACM GLSVLSI’17] Bai, Y., S. Hu, R. F. DeMara, and M. Lin. “A Spin-Orbit Torque-Based Cellular Neural Network (CNN) Architecture.” In Proceedings of the Great Lakes Symposium on VLSI 2017, pp. 59-64, 2017. doi: 10.1145/3060403.3060472.
[IEEE IIKI’16] Guo, Y., L. Meng, X. Tang, Y. Shi, H. Cao, and Y. Bai. “Artificial Haze Immune Algorithm for Image Processing.” In 2016 International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), pp. 93-98, 2016. doi: 10.1109/IIKI.2016.14.
[IEEE ICICM’16] Bai, Y., and M. Lin. “Stochastic-Based Logic Circuit Synthesis and Implementation through Large-Fanin Threshold Logic with Magnetic Tunneling Junctions.” In 2016 International Conference on Integrated Circuits and Microsystems (ICICM), pp. 55-60, 2016. doi: 10.1109/ICAM.2016.7813563.
[ACM GLSVLSI’16] Bai, Y., B. Hu, W. Kuang, and M. Lin. “Ultra-Robust Null Convention Logic Circuit with Emerging Domain Wall Devices.” In Proceedings of the 26th Great Lakes Symposium on VLSI, pp. 251-256, 2016. doi: 10.1145/2902961.2903019.
[ACM FPGA’16] Bai, Y., and M. Lin. “Stochastic-Based Spin-Programmable Gate Array with Emerging MTJ Device Technology (Abstract Only).” In Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, p. 279, 2016. doi: 10.1145/2847263.2847317.
[IEEE IUCC’15] Bai, Y., and M. Lin. “Universal Random Number Generation with Field-Programmable Analog Array and Magnetic Tunneling Junction (MTJ) Devices.” In 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, pp. 1338-1343, 2015. doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.198.
[ACM FPGA’15] Bai, Y., and M. Lin. “Energy-Efficient Discrete Signal Processing with Field-Programmable Analog Arrays (FPAAs).” In Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp. 84-93, 2015. doi: 10.1145/2684746.2689078.
[IEEE ReConFig’14] Bai, Y., and M. Lin. “Stochastically Computing Discrete Fourier Transform with Reconfigurable Digital Fabric.” In 2014 International Conference on ReConFigurable Computing and FPGAs (ReConFig), pp. 1-7, 2014. doi: 10.1109/ReConFig.2014.7032558.
[ACM FPGA’14] Alawad, M., Y. Bai, R. F. DeMara, and M. Lin. “Energy-Efficient Multiplier-Less Discrete Convolver through Probabilistic Domain Transformation.” In Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, pp. 185-188, 2014. doi: 10.1145/2554688.2554769.
[ACM FPGA’14] Bai, Y., M. Alawad, and M. Lin. “Optimally Mitigating BTI-Induced FPGA Device Aging with Discriminative Voltage Scaling (Abstract Only).” In Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, p. 246, 2014. doi: 10.1145/2554688.2554752.
[IEEE ReConFig’13] Bai, Y., M. Alawad, M. Riera, and M. Lin. “Improving Memory Performance in Reconfigurable Computing Architecture through Hardware-Assisted Dynamic Graph.” In 2013 International Conference on Reconfigurable Computing and FPGAs (ReConFig), pp. 1-8, 2013. doi: 10.1109/ReConFig.2013.6732300.
[IEEE FCCM’13] Bai, Y., M. Alawad, M. Riera, and M. Lin. “Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph.” In 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 21-24, 2013. doi: 10.1109/FCCM.2013.39.
[IEEE ICAIEES’13] Alawad, M., Y. Bai, and M. Lin. “Probabilistic Domain Transformation: A Robust and Energy-Efficient Computing Means.” In 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES), 2013.
[ACM FPGA’13] Bai, Y., A. Fuentes, M. Lin, and M. Riera. “Exploiting Algorithmic-Level Memory Parallelism in Distributed Logic-Memory Architecture through Hardware-Assisted Dynamic Graph (Abstract Only).” In Proceedings of the 2013 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, p. 273, 2013. doi: 10.1145/2435264.2435333.
[IEEE HASE’11] Lin, M., Y. Bai, and J. Wawrzynek. “Discriminatively Fortified Computing with Reconfigurable Digital Fabric.” In 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering (HASE), pp. 112-119, 2011. doi: 10.1109/HASE.2011.49.
[IEEE DSD’11] Bai, Y., and W. Kuang. “Design of Asynchronous Circuits on FPGAs for Soft Error Tolerance.” In 2011 14th Euromicro Conference on Digital System Design (DSD), pp. 247-253, 2011. doi: 10.1109/DSD.2011.35.
[SPL’11] Kuang, W., and Y. Bai. “Soft Error in FPGA-Implemented Asynchronous Circuits.” In 2011 VII Southern Conference on Programmable Logic (SPL), pp. 221-226, 2011. doi: 10.1109/SPL.2011.5782652.