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Yu Bai 0004
Person information
- affiliation: California State University, School of Engineering and Computer Science, Fullerton, CA, USA
- affiliation (PhD 2016): University of Central Florida, Orlando, FL, USA
Other persons with the same name
- Yu Bai — disambiguation page
- Yu Bai 0001 — Brown University, Division of Engineering, Providence, RI, USA
- Yu Bai 0002 — Shenyang Aerospace University, Research Center for Knowledge Engineering, China
- Yu Bai 0003 — University of Kaiserslautern, Department of Computer Science, Embedded Systems Group, Germany
- Yu Bai 0005
— Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China
- Yu Bai 0006
- Yu Bai 0007
- Yu Bai 0008 — Beijing University of Technology, Signal and Information Processing Laboratory, China
- Yu Bai 0009
- Yu Bai 0010
- Yu Bai 0011
- Yu Bai 0012
- Yu Bai 0013
- Yu Bai 0014
- Yu Bai 0015
- Yu Bai 0016
- Yu Bai 0017 — Salesforce Research, Palo Alto, CA, USA (and 1 more)
- Yu Bai 0018 — Beijing Institute of Technology, School of Computer Science and Technology, China
- Yu Bai 0019
- Yu Bai 0020
- Yu Bai 0021 — Alibaba Group, Beijing, China
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2020 – today
- 2024
- [j14]Yunchuan Sun, Yu Bai, Zhangbing Zhou:
Collaboration of AI, big data, and blockchain in Internet of Things (IoT): Emerging trends and perspectives. Internet Things 27: 101234 (2024) - [j13]Rui Tian
Swin-MSP: A Shifted Windows Masked Spectral Pretraining Model for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c28]Richard C. Yarnell
Educational Tool-spaces for Convolutional Neural Network FPGA Design Space Exploration Using High-Level Synthesis. ACM Great Lakes Symposium on VLSI 2024: 343-346 - [i2]Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. CoRR abs/2408.01534 (2024) - 2023
- [j12]Mingshuo Liu
Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train. Internet Things 22: 100680 (2023) - [c27]Xiaotian Ma, Jiaqi Tang, Yu Bai:
Locality-sensing Fast Neural Network (LFNN): An Efficient Neural Network Acceleration Framework via Locality Sensing for Real-time Videos Queries. ISQED 2023: 1-8 - 2022
- [c26]Xiaotian Ma, Kevin Han, Yucheng Yang, Ronald F. DeMara, Yu Bai:
Hardware Oriented Strip-wise Optimization (HOSO) Framework for Efficient Deep Neural Network. SOCC 2022: 1-6 - 2021
- [j11]Ashkan Samiee, Payal Borulkar
Low-Energy Acceleration of Binarized Convolutional Neural Networks Using a Spin Hall Effect Based Logic-in-Memory Architecture. IEEE Trans. Emerg. Top. Comput. 9(2): 928-940 (2021) - [c25]Mingshuo Liu, Shiyi Luo, Kevin Han, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Real-Time Object Detection Framework on Resource-Constricted Hardware Devices via Software and Hardware Co-design. ASAP 2021: 77-84 - [c24]Mingshuo Liu, Kevin Han, Shiyi Luo, Mingze Pan, Mousam Hossain, Bo Yuan, Ronald F. DeMara, Yu Bai:
An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset. ACM Great Lakes Symposium on VLSI 2021: 391-396 - 2020
- [c23]Kalyan Sahu
Supervised Sentiment Analysis of Twitter Handle of President Trump with Data Visualization Technique. CCWC 2020: 640-646
2010 – 2019
- 2019
- [j10]Ashkan Samiee, Yunchuan Sun, Ronald F. DeMara
Energy Efficient Mobile Service Computing With Differential Spintronic-C-Elements: A Logic-in-Memory Asynchronous Computing Paradigm. IEEE Access 7: 55851-55860 (2019) - [j9]Yunchuan Sun, Xiuzhen Cheng, Yu Bai, Jiguo Yu:
Information, knowledge, and semantics for interacting with Internet-of-Things. Comput. Networks 161: 281-282 (2019) - [j8]Yanhui Guo, Xijie Yin, Xuechen Zhao, Dongxin Yang, Yu Bai
Hyperspectral image classification with SVM and guided filter. EURASIP J. Wirel. Commun. Netw. 2019: 56 (2019) - [j7]Yanhui Guo
High Efficient Deep Feature Extraction and Classification of Spectral-Spatial Hyperspectral Image Using Cross Domain Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 345-356 (2019) - [j6]Mohammed Alawad
Robust and Large-Scale Convolution through Stochastic-Based Processing without Multipliers. IEEE Trans. Emerg. Top. Comput. 7(1): 80-97 (2019) - [c22]Oscar Olazabal, Mikhail I. Gofman, Yu Bai, Yoonsuk Choi, Noel Sandico, Sinjini Mitra, Kevin Pham:
Multimodal Biometrics for Enhanced IoT Security. CCWC 2019: 886-893 - [c21]Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan:
Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. ICASSP 2019: 1443-1447 - [p1]Mikhail I. Gofman, Sinjini Mitra, Yu Bai, Yoonsuk Choi:
Security, Privacy, and Usability Challenges in Selfie Biometrics. Selfie Biometrics 2019: 313-353 - 2018
- [j5]Yanhui Guo
An Adaptive SVR for High-Frequency Stock Price Forecasting. IEEE Access 6: 11397-11404 (2018) - [j4]Yanhui Guo
Spectral-Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter. IEEE Access 6: 18582-18591 (2018) - [j3]Yu Bai
Clockless Spintronic Logic: A Robust and Ultra-Low Power Computing Paradigm. IEEE Trans. Computers 67(5): 631-645 (2018) - [j2]Yu Bai
Stochastic-Based Synapse and Soft-Limiting Neuron with Spintronic Devices for Low Power and Robust Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4(3): 463-476 (2018) - [c20]Ashkan Samiee, Yinjie Huang, Yu Bai:
FRLDM: Empowering K-nearest Neighbor (KNN) through FPGA-based Reduced-rank Local Distance Metric. IEEE BigData 2018: 4742-4746 - [c19]Divya Geethakumari Anil, Yu Bai, Yoonsuk Choi:
Performance evaluation of ternary computation in SRAM design using graphene nanoribbon field effect transistors. CCWC 2018: 382-388 - [c18]Shaahin Angizi
Leveraging Spintronic Devices for Efficient Approximate Logic and Stochastic Neural Networks. ACM Great Lakes Symposium on VLSI 2018: 397-402 - 2017
- [c17]Yu Bai, X. Sharon Hu
A Spin-Orbit Torque based Cellular Neural Network (CNN) Architecture. ACM Great Lakes Symposium on VLSI 2017: 59-64 - [c16]Yanhui Guo, Siming Han, Ying Li, Cuifen Zhang, Yu Bai:
K-Nearest Neighbor combined with guided filter for hyperspectral image classification. IIKI 2017: 159-165 - [c15]Caiwen Ding
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. MICRO 2017: 395-408 - [c14]Azadeh Famili, Yoonsuk Choi, Yu Bai:
High efficient reconfigurable PUF through spin hall-induced coupled-oscillators. MWSCAS 2017: 1117-1120 - [i1]Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan:
CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. CoRR abs/1708.08917 (2017) - 2016
- [c13]Yu Bai, Mingjie Lin:
Stochastic-Based Spin-Programmable Gate Array with Emerging MTJ Device Technology (Abstract Only). FPGA 2016: 279 - [c12]Yu Bai, Bo Hu, Weidong Kuang, Mingjie Lin:
Ultra-Robust Null Convention Logic Circuit with Emerging Domain Wall Devices. ACM Great Lakes Symposium on VLSI 2016: 251-256 - [c11]Yanhui Guo, Lin Meng
Artificial Haze Immune Algorithm for Image Processing. IIKI 2016: 93-98 - 2015
- [c10]Yu Bai, Mingjie Lin:
Universal Random Number Generation with Field-Programmable Analog Array and Magnetic Tunneling Junction (MTJ) Devices. CIT/IUCC/DASC/PICom 2015: 1338-1343 - [c9]Yu Bai, Mingjie Lin:
Energy-Efficient Discrete Signal Processing with Field Programmable Analog Arrays (FPAAs). FPGA 2015: 84-93 - 2014
- [c8]Mohammed Alawad
Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation. FPGA 2014: 185-188 - [c7]Yu Bai, Mohammed Alawad, Mingjie Lin:
Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only). FPGA 2014: 246 - [c6]Yu Bai, Mingjie Lin:
Stochastically computing discrete Fourier transform with reconfigurable digital fabric. ReConFig 2014: 1-7 - 2013
- [c5]Yu Bai, Abigail Fuentes-Rivera, Michael Riera, Mohammed Alawad
Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph. FCCM 2013: 21-24 - [c4]Yu Bai, Abigail Fuentes-Rivera, Mingjie Lin, Mike Riera:
Exploiting algorithmic-level memory parallelism in distributed logic-memory architecture through hardware-assisted dynamic graph (abstract only). FPGA 2013: 273 - [c3]Yu Bai, Mohammed Alawad
Improving memory performance in reconfigurable computing architecture through hardware-assisted dynamic graph. ReConFig 2013: 1-8 - 2012
- [j1]Mingjie Lin, Yu Bai, John Wawrzynek:
Selectively Fortifying Reconfigurable Computing Device to Achieve Higher Error Resilience. J. Electr. Comput. Eng. 2012: 593532:1-593532:12 (2012) - 2011
- [c2]Yu Bai, Weidong Kuang:
Design of Asynchronous Circuits on FPGAs for Soft Error Tolerance. DSD 2011: 247-253 - [c1]Mingjie Lin, Yu Bai, John Wawrzynek:
Discriminatively Fortified Computing with Reconfigurable Digital Fabric. HASE 2011: 112-119
Coauthor Index
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last updated on 2024-12-19 23:12 CET by the dblp team
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