Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead von Capra, Maurizio, Bussolino, Beatrice, Marchisio, Alberto, Masera, Guido, Martina, Maurizio, Shafique, Muhammad

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An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks von Capra, Maurizio, Bussolino, Beatrice, Marchisio, Alberto, Shafique, Muhammad, Masera, Guido, Martina, Maurizio

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Illustration image style transfer method design based on improved cyclic consistent adversarial network von Wang, Xiaojun, Jiang, Jing

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Avoiding catastrophic overfitting in fast adversarial training with adaptive similarity step size von Zhao, Jie-Chao, Ding, Jin, Sun, Yong-Zhi, Tan, Ping, Ma, Ji-En, Fang, You-Tong

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Large-scale acceleration algorithms for a deep convective physical parameterization scheme on GPU von Wang, Yongfei, Wang, Junping, Tian, Jiarui, Li, Lin, Ma, Fangping, Peng, Fang, Ke, Hu

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SE-MAConvLSTM: A deep learning framework for short-term traffic flow prediction combining Squeeze-and-Excitation Network and Multi-Attention Convolutional LSTM Network von Zhu, Rong, Tang, Jie, He, Xuansen, Zhou, Xianlai, Huang, Xiaohui, Wu, Fengyun, Chen, Songli

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PathEX: Make good choice for whole slide image extraction von Yang, Xinda, Zhang, Ranze, Yang, Yuan, Zhang, Yu, Chen, Kai

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Improve the Hunger Games search algorithm to optimize the GoogleNet model von Li, Yanqiu, Qu, Shizheng, Liu, Huan

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Biobjective gradient descent for feature selection on high dimension, low sample size data von Issa, Tina, Angel, Eric, Zehraoui, Farida

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An efficient algorithm for data transmission certainty in IIoT sensing network: A priority-based approach von Nalbant, Kemal Gökhan, Almutairi, Sultan, Alshehri, Asma Hassan, Kemal, Hayle, Alsuhibany, Suliman A, Choi, Bong Jun

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A blended wavefield separation method for seismic exploration based on improved GoogLeNet von Gan, ZhiQiang, Sun, XiangE

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A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection von Wang, Shujuan, Ren, Jialin, Guo, Xiaoli

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SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents von Putra, Rachmad Vidya Wicaksana, Marchisio, Alberto, Shafique, Muhammad

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AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient von Nikfam, Farzad, Marchisio, Alberto, Martina, Maurizio, Shafique, Muhammad

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A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks von Nikfam, Farzad, Casaburi, Raffaele, Marchisio, Alberto, Martina, Maurizio, Shafique, Muhammad

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RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks von Marchisio, Alberto, Mrazek, Vojtech, Massa, Andrea, Bussolino, Beatrice, Martina, Maurizio, Shafique, Muhammad

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DESCNet: Developing Efficient Scratchpad Memories for Capsule Network Hardware von Marchisio, Alberto, Mrazek, Vojtech, Hanif, Muhammad Abdullah, Shafique, Muhammad

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ISMatch: A real-time hardware accelerator for inexact string matching of DNA sequences on FPGA von Marchisio, Alberto, Teodonio, Federico, Rizzi, Antonello, Shafique, Muhammad

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FEECA: Design Space Exploration for Low-Latency and Energy-Efficient Capsule Network Accelerators von Marchisio, Alberto, Mrazek, Vojtech, Hanif, Muhammad Abdullah, Shafique, Muhammad

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SeVuc: A study on the Security Vulnerabilities of Capsule Networks against adversarial attacks von Marchisio, Alberto, Nanfa, Giorgio, Khalid, Faiq, Hanif, Muhammad Abdullah, Martina, Maurizio, Shafique, Muhammad

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