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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework., , , , , , , and . CoRR, (2020)Interpreting Adversarial Examples by Activation Promotion and Suppression., , , , , , , and . CoRR, (2019)MSP: An FPGA-Specific Mixed-Scheme, Multi-Precision Deep Neural Network Quantization Framework., , , , , , and . CoRR, (2020)Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization., , , , , , , , , and 2 other author(s). FPL, page 109-116. IEEE, (2022)RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices., , , , , , , , , and . AAAI, page 9179-9187. AAAI Press, (2021)Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training., , , , , , , , , and 5 other author(s). AAAI, page 8360-8368. AAAI Press, (2023)Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework., , , , , , , , , and 2 other author(s). RTAS, page 493-496. IEEE, (2021)ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training., , , , , , , , , and 2 other author(s). DATE, page 1-6. IEEE, (2023)Continual Few-shot Event Detection via Hierarchical Augmentation Networks., , , , , , and . LREC/COLING, page 3868-3880. ELRA and ICCL, (2024)Adversarial T-Shirt! Evading Person Detectors in a Physical World., , , , , , , , and . ECCV (5), volume 12350 of Lecture Notes in Computer Science, page 665-681. Springer, (2020)