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Qi Li
Qi Li
立命館大学
在 ed.ritsumei.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Iot-based automatic deep learning model generation and the application on empty-dish recycling robots
Y Ge, Z Li, X Yue, H Li, Q Li, L Meng
Internet of Things 25, 101047, 2024
112024
Deep learning architecture improvement based on dynamic pruning and layer fusion
Q Li, H Li, L Meng
Electronics 12 (5), 1208, 2023
72023
Feature map analysis-based dynamic cnn pruning and the acceleration on fpgas
Q Li, H Li, L Meng
Electronics 11 (18), 2887, 2022
72022
Facial Expression Recognition with Face Mask using Attention Mechanism and Metric Loss
S Hayashi, Q Li, L Meng
2023 International Conference on Advanced Mechatronic Systems (ICAMechS), 1-6, 2023
22023
A generic deep learning architecture optimization method for edge device based on start-up latency reduction
Q Li, H Li, L Meng
Journal of Real-Time Image Processing 21 (4), 116, 2024
12024
Optimization and deployment of dnns for risc-v-based edge ai
Z Su, Q Li, H Kaneko, H Li, L Meng
2024 IEEE International Conference on Real-time Computing and Robotics (RCAR …, 2024
12024
A Deep Analysis of Grouped Convolution Schemes for Improving Deep Learning Performance.
J Gong, H Li, Q Li, L Meng
ATAIT, 45-52, 2021
12021
A Comprehensive analysis of Deployment Optimization Methods for CNN-Based Applications on Edge Devices
Q Li, Z Su, L Meng
Elektrotehniski Vestnik 91 (3), 95-107, 2024
2024
深層学習を用いた古代文献の整理――甲骨文字, 白川トレース, 日本古典籍
藤川佳之, 松田龍弥, 石橋龍人, 孟林
ART RESEARCH 24, 1, 2024
2024
Facial Expression Recognition with Face Mask using Attention Mechanism.
S Hayashi, Y Ono, R Ishibashi, Q Li, L Meng
ATAIT, 66-76, 2023
2023
CNN Acceleration based on Dynamic Pruning and FPGAs Implementation
Q Li, H Li, L Meng
2022 19th International SoC Design Conference (ISOCC), 205-206, 2022
2022
冗長計算分析と FPGA 加速に基づいたコンパクトかつ高速な CNN の実現
李祺, 李恒毅, 孟林
電子情報通信学会技術研究報告; 信学技報 122 (60), 89-94, 2022
2022
Deep Learning Performance-up by Feature-map Characteristic Analysis and Redundancy Reduction
Q LI, H LI, W WANG, L MENG
電気学会研究会資料 (Web), 9-13, 2021
2021
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