Optimization of Fuzzy Control Parameters for Wind Farms and Battery Energy Storage Systems Based on an Enhanced Artificial Bee Colony Algorithm under Multi-Source Sensor Data.
Sensors, August, 2024
MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024
Efficient Accelerator/Network Co-Search With Circular Greedy Reinforcement Learning.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators.
J. Mach. Learn. Res., 2023
A<sup>2</sup>Q: Aggregation-Aware Quantization for Graph Neural Networks.
CoRR, 2023
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
TBERT: Dynamic BERT Inference with Top-k Based Predictors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA.
CoRR, 2021
Hardware Acceleration of Fully Quantized BERT for Efficient Natural Language Processing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
EBERT: Efficient BERT Inference with Dynamic Structured Pruning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Non-asymptotic Analysis in Kernel Ridge Regression.
CoRR, 2020
Hardware Acceleration of CNN with One-Hot Quantization of Weights and Activations.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
A System-Level Solution for Low-Power Object Detection.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019