Xianghong Hu
Orcid: 0000-0002-1237-4945
According to our database1,
Xianghong Hu
authored at least 18 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
High-performance Reconfigurable DNN Accelerator on a Bandwidth-limited Embedded System.
ACM Trans. Embed. Comput. Syst., November, 2023
A Tiny Accelerator for Mixed-Bit Sparse CNN Based on Efficient Fetch Method of SIMO SPad.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information.
CoRR, 2023
2022
IEEE Trans. Circuits Syst. II Express Briefs, 2022
A hardware-efficient computing engine for FPGA-based deep convolutional neural network accelerator.
Microelectron. J., 2022
An efficient loop tiling framework for convolutional neural network inference accelerators.
IET Circuits Devices Syst., 2022
IET Circuits Devices Syst., 2022
XPXP: improving polygenic prediction by cross-population and cross-phenotype analysis.
Bioinform., 2022
Proceedings of the International Conference on Machine Learning, 2022
An Efficient Parallel Architecture for Convolutional Neural Networks Accelerator on FPGAs.
Proceedings of the HP3C 2022: 6th International Conference on High Performance Compilation, 2022
TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Subgraph feature extraction based on multi-view dictionary learning for graph classification.
Knowl. Based Syst., 2021
IEICE Trans. Electron., 2021
2020
The Software/Hardware Co-Design and Implementation of SM2/3/4 Encryption/Decryption and Digital Signature System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020
Bayesian weighted Mendelian randomization for causal inference based on summary statistics.
Bioinform., 2020
Modeling and Simulation of Energy Hub Considering Solid Oxide Fuel Cell and Power to Gas.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
2019
A Resources-Efficient Configurable Accelerator for Deep Convolutional Neural Networks.
IEEE Access, 2019