Chenghao Feng
Orcid: 0000-0003-4501-2446
According to our database1,
Chenghao Feng
authored at least 27 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator.
CoRR, 2024
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023
SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning.
CoRR, 2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator.
CoRR, 2023
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference.
CoRR, 2023
2022
Weighted Sum Rate Maximization of the mmWave Cell-Free MIMO Downlink Relying on Hybrid Precoding.
IEEE Trans. Wirel. Commun., 2022
Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
Joint Hybrid and Passive RIS-Assisted Beamforming for mmWave MIMO Systems Relying on Dynamically Configured Subarrays.
IEEE Internet Things J., 2022
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
Dynamic Hybrid Precoding Relying on Twin- Resolution Phase Shifters in Millimeter- Wave Communication Systems.
IEEE Trans. Wirel. Commun., 2021
Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
CoRR, 2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
2019
IEEE Commun. Lett., 2019
Design Technology for Scalable and Robust Photonic Integrated Circuits: Invited Paper.
Proceedings of the International Conference on Computer-Aided Design, 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019