Chenghao Feng

The University of Texas at Austin — United States

Engineering · Physical Sciences

10h-index398citations35works3.62yr avg
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Research Topics

Photonic and Optical Devices(30), Optical Network Technologies(29), Neural Networks and Reservoir Computing(26), Advanced Fiber Laser Technologies(4), Advanced Memory and Neural Computing(3)

Publications35 total

Hardware-efficient photonic tensor core: accelerating deep neural networks with structured compression
Optica·2025· 3 citedOpen Access
A compact optical neuron based on multi-operand microring resonators (Conference Presentation)
2025
Incubating advances in integrated photonics with emerging sensing and computational capabilities
Applied Physics Reviews·2025· 6 citedOpen Access
Microring-Based Multi-Operand Optical Neurons with On-Chip Trainable Nonlinearity
2025
Early Pancreatic Cancer Detection Using Deep Learning and Optical Neural Networks on Integrated Photonic Chips
2025
A hardware-efficient silicon electronic-photonic chip for optical structured neural networks
2024· 1 cited
M3ICRO: Machine learning-enabled compact photonic tensor core based on programmable multi-operand multimode interference
APL Machine Learning·2024· 7 citedOpen Access
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning
Nanophotonics·2024· 12 citedOpen Access
Integrated Photonics for Computing and Artificial Intelligence
2023· 6 cited
A point-of-care biosensor for rapid detection and differentiation of COVID-19 virus (SARS-CoV-2) and influenza virus using subwavelength grating micro-ring resonator
Applied Physics Reviews·2023· 31 citedOpen Access
A Compact Butterfly-Style Silicon Photonic–Electronic Neural Chip for Hardware-Efficient Deep Learning
ACS Photonics·2022· 57 cited
Optoelectronically interconnected hardware-efficient deep learning using silicon photonic chips
2022
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)·2022· 7 cited
Integrated electronic-photonic barrel shifter for high-performance optical computing
Conference on Lasers and Electro-Optics·2022
Silicon photonic subspace neural chip for hardware-efficient deep learning.
arXiv (Cornell University)·2021· 7 citedOpen Access
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
2021 IEEE/CVF International Conference on Computer Vision (ICCV)·2021· 5 cited
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation
arXiv (Cornell University)·2021Open Access
Toward High‐Speed and Energy‐Efficient Computing: A WDM‐Based Scalable On‐Chip Silicon Integrated Optical Comparator
Laser & Photonics Review·2021· 22 cited
Wavelength-division-multiplexing-based electronic-photonic integrated circuits for high-performance data processing and transportation
2021
Scalable fast-Fourier-transform-based (FFT-based) integrated optical neural network for compact and energy-efficient deep learning
2021
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Frequent Co-authors

Ray T. Chen(33), David Z. Pan(30), Jiaqi Gu(25), Zhoufeng Ying(17), Zheng Zhao(16), Hanqing Zhu(14), Shupeng Ning(9), Zixuan Jiang(4), Rohan Mital(3), Richard Soref(3), Mingjie Liu(3), Hanqing Zhu(3), Rongxing Tang(3), Kang-Chieh Fan(2), Po-yu Hsiao(2), Jason Midkiff(2), Sourabh Jain(2), Shounak Dhar(1), Chi-Jui Chung(1), Hao-Chen Chang(1)