Exploiting Wavelength Division Multiplexing for Optical Logic Synthesis. - Zheng Zhao 003; Derong Liu 002; Zhoufeng Ying; Biying Xu; Chenghao Feng; Ray T. Chen; David Z. Pan (DATE, 2019)

Design Technology for Scalable and Robust Photonic Integrated Circuits: Invited Paper. - Zheng Zhao 003; Jiaqi Gu 002; Zhoufeng Ying; Chenghao Feng; Ray T. Chen; David Z. Pan (ICCAD, 2019)

Beam Selection for Wideband Millimeter Wave MIMO Relying on Lens Antenna Arrays. - Chenghao Feng; Wenqian Shen; Jianping An (IEEE Commun. Lett., 2019)

Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture. - Jiaqi Gu 002; Zheng Zhao 003; Chenghao Feng; Mingjie Liu; Ray T. Chen; David Z. Pan (ASP-DAC, 2020)

FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization. - Jiaqi Gu 002; Zheng Zhao 003; Chenghao Feng; Wuxi Li; Ray T. Chen; David Z. Pan (DAC, 2020)

ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. - Jiaqi Gu 002; Zheng Zhao 003; Chenghao Feng; Hanqing Zhu; Ray T. Chen; David Z. Pan (DATE, 2020)

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. - Jiaqi Gu 002; Chenghao Feng; Zheng Zhao 003; Zhoufeng Ying; Ray T. Chen; David Z. Pan (AAAI, 2021)

SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. - Jiaqi Gu 002; Chenghao Feng; Zheng Zhao 003; Zhoufeng Ying; Mingjie Liu; Ray T. Chen; David Z. Pan (DATE, 2021)

O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands. - Jiaqi Gu 002; Zheng Zhao 003; Chenghao Feng; Zhoufeng Ying; Ray T. Chen; David Z. Pan (DATE, 2021)

Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (ICCV, 2021)

L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Ray T. Chen; David Z. Pan (NeurIPS, 2021)

Silicon photonic subspace neural chip for hardware-efficient deep learning. - Chenghao Feng; Jiaqi Gu 002; Hanqing Zhu; Zhoufeng Ying; Zheng Zhao 003; David Z. Pan; Ray T. Chen (CoRR, 2021)

Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. - Jiaqi Gu 002; Zheng Zhao 003; Chenghao Feng; Zhoufeng Ying; Mingjie Liu; Ray T. Chen; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Dynamic Hybrid Precoding Relying on Twin- Resolution Phase Shifters in Millimeter- Wave Communication Systems. - Chenghao Feng; Wenqian Shen; Xinyu Gao; Jianping An; Lajos Hanzo (IEEE Trans. Wirel. Commun., 2021)

ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. - Hanqing Zhu; Jiaqi Gu 002; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (ASP-DAC, 2022)

ADEPT: automatic differentiable DEsign of photonic tensor cores. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Mingjie Liu; Shuhan Zhang; Ray T. Chen; David Z. Pan (DAC, 2022)

NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. - Jiaqi Gu 002; Zhengqi Gao; Chenghao Feng; Hanqing Zhu; Ray T. Chen; Duane S. Boning; David Z. Pan (NeurIPS, 2022)

Joint Hybrid and Passive RIS-Assisted Beamforming for mmWave MIMO Systems Relying on Dynamically Configured Subarrays. - Chenghao Feng; Wenqian Shen; Jianping An; Lajos Hanzo (IEEE Internet Things J., 2022)

Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. - Jiaqi Gu 002; Chenghao Feng; Hanqing Zhu; Ray T. Chen; David Z. Pan (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Weighted Sum Rate Maximization of the mmWave Cell-Free MIMO Downlink Relying on Hybrid Precoding. - Chenghao Feng; Wenqian Shen; Jianping An; Lajos Hanzo (IEEE Trans. Wirel. Commun., 2022)

M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. - Jiaqi Gu 002; Hanqing Zhu; Chenghao Feng; Zixuan Jiang; Ray T. Chen; David Z. Pan (CoRR, 2023)

DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxin Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (CoRR, 2023)

Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. - Chenghao Feng; Jiaqi Gu 002; Hanqing Zhu; Rongxing Tang; Shupeng Ning; May Hlaing; Jason Midkiff; Sourabh Jain; David Z. Pan; Ray T. Chen (CoRR, 2023)

SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. - Jiaqi Gu 002; Chenghao Feng; Hanqing Zhu; Zheng Zhao 003; Zhoufeng Ying; Mingjie Liu; Ray T. Chen; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. - Hanqing Zhu; Jiaqi Gu 002; Chenghao Feng; Mingjie Liu; Zixuan Jiang; Ray T. Chen; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. - Hanqing Zhu; Jiaqi Gu 002; Hanrui Wang 002; Zixuan Jiang; Zhekai Zhang; Rongxing Tang; Chenghao Feng; Song Han 003; Ray T. Chen; David Z. Pan (HPCA, 2024)

Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. - Shupeng Ning; Hanqing Zhu; Chenghao Feng; Jiaqi Gu 002; Zhixing Jiang; Zhoufeng Ying; Jason Midkiff; Sourabh Jain; May H. Hlaing; David Z. Pan; Ray T. Chen (CoRR, 2024)

A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression. - Shupeng Ning; Hanqing Zhu; Chenghao Feng; Jiaqi Gu 002; David Z. Pan; Ray T. Chen (CoRR, 2025)