Publications

You can also find my full-list articles on my Google Scholar profile.

Selected Conference Papers

• 2024

  C14. PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

  • Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray Chen, Jiaqi Gu, and David Z. Pan
  • Conference on Neural Information Processing Systems (NeurIPS), 2024

  C13. Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator

  • Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Rongxing Tang, Zhekai Zhang, Chenghao Feng, Song Han, Ray T. Chen and David Z. Pan
  • IEEE International Symposium on High-Performance Computer Architecture (HPCA), Edinburgh, Scotland, UK, Mar 2 - Mar 6, 2024.
  • Acceptance Rate: 18% (75 among 410)
    
• 2023

  C12. Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers

  • Zixuan Jiang, Jiaqi Gu, Hanqing Zhu and David Z. Pan
  • Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, Dec 10 - Dec 16, 2023. (Spotlight).
    

  C11. DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator

  • preprint
  • Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Rongxing Tang, Zhekai Zhang, Chenghao Feng, Song Han, Ray T. Chen and David Z. Pan
  • Conference on Machine Learning and Systems (MLSys) Systems for Next-Gen AI Paradigms (SNAP) Workshop, Miami, OL, Jun 4 - Jun 8, 2023.
    
• 2022

  C10. NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation

  • accepted
  • Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray Chen, Duane S Boning and David Z. Pan
  • Conference on Neural Information Processing Systems (NeurIPS), Nov 26 - Dec 4, 2022.
    

  C9. Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration

  • accepted
  • Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray Chen, Jean Anne Incorvia and David Z. Pan
  • IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Oct. 30 - Nov. 03, 2022.

  C8. Optoelectronically Interconnected Hardware-Efficient Deep Learning using Silicon Photonic Chips

  • accepted
  • Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, and Ray T. Chen
  • SPIE PC12007, Optical Interconnects XXII, San Francisco, CA, Mar 5, 2022.
    

  C7. Design and Experimental Demonstration of A Hardware-Efficient Integrated Optical Neural Network

  • accepted
  • Chenghao Feng, Jiaqi Gu, Hanqing Zhu, David Z. Pan, and Ray T. Chen
  • SPIE PC12005, Smart Photonic and Optoelectronic Integrated Circuits, San Francisco, CA, Mar 5, 2022.
    

  C6 ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores

  • accepted
  • Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, and David Z. Pan
  • ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, Jul. 10-14, 2022.
    

  C5. ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement

  • accepted | preprint
  • Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, and David Z. Pan
  • IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC), Virtual Conference, Jan. 17-20, 2022
    

• 2021

  C4. L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization

  • accepted | preprint
  • Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, and David Z. Pan
  • Conference on Neural Information Processing Systems (NeurIPS), Dec. 7-10, 2021.
    

  C3. Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation

  • accepted | preprint
  • Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, and David Z. Pan
  • International Conference on Computer Vision (ICCV), Oct. 10-17, 2021.
    

  C2. Experimental Demonstration of a WDM-based Integrated Optical Decoder for Compact Optical Computing

  • accepted | preprint
  • Chenghao Feng, Jiaqi Gu, Hanqing Zhu, David Z. Pan, and Ray T. Chen
  • Conference on Lasers and Electro-Optics (CLEO), Virtual Conference, May 11-13, 2021.
    
• 2020

  C1. ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls

  • accepted | preprint
  • Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen and David Z. Pan
  • IEEE Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, Mar. 09-13, 2020.
    

Journal Papers

• 2024

  J8. Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator

  • Shupeng Ning, Hanqing Zhu(Co-first author), Chenghao Feng, Jiaqi Gu, Zhixing Jiang, Zhoufeng Ying, Jason Midkiff, Sourabh Jain, May H. Hlaing, David Z. Pan, and Ray T. Chen
  • IEEE Journal of Lightwave Technology (JLT), July. 2024.

  J7. Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning

  • Feng, Chenghao, Jiaqi Gu, Hanqing Zhu, Shupeng Ning, Rongxing Tang, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, and Ray T. Chen
  • Nanophotonics 13, no. 12 (2024): 2193-2206.

  J6. Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference

  • Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, and David Z. Pan
  • APL Machine Learning, 2024

  J5. Domain Wall-Magnetic Tunnel Junction Analog Content Addressable Memory Using Current and Projected Data

  • Harrison Jin, Hanqing Zhu, Keren Zhu, Thomas Leonard, Jaesuk Kwon, Mahshid Alamdar, Kwangseok Kim, Jungsik Park, Naoki Hase, David Z. Pan, Jean Anne C. Incorvia
  • IEEE Transactions on Nanotechnology, 2024
• 2022

  J4. A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning

  • Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan and Ray T. Chen
  • ACS Photonics, Nov 30, 2022.
    

  J3. SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network with Cross-Layer Scalability

  • preprint
  • Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen and David Z. Pan
  • IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Jul, 2022.
    

  J2. ELight: Towards Efficient and Aging-Resilient Photonic In-Memory Neurocomputing

  • accepted | preprint
  • Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen and David Z. Pan
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), May, 2022.
    

  J1. Light in AI: Toward Efficient Neurocomputing with Optical Neural Networks - A Tutorial

  • accepted
  • Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen and David Z. Pan
  • IEEE Transactions on Circuits and Systems–II: Express Briefs (TCAS-II), Apr., 2022.
    

Preprint