Hanqing Zhu

According to our database, Hanqing Zhu authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers.

Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan

CoRR, 2024

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation.

Guojin Chen, Keren Zhu, Seunggeun Kim, Hanqing Zhu, Yao Lai, Bei Yu, David Z. Pan

CoRR, 2024

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

Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, Zhixing Jiang, Zhoufeng Ying, Jason Midkiff, Sourabh Jain, May H. Hlaing, David Z. Pan, Ray T. Chen

CoRR, 2024

Inductive Modeling for Realtime Cold Start Recommendations.

Chandler Zuo, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator.

Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

The Design, Education and Evolution of a Robotic Baby.

Hanqing Zhu, Sean Wilson, Eric Feron

IEEE Trans. Robotics, June, 2023

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

Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

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

Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints.

Zhili Xiong, Rachel Selina Rajarathnam, Zhixing Jiang, Hanqing Zhu, David Z. Pan

CoRR, 2023

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

Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen

CoRR, 2023

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

Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan

CoRR, 2023

M3ICRO: 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, David Z. Pan

CoRR, 2023

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

Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Moving Target Detection Method for Passive Radar Using LEO Communication Satellite Constellation.

Hanqing Zhu, Dajiang Zhou, Zhongyu Li, Hongyang An, Chuan Huang, Yun Zhou, Jianyu Yang

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A High Resolution SAR Imaging Method for Moving Target Based on Range Doppler and Particle Swarm Optimization Algorithm.

Dajiang Zhou, Hanqing Zhu, Yulin Huang, Yongchao Zhang, Jianyu Yang, Qingying Yi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

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

Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan

IEEE Trans. Circuits Syst. II Express Briefs, 2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie

CoRR, 2022

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

Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

ADEPT: automatic differentiable DEsign of photonic tensor cores.

Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

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

Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

Silicon photonic subspace neural chip for hardware-efficient deep learning.

Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen

CoRR, 2021

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

Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

An Analytical Model for Normative Financial Texts and Research on Financial Strategies in an Intelligent Multi-factor Framework.

Wei Zhang, Hanqing Zhu, Zhigang Gao

Proceedings of the IEEE Intl Conf on Dependable, 2021

2020

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

Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2017

A Rule-Based Computational Model of Cognitive Arithmetic.

Ashis Pati, Kantwon Rogers, Hanqing Zhu

CoRR, 2017

2015

MDTC: An efficient approach to TCAM-based multidimensional table compression.

Hanqing Zhu, Mingwei Xu, Qing Li, Jun Li, Yuan Yang, Suogang Li

Proceedings of the 14th IFIP Networking Conference, 2015