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2020 – today
- 2024
[c15]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703- [c14]Chandler Zuo
, Jonathan Castaldo, Hanqing Zhu, Haoyu Zhang, Ji Liu, Yangpeng Ou, Xiao Kong:
Inductive Modeling for Realtime Cold Start Recommendations. KDD 2024: 6400-6409 - [i17]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:
Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. CoRR abs/2403.14806 (2024) - [i16]Guojin Chen, Keren Zhu, Seunggeun Kim, Hanqing Zhu, Yao Lai, Bei Yu, David Z. Pan:
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation. CoRR abs/2406.05250 (2024) - [i15]Souradip Poddar, Youngmin Oh, Yao Lai, Hanqing Zhu, Bosun Hwang, David Z. Pan:
INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers. CoRR abs/2407.07346 (2024) - 2023
- [j4]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan:
SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 807-819 (2023) - [j3]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 820-833 (2023) - [j2]Hanqing Zhu, Sean Wilson, Eric Feron:
The Design, Education and Evolution of a Robotic Baby. IEEE Trans. Robotics 39(3): 2488-2507 (2023) - [c13]Hanqing Zhu, Dajiang Zhou, Zhongyu Li, Hongyang An, Chuan Huang, Yun Zhou, Jianyu Yang:
Moving Target Detection Method for Passive Radar Using LEO Communication Satellite Constellation. IGARSS 2023: 8090-8093 - [c12]Dajiang Zhou, Hanqing Zhu, Yulin Huang, Yongchao Zhang, Jianyu Yang, Qingying Yi:
A High Resolution SAR Imaging Method for Moving Target Based on Range Doppler and Particle Swarm Optimization Algorithm. IGARSS 2023: 8261-8264 - [c11]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS 2023 - [i14]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR abs/2305.14858 (2023) - [i13]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR abs/2305.19505 (2023) - [i12]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - [i11]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen:
Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. CoRR abs/2305.19592 (2023) - [i10]Zhili Xiong, Rachel Selina Rajarathnam, Zhixing Jiang, Hanqing Zhu, David Z. Pan:
DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints. CoRR abs/2311.08582 (2023) - 2022
- [j1]Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2581-2585 (2022) - [c10]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC 2022: 332-338 - [c9]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC 2022: 937-942 - [c8]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD 2022: 37:1-37:9 - [c7]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD 2022: 4493-4501 - [c6]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS 2022 - [i9]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR abs/2202.06212 (2022) - [i8]Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan:
Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR abs/2208.08099 (2022) - [i7]Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan:
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR abs/2209.10098 (2022) - 2021
- [c5]Wei Zhang, Hanqing Zhu, Zhigang Gao:
An Analytical Model for Normative Financial Texts and Research on Financial Strategies in an Intelligent Multi-factor Framework. DASC/PiCom/CBDCom/CyberSciTech 2021: 560-566 - [c4]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV 2021: 5209-5218 - [c3]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS 2021: 8649-8661 - [i6]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR abs/2108.11430 (2021) - [i5]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR abs/2110.14807 (2021) - [i4]Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen:
Silicon photonic subspace neural chip for hardware-efficient deep learning. CoRR abs/2111.06705 (2021) - [i3]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR abs/2112.08512 (2021) - [i2]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR abs/2112.08703 (2021) - 2020
- [c2]Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan:
ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. DATE 2020: 1586-1589
2010 – 2019
- 2017
- [i1]Ashis Pati, Kantwon Rogers, Hanqing Zhu:
A Rule-Based Computational Model of Cognitive Arithmetic. CoRR abs/1705.01208 (2017) - 2015
- [c1]Hanqing Zhu, Mingwei Xu, Qing Li, Jun Li, Yuan Yang, Suogang Li:
MDTC: An efficient approach to TCAM-based multidimensional table compression. Networking 2015: 1-9
Coauthor Index
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