MDTC: An efficient approach to TCAM-based multidimensional table compression. - Hanqing Zhu; Mingwei Xu; Qing Li 006; Jun Li 001; Yuan Yang 001; Suogang Li (Networking, 2015)

A Rule-Based Computational Model of Cognitive Arithmetic. - Ashis Pati; Kantwon Rogers; Hanqing Zhu (CoRR, 2017)

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)

An Analytical Model for Normative Financial Texts and Research on Financial Strategies in an Intelligent Multi-factor Framework. - Wei Zhang 138; Hanqing Zhu; Zhigang Gao (DASC/PiCom/CBDCom/CyberSciTech, 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)

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)

Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. - Hanqing Zhu; Keren Zhu 001; Jiaqi Gu 002; Harrison Jin; Ray T. Chen; Jean Anne C. Incorvia; David Z. Pan (ICCAD, 2022)

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Weiwei Deng; Qi Zhang 066; Xing Xie 001 (KDD, 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)

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. - Jianjin Zhang; Zheng Liu 011; Weihao Han; Shitao Xiao; Ruicheng Zheng; Yingxia Shao; Hao Sun 015; Hanqing Zhu; Premkumar Srinivasan; Denvy Deng; Qi Zhang 066; Xing Xie 001 (CoRR, 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)

A High Resolution SAR Imaging Method for Moving Target Based on Range Doppler and Particle Swarm Optimization Algorithm. - Dajiang Zhou; Hanqing Zhu; Yulin Huang 001; Yongchao Zhang 001; Jianyu Yang 001; Qingying Yi (IGARSS, 2023)

Moving Target Detection Method for Passive Radar Using LEO Communication Satellite Constellation. - Hanqing Zhu; Dajiang Zhou; Zhongyu Li 001; Hongyang An; Chuan Huang; Yun Zhou; Jianyu Yang 001 (IGARSS, 2023)

Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. - Zixuan Jiang; Jiaqi Gu 002; Hanqing Zhu; David Z. Pan (NeurIPS, 2023)

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)

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)

The design, education and evolution of a robotic baby. - Hanqing Zhu (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)

The Design, Education and Evolution of a Robotic Baby. - Hanqing Zhu; Sean Wilson; Eric Feron (IEEE Trans. Robotics, 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)

Inductive Modeling for Realtime Cold Start Recommendations. - Chandler Zuo; Jonathan Castaldo; Hanqing Zhu; Haoyu Zhang; Ji Liu; Yangpeng Ou; Xiao Kong (KDD, 2024)

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices. - Hanqing Zhu; Wenyan Cong; Guojin Chen; Shupeng Ning; Ray T. Chen; Jiaqi Gu 002; David Z. Pan (NeurIPS, 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)

LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation. - Guojin Chen; Keren Zhu 001; Seunggeun Kim; Hanqing Zhu; Yao Lai; Bei Yu 001; David Z. Pan (CoRR, 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)

APOLLO: SGD-like Memory, AdamW-level Performance. - Hanqing Zhu; Zhenyu Zhang 015; Wenyan Cong; Xi Liu; Sem Park; Vikas Chandra; Bo Long; David Z. Pan; Zhangyang Wang; Jinwon Lee (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)

Can Test-Time Scaling Improve World Foundation Model? - Wenyan Cong; Hanqing Zhu; Peihao Wang; Bangya Liu; Dejia Xu; Kevin Wang; David Z. Pan; Yan Wang 051; Zhiwen Fan; Zhangyang Wang (CoRR, 2025)