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)

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)

Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning. - Mingjie Liu; Keren Zhu 001; Jiaqi Gu 002; Linxiao Shen; Xiyuan Tang; Nan Sun 001; David Z. Pan (DATE, 2020)

An Efficient Training Framework for Reversible Neural Architectures. - Zixuan Jiang; Keren Zhu 001; Mingjie Liu; Jiaqi Gu 002; David Z. Pan (ECCV (27), 2020)

DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. - Jiaqi Gu 002; Zixuan Jiang; Yibo Lin; David Z. Pan (ICCAD, 2020)

ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs. - Yibo Lin; Wuxi Li; Jiaqi Gu 002; Haoxing Ren; Brucek Khailany; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. - Shubham Rai; Walter Lau Neto; Yukio Miyasaka; Xinpei Zhang; Mingfei Yu; Qingyang Yi; Masahiro Fujita; Guilherme B. Manske; Matheus F. Pontes; Leomar S. da Rosa; Marilton S. de Aguiar; Paulo F. Butzen; et al. (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)

Optimizer Fusion: Efficient Training with Better Locality and Parallelism. - Zixuan Jiang; Jiaqi Gu 002; Mingjie Liu; Keren Zhu 001; David Z. Pan (CoRR, 2021)

A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. - Zixuan Jiang; Jiaqi Gu 002; David Z. Pan (CoRR, 2021)

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (CoRR, 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)

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. - Yibo Lin; Zixuan Jiang; Jiaqi Gu 002; Wuxi Li; Shounak Dhar; Haoxing Ren; Brucek Khailany; David Z. Pan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Jiaqi Gu 002; Hyoukjun Kwon; Dilin Wang; Wei Ye 008; Meng Li 004; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra; David Z. Pan (CVPR, 2022)

QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. - Hanrui Wang 002; Jiaqi Gu 002; Yongshan Ding 001; Zirui Li; Frederic T. Chong; David Z. Pan; Song Han 003 (DAC, 2022)

QOC: quantum on-chip training with parameter shift and gradient pruning. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (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)

A timing engine inspired graph neural network model for pre-routing slack prediction. - Zizheng Guo; Mingjie Liu; Jiaqi Gu 002; Shuhan Zhang; David Z. Pan; Yibo Lin (DAC, 2022)

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. - Hanrui Wang 002; Yongshan Ding 001; Jiaqi Gu 002; Yujun Lin 001; David Z. Pan; Frederic T. Chong; Song Han 003 (HPCA, 2022)

TorchQuantum Case Study for Robust Quantum Circuits. - Hanrui Wang 002; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; Song Han 003 (ICCAD, 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)

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. - Wei Shi 011; Hanrui Wang 002; Jiaqi Gu 002; Mingjie Liu; David Z. Pan; Song Han 003; Nan Sun 001 (MLCAD, 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)

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. - Hanrui Wang 002; Zirui Li; Jiaqi Gu 002; Yongshan Ding 001; David Z. Pan; Song Han 003 (CoRR, 2022)

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. - Hanrui Wang 002; Pengyu Liu; Jinglei Cheng; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; Xuehai Qian; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2022)

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. - Jiaqi Gu 002; Ben Keller; Jean Kossaifi; Anima Anandkumar; Brucek Khailany; David Z. Pan (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)

Delving into Effective Gradient Matching for Dataset Condensation. - Zixuan Jiang; Jiaqi Gu 002; Mingjie Liu; David Z. Pan (COINS, 2023)

NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. - Zixuan Jiang; Jiaqi Gu 002; David Z. Pan (COINS, 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)

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. - Tianlong Chen 001; Zhenyu Zhang 015; Hanrui Wang 002; Jiaqi Gu 002; Zirui Li; David Z. Pan; Frederic T. Chong; Song Han 003; Zhangyang Wang (QCE, 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)

FPQA-C: A Compilation Framework for Field Programmable Qubit Array. - Hanrui Wang 002; Pengyu Liu; Bochen Tan; Yilian Liu; Jiaqi Gu 002; David Z. Pan; Jason Cong; Umut A. Acar; Song Han 003 (CoRR, 2023)

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. - Hanrui Wang 002; Yilian Liu; Pengyu Liu; Jiaqi Gu 002; Zirui Li; Zhiding Liang; Jinglei Cheng; Yongshan Ding 001; Xuehai Qian; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2023)

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. - Hanrui Wang 002; Pengyu Liu; Kevin Shao; Dantong Li; Jiaqi Gu 002; David Z. Pan; Yongshan Ding 001; Song Han 003 (CoRR, 2023)

Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. - Hanrui Wang 002; Bochen Tan; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jason Cong; Song Han 003 (CoRR, 2023)

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. - Hanrui Wang 002; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jonathan M. Baker; Frederic T. Chong; Song Han 003 (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)

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. - Hanrui Wang 002; Daniel Bochen Tan; Pengyu Liu; Yilian Liu; Jiaqi Gu 002; Jason Cong; Song Han 003 (DAC, 2024)

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)

SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. - Ziang Yin; Nicholas Gangi; Meng Zhang 023; Jeff Zhang 001; Z. Rena Huang; Jiaqi Gu 002 (ICCAD, 2024)

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. - Hanrui Wang 002; Pengyu Liu; Daniel Bochen Tan; Yilian Liu; Jiaqi Gu 002; David Z. Pan; Jason Cong; Umut A. Acar; Song Han 003 (ISCA, 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)

TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator. - Meng Zhang 023; Dennis Yin; Nicholas Gangi; Amir Begovic; Alexander Chen; Zhaoran Rena Huang; Jiaqi Gu 002 (CoRR, 2024)

DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators. - Haotian Lu 002; Sanmitra Banerjee; Jiaqi Gu 002 (CoRR, 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)

PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation. - Pingchuan Ma 012; Haoyu Yang; Zhengqi Gao; Duane S. Boning; Jiaqi Gu 002 (CoRR, 2024)

Automated Curvy Waveguide Routing for Large-Scale Photonic Integrated Circuits. - Hongjian Zhou; Keren Zhu 004; Jiaqi Gu 002 (CoRR, 2024)

The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks. - Haotian Lu 002; Ziang Yin; Partho Bhoumik; Sanmitra Banerjee; Krishnendu Chakrabarty; Jiaqi Gu 002 (CoRR, 2024)

Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network. - Ziang Yin; Yu Yao; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2024)

SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. - Ziang Yin; Meng Zhang 023; Amir Begovic; Zhaoran Rena Huang; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2024)

ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores. - Ziyang Jiang; Pingchuan Ma 012; Meng Zhang 023; Z. Rena Huang; Jiaqi Gu 002 (ASP-DAC, 2025)

The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial Defenders. - Haotian Lu 002; Ziang Yin; Partho Bhoumik; Sanmitra Banerjee; Krishnendu Chakrabarty; Jiaqi Gu 002 (ASP-DAC, 2025)

BOSON-1: Understanding and Enabling Physically-Robust Photonic Inverse Design with Adaptive Variation-Aware Subspace Optimization. - Pingchuan Ma 012; Zhengqi Gao; Amir Begovic; Meng Zhang 023; Haoyu Yang; Haoxing Ren; Z. Rena Huang; Duane S. Boning; Jiaqi Gu 002 (DATE, 2025)

MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure. - Pingchuan Ma 012; Zhengqi Gao; Meng Zhang 023; Haoyu Yang; Mark Ren; Z. Rena Huang; Duane S. Boning; Jiaqi Gu 002 (DATE, 2025)

qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. - Junyao Zhang; Guanglei Zhou; Feng Cheng; Jonathan Ku; Qi Ding; Jiaqi Gu 002; Hanrui Wang 002; Hai Helen Li; Yiran Chen 001 (DATE, 2025)

QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. - Junyao Zhang; Hanrui Wang 002; Qi Ding; Jiaqi Gu 002; Reouven Assouly; William D. Oliver; Song Han 003; Kenneth R. Brown; Hai Li 001; Yiran Chen 001 (ISCA, 2025)

LiDAR: Automated Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits. - Hongjian Zhou; Keren Zhu 004; Jiaqi Gu 002 (ISPD, 2025)

ChipMnd: LLMs for Agile Chip Design. - Farshad Firouzi; David Z. Pan; Jiaqi Gu 002; Bahar J. Farahani; Jayeeta Chaudhuri; Ziang Yin; Pingchuan Ma 012; Peter Domanski; Krishnendu Chakrabarty (VTS, 2025)

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)

H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. - Ziang Yin; Aashish Poonia; Ashish Reddy Bommana; Xinyu Zhao; Zahra Hojati; Tianlong Chen 001; Krishnendu Chakrabarty; Farshad Firouzi; Jeff Zhang 001; Jiaqi Gu 002 (CoRR, 2025)

Automated Routing-Informed Placement for Large-Scale Photonic Integrated Circuits. - Hongjian Zhou; Haoyu Yang; Nicholas Gangi; Haoxing Ren; Z. Rena Huang; Jiaqi Gu 002 (CoRR, 2025)

LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits. - Hongjian Zhou; Haoyu Yang; Ziang Yin; Nicholas Gangi; Zhaoran Huang; Haoxing Ren; Joaquin Matres; Jiaqi Gu 002 (CoRR, 2025)

SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training. - Pingchuan Ma 012; Ziang Yin; Qi Jing; Zhengqi Gao; Nicholas Gangi; Boyang Zhang; Tsung-Wei Huang; Zhaoran Rena Huang; Duane S. Boning; Yu Yao; Jiaqi Gu 002 (CoRR, 2025)

SparseC-AFM: a deep learning method for fast and accurate characterization of MoS2 with C-AFM. - Levi Harris; Md Jayed Hossain; Mufan Qiu; Ruichen Zhang; Pingchuan Ma 012; Tianlong Chen 001; Jiaqi Gu 002; Seth Ariel Tongay; Umberto Celano (CoRR, 2025)

Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation. - Hongjian Zhou; Pingchuan Ma 012; Jiaqi Gu 002 (CoRR, 2025)