Jiaqi Gu

According to our database, Jiaqi Gu authored at least 56 papers between 2019 and 2024.

Collaborative distances:

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

2024

ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores.

Ziyang Jiang, Pingchuan Ma, Meng Zhang, Zhaoran Rena Huang, Jiaqi Gu

CoRR, 2024

PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation.

Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu

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

Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers.

Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen

CoRR, 2024

Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays.

Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 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

Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas.

Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

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

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting.

Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han

CoRR, 2023

Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas.

Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han

CoRR, 2023

Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers.

Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han

CoRR, 2023

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training.

Hanrui Wang, Yilian Liu, Pengyu Liu, Jiaqi Gu, Zirui Li, Zhiding Liang, Jinglei Cheng, Yongshan Ding, Xuehai Qian, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han

CoRR, 2023

FPQA-C: A Compilation Framework for Field Programmable Qubit Array.

Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han

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

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits.

Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 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

NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training.

Zixuan Jiang, Jiaqi Gu, David Z. Pan

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023

Delving into Effective Gradient Matching for Dataset Condensation.

Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan

Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 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

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression.

Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan

CoRR, 2022

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation.

Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han

CoRR, 2022

On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks.

Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han

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

RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL.

Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 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

TorchQuantum Case Study for Robust Quantum Circuits.

Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han

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

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits.

Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

A timing engine inspired graph neural network model for pre-routing slack prediction.

Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin

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

QOC: quantum on-chip training with parameter shift and gradient pruning.

Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han

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

QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization.

Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han

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

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation.

Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement.

Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability.

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

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

RoQNN: Noise-Aware Training for Robust Quantum Neural Networks.

Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han

CoRR, 2021

A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms.

Zixuan Jiang, Jiaqi Gu, David Z. Pan

CoRR, 2021

Optimizer Fusion: Efficient Training with Better Locality and Parallelism.

Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan

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

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, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. Abreu, Isac de Souza Campos, Augusto Andre Souza Berndt, Cristina Meinhardt, Jônata Tyska Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit Onur Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs.

Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing Ren, Brucek Khailany, David Z. Pan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints.

Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

An Efficient Training Framework for Reversible Neural Architectures.

Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan

Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning.

Mingjie Liu, Keren Zhu, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan

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

FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization.

Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture.

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

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Design Technology for Scalable and Robust Photonic Integrated Circuits: Invited Paper.

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

Proceedings of the International Conference on Computer-Aided Design, 2019