Jiaqi Gu - RankMe

111 papers A* 19A 14C 1Misc 2Journal 65Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Democratizing Electronic-Photonic AI Systems: An Open-Source AI-Infused Cross-Layer Co-Design and Design Automation Toolflow. CoRR Hongjian Zhou, Ziang Yin, Jiaqi Gu
2026	—	`conf`	LiDAR 3.0: Photonics-Aware Planning-Guided Automated Electrical Routing for Large-Scale Active Photonic Integrated Circuits. ISPD Hongjian Zhou, Haoyu Yang, Nicholas Gangi, Bowen Liu, Meng Zhang, Haoxing Ren, Xu Wang, Rena Huang, Jiaqi Gu
2026	J	`jnl`	PRISM: Photonics-Informed Inverse Lithography for Manufacturable Inverse-Designed Photonic Integrated Circuits. CoRR Hongjian Zhou, Haoyu Yang, Nicholas Gangi, Tianle Xu, Rena Huang, Jiaqi Gu
2026	J	`jnl`	ReDON: Recurrent Diffractive Optical Neural Processor with Reconfigurable Self-Modulated Nonlinearity. CoRR Ziang Yin, Qi Jing, Raktim Sarma, Zhaoran Rena Huang, Yu Yao, Jiaqi Gu
2026	J	`jnl`	SKYLIGHT: A Scalable Hundred-Channel 3D Photonic In-Memory Tensor Core Architecture for Real-time AI Inference. CoRR Meng Zhang, Ziang Yin, Nicholas Gangi, Alexander Chen, Brett Bamfo, Tianle Xu, Jiaqi Gu, Zhaoran Rena Huang
2026	J	`jnl`	SPIPE: Differentiable SPICE-Level Co-Simulation Program for Integrated Photonics and Electronics. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhengqi Gao, Jiaqi Gu, Luca Daniel, Ron Rohrer, Duane S. Boning
2026	J	`jnl`	Toward Large-Scale Photonics-Empowered AI Systems: From Physical Design Automation to System-Algorithm Co-Exploration. CoRR Ziang Yin, Hongjian Zhou, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
2025	J	`jnl`	A Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression. CoRR Shupeng Ning, Hanqing Zhu, Chenghao Feng, Jiaqi Gu, David Z. Pan, Ray T. Chen
2025	—	`conf`	ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores. ASP-DAC Ziyang Jiang, Pingchuan Ma, Meng Zhang, Z. Rena Huang, Jiaqi Gu
2025	A	`conf`	Apollo: Automated Routing-Informed Placement for Large-Scale Photonic Integrated Circuits. ICCAD Hongjian Zhou, Haoyu Yang, Nicholas Gangi, Zhaoran Rena Huang, Haoxing Ren, Jiaqi Gu
2025	J	`jnl`	Automated Routing-Informed Placement for Large-Scale Photonic Integrated Circuits. CoRR Hongjian Zhou, Haoyu Yang, Nicholas Gangi, Haoxing Ren, Z. Rena Huang, Jiaqi Gu
2025	A	`conf`	BOSON DATE Pingchuan Ma, Zhengqi Gao, Amir Begovic, Meng Zhang, Haoyu Yang, Haoxing Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025	A*	`conf`	CHORD: Composable Hybrid Optical Reconfigurable Diffractive Framework For Optical Neural Network. DAC Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu
2025	Misc	`conf`	ChipMnd: LLMs for Agile Chip Design. VTS Farshad Firouzi, David Z. Pan, Jiaqi Gu, Bahar J. Farahani, Jayeeta Chaudhuri, Ziang Yin, Pingchuan Ma, Peter Domanski, Krishnendu Chakrabarty
2025	J	`jnl`	H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures. CoRR Ziang Yin, Aashish Poonia, Ashish Reddy Bommana, Xinyu Zhao, Zahra Hojati, Tianlong Chen, Krishnendu Chakrabarty, Farshad Firouzi, Jeff Zhang, Jiaqi Gu
2025	J	`jnl`	LiDAR 2.0: Hierarchical Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits. CoRR Hongjian Zhou, Haoyu Yang, Ziang Yin, Nicholas Gangi, Zhaoran Huang, Haoxing Ren, Joaquin Matres, Jiaqi Gu
2025	—	`conf`	LiDAR: Automated Curvy Waveguide Detailed Routing for Large-Scale Photonic Integrated Circuits. ISPD Hongjian Zhou, Keren Zhu, Jiaqi Gu
2025	A	`conf`	MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure. DATE Pingchuan Ma, Zhengqi Gao, Meng Zhang, Haoyu Yang, Mark Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025	J	`jnl`	MAPS: Multi-Fidelity AI-Augmented Photonic Simulation and Inverse Design Infrastructure. CoRR Pingchuan Ma, Zhengqi Gao, Meng Zhang, Haoyu Yang, Mark Ren, Z. Rena Huang, Duane S. Boning, Jiaqi Gu
2025	J	`jnl`	Photonics-Aware Planning-Guided Automated Electrical Routing for Large-Scale Active Photonic Integrated Circuits. CoRR Hongjian Zhou, Haoyu Yang, Nicholas Gangi, Bowen Liu, Meng Zhang, Haoxing Ren, Xu Wang, Z. Rena Huang, Jiaqi Gu
2025	A*	`conf`	QPlacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. ISCA Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Li, Yiran Chen
2025	J	`jnl`	SP2RINT: Spatially-Decoupled Physics-Inspired Progressive Inverse Optimization for Scalable, PDE-Constrained Meta-Optical Neural Network Training. CoRR Pingchuan Ma, Ziang Yin, Qi Jing, Zhengqi Gao, Nicholas Gangi, Boyang Zhang, Tsung-Wei Huang, Zhaoran Rena Huang, Duane S. Boning, Yu Yao, Jiaqi Gu
2025	A*	`conf`	SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. DAC Ziang Yin, Meng Zhang, Nicholas Gangi, Z. Rena Huang, Jeff Jun Zhang, Jiaqi Gu
2025	J	`jnl`	SparseC-AFM: a deep learning method for fast and accurate characterization of MoS CoRR Levi Harris, Md Jayed Hossain, Mufan Qiu, Ruichen Zhang, Pingchuan Ma, Tianlong Chen, Jiaqi Gu, Seth Ariel Tongay, Umberto Celano
2025	—	`conf`	The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial Defenders. ASP-DAC Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu
2025	J	`jnl`	Toward Intelligent Electronic-Photonic Design Automation for Large-Scale Photonic Integrated Circuits: from Device Inverse Design to Physical Layout Generation. CoRR Hongjian Zhou, Pingchuan Ma, Jiaqi Gu
2025	C	`conf`	Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness. ICCD Ziang Yin, Hongjian Zhou, Chetan Choppali Sudarshan, Vidya A. Chhabria, Jiaqi Gu
2025	J	`jnl`	Toward Lifelong-Sustainable Electronic-Photonic AI Systems via Extreme Efficiency, Reconfigurability, and Robustness. CoRR Ziang Yin, Hongjian Zhou, Chetan Choppali Sudarshan, Vidya A. Chhabria, Jiaqi Gu
2025	A	`conf`	qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. DATE Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen
2024	J	`jnl`	ADEPT-Z: Zero-Shot Automated Circuit Topology Search for Pareto-Optimal Photonic Tensor Cores. CoRR Ziyang Jiang, Pingchuan Ma, Meng Zhang, Zhaoran Rena Huang, Jiaqi Gu
2024	A*	`conf`	Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays. ISCA Hanrui Wang, Pengyu Liu, Daniel Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han
2024	J	`jnl`	Automated Curvy Waveguide Routing for Large-Scale Photonic Integrated Circuits. CoRR Hongjian Zhou, Keren Zhu, Jiaqi Gu
2024	J	`jnl`	BOSON CoRR Pingchuan Ma, Zhengqi Gao, Amir Begovic, Meng Zhang, Haoyu Yang, Haoxing Ren, Zhaoran Rena Huang, Duane S. Boning, Jiaqi Gu
2024	J	`jnl`	DOCTOR: Dynamic On-Chip Remediation Against Temporally-Drifting Thermal Variations Toward Self-Corrected Photonic Tensor Accelerators. CoRR Haotian Lu, Sanmitra Banerjee, Jiaqi Gu
2024	A*	`conf`	Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
2024	J	`jnl`	Multi-Dimensional Reconfigurable, Physically Composable Hybrid Diffractive Optical Neural Network. CoRR Ziang Yin, Yu Yao, Jeff Zhang, Jiaqi Gu
2024	A*	`conf`	PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices. NeurIPS Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan
2024	J	`jnl`	PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices. CoRR Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan
2024	J	`jnl`	PIC2O-Sim: A Physics-Inspired Causality-Aware Dynamic Convolutional Neural Operator for Ultra-Fast Photonic Device FDTD Simulation. CoRR Pingchuan Ma, Haoyu Yang, Zhengqi Gao, Duane S. Boning, Jiaqi Gu
2024	J	`jnl`	Photonic-Electronic Integrated Circuits for High-Performance Computing and AI Accelerator. CoRR 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
2024	A*	`conf`	Q-Pilot: Field Programmable Qubit Array Compilation with Flying Ancillas. DAC Hanrui Wang, Daniel Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
2024	J	`jnl`	Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen
2024	J	`jnl`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. CoRR Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2024	A	`conf`	SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. ICCAD Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Z. Rena Huang, Jiaqi Gu
2024	J	`jnl`	SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. CoRR Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Zhaoran Rena Huang, Jiaqi Gu
2024	J	`jnl`	SimPhony: A Device-Circuit-Architecture Cross-Layer Modeling and Simulation Framework for Heterogeneous Electronic-Photonic AI System. CoRR Ziang Yin, Meng Zhang, Amir Begovic, Zhaoran Rena Huang, Jeff Zhang, Jiaqi Gu
2024	J	`jnl`	TeMPO: Efficient Time-Multiplexed Dynamic Photonic Tensor Core for Edge AI with Compact Slow-Light Electro-Optic Modulator. CoRR Meng Zhang, Dennis Yin, Nicholas Gangi, Amir Begovic, Alexander Chen, Zhaoran Rena Huang, Jiaqi Gu
2024	J	`jnl`	The Unlikely Hero: Nonideality in Analog Photonic Neural Networks as Built-in Defender Against Adversarial Attacks. CoRR Haotian Lu, Ziang Yin, Partho Bhoumik, Sanmitra Banerjee, Krishnendu Chakrabarty, Jiaqi Gu
2024	J	`jnl`	qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. CoRR Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen
2023	J	`jnl`	DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting. CoRR Hanrui Wang, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jonathan M. Baker, Frederic T. Chong, Song Han
2023	J	`jnl`	DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan
2023	—	`conf`	Delving into Effective Gradient Matching for Dataset Condensation. COINS Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan
2023	J	`jnl`	ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2023	J	`jnl`	FPQA-C: A Compilation Framework for Field Programmable Qubit Array. CoRR Hanrui Wang, Pengyu Liu, Bochen Tan, Yilian Liu, Jiaqi Gu, David Z. Pan, Jason Cong, Umut A. Acar, Song Han
2023	J	`jnl`	Integrated multi-operand optical neurons for scalable and hardware-efficient deep learning. CoRR Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Rongxing Tang, Shupeng Ning, May Hlaing, Jason Midkiff, Sourabh Jain, David Z. Pan, Ray T. Chen
2023	J	`jnl`	M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2023	—	`conf`	NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS Zixuan Jiang, Jiaqi Gu, David Z. Pan
2023	A*	`conf`	Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
2023	J	`jnl`	Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan
2023	J	`jnl`	Q-Pilot: Field Programmable Quantum Array Compilation with Flying Ancillas. CoRR Hanrui Wang, Bochen Tan, Pengyu Liu, Yilian Liu, Jiaqi Gu, Jason Cong, Song Han
2023	Misc	`conf`	QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits. QCE Tianlong Chen, Zhenyu Zhang, Hanrui Wang, Jiaqi Gu, Zirui Li, David Z. Pan, Frederic T. Chong, Song Han, Zhangyang Wang
2023	J	`jnl`	RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. CoRR 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
2023	J	`jnl`	SqueezeLight: A Multi-Operand Ring-Based Optical Neural Network With Cross-Layer Scalability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan
2023	J	`jnl`	Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers. CoRR Hanrui Wang, Pengyu Liu, Kevin Shao, Dantong Li, Jiaqi Gu, David Z. Pan, Yongshan Ding, Song Han
2022	A*	`conf`	A timing engine inspired graph neural network model for pre-routing slack prediction. DAC Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin
2022	A*	`conf`	ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan
2022	J	`jnl`	Delving into Effective Gradient Matching for Dataset Condensation. CoRR Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan
2022	—	`conf`	ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2022	A	`conf`	Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. ICCAD Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan
2022	J	`jnl`	Fuse and Mix: MACAM-Enabled Analog Activation for Energy-Efficient Neural Acceleration. CoRR Hanqing Zhu, Keren Zhu, Jiaqi Gu, Harrison Jin, Ray T. Chen, Jean Anne C. Incorvia, David Z. Pan
2022	J	`jnl`	HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression. CoRR Jiaqi Gu, Ben Keller, Jean Kossaifi, Anima Anandkumar, Brucek Khailany, David Z. Pan
2022	J	`jnl`	Light in AI: Toward Efficient Neurocomputing With Optical Neural Networks - A Tutorial. IEEE Trans. Circuits Syst. II Express Briefs Jiaqi Gu, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan
2022	A*	`conf`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2022	A*	`conf`	NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. NeurIPS Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022	J	`jnl`	NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation. CoRR Jiaqi Gu, Zhengqi Gao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, Duane S. Boning, David Z. Pan
2022	J	`jnl`	On-chip QNN: Towards Efficient On-Chip Training of Quantum Neural Networks. CoRR Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
2022	A*	`conf`	QOC: quantum on-chip training with parameter shift and gradient pruning. DAC Hanrui Wang, Zirui Li, Jiaqi Gu, Yongshan Ding, David Z. Pan, Song Han
2022	J	`jnl`	QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. CoRR 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
2022	A*	`conf`	QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
2022	A*	`conf`	QuantumNAT: quantum noise-aware training with noise injection, quantization and normalization. DAC Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
2022	—	`conf`	RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. MLCAD Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun
2022	J	`jnl`	RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. CoRR Wei Shi, Hanrui Wang, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han, Nan Sun
2022	A	`conf`	TorchQuantum Case Study for Robust Quantum Circuits. ICCAD Hanrui Wang, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, David Z. Pan, Frederic T. Chong, Song Han
2021	J	`jnl`	A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR Zixuan Jiang, Jiaqi Gu, David Z. Pan
2021	J	`jnl`	ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan
2021	J	`jnl`	ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	A*	`conf`	Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. AAAI Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan
2021	A*	`conf`	L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	A	`conf`	Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 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
2021	J	`jnl`	Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2021	A	`conf`	O2NN: Optical Neural Networks with Differential Detection-Enabled Optical Operands. DATE Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Ray T. Chen, David Z. Pan
2021	J	`jnl`	Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan
2021	J	`jnl`	QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
2021	J	`jnl`	RoQNN: Noise-Aware Training for Robust Quantum Neural Networks. CoRR Hanrui Wang, Jiaqi Gu, Yongshan Ding, Zirui Li, Frederic T. Chong, David Z. Pan, Song Han
2021	J	`jnl`	Silicon photonic subspace neural chip for hardware-efficient deep learning. CoRR Chenghao Feng, Jiaqi Gu, Hanqing Zhu, Zhoufeng Ying, Zheng Zhao, David Z. Pan, Ray T. Chen
2021	A	`conf`	SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. DATE Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan
2021	J	`jnl`	Toward Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiaqi Gu, Zheng Zhao, Chenghao Feng, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan
2021	A*	`conf`	Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2021	J	`jnl`	Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan
2020	J	`jnl`	ABCDPlace: Accelerated Batch-Based Concurrent Detailed Placement on Multithreaded CPUs and GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yibo Lin, Wuxi Li, Jiaqi Gu, Haoxing Ren, Brucek Khailany, David Z. Pan
2020	—	`conf`	An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan
2020	A	`conf`	DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan
2020	J	`jnl`	Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. CoRR Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan
2020	A*	`conf`	FLOPS: EFficient On-Chip Learning for OPtical Neural Networks Through Stochastic Zeroth-Order Optimization. DAC Jiaqi Gu, Zheng Zhao, Chenghao Feng, Wuxi Li, Ray T. Chen, David Z. Pan
2020	J	`jnl`	Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR 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 Jr., 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
2020	A	`conf`	ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. DATE Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, David Z. Pan
2020	—	`conf`	Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture. ASP-DAC Jiaqi Gu, Zheng Zhao, Chenghao Feng, Mingjie Liu, Ray T. Chen, David Z. Pan
2020	A	`conf`	Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning. DATE Mingjie Liu, Keren Zhu, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan
2019	A	`conf`	Design Technology for Scalable and Robust Photonic Integrated Circuits: Invited Paper. ICCAD Zheng Zhao, Jiaqi Gu, Zhoufeng Ying, Chenghao Feng, Ray T. Chen, David Z. Pan