Zixuan Jiang

According to our database, Zixuan Jiang authored at least 28 papers between 2019 and 2024.

Collaborative distances:

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

2024

Multi-Floor Zero-Shot Object Navigation Policy.

Lingfeng Zhang, Hao Wang, Erjia Xiao, Xinyao Zhang, Qiang Zhang, Zixuan Jiang, Renjing Xu

CoRR, 2024

TriHelper: Zero-Shot Object Navigation with Dynamic Assistance.

Lingfeng Zhang, Qiang Zhang, Hao Wang, Erjia Xiao, Zixuan Jiang, Honglei Chen, Renjing Xu

CoRR, 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

ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning.

Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, David Z. Pan

Proceedings of the 29th Asia and South Pacific 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

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

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

DREAMPlaceFPGA-PL: An Open-Source GPU-Accelerated Packer-Legalizer for Heterogeneous FPGAs.

Rachel Selina Rajarathnam, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan

Proceedings of the 2023 International Symposium on Physical Design, 2023

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching.

Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks.

Mengting Lan, Xiaogang Xiong, Zixuan Jiang, Yunjiang Lou

CoRR, 2022

A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation.

Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan

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

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

DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit.

Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper).

Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, 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

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

Delving into Macro Placement with Reinforcement Learning.

Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan

Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 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

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

2019

Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning.

ChengYue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan

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