Zixuan Jiang
Orcid: 0000-0001-6180-6487
According to our database1,
Zixuan Jiang
authored at least 26 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024
2023
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator.
CoRR, 2023
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference.
CoRR, 2023
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers.
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2023
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.
CoRR, 2022
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation.
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
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.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper).
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022
2021
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms.
CoRR, 2021
CoRR, 2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 3rd ACM/IEEE Workshop on Machine Learning for CAD, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021
2020
DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the International Conference on Computer-Aided Design, 2019