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2020 – today
- 2024
[c19]Hyunsu Chae, Keren Zhu, Bhyrav Mutnury, Zixuan Jiang, Daniel De Araujo, Douglas Wallace, Douglas Winterberg, Adam R. Klivans, David Z. Pan:
ISOP-Yield: Yield-Aware Stack-Up Optimization for Advanced Package using Machine Learning. ASPDAC 2024: 644-650- [c18]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxing Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
Lightening-Transformer: A Dynamically-Operated Optically-Interconnected Photonic Transformer Accelerator. HPCA 2024: 686-703 - [i15]Lingfeng Zhang, Qiang Zhang, Hao Wang, Erjia Xiao, Zixuan Jiang
, Honglei Chen, Renjing Xu:
TriHelper: Zero-Shot Object Navigation with Dynamic Assistance. CoRR abs/2403.15223 (2024) - [i14]Lingfeng Zhang, Hao Wang, Erjia Xiao, Xinyao Zhang, Qiang Zhang, Zixuan Jiang, Renjing Xu:
Multi-Floor Zero-Shot Object Navigation Policy. CoRR abs/2409.10906 (2024) - 2023
- [j2]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Toward Efficient and Aging-Resilient Photonic In-Memory Neurocomputing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(3): 820-833 (2023) - [c17]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. COINS 2023: 1-6 - [c16]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
NormSoftmax: Normalizing the Input of Softmax to Accelerate and Stabilize Training. COINS 2023: 1-6 - [c15]Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao:
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV 2023: 17107-17117 - [c14]Rachel Selina Rajarathnam, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan:
DREAMPlaceFPGA-PL: An Open-Source GPU-Accelerated Packer-Legalizer for Heterogeneous FPGAs. ISPD 2023: 175-184 - [c13]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. NeurIPS 2023 - [i13]Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Z. Pan:
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers. CoRR abs/2305.14858 (2023) - [i12]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
M3ICRO: Machine Learning-Enabled Compact Photonic Tensor Core based on PRogrammable Multi-Operand Multimode Interference. CoRR abs/2305.19505 (2023) - [i11]Hanqing Zhu, Jiaqi Gu, Hanrui Wang, Zixuan Jiang, Zhekai Zhang, Rongxin Tang, Chenghao Feng, Song Han, Ray T. Chen, David Z. Pan:
DOTA: A Dynamically-Operated Photonic Tensor Core for Energy-Efficient Transformer Accelerator. CoRR abs/2305.19533 (2023) - 2022
- [c12]Rachel Selina Rajarathnam, Mohamed Baker Alawieh, Zixuan Jiang, Mahesh A. Iyer, David Z. Pan:
DREAMPlaceFPGA: An Open-Source Analytical Placer for Large Scale Heterogeneous FPGAs using Deep-Learning Toolkit. ASP-DAC 2022: 300-306 - [c11]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. ASP-DAC 2022: 332-338 - [c10]Ahmet Faruk Budak, Zixuan Jiang, Keren Zhu, Azalia Mirhoseini, Anna Goldie, David Z. Pan:
Reinforcement Learning for Electronic Design Automation: Case Studies and Perspectives: (Invited Paper). ASP-DAC 2022: 500-505 - [c9]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: automatic differentiable DEsign of photonic tensor cores. DAC 2022: 937-942 - [c8]Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan:
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. MLCAD 2022: 135-141 - [i10]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, David Z. Pan:
Delving into Effective Gradient Matching for Dataset Condensation. CoRR abs/2208.00311 (2022) - [i9]Mengting Lan, Xiaogang Xiong, Zixuan Jiang, Yunjiang Lou:
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks. CoRR abs/2211.15386 (2022) - 2021
- [j1]Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany, David Z. Pan:
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(4): 748-761 (2021) - [c7]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:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. DATE 2021: 1026-1031 - [c6]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. ICCV 2021: 5209-5218 - [c5]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. MLCAD 2021: 1-3 - [c4]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. NeurIPS 2021: 8649-8661 - [i8]Zixuan Jiang, Jiaqi Gu, Mingjie Liu, Keren Zhu, David Z. Pan:
Optimizer Fusion: Efficient Training with Better Locality and Parallelism. CoRR abs/2104.00237 (2021) - [i7]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. CoRR abs/2108.11430 (2021) - [i6]Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan:
Delving into Macro Placement with Reinforcement Learning. CoRR abs/2109.02587 (2021) - [i5]Zixuan Jiang, Jiaqi Gu, David Z. Pan:
A New Acceleration Paradigm for Discrete CosineTransform and Other Fourier-Related Transforms. CoRR abs/2110.01172 (2021) - [i4]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray T. Chen, David Z. Pan:
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization. CoRR abs/2110.14807 (2021) - [i3]Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan:
ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. CoRR abs/2112.08512 (2021) - [i2]Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan:
ADEPT: Automatic Differentiable DEsign of Photonic Tensor Cores. CoRR abs/2112.08703 (2021) - 2020
- [c3]Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan:
An Efficient Training Framework for Reversible Neural Architectures. ECCV (27) 2020: 275-289 - [c2]Jiaqi Gu, Zixuan Jiang, Yibo Lin, David Z. Pan:
DREAMPlace 3.0: Multi-Electrostatics Based Robust VLSI Placement with Region Constraints. ICCAD 2020: 143:1-143:9 - [i1]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:
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization. CoRR abs/2012.02530 (2020)
2010 – 2019
- 2019
- [c1]ChengYue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan:
Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. ICCAD 2019: 1-7
Coauthor Index
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