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Yonggan Fu

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
2023 · Yonggan Fu, Yongan Zhang, et al. · 114
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Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
2020 · Haoran You, Chaojian Li, et al. · arXiv (Cornell University) · 80
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
2021 · Li, Chaojian, Yu, Zhongzhi, et al. · arXiv (Cornell University) · 69
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AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
2020 · Fu, Yonggan, Chen, Wuyang, et al. · arXiv (Cornell University) · 66
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Drawing Early-Bird Tickets: Towards More Efficient Training of Deep Networks
2019 · You, Haoran, Li, Chaojian, et al. · arXiv (Cornell University) · 54
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MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
2024 · Yongan Zhang, Zhongzhi Yu, et al. · IEEE LLM Aided Design Workshop (LAD) · 53
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Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
2020 · Jianghao Shen, Yue Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 50
SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation
2020 · Yang Zhao, Xiaohan Chen, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 44
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Towards Cognitive AI Systems: Workload and Characterization of Neuro-Symbolic AI
2024 · Zishen Wan, Che-Kai Liu, et al. · IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) · 39
Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
2023 · Yonggan Fu, Zhifan Ye, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 34
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Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
2022 · Fu, Yonggan, Zhang, Shunyao, et al. · arXiv (Cornell University) · 29
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FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
2020 · Fu, Yonggan, You, Haoran, et al. · arXiv (Cornell University) · 28
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CPT: Efficient Deep Neural Network Training via Cyclic Precision
2021 · Fu, Yonggan, Guo, Han, et al. · arXiv (Cornell University) · 25
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Early-Bird GCNs: Graph-Network Co-optimization towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
2022 · Haoran You, Zhihan Lu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 22
G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency
2021 · Yongan Zhang, Haoran You, et al. · International Conference on Computer Aided Design · 22
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Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture
2024 · Zishen Wan, Che-Kai Liu, et al. · IEEE transactions on circuits and systems for artificial intelligence. · 21
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Small Language Models are the Future of Agentic AI
2025 · Belcak, Peter, Heinrich, Greg, et al. · arXiv (Cornell University) · 18
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Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR
2025 · Zhifan Ye, Yonggan Fu, et al. · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · 18
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DNA: Differentiable Network-Accelerator Co-Search
2020 · Zhang, Yongan, Fu, Yonggan, et al. · arXiv (Cornell University) · 17
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MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
2022 · Zhongzhi Yu, Yonggan Fu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 16
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
2021 · Yonggan Fu, Qixuan Yu, et al. · International Conference on Machine Learning · 13
DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency
2021 · Yongan Zhang, Yonggan Fu, et al. · International Symposium on Low Power Electronics and Design (ISLPED) · 12
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators
2021 · Fu, Yonggan, Zhang, Yongan, et al. · arXiv (Cornell University) · 12
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Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
2021 · Fu, Yonggan, Yu, Qixuan, et al. · arXiv (Cornell University) · 11
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EyeCoD: Eye Tracking System Acceleration via FlatCam-Based Algorithm and Hardware Co-Design
2023 · Haoran You, Yang Zhao, et al. · IEEE Micro · 10
Works count: 89
Citation count: 1,006
H-index: 18
I10-index: 28
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