Yonggan Fu

发表

FICIENT TRAINING OF DEEP NETWORKS

Yue Wang, Yonggan Fu, Richard G. Baraniuk, 2020 .

Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing

Yingyan Lin, Kaizhi Qian, Cheng-I Lai, 2022, NeurIPS.

RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms pdf

Joseph R. Cavallaro, Behnaam Aazhang, Allison Post, 2021, ACM J. Emerg. Technol. Comput. Syst..

DIAN: Differentiable Accelerator-Network Co-Search Towards Maximal DNN Efficiency

Chaojian Li, Vikas Chandra, Haoran You, 2021, 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators pdf

Yingyan Lin, Yonggan Fu, Yongan Zhang, 2021, ICML.

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning

Chaojian Li, Yingyan Lin, Zhongzhi Yu, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark pdf

Chaojian Li, Yingyan Lin, Haoran You, 2021, ICLR.

Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference

Yingyan Lin, Meng Li, Yonggan Fu, 2021, ICML.

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks

Yingyan Lin, Xu Ouyang, David Cox, 2021, NeurIPS.

G-CoS: GNN-Accelerator Co-Search Towards Both Better Accuracy and Efficiency

Haoran You, Tong Geng, Yingyan Lin, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators

Yingyan Lin, David Cox, Yongan Zhang, 2021, ICML.

2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency

Chaojian Li, Yingyan Lin, Yonggan Fu, 2021, MICRO.

e-G2C: A 0.14-to-8.31 µJ/Inference NN-based Processor with Continuous On-chip Adaptation for Anomaly Detection and ECG Conversion from EGM

Joseph R. Cavallaro, B. Aazhang, Yingyan Lin, 2022, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).

InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

Chaojian Li, Yingyan Lin, Zhangyang Wang, 2021, 2021 58th ACM/IEEE Design Automation Conference (DAC).

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models

Ying Lin, Chaojian Li, Zhongzhi Yu, 2023, 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD).