Cheng Fu

According to our database, Cheng Fu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design.

Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar

IEEE Des. Test, 2024

2023

GALU: A Genetic Algorithm Framework for Logic Unlocking.

Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

DTRAP, 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

2022

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition.

Cheng Fu, Hanxian Huang, Bram Wasti, Chris Cummins, Riyadh Baghdadi, Kim M. Hazelwood, Yuandong Tian, Jishen Zhao, Hugh Leather

Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021

Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing.

Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

ProFlip: Targeted Trojan Attack with Progressive Bit Flips.

Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Enhancing Model Parallelism in Neural Architecture Search for Multidevice System.

Cheng Fu, Huili Chen, Zhenheng Yang, Farinaz Koushanfar, Yuandong Tian, Jishen Zhao

IEEE Micro, 2020

2019

A Neural-based Program Decompiler.

Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao

CoRR, 2019

Coda: An End-to-End Neural Program Decompiler.

Cheng Fu, Huili Chen, Haolan Liu, Xinyun Chen, Yuandong Tian, Farinaz Koushanfar, Jishen Zhao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models.

Huili Chen, Bita Darvish Rouhani, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

DeepAttest: an end-to-end attestation framework for deep neural networks.

Huili Chen, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, Farinaz Koushanfar

Proceedings of the 46th International Symposium on Computer Architecture, 2019

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks.

Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption.

Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar

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

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA.

Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework.

Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar, Hao Su, Jishen Zhao

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019