SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. - Cheng Fu 002; Shilin Zhu; Huili Chen; Farinaz Koushanfar; Hao Su 001; Jishen Zhao (FCCM, 2019)

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. - Cheng Fu 002; Shilin Zhu; Hao Su 001; Ching-En Lee; Jishen Zhao (FPGA, 2019)

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCAD, 2019)

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (IJCAI, 2019)

DeepAttest: an end-to-end attestation framework for deep neural networks. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (ISCA, 2019)

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models. - Huili Chen; Bita Darvish Rouhani; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICMR, 2019)

Coda: An End-to-End Neural Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (NeurIPS, 2019)

A Neural-based Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (CoRR, 2019)

Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. - Cheng Fu 002; Huili Chen; Zhenheng Yang; Farinaz Koushanfar; Yuandong Tian; Jishen Zhao (IEEE Micro, 2020)

ProFlip: Targeted Trojan Attack with Progressive Bit Flips. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCV, 2021)

Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. - Cheng Fu 002; Hanxian Huang; Xinyun Chen; Yuandong Tian; Jishen Zhao (ICML, 2021)

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. - Cheng Fu 002; Hanxian Huang; Bram Wasti; Chris Cummins; Riyadh Baghdadi; Kim M. Hazelwood; Yuandong Tian; Jishen Zhao; Hugh Leather (PACT, 2022)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

GALU: A Genetic Algorithm Framework for Logic Unlocking. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (DTRAP, 2023)

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (IEEE Des. Test, 2024)