Yi Cai

According to our database, Yi Cai authored at least 21 papers between 2017 and 2023.

Collaborative distances:

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

2023

Klotski: DNN Model Orchestration Framework for Dataflow Architecture Accelerators.

Chen Bai, Xuechao Wei, Youwei Zhuo, Yi Cai, Hongzhong Zheng, Bei Yu, Yuan Xie

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Memory-Oriented Structural Pruning for Efficient Image Restoration.

Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness.

Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

WESCO: Weight-encoded Reliability and Security Co-design for In-memory Computing Systems.

Jiangwei Zhang, Chong Wang, Yi Cai, Zhenhua Zhu, Donald Kline, Huazhong Yang, Yu Wang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS.

Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing With Ferroelectric FETs.

Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness.

Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang

CoRR, 2021

3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud.

Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems.

Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures.

Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Low Bit-Width Convolutional Neural Network on RRAM.

Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption.

Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang

IEEE Trans. Computers, 2020

Security Enhancement for RRAM Computing System through Obfuscating Crossbar Row Connections.

Minhui Zou, Zhenhua Zhu, Yi Cai, Junlong Zhou, Chengliang Wang, Yu Wang

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators.

Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks.

Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Enabling Secure in-Memory Neural Network Computing by Sparse Fast Gradient Encryption.

Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang

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

2018

Rescuing memristor-based computing with non-linear resistance levels.

Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 55th Annual Design Automation Conference, 2018

Training low bitwidth convolutional neural network on RRAM.

Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

2017

TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks.

Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang

Proceedings of the 54th Annual Design Automation Conference, 2017