Yi Cai

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 22

Top Topics

Kernel Estimation

Ensemble Learning

Top Venues

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

Publications

Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. AAAI (2023)
Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI (2023)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS. CoRR (2022)
Jiangwei Zhang, Chong Wang, Yi Cai, Zhenhua Zhu, Donald Kline, Huazhong Yang, Yu Wang
WESCO: Weight-encoded Reliability and Security Co-design for In-memory Computing Systems. ISVLSI (2022)
Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. ECCV (20) (2022)
Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing with Ferroelectric FETs. CoRR (2021)
Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness. CoRR (2021)
Shulin Zeng, Guohao Dai, Hanbo Sun, Jun Liu, Hongren Zheng, Yusong Wu, Fan Zhang, Xinhao Yang, Yi Cai, Yu Wang, Huazhong Yang
3M-AI: A Multi-task and Multi-core Virtualization Framework for Multi-FPGA AI Systems in the Cloud. FPGA (2021)
Kaizhong Qiu, Zhenhua Zhu, Yi Cai, Hanbo Sun, Yu Wang, Huanzhong Yang
MNSIM-TIME: Performance Modeling Framework for Training-In-Memory Architectures. AICAS (2021)
Guodong Yin, Yi Cai, Juejian Wu, Zhengyang Duan, Zhenhua Zhu, Yongpan Liu, Yu Wang, Huazhong Yang, Xueqing Li
Enabling Lower-Power Charge-Domain Nonvolatile In-Memory Computing With Ferroelectric FETs. IEEE Trans. Circuits Syst. II Express Briefs 68 (7) (2021)
Hanbo Sun, Zhenhua Zhu, Yi Cai, Shulin Zeng, Kaizhong Qiu, Yu Wang, Huazhong Yang
Reliability-Aware Training and Performance Modeling for Processing-In-Memory Systems. ASP-DAC (2021)
Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang
An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. ASP-DAC (2020)
Yi Cai, Tianqi Tang, Lixue Xia, Boxun Li, Yu Wang, Huazhong Yang
Low Bit-Width Convolutional Neural Network on RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (7) (2020)
Minhui Zou, Zhenhua Zhu, Yi Cai, Junlong Zhou, Chengliang Wang, Yu Wang
Security Enhancement for RRAM Computing System through Obfuscating Crossbar Row Connections. DATE (2020)
Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang
Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption. IEEE Trans. Computers 69 (11) (2020)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang
Enabling Secure in-Memory Neural Network Computing by Sparse Fast Gradient Encryption. ICCAD (2019)
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
TIME: A Training-in-Memory Architecture for RRAM-Based Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (5) (2019)
Yi Cai, Tianqi Tang, Lixue Xia, Ming Cheng, Zhenhua Zhu, Yu Wang, Huazhong Yang
Training low bitwidth convolutional neural network on RRAM. ASP-DAC (2018)
Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang
Rescuing memristor-based computing with non-linear resistance levels. DATE (2018)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC (2018)
Ming Cheng, Lixue Xia, Zhenhua Zhu, Yi Cai, Yuan Xie, Yu Wang, Huazhong Yang
TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. DAC (2017)