Wangxin He

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

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Feedforward Artificial Neural Networks

Top Venues

Publications

Fan Zhang, Amitesh Sridharan, Wangxin He, Injune Yeo, Maximilian Liehr, Wei Zhang, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan
A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. IEEE J. Solid State Circuits 59 (7) (2024)
Wangxin He, Jian Meng, Sujan Kumar Gonugondla, Shimeng Yu, Naresh R. Shanbhag, Jae-sun Seo
PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration. DATE (2023)
Fan Zhang, Wangxin He, Injune Yeo, Maximilian Liehr, Nathaniel C. Cady, Yu Cao, Jae-Sun Seo, Deliang Fan
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. ESSCIRC (2023)
Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
Hybrid In-memory Computing Architecture for the Training of Deep Neural Networks. CoRR (2021)
Vinay Joshi, Wangxin He, Jae-sun Seo, Bipin Rajendran
Hybrid In-Memory Computing Architecture for the Training of Deep Neural Networks. ISCAS (2021)
Wangxin He, Wonbo Shim, Shihui Yin, Xiaoyu Sun, Deliang Fan, Shimeng Yu, Jae-sun Seo
Characterization and Mitigation of Relaxation Effects on Multi-level RRAM based In-Memory Computing. IRPS (2021)
Shihui Yin, Jae-sun Seo, Yulhwa Kim, Xu Han, Hugh J. Barnaby, Shimeng Yu, Yandong Luo, Wangxin He, Xiaoyu Sun, Jae-Joon Kim
Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning. IEEE Micro 39 (6) (2019)