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Journal Articles
- 2023
[j4]Liu Liu
, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. IEEE Trans. Circuits Syst. I Regul. Pap. 70(6): 2356-2369 (2023)- 2022
- [j3]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Xunzhao Yin, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu:
FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. IEEE Trans. Computers 71(10): 2565-2576 (2022) - 2020
- [j2]Xiaoming Chen, Kai Ni, Michael T. Niemier, Dayane Reis, Xiaoyu Sun, Panni Wang, Suman Datta, Xiaobo Sharon Hu, Xunzhao Yin, Matthew Jerry, Shimeng Yu, Ann Franchesca Laguna:
The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. IEEE Des. Test 37(1): 79-99 (2020) - 2014
- [j1]Federico Ang, Rowena Cristina L. Guevara, Yoshikazu Miyanaga, Rhandley Domingo Cajote, Joel P. Ilao, Michael Gringo Angelo Bayona, Ann Franchesca Laguna:
Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments. IEICE Trans. Inf. Syst. 97-D(9): 2443-2452 (2014)
Conference and Workshop Papers
- 2024
- [c20]Mark Edward M. Gonzales, Hans Oswald A. Ibrahim, Elyssia Barrie H. Ong, Ann Franchesca B. Laguna:
Designing a Lightweight Convolutional Neural Network for Camouflaged Object Detection. COMPSAC 2024: 179-187 - [c19]Liu Liu, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications. ISCAS 2024: 1-5 - 2023
- [c18]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
In-Memory Computing Accelerators for Emerging Learning Paradigms. ASP-DAC 2023: 606-611 - [c17]Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II:
Development of a Computer Vision-Based Road Physical Feature Extraction. IEEE Big Data 2023: 1470-1475 - [c16]Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu:
Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. ICCAD 2023: 1-9 - 2022
- [c15]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu:
iMARS: an in-memory-computing architecture for recommendation systems. DAC 2022: 463-468 - [c14]Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu:
Associative Memory Based Experience Replay for Deep Reinforcement Learning. ICCAD 2022: 135:1-135:9 - [c13]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 2022: 137:1-137:9 - 2021
- [c12]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. ASP-DAC 2021: 49-54 - [c11]Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC 2021: 132-139 - [c10]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. DATE 2021: 306-311 - [c9]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu:
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. DATE 2021: 1084-1089 - [c8]Ann Franchesca Laguna, Arman Kazemi, Michael T. Niemier, X. Sharon Hu:
In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. DATE 2021: 1839-1844 - [c7]Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo:
ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. ICCAD 2021: 1-8 - 2020
- [c6]Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. DATE 2020: 127-132 - [c5]David Brooks, Martin M. Frank, Tayfun Gokmen, Udit Gupta, Xiaobo Sharon Hu, Shubham Jain, Ann Franchesca Laguna, Michael T. Niemier, Ian O'Connor, Anand Raghunathan, Ashish Ranjan, Dayane Reis, Jacob R. Stevens, Carole-Jean Wu, Xunzhao Yin:
Emerging Neural Workloads and Their Impact on Hardware. DATE 2020: 1462-1471 - [c4]Ann Franchesca Laguna, Hasindu Gamaarachchi, Xunzhao Yin, Michael T. Niemier, Sri Parameswaran, Xiaobo Sharon Hu:
Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping. ICCAD 2020: 56:1-56:9 - 2019
- [c3]Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu:
Design of Hardware-Friendly Memory Enhanced Neural Networks. DATE 2019: 1583-1586 - [c2]Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu:
Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. ACM Great Lakes Symposium on VLSI 2019: 373-378 - 2017
- [c1]Reneé Dominique M. Castillo, Mima Maiden B. Tejada, Macario O. Cordel II, Ann Franchesca B. Laguna, Joel P. Ilao:
Vsion: Vehicle Occlusion Handling for Traffic Monitoring. ICVIP 2017: 167-171
Informal and Other Publications
- 2022
- [i6]Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu:
iMARS: An In-Memory-Computing Architecture for Recommendation Systems. CoRR abs/2202.09433 (2022) - [i5]Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li:
Experimentally realized memristive memory augmented neural network. CoRR abs/2204.07429 (2022) - [i4]Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu:
Associative Memory Based Experience Replay for Deep Reinforcement Learning. CoRR abs/2207.07791 (2022) - [i3]Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin:
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR abs/2207.12188 (2022) - 2021
- [i2]Xunzhao Yin, Franz Müller, Ann Franchesca Laguna, Chao Li, Wenwen Ye, Qingrong Huang, Qinming Zhang, Zhiguo Shi, Maximilian Lederer, Nellie Laleni, Shan Deng, Zijian Zhao, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Thomas Kämpfe, Kai Ni:
Deep Random Forest with Ferroelectric Analog Content Addressable Memory. CoRR abs/2110.02495 (2021) - 2020
- [i1]Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, Xiaobo Sharon Hu:
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. CoRR abs/2011.07095 (2020)
Coauthor Index
aka: X. Sharon Hu
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