Ann Franchesca Laguna

31 papers A* 1A 12B 1C 2Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	FACAM: Design and Optimization of A Compact Energy Efficient FeFET-Based Analog Content Addressable Memory. ICCAD Jiahao Cai, Ann Franchesca Laguna, Zeyu Yang, Yuxiao Yang, Thomas Kämpfe, Zheyu Yan, Cheng Zhuo, Xunzhao Yin
2024	J	`jnl`	Accelerating Recommendation Systems With In-Memory Embedding Operations. IEEE Trans. Circuits Syst. Artif. Intell. Mengyuan Li, Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2024	C	`conf`	Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications. ISCAS Liu Liu, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2024	C	`conf`	TinyFSL: Tiny Machine Learning for Filipino Sign Language. PACLIC Loben Klien A Tipan, Alyanna Mari Abalos, Alyana Erin Bondoc, Justin Jarrett To, Joanna Pauline Rivera, Ann Franchesca Laguna, Edward Tighe
2023	J	`jnl`	A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. IEEE Trans. Circuits Syst. I Regul. Pap. Liu Liu, Ann Franchesca Laguna, Ramin Rajaei, Mohammad Mehdi Sharifi, Arman Kazemi, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu
2023	B	`conf`	Development of a Computer Vision-Based Road Physical Feature Extraction. IEEE Big Data Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II
2023	—	`conf`	In-Memory Computing Accelerators for Emerging Learning Paradigms. ASP-DAC Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2023	A	`conf`	Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. ICCAD Ann Franchesca Laguna, Mohammad Mehdi Sharifi, Dayane Reis, Liu Liu, Andrew Hennessee, Clayton O'Dell, Ian O'Connor, Michael T. Niemier, X. Sharon Hu
2022	A	`conf`	Associative Memory Based Experience Replay for Deep Reinforcement Learning. ICCAD Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu
2022	J	`jnl`	Associative Memory Based Experience Replay for Deep Reinforcement Learning. CoRR Mengyuan Li, Arman Kazemi, Ann Franchesca Laguna, X. Sharon Hu
2022	A	`conf`	COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. ICCAD 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
2022	J	`jnl`	COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search. CoRR 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
2022	J	`jnl`	Experimentally realized memristive memory augmented neural network. CoRR 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
2022	J	`jnl`	FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. IEEE Trans. Computers Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Xunzhao Yin, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu
2022	J	`jnl`	iMARS: An In-Memory-Computing Architecture for Recommendation Systems. CoRR Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu
2022	A*	`conf`	iMARS: an in-memory-computing architecture for recommendation systems. DAC Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael T. Niemier, X. Sharon Hu
2021	—	`conf`	Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. ASP-DAC Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2021	—	`conf`	Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. ASP-DAC Hussam Amrouch, Xiaobo Sharon Hu, Mohsen Imani, Ann Franchesca Laguna, Michael T. Niemier, Simon Thomann, Xunzhao Yin, Cheng Zhuo
2021	J	`jnl`	Deep Random Forest with Ferroelectric Analog Content Addressable Memory. CoRR 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
2021	A	`conf`	Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. DATE Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2021	A	`conf`	ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. ICCAD 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
2021	A	`conf`	In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. DATE Ann Franchesca Laguna, Arman Kazemi, Michael T. Niemier, X. Sharon Hu
2021	A	`conf`	In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. DATE Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, X. Sharon Hu
2020	A	`conf`	A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. DATE Dayane Reis, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2020	A	`conf`	Emerging Neural Workloads and Their Impact on Hardware. DATE 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
2020	J	`jnl`	In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. CoRR Arman Kazemi, Mohammad Mehdi Sharifi, Ann Franchesca Laguna, Franz Müller, Ramin Rajaei, Ricardo Olivo, Thomas Kämpfe, Michael T. Niemier, Xiaobo Sharon Hu
2020	A	`conf`	Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping. ICCAD Ann Franchesca Laguna, Hasindu Gamaarachchi, Xunzhao Yin, Michael T. Niemier, Sri Parameswaran, Xiaobo Sharon Hu
2020	J	`jnl`	The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. IEEE Des. Test 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
2019	A	`conf`	Design of Hardware-Friendly Memory Enhanced Neural Networks. DATE Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu
2019	—	`conf`	Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. ACM Great Lakes Symposium on VLSI Ann Franchesca Laguna, Xunzhao Yin, Dayane Alfenas Reis, Michael T. Niemier, Xiaobo Sharon Hu
2014	J	`jnl`	Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments. IEICE Trans. Inf. Syst. Federico Ang, Rowena Cristina L. Guevara, Yoshikazu Miyanaga, Rhandley Domingo Cajote, Joel P. Ilao, Michael Gringo Angelo Bayona, Ann Franchesca Laguna