Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments. - Federico Ang; Rowena Cristina L. Guevara; Yoshikazu Miyanaga; Rhandley Domingo Cajote; Joel P. Ilao; Michael Gringo Angelo Bayona; Ann Franchesca Laguna (IEICE Trans. Inf. Syst., 2014)

Vsion: Vehicle Occlusion Handling for Traffic Monitoring. - Reneé Dominique M. Castillo; Mima Maiden B. Tejada; Macario O. Cordel II; Ann Franchesca B. Laguna; Joel P. Ilao (ICVIP, 2017)

Design of Hardware-Friendly Memory Enhanced Neural Networks. - Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2019)

Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. - Ann Franchesca Laguna; Xunzhao Yin; Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2019)

Emerging Neural Workloads and Their Impact on Hardware. - David Brooks 001; 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 001; Dayane Reis; et al. (DATE, 2020)

A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2020)

Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping. - Ann Franchesca Laguna; Hasindu Gamaarachchi; Xunzhao Yin; Michael T. Niemier; Sri Parameswaran; Xiaobo Sharon Hu (ICCAD, 2020)

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. - Xiaoming Chen 003; Kai Ni 004; Michael T. Niemier; Dayane Reis; Xiaoyu Sun 001; Panni Wang; Suman Datta; Xiaobo Sharon Hu; Xunzhao Yin; Matthew Jerry; Shimeng Yu; Ann Franchesca Laguna (IEEE Des. Test, 2020)

Cross-layer Design for Computing-in-Memory: From Devices, Circuits, to Architectures and Applications. - Hussam Amrouch; Xiaobo Sharon Hu; Mohsen Imani; Ann Franchesca Laguna; Michael T. Niemier; Simon Thomann; Xunzhao Yin; Cheng Zhuo (ASP-DAC, 2021)

Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2021)

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Ramin Rajaei; Ricardo Olivo; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. - Ann Franchesca Laguna; Arman Kazemi; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2021)

ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. - Hussam Amrouch; Di Gao; Xiaobo Sharon Hu; Arman Kazemi; Ann Franchesca Laguna; Kai Ni 004; Michael T. Niemier; Mohammad Mehdi Sharifi; Simon Thomann; Xunzhao Yin; Cheng Zhuo (ICCAD, 2021)

Deep Random Forest with Ferroelectric Analog Content Addressable Memory. - Xunzhao Yin; Franz Müller 001; Ann Franchesca Laguna; Chao Li 065; Wenwen Ye; Qingrong Huang; Qinming Zhang; Zhiguo Shi 001; Maximilian Lederer; Nellie Laleni; Shan Deng; Zijian Zhao 001; et al. (CoRR, 2021)

iMARS: an in-memory-computing architecture for recommendation systems. - Mengyuan Li 001; Ann Franchesca Laguna; Dayane Reis; Xunzhao Yin; Michael T. Niemier; X. Sharon Hu (DAC, 2022)

Associative Memory Based Experience Replay for Deep Reinforcement Learning. - Mengyuan Li 001; Arman Kazemi; Ann Franchesca Laguna; X. Sharon Hu (ICCAD, 2022)

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. - Che-Kai Liu; Haobang Chen; Mohsen Imani; Kai Ni 004; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu; Liang Zhao; Cheng Zhuo; Xunzhao Yin (ICCAD, 2022)

Experimentally realized memristive memory augmented neural network. - 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 (CoRR, 2022)

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Xunzhao Yin; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (IEEE Trans. Computers, 2022)

In-Memory Computing Accelerators for Emerging Learning Paradigms. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2023)

Development of a Computer Vision-Based Road Physical Feature Extraction. - Juliana Marie Agulto; Yeohan Lorenzo Noroña; Gian Carlo Gutierrez; Eric Benabaye; Geanne Franco; Ann Franchesca Laguna; Jocelynn Cu; Joel Ilao; Macario O. Cordel II (IEEE Big Data, 2023)

Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. - Ann Franchesca Laguna; Mohammad Mehdi Sharifi; Dayane Reis; Liu Liu; Andrew Hennessee; Clayton O'Dell; Ian O'Connor; Michael T. Niemier; X. Sharon Hu (ICCAD, 2023)

A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. - Liu Liu; Ann Franchesca Laguna; Ramin Rajaei; Mohammad Mehdi Sharifi; Arman Kazemi; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Designing a Lightweight Convolutional Neural Network for Camouflaged Object Detection. - Mark Edward M. Gonzales; Hans Oswald A. Ibrahim; Elyssia Barrie H. Ong; Ann Franchesca B. Laguna (COMPSAC, 2024)

Design of High-Performance and Compact CAM for Supporting Data-Intensive Applications. - Liu Liu; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2024)