Design-for-test methods for stand-alone SRAMs at 1 Gb/s/pin and beyond. - Harold Pilo; Stu Hall; Patrick Hansen; Steve Lamphier; Chris Murphy (ITC, 2000)

An 833-MHz 1.5-W 18-Mb CMOS SRAM with 1.67 Gb/s/pin. - Harold Pilo; Archie Allen; Jim Covino; Patrick Hansen; Steve Lamphier; Chris Murphy; Terry Traver; Pui Yee (IEEE J. Solid State Circuits, 2000)

Real-time contamination modeling for robotic health care support. - Kory Kraft; Tiffany Chu; Patrick Hansen; William D. Smart (IROS, 2016)

Applications of Deep Neural Networks for Ultra Low Power IoT. - Sreela Kodali; Patrick Hansen; Niamh Mulholland; Paul N. Whatmough; David M. Brooks; Gu-Yeon Wei (ICCD, 2017)

A Wide Dynamic Range Sparse FC-DNN Processor with Multi-Cycle Banked SRAM Read and Adaptive Clocking in 16nm FinFET. - Sae Kyu Lee; Paul N. Whatmough; Niamh Mulholland; Patrick Hansen; David Brooks 001; Gu-Yeon Wei (ESSCIRC, 2018)

Soccer Ball Recognition and Distance Prediction Using Fuzzy Petri Nets. - Patrick Hansen; Philip Franco; Seung-Yun Kim (IRI, 2018)

Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning. - Paul N. Whatmough; Chuteng Zhou; Patrick Hansen; Matthew Mattina (CoRR, 2018)

Predicting the Timing and Quality of Responses in Online Discussion Forums. - Patrick Hansen; Richard Junior Bustamante; Tsung-Yen Yang; Elizabeth Tenorio; Christopher G. Brinton; Mung Chiang; Andrew S. Lan (ICDCS, 2019)

FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning. - Paul N. Whatmough; Chuteng Zhou; Patrick Hansen; Shreyas K. Venkataramanaiah; Jae-sun Seo; Matthew Mattina (SysML, 2019)

FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning. - Paul N. Whatmough; Chuteng Zhou; Patrick Hansen; Shreyas K. Venkataramanaiah; Jae-sun Seo; Matthew Mattina (CoRR, 2019)

ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems. - Patrick Hansen; Alexey Vilkin; Yury Khrustalev; James Imber; David Hanwell; Matthew Mattina; Paul N. Whatmough (CoRR, 2019)

ISP4ML: The Role of Image Signal Processing in Efficient Deep Learning Vision Systems. - Patrick Hansen; Alexey Vilkin; Yury Krustalev; James Imber; Dumidu S. Talagala; David Hanwell; Matthew Mattina; Paul N. Whatmough (ICPR, 2020)

FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access. - Jian Meng; Shreyas Kolala Venkataramanaiah; Chuteng Zhou; Patrick Hansen; Paul N. Whatmough; Jae-sun Seo (FPL, 2021)

A LiDAR-Guided Framework for Video Enhancement. - Yu Feng 007; Patrick Hansen; Paul N. Whatmough; Guoyu Lu; Yuhao Zhu 001 (CoRR, 2021)

Fast and Accurate: Video Enhancement Using Sparse Depth. - Yu Feng 007; Patrick Hansen; Paul N. Whatmough; Guoyu Lu; Yuhao Zhu 001 (WACV, 2023)