Matthew Tang

11 papers A* 2B 1C 1Misc 1Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2024 C conf
The Role of Authentic Assessments in Multi-Displiniary Design and Build Modules for Enhancing Student Employability.
FIE
Yasir Alfadhl, Yue Chen, Kok Keong Chai, Matthew Tang
2023 A* conf
OATutor: An Open-source Adaptive Tutoring System and Curated Content Library for Learning Sciences Research.
CHI
Zachary A. Pardos, Matthew Tang, Ioannis Anastasopoulos, Shreya K. Sheel, Ethan Zhang
2022 B conf
The Robot Olympics: Estimating and Influencing Beliefs About a Robot's Perceptual Capabilities.
RO-MAN
Matthew Rueben, Eitan Rothberg, Matthew Tang, Sarah Inzerillo, Saurabh S. Kshirsagar, Maansi Manchanda, Ginger Dudley, Marlena R. Fraune, Maja J. Mataric
2020 — conf
Attention Mechanism with BERT for Content Annotation and Categorization of Pregnancy-Related Questions on a Community Q&A Site.
BIBM
Xiao Luo, Haoran Ding, Matthew Tang, Priyanka Gandhi, Zhan Zhang, Zhe He
2020 — conf
Estimating and Influencing User Mental Models of a Robot's Perceptual Capabilities: Initial Development and Pilot Study.
HRI (Companion)
Matthew Rueben, Maja J. Mataric, Eitan Rothberg, Matthew Tang
2020 Misc conf
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network.
ACSSC
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
2020 J jnl
FuSSI-Net: Fusion of Spatio-temporal Skeletons for Intention Prediction Network.
CoRR
Francesco Piccoli, Rajarathnam Balakrishnan, Maria Jesus Perez, Moraldeepsingh Sachdeo, Carlos Nuñez, Matthew Tang, Kajsa Andreasson, Kalle Bjurek, Ria Dass Raj, Ebba Davidsson, Colin Eriksson, Victor Hagman, Jonas Sjöberg, Ying Li, L. Srikar Muppirisetty, Sohini Roychowdhury
2019 J jnl
Progress Notes Classification and Keyword Extraction using Attention-based Deep Learning Models with BERT.
CoRR
Matthew Tang, Priyanka Gandhi, Md. Ahsanul Kabir, Christopher Zou, Jordyn Blakey, Xiao Luo
2018 A* conf
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.
CVPR
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko
2017 J jnl
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.
CoRR
Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko
2009 — conf
Evaluation methods for curvilinear feature extraction.
AIPR
Peter Doucette, Ann Martin, Chris Kavanagh, Tim McIntyre, Steven Barton, Jacek Grodecki, Seth M. Malitz, Matthew Tang, Joshua Nolting