T
Tsung-Han Lin
Researcher at Intel
Publications - 48
Citations - 3086
Tsung-Han Lin is an academic researcher from Intel. The author has contributed to research in topics: Spiking neural network & Neuromorphic engineering. The author has an hindex of 16, co-authored 48 publications receiving 2009 citations. Previous affiliations of Tsung-Han Lin include Harvard University & National Taiwan University.
Papers
More filters
Journal ArticleDOI
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Michael Davies,Narayan Srinivasa,Tsung-Han Lin,Gautham N. Chinya,Cao Yongqiang,Sri Harsha Choday,Georgios D. Dimou,Prasad Joshi,Nabil Imam,Shweta Jain,Yuyun Liao,Chit-Kwan Lin,Andrew Lines,Ruokun Liu,Deepak A. Mathaikutty,Steven McCoy,Arnab Paul,Jonathan Tse,Guruguhanathan Venkataramanan,Yi-Hsin Weng,Andreas Wild,Yoon Seok Yang,Hong Wang +22 more
TL;DR: Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon, and can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area.
Proceedings ArticleDOI
Localization with snap-inducing shaped residuals (SISR): coping with errors in measurement
TL;DR: This work proposes a new error-tolerant localization method, called snap-inducing shaped residuals (SISR), to identify automatically "bad nodes" and "bad links" arising from errors, so that they receive less weight in the localization process.
Journal Article
Stable and Efficient Representation Learning with Nonnegativity Constraints
Tsung-Han Lin,Hsiang-Tsung Kung +1 more
TL;DR: In this article, a nonnegative variant of Orthogonal matching pursuit (NOMP) is proposed to mitigate OMP's stability issue and is resistant to noise overfitting.
Proceedings ArticleDOI
Determining RF angle of arrival using COTS antenna arrays: A field evaluation
TL;DR: It is concluded that a COTS-based approach to RF source localization is amenable to rapid and low-cost deployment of sensing infrastructure and could potentially be of interest to the Intelligence, Surveillance and Reconnaissance (ISR) community at the tactical edge.
Proceedings ArticleDOI
Measuring diversity on a low-altitude UAV in a ground-to-air wireless 802.11 mesh network
TL;DR: This work considers the problem of mitigating a highly varying wireless channel between a transmitting ground node and receivers on a small, low-altitude unmanned aerial vehicle (UAV) in a 802.11 wireless mesh network and suggests that using several receiver nodes simultaneously can boost packet delivery rates substantially.