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Weixi Gu
Researcher at Tsinghua University
Publications - 42
Citations - 777
Weixi Gu is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 12, co-authored 36 publications receiving 529 citations. Previous affiliations of Weixi Gu include University of California & University of California, Berkeley.
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Proceedings ArticleDOI
Intelligent sleep stage mining service with smartphones
TL;DR: Sleep Hunter is a mobile service that provides a fine-grained detection of sleep stage transition for sleep quality monitoring and intelligent wake-up call and achieves satisfying detection accuracy compared with dedicated polysomnography-based devices.
Proceedings ArticleDOI
FreeCount: Device-Free Crowd Counting with Commodity WiFi
TL;DR: This paper proposes FreeCount, a device-free crowd counting scheme that is able to precisely estimate the number of people within a region using only commodity WiFi routers and proposes an information theory based feature selection scheme to select the most representative features that are sensitive to human motion.
Proceedings Article
WiFi-Based Human Identification via Convex Tensor Shapelet Learning
TL;DR: A new optimization-based shapelet learning framework for tensors, namely Convex Clustered Concurrent Shapelet Learning (CSL), which formulates the learning problem as a convex optimization, can be obtained efficiently with a generalized gradient-based algorithm.
Journal ArticleDOI
Sleep Hunter: Towards Fine Grained Sleep Stage Tracking with Smartphones
TL;DR: Sleep Hunter is a mobile service that provides a fine-grained detection of sleep stage transition for sleep quality monitoring and intelligent wake-up call and achieves satisfying detection accuracy compared with dedicated polysomnography-based devices.
Journal ArticleDOI
Design Automation for Smart Building Systems
Ruoxi Jia,Baihong Jin,Ming Jin,Yuxun Zhou,Ioannis C. Konstantakopoulos,Han Zou,Joyce Kim,Dan Li,Weixi Gu,Reza Arghandeh,Pierluigi Nuzzo,Stefano Schiavon,Alberto Sangiovanni-Vincentelli,Costas J. Spanos +13 more
TL;DR: This paper identifies, abstract, and formalize components of smart buildings, and presents a design flow that maps high-level specifications of desired building applications to their physical implementations under the PBD framework.