Person:
Huo, Xiaoming

Permanent Link
https://hdl.handle.net/1853/71354
Associated Organization(s)
ORCID
ArchiveSpace Name Record

Filters

2004 - 2009 1 2010 - 2020 3
3 1
4
4
Reset filters

Settings

Publication Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Item
    ML@GT Lab presents LAB LIGHTNING TALKS 2020
    ( 2020-12-04) AlRegib, Ghassan ; Chau, Duen Horng ; Chava, Sudheer ; Cohen, Morris B. ; Davenport, Mark A. ; Desai, Deven ; Dovrolis, Constantine ; Essa, Irfan ; Gupta, Swati ; Huo, Xiaoming ; Kira, Zsolt ; Li, Jing ; Maguluri, Siva Theja ; Pananjady, Ashwin ; Prakash, B. Aditya ; Riedl, Mark O. ; Romberg, Justin ; Xie, Yao ; Zhang, Xiuwei
    Labs affiliated with the Machine Learning Center at Georgia Tech (ML@GT) will have the opportunity to share their research interests, work, and unique aspects of their lab in three minutes or less to interested graduate students, Georgia Tech faculty, and members of the public. Participating labs include: Yao’s Group - Yao Xie, H. Milton Stewart School of Industrial Systems and Engineering (ISyE); Huo Lab - Xiaoming Huo, ISyE; LF Radio Lab – Morris Cohen, School of Electrical Computing and Engineering (ECE); Polo Club of Data Science – Polo Chau, CSE; Network Science – Constantine Dovrolis, School of Computer Science; CLAWS – Srijan Kumar, CSE; Control, Optimization, Algorithms, and Randomness (COAR) Lab – Siva Theja Maguluri, ISyE; Entertainment Intelligence Lab and Human Centered AI Lab – Mark Riedl, IC; Social and Language Technologies (SALT) Lab – Diyi Yang, IC; FATHOM Research Group – Swati Gupta, ISyE; Zhang's CompBio Lab – Xiuwei Zhang, CSE; Statistical Machine Learning - Ashwin Pananjady, ISyE and ECE; AdityaLab - B. Aditya Prakash, CSE; OLIVES - Ghassan AlRegib, ECE; Robotics Perception and Learning (RIPL) – Zsolt Kira, IC; Eye-Team - Irfan Essa, IC; and Mark Davenport, ECE.
  • Thumbnail Image
    Item
    Beamlet-like Data Processing for Accelerated Path-Planning Using Multiscale Information of the Environment
    (Georgia Institute of Technology, 2010-12) Lu, Yibiao ; Huo, Xiaoming ; Tsiotras, Panagiotis
    We consider the deterministic path-planning problem dealing with the single-pair shortest path on a given graph. We propose a multiscale version of the well known A* algorithm (m-A*), which utilizes information of the environment at distinct scales. This information is collected via a bottom-up fusion method. Comparing with existing algorithms such as Dijkstra’s or A*, the use of multiscale information leads to an improvement in terms of computational complexity.
  • Thumbnail Image
    Item
    Fundamentals and applications of connect the dots methods
    (Georgia Institute of Technology, 2010-08-01) Huo, Xiaoming ; Tovey, Craig A.
  • Thumbnail Image
    Item
    Wavelet-based Data Reduction Techniques for Process Fault Detection
    (Georgia Institute of Technology, 2004) Jeong, Myong-Kee ; Lu, Jye-Chyi ; Huo, Xiaoming ; Vidakovic, Brani ; Chen, Di
    To handle potentially large and complicated nonstationary data curves, this article presents new data reduction methods based on the discrete wavelet transform. The methods minimize objective functions to balance the tradeoff between data reduction and modeling accuracy. Theoretic investigations provide the optimality of the methods and the large-sample distribution of a closedform estimate of the thresholding parameter. An upper bound of errors in signal approximation (or estimation) is derived. Based on evaluation studies with popular testing curves and real-life data sets, the proposed methods demonstrate their competitiveness to the existing engineering data-compression and statistical data-denoising methods for achieving the data reduction goals. Further experimentation with a tree-based classification procedure for identifying process fault classes illustrates the potential of the data-reduction tools. Extension of the engineering scalogram to the reduced-size semiconductor fabrication data leads to a visualization tool for monitoring and understanding process problems.