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Filtering by: Creator Xiao, Dong Remove constraint Creator: Xiao, Dong Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    Imitation Learning For Optimal Joint Beamforming and Antenna Selection Abstract approved: Xiao Fu

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    : Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms Abstract approved: Xiao Fu

  • Weak-supervision Time-series Analysis

    Creator:
    You, Zeyu
    Abstract:
    Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
    Resource Type:
    Dissertation
    Full Text:
    : Prof. Xiaoli Fern, Prof. Jinsub Kim, Prof. Xiao Fu, Prof. Sarah Emerson, Prof. Liang Huang and Prof

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    Oregon State University. Futher, I would like to thank Zhongang Qi and Xiao Fu for the joint discussions

  • Learning algorithms for adapting the compliance of robotic limbs

    Creator:
    Aboufazeli, Mahtab
    Abstract:
    Motivation: Many robots such as legged robots and prosthetic hands/arms are designed to interact with uncertain and time-varying environments to accomplish their tasks. Observations on humans and animals during their daily tasks suggest that they adapt their leg compliance while traversing with different velocities on different grounds and adjust their...
    Resource Type:
    Dissertation

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis

  • Applications of Magnetic Materials in Soft Robotics

    Creator:
    Davis, William M.
    Abstract:
    Magnetic materials can be used in modern soft robotics as a method for external stimulus actuation and motion control. By combining aspects of biology and mechanics, devices are fabricated to create a structure capable of complex movement. Applications that these devices are subject to can be broken down into four...
    Resource Type:
    Capstone Project
    Full Text:
    . Bi, A. Sutor, R. Lerch, and Y. Xiao, “A measurement setup for acquiring the local magnetic

  • The Symbioses of Oblivious Random Access Memory and Trusted Execution Environments

    Creator:
    Rahal-Arabi, Hadi
    Abstract:
    In recent years, Oblivious Random Access Memory (ORAM) controllers in Trusted Execution Environments (TEEs) have become a popular area of investigation, as coresident trusted systems allow for significantly more efficient oblivious execution. Further, in the case of Intel architectures, oblivious execution effectively eliminates the majority of confidentiality leakage holes in...
    Resource Type:
    Masters Thesis
    Full Text:
    . 2.1.1.5 Circuit ORAM: On Tightness of the Goldreich-Ostrovsky Lower Bound [34] Xiao Wang et al. develop

  • Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

    Creator:
    Khodadadi, Abtin
    Abstract:
    Most database users do not know formal query languages, such as SQL, and prefer to express their information needs using usable query languages, such as keyword queries. Keyword queries, however, are inherently ambiguous and challenging for the database systems to understand and answer effectively. We propose a novel approach to...
    Resource Type:
    Capstone Project
    Full Text:
    answers. Dong et al. [17] have studied the problem of picking a subset of data sources to optimize data

  • Towards Direct Simultaneous Speech Translation

    Creator:
    Chen, Junkun
    Abstract:
    Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
    Resource Type:
    Dissertation
    Full Text:
    translation. * is our imple- mentation. Cascaded model is implemented by Dong et al. [32]. . . . . . . . . 43