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工作经历和教育背景
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所做项目
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Viral Video View Counts Prediction
We are working on building the regression model for predicting the view counts of viral videos on YouTube. The features we used including both video information and social features(tweets, social spreading pattern).
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Automatic Text Categorisation for Unstructured Architecture Sensor Tags(Java)
? Build a Java software with feature generation, feature extraction, classification etc packages in UML standard with UI.
? Flexible interface for plugging in different machine learning libraries e.g weka and algorithms.
? Develop algorithms for efficiently processing noisy text data with random fields.
? Explore on dataset with more than 10,000 samples. Reach 80% of prediction accuracy on unlabelled data with 50% labeled data. -
Brain-Imaging for detecting Emotions (Java,Matlab)
? Apply machine learning technology in classifying level of excitement on EEG collected data
? Serve as researcher on signal processing and feature extraction algorithm and perform experiment design
? Explore Windowing functions, HOC and ICA其他创始人 -
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MediQA - A prototype question answering system using PubMed
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Design of a question answering system using PubMed medical data, augmented by existing information retrieval systems like Google.
Tech: MapReduce, Question Answering, Scrapy Framework, Python, Java, Lucene其他创始人 -
语言能力
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English
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Chinese(Mandarin)
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Contonese
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