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of text-to-music models. Collaborate with interdisciplinary teams to integrate the latest diffusion and Large Language Model (LLM) technologies into the project. Leverage expertise in AI to advance
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. Experience in machine learning and deep learning method. Excellent background in algorithms and database systems Excellent background and research experience in data mining algorithms, data management, machine
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of Computing, to work on large language models, with application to text summarization. The initial appointment is for a period of one year, with possible extension subject to research funding availability
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, data mining, artificial intelligence or databases; Proven ability to conduct independent research with a strong and relevant publication record; Prior experience in federated learning, Bayesian
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simulated provenance data Perform literature review and background study on graph analytics for intrusion detection Apply Data Mining & Machine Learning techniques for graph-based intrusion detection
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on vehicle adoption in China, text analysis and interviews with practitioners to understand electric vehicle policies in large cities in the United States and Singapore, understanding factors related
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Proficient in one or more programming languages (e.g., Python, etc.) and research packages/modules Experience in large-scale text processing and analytics Good track records in publication Experience in
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type (e.g., fake news, clickbait, and spam) and data modality (e.g., text, vision, and tabular data), which requires automated general-purpose debunking systems. (3) Effective misinformation mitigation
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. Key Responsibilities: Design of strategies for training data collection and annotation Development of new algorithms for multimodal information fusion such as vision, audio and text. Development of new
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system for depression detection using speech and text information. Key Responsibilities: To lead the team effort in developing multimodal algorithms that can detect early signs of depression from speech