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Hu dissertation

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Junling Hu. An interactive numerical method has been developed to calculate the complex transport phenomena occurring during the transient coupling between the arc plasma and the metal domain. The droplet is treated as an internal obstacle while the arc plasma transport phenomena are calculated, and conversely the calculated arc plasma velocity and temperature are employed as the boundary conditions for the iteration and calculation of the metal domain. The shape and size of the droplet is determined by the balance between electromagnetic force, arc pressure, plasma shear stress, and surface tension.
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I spent the summer and fall of interning at Google AI Translate Team on cross-lingual transfer learning research, and interned at Microsoft Research Redmond on multi-modal machine learning research during the summer of Unsupervised machine translation MT has recently achieved impressive results with monolingual corpora only. However, it is still challenging to associate source-target sentences in the latent space. As people speak different languages biologically share similar visual systems, the potential of achieving better alignment through visual content is promising yet under-explored in unsupervised multimodal MT MMT. In this paper, we investigate how to utilize visual content for disambiguation and promoting latent space alignment in unsupervised MMT. Our model employs multimodal back-translation and features pseudo visual pivoting in which we learn a shared multilingual visual-semantic embedding space and incorporate visually-pivoted captioning as additional weak supervision. The experimental results on the widely used Multi30K dataset show that the proposed model significantly improves over the state-of-the-art methods and generalizes well when images are not available at the testing time.
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Thesis/Dissertation Information

The first recorded thesis was dated , though all theses prior to were lost during the occupation of WWII. The HKU Scholars Hub includes theses in the arts, humanities, education and the social, medical and natural sciences. Many of them deal entirely with or focus on subjects relating to Hong Kong. The collection is primarily in English, with some in English and Chinese, and others in Chinese only.
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Demand for data visualization has exploded in recent years with the increasing availability and use of data across domains. Traditional visualization techniques require users to manually specify visual encodings of data through code or clicks. While manual specification is necessary to create bespoke visualizations, it renders visualization inaccessible to those without technical backgrounds. As a result, visualization recommender systems, which automatically generate results for users to search and select, have gained popularity.
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