Xing Niu

Dec 24, 2024 | amazon.science | Karel Mundnich |Xing Niu |Prashant Mathur |Srikanth Ronanki

Despite recent advancements in speech processing, zero-resource speech translation (ST) and automatic speech recognition (ASR) remain challenging problems. In this work, we propose to leverage a multilingual Large Language Model (LLM) to perform ST and ASR in languages for which the model has never seen paired audio-text data.

May 13, 2023 | amazon.science | Xing Niu |Georgiana Dinu |Prashant Mathur |Anna Currey

The training data used in NMT is rarely controlled with respect to specific attributes, such as word casing or gender, which can cause errors in translations. We argue that predicting the target word and attributes simultaneously is an effective way to ensure that translations are more faithful to the training data distribution with respect to these attributes.

Apr 10, 2023 | amazon.science | Xing Niu |Prashant Mathur |Georgiana Dinu |Yaser Al-Onaizan

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry. Amazon’s Personalization team is looking for a Principal Applied Scientist to lead step function science improvements across the recommendations space.

Apr 6, 2023 | amazon.science | Benjamin Hsu |Anna Currey |Xing Niu |Georgiana Dinu

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers.

Mar 9, 2023 | amazon.science | Maria Nadejde |Anna Currey |Benjamin Hsu |Xing Niu

How do you design and provide right incentives for millions of sellers that inbound and ship billions of customer orders? How do you measure sellers' response to /causal impacts of capacity control policies we implemented at Amazon using the state-of-the-art econometric techniques? How do you optimize Amazon’s third-party supply chain using new ideas never implemented at this scale to benefit millions of customers worldwide? How do you design and evaluate seller assistance to drive their success?