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Zhang Yusheng is a highly accomplished Principal Researcher at Microsoft Research Asia (MSRA), specializing in Artificial Intelligence with a significant focus on Natural Language Processing (NLP) and Large Language Models (LLMs). His work involves pushing the boundaries of machine understanding and generation of human language, contributing to advancements in areas such as machine translation, text summarization, dialogue systems, and efficient AI models. Yusheng is recognized for his leadership in research projects that bridge fundamental AI exploration with practical applications, influencing both the academic community and Microsoft's product landscape. He has a strong publication record in top-tier AI conferences and journals, and is actively involved in mentoring upcoming researchers in the field.
遇升 张's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led and contributed to foundational research in model compression, quantization, and efficient training/inference techniques for large-scale neural networks, making advanced AI models more practical and deployable.
Authored and co-authored a significant number of influential papers in premier AI and NLP conferences and journals such as NeurIPS, ICML, ICLR, ACL, EMNLP, and NAACL, contributing to the collective knowledge and progress of the field.
His research has directly impacted and been integrated into various Microsoft products and services, enhancing their AI capabilities, particularly in natural language understanding and generation.
Holds a leadership role as a Principal Researcher, guiding research directions, managing projects, and mentoring junior researchers and interns, fostering a new generation of AI talent.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
杏树林 (Apricot Forest) is a leading mobile platform dedicated to serving doctors in China. It provides a suite of tools and resources including medical literature access, clinical case sharing, patient management applications, and professional networking opportunities. The platform aims to improve physicians' efficiency, clinical decision-making, and continuous medical education, ultimately enhancing healthcare quality.
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