Xingxing Zhang
Beijing, China
Summary
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RockstarXingxing Zhang is a Principal Researcher at Microsoft Research Asia with 11 years of experience specializing in natural language generation, language modeling, sequence-to-sequence learning, attention mechanisms, and structured prediction with neural networks. With a PhD in NLP from the University of Edinburgh and prior internships at Facebook AI Research and Microsoft Research, she bridges deep academic rigor and applied research in industrial settings. Her work focuses on advancing generative and structured prediction models, often exploring how attention and architecture choices shape generation quality. Based in Beijing, she maintains an active research homepage highlighting publications and projects that influence both the academic community and deployed AI systems. Notably, her career traces a steady progression from hands-on NLP engineering to leading research roles, reflecting both technical depth and sustained impact.
11 years of coding experience
Github Skills (75)
similarity-search10
language-model10
python10
deep-learning10
gpu10
foundation-models10
gpu-acceleration10
clustering10
pre-trained-model10
multimodal10
numpy10
scale10
neural-network10
nlp10
tensor10
Programming languages (4)
Github contributions (5)
XingxingZhang/dress
Jul 2017 - Nov 2021
DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf
Contributions:47 commits, 1 PR, 30 pushes in 4 years 4 months
nlppdfanthologysimplificationnatural-language-processing
nlpapereading/nlpapereading
Sep 2021 - Sep 2022
Contributions:73 commits, 70 pushes in 1 year
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