Summary
Chenyan Xiong is an associate professor and researcher with 12 years of experience specializing in text retrieval, representation, and understanding using semantic models and neural networks. After PhD work in information retrieval at Carnegie Mellon, Chenyan held research roles at Microsoft—including principal researcher—and returned to CMU’s Language Technologies Institute to lead academic research. His work spans natural language understanding, knowledge graphs, deep learning, and information retrieval, with industry impact demonstrated by research fellowships and awards from AI2 and earlier internships at Baidu and Microsoft. Based in Kirkland, WA, he combines rigorous academic grounding with practical product-focused research, often bridging large-scale industry problems and cutting-edge IR methods. Colleagues know him for turning semantic insights into deployable retrieval systems and for mentoring cross-disciplinary teams at the intersection of ML and language.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Wuhan University
Master of Science (MS), Information retrieval, Master of Science (MS), Information retrieval at Chinese academy of science
Master's degree, Computer Science, Master's degree, Computer Science at Carnegie Mellon University
Chinese, English