Zijian Zhang
About Zijian Zhang
Zijian Zhang is a Machine Learning Engineer II with a strong background in computer and information systems security. He holds a PhD in Interpretability of Machine Learning Models from Leibniz Universität Hannover and has experience working in both research and industry settings.
Work at SoundHound AI
Zijian Zhang currently holds the position of Machine Learning Engineer II at SoundHound AI. He has been with the company since 2023, working remotely from Berlin, Germany. In this role, he focuses on developing deep learning models, particularly in the area of language tasks. His contributions aim to enhance the capabilities of SoundHound AI's technology in understanding and processing language.
Education and Expertise
Zijian Zhang has a robust educational background in computer science and information systems. He earned his Bachelor of Technology (B.Tech.) in Computer and Information Systems Security/Information Assurance from Xidian University, completing his studies from 2010 to 2014. He then pursued a Master of Science (MS) in Informatik at Leibniz Universität Hannover from 2014 to 2018. He continued his academic journey at the same institution, obtaining a Doctor of Philosophy (PhD) focused on the Interpretability of Machine Learning Models from 2018 to 2023.
Previous Work Experience
Prior to his current role at SoundHound AI, Zijian Zhang worked as a Data Engineer/Data Scientist at Novo AI for seven months in 2023. His work was based in Hannover, Lower Saxony, Germany, and was conducted in a hybrid work environment. Additionally, he served as a Research Assistant and Teaching Assistant at Leibniz Universität Hannover from 2018 to 2022, where he contributed to various research projects and supported academic instruction.
Research Focus and Contributions
Zijian Zhang's research primarily centers on deep learning models with an emphasis on language tasks. He is affiliated with the L3S Research Center, where he investigates model interpretability and understanding. His work aims to enhance the transparency of machine learning models, making them more accessible and understandable for users and researchers alike. This focus on interpretability is crucial for advancing the field of artificial intelligence.
Background and Skills
Zijian Zhang has a strong work ethic and is recognized as a motivated researcher and team player. His educational and professional experiences have equipped him with a solid foundation in machine learning and data science. His ability to collaborate effectively within teams and his dedication to research contribute to his success in the field of artificial intelligence.