‪PhD student, University of Texas at Austin‬ - ‪‪Cited by 259‬‬ - ‪Computer Vision‬ - ‪Machine Learning‬

· Experience: Chime · Education: New York University · Location: New York · 500+ connections on LinkedIn. View Liyan Chen’s profile on LinkedIn, a professional community of 1 billion members.

My Research Interests lie in Machine Learning and its application in Computer Vision and Natural Language Processing. Beyond using Machine Learning to discover rules and structures already known to us intuitively or empirically, I’m more passionate about developing Machine Learning methods to learn more intricate structures from data.

Proceedings of the IEEE/CVF conference on computer vision and pattern …

My research harnesses the synergy between a principled algebraic perspective and innovative machine learning to develop versatile and scalable methods for 3D Vision and Geometry. I am a Ph.D. student working with the Graphics & AI Group.

研究方向聚焦于数智技术与艺术，在影视AI技术、虚拟现实、三维动画、数字人、语音翻译与合成等研究方面积累了丰富的经验和成果。 近年来主持并参与20余项国家级和省部级课题研究，取得国家认证的专利及软件著作权50余项，发表40余篇相关论文，创作的多部作品在央视频、人民日报、学习强国等平台刊播，并受到中央广播电视总台国际在线、人民日报海外网等媒体的关注和报道 …

Liyan Chen PhD student, Computer Science Department, University of Texas, Austin Joined October 2017

Residual Value Risk, Forecasting and Modeling at VW Credit, Inc. Data-driven analyst with expertise in quantitative modeling, data visualization, and business analytics. 8+ years of experience...

Liyan Chen received the B.E. degree from the School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2020, where he is currently pursuing the Ph.D. degree. His research interests primarily include high-performance near-memory computing architecture and software codesign.

Chen Liyan (Correspondence author) ,et al.A class similarity based weight estimation algorithm for the personalized enterprisesearch engines. Journal of Computational Information Systems.