Advanced Machine Learning Eric Xing |
People
Instructor:
- Eric Xing, Office: in class room, Office hours: after class
BIO: Dr. Eric Xing is an associate professor in the Machine Learning Department, the Computer Science Department, the Language Technology Institute, and the Lane Center of Computational Biology within the School of Computer Science at Carnegie Mellon University. His principal research interests lie in the development of machine learning and statistical methodology; especially for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds; and for building quantitative models and predictive understandings of the evolutionary mechanism, regulatory circuitry, and developmental processes of biological systems.
His current work involves, 1) foundations of statistical learning, including theory and algorithms for estimating time/space varying-coefficient models with evolving structures, sparse structured input/output models in very high-dimensional space, and nonparametric techniques for infinite-dimensional models; 2) computational and comparative genomic analysis of biological sequences, systems biology investigation of gene regulation, and statistical analysis of genetic variation, demography and disease linkage; and 3) application of statistical learning in social networks, text/image mining, vision, and machine translation, which are supported by NSF, NIH, DARPA, ONR, etc.
Professor Xing received his B.S. in Physics from Tsinghua University, his first Ph.D. in Molecular Biology and Biochemistry from Rutgers University, and then his second Ph.D. in Computer Science from UC Berkeley. He has been a member of the faculty at CMU since 2004. He has published over 90 peer-reviewed papers in machine learning, statistics, and computational biology, and is an associate editor of the Annals of Applied Statistics, the PLoS Journal of Computational Biology, and a member of the editorial board of the Machine Learning journal. He is a recipient of the NSF Career Award, and an Alfred P. Sloan Fellow of Computer Science.
Lecture Hosts:
- Prof. Liwei Wang
Associate Professor
Department of Machine Intelligence
School of Electronics Engineering & Computer Sciences
Peking University
Beijing, 100871, China - Prof. Changshui Zhang
Professor
Dept of Automation, Tsinghua University
Vice Director of Information Processing Institute
Tsinghua University
Beijing,100084,China
Teaching Assistant:
- Jun Zhu
Ph.D.
Department of Computer Science and Technology
Tsinghua University
Beijing, 100084 China - Gang Chen
Ph.D. Candidate
Department of Automation
Tsinghua University
Beijing, 100084 China - Zheng Wang
Ph.D. Candidate
Department of Automation
Tsinghua University
Beijing, 100084 China - Kun Gai
Ph.D. Candidate
Department of Automation
Tsinghua University
Beijing, 100084 China - Jianwen Zhang
Ph.D. Candidate
Department of Automation
Tsinghua University
Beijing, 100084 China - Shouchun Chen
Ph.D. Candidate
Department of Automation
Tsinghua University
Beijing, 100084 China
The class mailing list is adv.ml2009@gmail.com.