机器学习 (Machine Learning) PhD positions at University of Arizona
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大家好，我叫张驰丞，是2019秋季刚加入亚利桑那大学计算机系的助理教授。在此之前，我在2012年从北大信息科学技术学院本科毕业，2017年在加州大学圣地亚哥分校获得博士学位，2017-2019在微软研究院（纽约）做博士后。我的主要研究兴趣在交互机器学习的理论和实践，包括但不限于主动学习，部分信息在线学习，模仿学习等。我的工作主要发表在ICML，COLT，NeurIPS等机器学习会议上。如果你有兴趣申请我（或者亚利桑那大学计算机系）的博士生，欢迎访问我们系的招生主页：cs.arizona.edu，我的个人主页：zcc1307.github.io，或邮件联系我：1point3acres.com。
Chicheng Zhang is an assistant professor at the computer science department at University of Arizona starting from Fall 2019. Before joining University of Arizona, he was a postdoctoral researcher at Microsoft Research New York City. He received his PhD from University of California San Diego in 2017, and received his bachelors from Peking University in 2012. His main research interests lie in the theory and the practice of interactive machine learning, where learning algorithms gets involved in data collection process to achieve better data-efficiency. Examples of interactive learning include and are not limited to active learning, online learning with partial feedback, imitation learning. His research works have been published in many top-tier machine learning venues, including ICML, COLT and NeurIPS. More information can be found at zcc1307.github.io
University of Arizona Computer Science ranks #43 in the US News best computer science graduate schools. Currently, the department has a ratio of only 2 Ph.D. students to 1 faculty member, and a total tenure-track faculty size of 20. All Ph.D. students in the department are fully funded. Recently the department has grown significantly in the area of machine learning and data science: see ml.arizona.edu for more details.
If you are interested, please visit the departmental prospective student page cs.arizona.edu or email to 1point3acres.com (feel free to include CV, transcripts and other relevant documents).
Chicheng Zhang is an assistant professor at the computer science department at University of Arizona starting from Fall 2019. Before joining University of Arizona, he was a postdoctoral researcher at Microsoft Research New York City. He received his PhD from University of California San Diego in 2017, and received his bachelors from Peking University in 2012. His main research interests lie in the theory and the practice of interactive machine learning, where learning algorithms gets involved in data collection process to achieve better data-efficiency. Examples of interactive learning include and are not limited to active learning, online learning with partial feedback, imitation learning. His research works have been published in many top-tier machine learning venues, including ICML, COLT and NeurIPS. More information can be found at zcc1307.github.io
University of Arizona Computer Science ranks #43 in the US News best computer science graduate schools. Currently, the department has a ratio of only 2 Ph.D. students to 1 faculty member, and a total tenure-track faculty size of 20. All Ph.D. students in the department are fully funded. Recently the department has grown significantly in the area of machine learning and data science: see ml.arizona.edu for more details.
If you are interested, please visit the departmental prospective student page cs.arizona.edu or email to 1point3acres.com (feel free to include CV, transcripts and other relevant documents).
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