[招生][教授本人]Purdue University(普渡大学)ECE系招deep learning方向全奖PhD
20315
入学时间： 2025年秋季
Program: Ph.D.
Funding: 全奖（含生活补助，医疗保险，学费）
研究方向：Deep Learning(深度学习），包含Mathematical Foundation of Deep Learning, Deep Learning theory, Optimization in Deep Learning。导师给予详尽指导，导师具体研究兴趣见下：
Research Interests: My research focuses on the (theoretical) foundation of deep learning and its applications. I am enthusiastic in studying fundamental deep learning problems and opening the “black box” of deep learning, by theoretically understanding the neural network models and the dynamics of neural network training. I am also interested in applying these new findings to solve practical problems.
In the past few years, my research effort has been devoted to finding fundamental properties of neural networks and/or algorithms that are responsible for the practical fast training. By doing so, we were able to establish optimization theories and develop accelerated algorithms for neural networks. Lately, I am working on properties and training dynamics of attention-models, feature learning, architecture's effect on feature representation, and so on.
My research interests also include: experimentally finding new phenomena in deep learning and understanding/explaining them using mathematical tools, and the connections between optimization and generalization performance of neural networks.
岗位要求: 希望申请者有较强的数学背景，数学，统计，理论物理的本科及/或以上学历更好。如有兴趣请发CV及成绩单到 [email protected]
导师简介：PhD及Postdoc期间都师从于Prof. misha.belkin-wang.org (double descent的提出者)，发表NeurIPS, ICLR, ICML等顶级ML会议/期刊10余篇。现为Purdue University, ECE系助理教授。其它信息见个人主页：cliu212.github.io
普渡大学(Purdue University) 世界著名老牌理工科学府，其ECE系常年位列于全美工程学院排行榜的前十。最新USNews排名(Electrical Engineering: #7; Computer Engineering: #8)见 engineering.purdue.edu。
Program: Ph.D.
Funding: 全奖（含生活补助，医疗保险，学费）
研究方向：Deep Learning(深度学习），包含Mathematical Foundation of Deep Learning, Deep Learning theory, Optimization in Deep Learning。导师给予详尽指导，导师具体研究兴趣见下：
Research Interests: My research focuses on the (theoretical) foundation of deep learning and its applications. I am enthusiastic in studying fundamental deep learning problems and opening the “black box” of deep learning, by theoretically understanding the neural network models and the dynamics of neural network training. I am also interested in applying these new findings to solve practical problems.
In the past few years, my research effort has been devoted to finding fundamental properties of neural networks and/or algorithms that are responsible for the practical fast training. By doing so, we were able to establish optimization theories and develop accelerated algorithms for neural networks. Lately, I am working on properties and training dynamics of attention-models, feature learning, architecture's effect on feature representation, and so on.
My research interests also include: experimentally finding new phenomena in deep learning and understanding/explaining them using mathematical tools, and the connections between optimization and generalization performance of neural networks.
岗位要求: 希望申请者有较强的数学背景，数学，统计，理论物理的本科及/或以上学历更好。如有兴趣请发CV及成绩单到 [email protected]
导师简介：PhD及Postdoc期间都师从于Prof. misha.belkin-wang.org (double descent的提出者)，发表NeurIPS, ICLR, ICML等顶级ML会议/期刊10余篇。现为Purdue University, ECE系助理教授。其它信息见个人主页：cliu212.github.io
普渡大学(Purdue University) 世界著名老牌理工科学府，其ECE系常年位列于全美工程学院排行榜的前十。最新USNews排名(Electrical Engineering: #7; Computer Engineering: #8)见 engineering.purdue.edu。
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