FIND PROFESSORS AND RESEARCH OPPORTUNITIES

YourScholar.ai helps discover professors by research area, explore academic profiles, and find potential collaboration opportunities for Master's, PhD, and scholarship applications.

PROFESSORS IN REPRESENTATION LEARNING

Showing page 1 of 1 — 11 professors available publicly

 Honglak Lee

Honglak Lee

deep learning representation learning unsupervised learning

Honglak Lee is currently a Executive Vice President and Chief Scientist of Artificial Intelligence at LG AI Research and an Associate Professor of Computer Science at the University of Michigan, Ann Arbor. Previously he worked as a Research Scientist at Google Research, Brain Tea...

Tengyu Ma

Tengyu Ma

deep learning theory non-convex optimization reinforcement learning

Tengyu Ma is an Assistant Professor of Computer Science at Stanford University. His research focuses on machine learning and algorithms, especially topics such as deep learning theory, non‑convex optimization, reinforcement learning, representation learning, distributed optimiz...

Aditya Grover

Aditya Grover

probabilistic machine learning deep generative models representation learning

Aditya Grover is an Assistant Professor of Computer Science at the UCLA Samueli School of Engineering where he leads the Machine Intelligence Group. His research focuses on probabilistic machine learning, deep generative models, representation learning, and sequential decision ma...

Jason Lee

Jason Lee

foundations of deep learning representation learning reinforcement learning

Jason Lee is an associate professor in EECS and Statistics at UC Berkeley. Prior to that, he was an associate professor at Princeton and a researcher at Google Deepmind. Jason received his PhD at Stanford University advised by Trevor Hastie and Jonathan Taylor, and was a postdoct...

Simon Shaolei Du

Simon Shaolei Du

deep learning representation learning reinforcement learning

Simon Shaolei Du is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at University of Washington. His research interests are broadly in machine learning such as deep learning, representation learning, reinforcement learning and data selection. ...

 Wenqi Wei

Wenqi Wei

Trustworthy Data Management Responsible Data Analysis Representation Learning

I am currently a tenure-track assistant professor at Fordham University. I received my PhD in Computer Science from Georgia Institute of Technology in 2022. I was fortunate to work with Professor Ling Liu in the Distributed Data Intensive Systems Lab (DiSL). After graduation, I s...

Manling Li

Manling Li

Representation Learning Deep Generative Models Structured Prediction

Dr. Manling Li is an Assistant Professor of Computer Science at Northwestern University. Her research focuses on artificial intelligence and machine learning, particularly on developing methods that help machines effectively learn from complex, high-dimensional data. She works on...

Hongchang Gao

Hongchang Gao

deep learning machine learning neural network optimization

Hongchang Gao joined the CIS department at Temple University as a tenure-track Assistant Professor in 2020. Prior to this, he received his Ph.D. degree in Electrical and Computer Engineering from University of Pittsburgh in 2020, under the supervision of Dr. Heng Huang. He also e...

aminul islam

aminul islam

Natural Language Processing (NLP) Representation Learning Multimodal Language Modeling

Dr. Aminul Islam is an Associate Professor and the Hardy Edmiston Endowed Professor in the School of Computing and Informatics at the University of Louisiana at Lafayette. A specialist in Natural Language Processing (NLP) and Representation Learning, his research focuses on makin...

Xin Zhong

Xin Zhong

computer vision multimedia watermarking deep learning

Xin Zhong, Ph.D., is an Assistant Professor of Computer Science at the University of Nebraska at Omaha, where he teaches and mentors students in advanced computing topics. His academic focus includes deep learning and machine learning, and his research spans areas such as compute...

Peirong Liu

Peirong Liu

Medical Image Computing (MIC) Artificial Intelligence for Healthcare Foundational Theories of Learning

Dr. Peirong Liu is an assistant professor of Electrical and Computer Engineering at Johns Hopkins University, with a joint appointment at the Data Science and Artificial Intelligence (DSAI) Institute. Dr. Liu’s research lies in AI for Healthcare, at an intersection of machin...