Hongteng Xu
Associate Professor
Haidian District, Beijing, China
Summary
👤
Senior🎓
Top SchoolHongteng Xu is an associate professor at the Gaoling School of Artificial Intelligence, Renmin University of China, with nine years of experience bridging academic research and industry innovation in machine learning. He earned a Ph.D. from Georgia Tech and completed postdoctoral and visiting research stints in Prof. Lawrence Carin’s group at Duke, then applied his research at Infinia ML as a senior research scientist. His work spans foundational ML methods and practical applications, informed by internships at GE, Amazon Lab126, NEC Labs, and Qualcomm that targeted neural network compression, image captioning, and systems analysis. Tenured in 2023, he combines rigorous theory with deployment-minded solutions and maintains an active scholarly presence via publications, Google Scholar, and GitHub. A less obvious strength is his cross-cultural research trajectory—trained in China and the U.S.—which gives him fluency in both academic collaboration and industry-focused productization.
9 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Electronic and Information Engineering, Bachelor's degree, Electronic and Information Engineering at Tianjin UniversityDoctor of Philosophy (Ph.D.), Machine Learning and Its Applications, Doctor of Philosophy (Ph.D.), Machine Learning and Its Applications at Georgia TechMaster's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at Shanghai Jiao Tong University
Github Skills (17)
regularization9
autoencoder9
clustering8
pytorch8
graph7
protein-design7
point-cloud7
diffusion-models6
generative-ai4
reflection2
partitioning1
multimodal1
lanczos1
quantum-chemistry1
graph-neural-network1
Programming languages (2)
Github contributions (5)
SDS-Lab/SDSLab-Reading-List
Sep 2023 - May 2026
A list of papers for group meeting
Contributions:1 PR, 34 pushes in 2 years 8 months
SDS-Lab/ROT-Pooling
May 2022 - Dec 2022
Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)
Contributions:24 commits, 1 push in 6 months
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