Yisen Wang
Visiting Scholar at Georgia Institute of Technology
Beijing, China
Summary
👤
Senior🎓
Top SchoolYisen Wang is a machine learning researcher and visiting scholar with nine years of experience bridging academic research and applied ML across speech, NLP, and computer vision. Trained through PhD studies at Tsinghua, University of Melbourne, and Georgia Tech, he has held visiting scholar roles at Melbourne and Georgia Institute of Technology, where he focuses on data mining and deep learning methods. He brings a researcher’s rigor to practical problems, combining theoretical depth with hands-on experimentation and interdisciplinary collaboration. Based in Beijing with ties to Peking University, he often works at the intersection of multimodal data and scalable ML pipelines, seeking solutions that generalize across tasks. An understated strength is his international academic mobility, which has exposed him to diverse problem settings and cross-cultural research teams.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Georgia Institute of TechnologyDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Tsinghua UniversityThe University of Melbourne
Chinese, English
Github Skills (32)
ranking10
react9
science9
computer-science9
linear-programming8
optimization8
python8
machine-learning8
operations-research8
speech8
constraint-programming8
pytorch8
recurrent7
data-science7
combinatorial-optimization7
Programming languages (2)
Github contributions (5)
YisenWang/symmetric_cross_entropy_for_noisy_labels
Sep 2019 - Dec 2020
Contributions:7 commits, 12 pushes, 1 branch in 1 year 3 months
YisenWang/dynamic_adv_training
May 2019 - Apr 2020
Contributions:5 commits, 6 pushes, 1 branch in 11 months
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