Scholar
Wenbin He
Google Scholar ID: BQG5angAAAAJ
Senior Research Manager and Lead Scientist at Bosch
Citations & Impact
Citations
564
H-index
12
i10-index
16
Publications
20
Co-authors
18
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Paper 'InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations' won IEEE VIS 2019 Best Paper Award
- Paper on parallel reduction received IEEE LDAV 2018 Best Paper Honorable Mention Award
- Multiple papers published in top-tier venues including IEEE TVCG and IEEE PacificVis
- Paper on visual analytics for deep reinforcement learning models accepted by PacificVis 2020
- Paper on kernel density estimation of surfaces accepted by IEEE TVCG in 2018
Research Experience
- Research Scientist at Bosch, Mar 2020 – Present, working on Human Machine Interaction and Visual Computing
- Graduate Research Associate at The Ohio State University, May 2013 – Dec 2016 and May 2017 – Dec 2019, worked on exploration and analysis of ensemble datasets using statistical and deep learning models
- Graduate Teaching Associate at The Ohio State University, Jan 2017 – May 2017, taught CSE 5542 Real-Time Rendering and CSE 5544 Introduction to Data Visualization
- Summer Intern at Mitsubishi Electric Research Laboratories (MERL), May 2019 – July 2019, developed visual analytics techniques to interpret and diagnose deep reinforcement learning models for robot control, focusing on simulation-to-reality transfer failures
- Research Aide at Argonne National Laboratory, May 2016 – Aug 2016, developed parallel reduction techniques for visualizing and analyzing extreme-scale datasets on supercomputers
- Research Aide at Argonne National Laboratory, May 2015 – July 2015, analyzed and visualized finite-time Lyapunov exponents and Lagrangian coherent structures in uncertain unsteady flows using statistical models
