Qinsheng Zhang
An explorer from Quzhou
I am a research scientist at NVIDIA Deep Imagination Research Group. I received Ph.D. in Robotics from Georgia Institute of Technology IRIM in 2023, fortunately advised by Yongxin Chen.
Previously, I received my bachelar in 2019 from Shanghai Jiaotong University, where I taught robots to play soccer.
My work has focused on probabilistic modeling of high-dimensional data, and the application of this technique to various domains. Specifically, I approach data, such as real images and feasible robot trajectories, as samples drawn from complex distributions. I investigate the representation, learning, and sampling of the underlying distributions.
My research interests include:
- Density models: learning and sampling.
- Probalistic robotics
- Optimal Transport
news
| Dec 1, 2023 | Graduated from GaTech and joined Nvidia as a research scientist working on NVIDIA GenAI, specifically Picasso. |
|---|---|
| May 16, 2022 | ICML22 Wasserstein gradient flow in pixel space! |
| Apr 30, 2022 | Training Free DEIS 10 steps to generate high-fidelity samples for diffusion model. |
| Jan 30, 2022 | Path Intergral Sampler in ICLR. |
| Sep 28, 2021 | DiffFlow in Neurips and one paper in Automatica. |
| Sep 10, 2021 | My website is alive again after 2 years. 🤕 |
| Apr 30, 2021 | Speed up sparse Multi-marginal optimal transport via belief propagation. |
| Jul 15, 2019 |
Bachelar degree from SJTU.  
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| Jul 15, 2017 | RoboCup Small Size League World Champion. 🏆 |
Acknowledgements: based on the al-folio template by Maruan Al-Shedivat.