Yang Yang
Deep Learning Researcher/Engineer
I work as Sr. Staff Deep Learning Engineer at Qualcomm AI Research in San Diego. My research interests include deep generative models, neural data compression (image/video/speech compression), and machine learning for combinatorial optimization (e.g., graph-level compiler optimization). I am passionate about designing deep learning solutions to challenging problems and deploying them to edge devices.
I received my Ph.D. from the Ohio State University in 2015 on wireless networking. Before joining AI Research, I worked on wireless physical layer design (reference signal, channel estimation, tracking loop), channel coding design, and standardization for 5G NR (patent).
news
Mar 18, 2022 | Completed Chapter 2 Normalizing Flows of our deep generative models book |
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Mar 5, 2022 | Post Quantization for Neural Networks is up! |
Aug 1, 2021 | My research focus is transitioned from neural data compression to MLCO. |
Jun 19, 2021 | Checkout my team’s demo: Real-time on-device neural video decoding (CVPR 2021); More |
May 7, 2021 | Co-organized ICLR 2021 Neural Compression Workshop |
Apr 3, 2021 | Post on how to enforce Lipschitz constant in neural networks is up! |