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@@ -37,12 +37,13 @@ misc: true # includes a list of miscellaneous
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<!-- Hung-Yueh Chiang is a final-year Ph.D. student in the [Energy-Aware Computing Group (EnyAC)](https://enyac.org/) at The University of Texas at Austin (UT), advised by [Prof. Diana Marculescu](https://users.ece.utexas.edu/~dianam/). Before joining EnyAC, he was a machine learning engineer at XYZ Robotics, a startup in Shanghai. From 2016 to 2018, he collaborated with [Prof. Winston Hsu](https://winstonhsu.info/) on 3D point cloud learning and earned his M.S. degree from National Taiwan University (NTU), Taipei, Taiwan. He completed his B.S. degree at National Yang Ming Chiao Tung University (NYCU, formerly National Chiao Tung University) in Hsinchu, Taiwan, in 2015. During his final semester at NYCU, he participated in an exchange program at ETH Zürich. -->
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Hung-Yueh is a Senior Deep Learning Software Engineer on the Inference and Model Optimization team at NVIDIA. Prior to joining NVIDIA, he obtained his Ph.D. degree at The University of Texas at Austin (UT), advised by [Prof. Diana Marculescu](https://users.ece.utexas.edu/~dianam/). He completed his M.S. degree from National Taiwan University (NTU) and a B.S. degree at National Yang Ming Chiao Tung University.
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<br>
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<pstyle="margin-bottom: 0;">I’m interested in building efficient agentic AI systems <b><i>for everyone on every device</i></b>. My research interests include:</p>
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<ulstyle="margin-top: 0;">
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<li><b>Quantization and compression:</b> Weight and KV-cache compression with new floating types for faster inference</li>
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<li><b>Efficient agentic system design:</b> Lightweight architectures and scheduling strategies for multi-step reasoning agents</li>
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<li><b>On-device agentic systems:</b> Deploying capable AI agents on resource-constrained edge devices</li>
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</ul>
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<!-- Hung-Yueh Chiang is a final-year Ph.D. student in the [Energy-Aware Computing Group (EnyAC)](https://enyac.org/) at The University of Texas at Austin (UT), advised by [Prof. Diana Marculescu](https://users.ece.utexas.edu/~dianam/). Before joining EnyAC, he was a machine learning engineer at XYZ Robotics, a startup in Shanghai. From 2016 to 2018, he collaborated with [Prof. Winston Hsu](https://winstonhsu.info/) on 3D point cloud learning and earned his M.S. degree from National Taiwan University (NTU), Taipei, Taiwan. He completed his B.S. degree at National Yang Ming Chiao Tung University (NYCU, formerly National Chiao Tung University) in Hsinchu, Taiwan, in 2015. During his final semester at NYCU, he participated in an exchange program at ETH Zürich. -->
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