pub

_bibliography/papers.bib

@@ -3,6 +3,19 @@
 
 @string{aps = {American Physical Society,}}
 
+
+@inproceedings{
+  hao2024efficient,
+  abbr={Dissertation},
+  title={Efficient Uncertainty Quantification in Transformers}, 
+  author={Yiduo Hao},
+  year={2024},
+  booktitle={Dissertation},
+  preview={Dissertation.jpg},
+  dimensions={true},
+  selected={true}
+}
+
 @inproceedings{
   hao2023bootstrapping,
   abbr={CVPR},

_pages/about.md

@@ -23,6 +23,6 @@ social: true # includes social icons at the bottom of the page
 
 <!-- Hi! I am a first-year CIS Ph.D. student at the University of Pennsylvania.  -->
 
-Hi! I finished my undergraduate studies at the University of Cambridge, supervised by [Prof. Jose Miguel Hernandez-Lobato](https://jmhl.org/) in the [Machine Learning Group](https://mlg.eng.cam.ac.uk/). I was a research intern advised by [Prof. Haitham Hassanieh](https://people.epfl.ch/haitham.alhassanieh/?lang=en) at EPFL and [Prof. Saurabh Gupta](https://saurabhg.web.illinois.edu/) at UIUC. Before that, I was fortunate to intern in the Visual Computing Group at Microsoft Research Asia (MSRA), collaborating with [Dr. Yuhui Yuan](https://www.microsoft.com/en-us/research/people/yuyua/) and [Dr. Han Hu](https://ancientmooner.github.io/). 
+Hi! I finished my undergraduate studies at the University of Cambridge, supervised by [Prof. Jose Miguel Hernandez-Lobato](https://jmhl.org/) in the [Machine Learning Group](https://mlg.eng.cam.ac.uk/). Previously, I was a research intern advised by [Prof. Haitham Hassanieh](https://people.epfl.ch/haitham.alhassanieh/?lang=en) at EPFL and [Prof. Saurabh Gupta](https://saurabhg.web.illinois.edu/) at UIUC. Before that, I was fortunate to intern in the Visual Computing Group at Microsoft Research Asia (MSRA), collaborating with [Dr. Yuhui Yuan](https://www.microsoft.com/en-us/research/people/yuyua/) and [Dr. Han Hu](https://ancientmooner.github.io/). 
 
-My research area lies broadly in Computer Vision and Machine Learning. Specifically, I am interested in 2D/3D Computer Vision, Multimodal Learning and Generative Models. I am also excited about their applications to AI Agents, Robotics, and Autonomous Driving. 
+My research area lies broadly in Computer Vision and Machine Learning. Specifically, I am interested in 3D Computer Vision, Multimodal Learning and Generative Models. I am also excited about their applications to AI Agents, Robotics, and Autonomous Driving.