Yuhao Wang was born in China. She's currently a Ph.D. student under the supervision of Dr. Arnab Bhattacharyya 's group, in school of computing, National University of Singapore on Artificial Intelligence and Causality. In spring 2022, she served as a visiting researcher with the Causality program at the Simons Institute, UC Berkeley . Between 2018 and 2020, funded by KPN, she worked as a researcher in Professor Mykola Pechenizkiy 's group on the Deep Learning in Core and Edge (DLCE) project at the Eindhoven University of Technology. She received her master's degree under the supervison of Dr. Ivan Wang-Hei Ho at the Hong Kong Polytechnic University, and her bachelor’s degree in Electronics Science and Technology from Northwest University in China.
Yuhao is broadly interested in discover causal structure from observational data leveraging modern machine learning methods; drawing valid causal conclusions from data is impeded by various factors, such as the presence of unmeasured confounders, missing data, and measurement error; estimating causal effects from finite samples. Her research works are available at her Google Scholar
| Aug 5 , 2022 | I am a program committee member for the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) |
| July 20, 2022 | New paper: Learning High-dimensional Gaussians from Censored Data , code implementation is available here |
| Mar 22, 2022 | Our paper Learning Sparse Fixed-Structure Gaussian Bayesian Networks accepted by AISTATS |
| Feb 18, 2022 | Our paper Identifiability of AMP Chain Graph Models accepted by AAAI |
| Aug 20, 2021 | Started as a PhD student in NUS, Singapore. |
The 25th International Conference on Artificial Intelligence and Statistics, 2022
The Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
AAAI StarAI Workshop, 2020.
IEEE 89th Vehicular Technology Conference (VTC2019-Spring), 2019.
IEEE 29th Intelligent Vehicles Symposium (IV), 2018.
IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017.
Feel free to contact me if you are interested in my work or want to have some discussions with me.
