diff --git a/_pages/main.md b/_pages/main.md
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--- a/_pages/main.md
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@@ -28,6 +28,10 @@ I am/was a Teaching Assistant for the following courses:
 - Autumn 2021: *Applicable Maths*. Lectured by Dr [James Martin](https://www.imperial.ac.uk/people/james.martin).
 
 ## News
+- [08/2024] From 12th to 16th August 2024, I will attend the 11th Bernoulli-IMS World Congress in Probability and Statistics, and present our recent preprint [On the Robustness of Kernel Goodness-of-Fit Tests](https://www.arxiv.org/abs/2408.05854), a joint work with Dr [François-Xavier Briol](https://fxbriol.github.io/). Come and join our session on Wednesday 14th at 11am if you are interested!
+
+- [08/2024] Our new preprint [On the Robustness of Kernel Goodness-of-Fit Tests](https://www.arxiv.org/abs/2408.05854) is out! This is a joint work with Dr [François-Xavier Briol](https://fxbriol.github.io/).
+
 - [12/2023] From 17th to 21st, I will attend the 2023 IMS International Conference on Statistics and Data Science (ICSDS) in Lisbon, where I will give a contributed talk on our COLT paper [A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing](https://proceedings.mlr.press/v195/huang23a.html).
 
 - [10/2023] For this academic year, I will be visiting the [Fundamentals of Statistical Machine Learning](https://fsml-ucl.github.io/) research group, co-led by Dr [François-Xavier Briol](https://fxbriol.github.io/) and Dr [Jeremias Knoblauch](https://jeremiasknoblauch.github.io/). Looking forward to an engaging experience with the amazing researchers in the group!
diff --git a/_pages/research.html b/_pages/research.html
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@@ -17,6 +17,13 @@
 
 
 <h2>Publication</h2> 
+<b>Liu, X.</b>, Briol, F-X. (2024). 
+<text class="pub-title">On the Robustness of Kernel Goodness-of-Fit Tests</text>. ICML 2023.
+<br>
+<button type="button" class="btn btn-primary btn-sm" onclick=" window.open('https://arxiv.org/abs/2408.05854','_blank')">Paper</button>
+<br>
+<br>
+
 <b>Liu, X.</b>, Duncan, A. B., Gandy, A. (2023). 
 <text class="pub-title">Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy</text>. ICML 2023.
 <br>