update 8/23

config.toml

@@ -1,6 +1,6 @@
 baseURL = "https://liusulin.github.io/"
 languageCode = "en-us"
-title = "Sulin Liu, Princeton University"
+title = "Sulin Liu, MIT"
 theme = "hugo-ht"
 ignoreFiles = ["\\.Rmd$", "\\.Rmarkdown$", "_files$", "_cache$"]
 footnotereturnlinkcontents = "↩"
@@ -55,7 +55,7 @@ posts = "/posts/:year/:month/:day/:slug/"
     defaultLang = "en"
     MathJaxCDN = "//cdnjs.cloudflare.com/ajax/libs" 
     MathJaxVersion = "2.7.5"
-    favicon = "/media/princeton_logo.png"
+    favicon = "/media/mit_logo.png"
     # Edit by yourself:
     GithubEdit = "https://github.com/liusulin/liusulin.github.io/edit/master/content/"
     copyright = "©"
@@ -67,9 +67,10 @@ posts = "/posts/:year/:month/:day/:slug/"
 
 [params.logo]
   # Change the logo picture as your prefer:
-  url = "/media/princeton_logo_large.png" # you can change it
-  width = 116.0
-  height = 136.0
+  url = "/media/mit_logo.png" # you can change it
+  # adjust the ratio of the logo picture:
+  width = 100.0
+  height = 50.0
 
 
 [params.lang]

content/_index.md

@@ -2,53 +2,65 @@
 title: Home
 ---
 <p align="center">
-<img src="/media/sulin_avatar.jpg" width="450">
+<img src="/media/sulin_avatar.jpeg" width="450">
 </p>
 
 <span style="font-size:2.3em;"> Hi! I'm Sulin. </span>
-<a href="https://github.com/liusulin" style="border:none; position:relative; top:3px; left: 15px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/github.svg" width="25" height="25"></a>         <a href="https://twitter.com/su_lin_liu" style="border:none; position:relative; top:3px; left:20px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/twitter.svg" width="25" height="25"></a>        <a href="https://www.linkedin.com/in/sulin-liu" style="border:none; position:relative; top:3px; left:25px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/linkedin.svg" width="25" height="25"></a>                                                                                                          <a href="https://scholar.google.com/citations?user=s3NlgA4AAAAJ&hl=en" style="border:none; position:relative; left:24px; top:5px;" target="_blank"> <img src="/media/icons/google-scholar.svg" width="30" height="30"></a>                        <a href="/files/cv.pdf" style="border:none; position:relative; left: 24px; top:-0.9px;"><span style="font-size:1.37em;"> CV </span></a>                                                                                                        <a href="mailto:sulinl@princeton.edu" style="border:none; position:relative; left:28px;top:3px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/mail.svg" width="25" height="25"></a> 
+<a href="https://github.com/liusulin" style="border:none; position:relative; top:3px; left: 15px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/github.svg" width="25" height="25"></a>         <a href="https://twitter.com/su_lin_liu" style="border:none; position:relative; top:3px; left:20px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/twitter.svg" width="25" height="25"></a>        <a href="https://www.linkedin.com/in/sulin-liu" style="border:none; position:relative; top:3px; left:25px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/linkedin.svg" width="25" height="25"></a>                                                                                                          <a href="https://scholar.google.com/citations?user=s3NlgA4AAAAJ&hl=en" style="border:none; position:relative; left:24px; top:5px;" target="_blank"> <img src="/media/icons/google-scholar.svg" width="30" height="30"></a>                        <a href="/files/cv.pdf" style="border:none; position:relative; left: 24px; top:-0.9px;"><span style="font-size:1.37em;"> CV </span></a>                                                                                                        <a href="mailto:sulinliu@mit.edu" style="border:none; position:relative; left:28px;top:3px;" target="_blank"> <img src="https://raw.githubusercontent.com/feathericons/feather/master/icons/mail.svg" width="25" height="25"></a> 
 
-I am a PhD student at [Princeton University](https://www.princeton.edu/) working on machine learning, advised by [Ryan P. Adams](https://www.cs.princeton.edu/~rpa/) and [Peter J. Ramadge](https://ee.princeton.edu/people/peter-j-ramadge/). My research focuses on developing deep-learning-enabled probabilistic inference and generative modeling, as well as using them to guide exploration and discovery of knowledge in science and engineering.
+I recently joined [MIT](https://www.mit.edu/) as a postdoctoral research working with [Rafael Gomez Bombarelli](https://gomezbombarelli.mit.edu/) on developing machine learning methods for scientific settings. I received my PhD from [Princeton University](https://www.princeton.edu/), advised by [Ryan P. Adams](https://www.cs.princeton.edu/~rpa/) and [Peter J. Ramadge](https://ee.princeton.edu/people/peter-j-ramadge/). My PhD research focuses on developing deep-learning-enabled probabilistic inference and generative modeling for knowledge discovery.
 
-**I am on the 2022-2023 job market for academic and research positions. If you know positions that might be a good fit, please reach out!**
-
-Previously, I worked with [Sinno Jialin Pan](https://personal.ntu.edu.sg/sinnopan/) on distrbuted (federated) multi-task learning at [Nanyang Technological University in Singapore](https://www.ntu.edu.sg/). Before that, I did my undergraduate in Electrical Engineering at [National University of Singapore](https://nus.edu.sg/).
+Previously, I worked with [Sinno Jialin Pan](https://personal.ntu.edu.sg/sinnopan/) on [distrbuted (federated) multi-task learning](/en/research/optimization "click for more details") at [Nanyang Technological University in Singapore](https://www.ntu.edu.sg/). Before that, I did my undergraduate in Electrical Engineering at [National University of Singapore](https://nus.edu.sg/).
 
 
 ## Research Areas
 
+[**Generative marginal modeling**](/en/research/gen "click for more details")\
+Approximating marginal probabilities of discrete data with neural networks, via a scalable training objective, for both maximum likelihood training and energy-based training (such as modeling Ising models, canonical ensemble of high-entropy alloys).
+
+<p align="center">
+<img src="/media/marginalization_binary_only.png" width="700">
+</p>
+
 [**Deep-learning-enabled probabilistic inference**](/en/research/deep "click for more details")\
 Scaling up probabilistic inference without sacrificing effectiveness, via using deep learning to accelerate the computationally expensive procedure in probabilistic inference.
 
 <p align="center">
 <img src="/media/ahgp.png" width="700">
 </p>
 
-[**ML-guided exploration and discovery**](/en/research/discovery "click for more details")\
-Guiding exploration and optimization based on uncertainty modeling, to search for simple/interpretable solutions of black-box objectives or control complex systems with safety guarantees.
+[**Controllable discovery**](/en/research/discovery "click for more details")\
+Searching for interpretable/simple solutions or learning to control complex systems with safety guarantees.
 
 <p align="center">
 <img src="/media/probf.png" width="350"> <img src="/media/sebo.png" width="350">
 </p>
-
+<!-- 
 [**Scalable optimization for ML**](/en/research/optimization "click for more details")\
-Developing and analyzing scalable optimization methods for machine learning problems.
+Developing and analyzing scalable optimization methods for machine learning problems. -->
 
 
 
 ## Selected Publications
 
-**Sparse Bayesian Optimization**. [Paper](https://arxiv.org/abs/2203.01900) | [Video](https://neurips.cc/virtual/2022/workshop/49994)\
+
+**Generative Marginalization Models**. [Paper]() | [Code]() | [Video](https://icml.cc/virtual/2023/29185)\
+<ins>Sulin Liu</ins>, Peter J. Ramadge, Ryan P. Adams.\
+*Submitted*, 2023.\
+short version at *ICML Workshop on Workshop on Structured Probabilistic
+Inference & Generative Modeling*. (Contributed talk, 6/125)
+
+**Sparse Bayesian Optimization**. [Paper](https://arxiv.org/abs/2203.01900) | [Video](https://slideslive.com/38996665/sparse-bayesian-optimization?ref=search-presentations-sparse+bayesian)\
 <ins>Sulin Liu</ins>\* (equal contr.), Qing Feng*, David Eriksson*, Benjamin Letham, Eytan Bakshy.\
-To appear in *International Conference on Artificial Intelligence and Statistics* (AISTATS), 2023.\
+*International Conference on Artificial Intelligence and Statistics* (AISTATS), 2023.\
 short version at at *NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems*. (Contributed talk, top five selected)
 
 
 
-**ProBF : Probabilistic Safety Certificates with Barrier Functions**. [Paper](https://arxiv.org/abs/2112.12210) | [Code](https://github.com/athindran/ProBF)\
+<!-- **ProBF : Probabilistic Safety Certificates with Barrier Functions**. [Paper](https://arxiv.org/abs/2112.12210) | [Code](https://github.com/athindran/ProBF)\
 Athindran Ramesh Kumar*, <ins>Sulin Liu</ins>\*, Jaime F. Fisac, Ryan P. Adams, Peter J. Ramadge.\
 *Preprint*, 2021.\
-short version at *NeurIPS Safe and Robust Control of Uncertain Systems Workshop*.
+short version at *NeurIPS Safe and Robust Control of Uncertain Systems Workshop*. -->
 
 
 
@@ -58,8 +70,8 @@ short version at *NeurIPS Safe and Robust Control of Uncertain Systems Workshop*
 short version at *7th ICML Workshop on Automated Machine Learning*. (Spotlight talk)
 
 
-
+<!-- 
 **Distributed Multi-Task Relationship Learning**.
 [Paper](https://arxiv.org/abs/1612.04022) | [Video](https://www.youtube.com/watch?v=az3jbBl-zXI)\
 <ins>Sulin Liu</ins>, Sinno Jialin Pan, Qirong Ho.\
-*SIGKDD Conference on Knowledge Discovery and Data Mining* (KDD), 2017. 
+*SIGKDD Conference on Knowledge Discovery and Data Mining* (KDD), 2017.  -->

content/en/publications/_index.md

@@ -5,7 +5,13 @@ type :
 
 # Publications
 
-**Sparse Bayesian Optimization**. [Paper](https://arxiv.org/abs/2203.01900) | [Video](https://neurips.cc/virtual/2022/workshop/49994)\
+**Generative Marginalization Models**. [Paper]() | [Code]() | [Video](https://icml.cc/virtual/2023/29185)\
+<ins>Sulin Liu</ins>, Peter J. Ramadge, Ryan P. Adams.\
+*Submitted*, 2023.\
+short version at *ICML Workshop on Workshop on Structured Probabilistic
+Inference & Generative Modeling*. (Contributed talk, 6/125)
+
+**Sparse Bayesian Optimization**. [Paper](https://arxiv.org/abs/2203.01900) | [Video](https://slideslive.com/38996665/sparse-bayesian-optimization?ref=search-presentations-sparse+bayesian)\
 <ins>Sulin Liu</ins>* (equal contr.), Qing Feng*, David Eriksson*, Benjamin Letham, Eytan Bakshy.\
 *International Conference on Artificial Intelligence and Statistics* (AISTATS), 2023.