update

_config.yml

@@ -57,7 +57,7 @@ author:
   keybase          : # Username
   instagram        : # Username
   lastfm           : # Username
-  linkedin         : meng.zhang@ntu.edu.sg
+  linkedin         : "linkedin.com/in/meng-zhang-309b7a1b4"
   mastodon         : # URL
   medium           : # URL
   pinterest        : # Username

_data/navigation.yml

@@ -1,22 +1,22 @@
 # main links links
 main:
-  - title: "Publications"
-    url: /publications/
+  # - title: "Publications"
+  #   url: /publications/
 
-  - title: "Talks"
-    url: /talks/    
+  # - title: "Talks"
+  #   url: /talks/    
 
-  - title: "Teaching"
-    url: /teaching/    
+  # - title: "Teaching"
+  #   url: /teaching/    
 
-  - title: "Portfolio"
-    url: /portfolio/
+  # - title: "Portfolio"
+  #   url: /portfolio/
 
-  - title: "Blog Posts"
-    url: /year-archive/
+  # - title: "Blog Posts"
+  #   url: /year-archive/
 
-  - title: "CV"
-    url: /cv/
+  # - title: "CV"
+  #   url: /cv/
 
-  - title: "Guide"
-    url: /markdown/
+  # - title: "Guide"
+  #   url: /markdown/

_pages/about.md

@@ -1,6 +1,6 @@
 ---
 permalink: /
-title: "About Me"
+title: "Meng Zhang"
 excerpt: "About Me"
 author_profile: true
 redirect_from: 
@@ -10,4 +10,29 @@ redirect_from:
 
 I am currently a Ph.D. candidate under the supervision of [Prof. Tianwei Zhang](https://personal.ntu.edu.sg/tianwei.zhang/) at S-Lab, [College of Computing and Data Science of Nanyang Technological University](https://www.ntu.edu.sg/computing), Singapore. Before that, I received my M.Sc. degree in Electrical Engineering from [National University of Singapore](https://www.nus.edu.sg/) in 2022 and my B.Eng. degree in Information Engineering from [Zhejiang University](https://www.zju.edu.cn/english/) in 2020. 
 
-My research interest includes Distributed Training, Systems for Graph Learning and Machine Learning for Systems.
+My research interest includes Distributed Training, Systems for Graph Learning and Machine Learning for Systems.
+
+
+Research Interests
+======
+- Distributed Training
+- Systems for Graph Learning
+- Machine Learning for Systems
+
+Publications
+======
+<p>
+  <b>TorchGT: A Holistic System for Large-scale Graph Transformer Training</b><br>
+  <b>Meng Zhang</b><sup>*</sup>, Jie Sun<sup>*</sup>, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang<br>
+  <i>Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (<b>SC</b>), 2024</i> &nbsp;<em class="blue"></em><br>
+  <a href="https://sc24.conference-program.com/presentation/?id=pap224&sess=sess396" target="_blank">[Paper]</a>
+</p>
+
+
+<!-- <p>
+  <b>SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models</b><br>
+  <b>Haoying Li</b>, Yifan Yang, Meng Chang, Shiqi Chen, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen.<br>
+  <i>Neurocomputing, 2022</i><br>
+  <a href="https://www.sciencedirect.com/science/article/pii/S0925231222000522" target="_blank">[Paper]</a>
+  <a href="https://github.com/LeiaLi/SRDiff" target="_blank">[Project Page]</a><br>
+</p> -->