Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml
and set future: false
.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction
Published in findings of EMNLP, 2023
In this work, we propose ReLM, a novel framework that leverages the chemical knowledge encoded in language models (LMs) to assist GNNs, thereby enhancing the accuracy of real-world chemical reaction predictions.
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Published in NeurIPS, 2024
In this paper, we summarize previous works on Masked Graph Modeling (MGM) for molecules and propose a novel MGM model, SimSGT, featuring a Simple GNN-based Tokenizer (SGT) and an effective decoding strategy.
ReactXT: Understanding Molecular” Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining
Published in findings of ACL, 2024
In this paper, we propose a novel pretraining paradigm, named ReactXT, to learn molecule-text representations that are contextualized by chemicalreaction contexts. We also introduce a new benchmark dataset, OpenExp, for evaluating the models on the task of experimental procedure prediction.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.