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Jiatong Li — AI for Molecular Science

Researcher building reliable language models for molecular reasoning and discovery.

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Future Blog Post

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Published: January 01, 2199

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published: August 14, 2015

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

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Published: August 14, 2014

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Blog Post number 2

less than 1 minute read

Published: August 14, 2013

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

less than 1 minute read

Published: August 14, 2012

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 item number 1

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Portfolio item number 2

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Two Generative Design Methods of Hospital Operating Department Layouts Based on Healthcare Systematic Layout Planning and Generative Adversarial Network

Published in Journal of Shanghai Jiaotong University (Science), 2021

Two intelligent design processes based on healthcare systematic layout planning (HSLP) and generative adversarial network (GAN) are proposed in this paper, which aim to solve the generation problem of the plane functional layout of the operating departments (ODs) of general hospitals.

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Generation of Hospital Emergency Department Layouts Based on Generative Adversarial Networks

Published in Journal of Building Engineering, 2021

IF 7.4

This paper takes the functional layout of the emergency departments (EDs) of general hospitals as the research object, combines the hierarchical design concepts and proposes an intelligent functional layout generation method for EDs. It aims to explore the application of intelligent algorithms in architectural design and build an intelligent design method to solve the generation problem of ED layouts.

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Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations

Published in arXiv preprint, 2022

In order to expand the information that Pretrained Language Models can utilize, we encode topic and dialogue history information using certain prompts with multiple channels of Fusion-in-Decoder (FiD) and explore the influence of three different channel settings.

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Improving Chinese Named Entity Recognition by Search Engine Augmentation

Published in arXiv preprint, 2022

We propose a neural-based approach to perform semantic augmentation using external knowledge from search engine for Chinese NER.

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Generative Diffusion Models on Graphs: Methods and Applications

Published in IJCAI 2023, 2023

CCF A

In this paper, we first provide a comprehensive overview of generative diffusion models on graphs, In particular, we review representative algorithms for three variants of graph diffusion models, i.e., Score Matching with Langevin Dynamics (SMLD), Denoising Diffusion Probabilistic Model (DDPM), and Score-based Generative Model (SGM). Then, we summarize the major applications of generative diffusion models on graphs with a specific focus on molecule and protein modeling. Finally, we discuss promising directions in generative diffusion models on graph-structured data.

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Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing

Published in ACL 2023, 2023

CCF A

Narrative Framing

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MFE-NER: Multi-feature Fusion Embedding for Chinese Named Entity Recognition

Published in CCL 2024, 2024

CCF C

TIn this paper, we propose a new method, Multi-Feature Fusion Embedding for Chinese Named Entity Recognition (MFE-NER), to strengthen the language pattern of Chinese and handle the character substitution problem in Chinese Named Entity Recognition.

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