Gang Li

Orcid: 0000-0002-9490-2990

Affiliations:
  • Google Research, Mountain View, CA, USA
  • University of Delaware, Department of Computer and Information Sciences, Newark, DE, USA (PhD 2018)


According to our database1, Gang Li authored at least 25 papers between 2014 and 2023.

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Bibliography

2023
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion.
Proceedings of the International Conference on Machine Learning, 2023

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Zero-Shot Language Agent for Computer Control with Structured Reflection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enabling Conversational Interaction with Mobile UI using Large Language Models.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
MUG: Interactive Multimodal Grounding on User Interfaces.
CoRR, 2022

Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
VUT: Versatile UI Transformer for Multi-Modal Multi-Task User Interface Modeling.
CoRR, 2021

Creating User Interface Mock-ups from High-Level Text Descriptions with Deep-Learning Models.
CoRR, 2021

HelpViz: Automatic Generation of Contextual Visual MobileTutorials from Text-Based Instructions.
CoRR, 2021

Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning.
Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

HelpViz: Automatic Generation of Contextual Visual Mobile Tutorials from Text-Based Instructions.
Proceedings of the UIST '21: The 34th Annual ACM Symposium on User Interface Software and Technology, 2021

Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Spacewalker: Rapid UI Design Exploration Using Lightweight Markup Enhancement and Crowd Genetic Programming.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
iPTMnet: an integrated resource for protein post-translational modification network discovery.
Nucleic Acids Res., 2018

iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature.
Database J. Biol. Databases Curation, 2018

2017
UD_GU_BioTM at TREC 2017: Precision Medicine Track.
Proceedings of The Twenty-Sixth Text REtrieval Conference, 2017

Noise Reduction Methods for Distantly Supervised Biomedical Relation Extraction.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016
Scalable Text Mining Assisted Curation of PTM Proteoforms in the Protein Ontology.
Proceedings of the Joint International Conference on Biological Ontology and BioCreative, 2016

2015
RLIMS-P 2.0: A Generalizable Rule-Based Information Extraction System for Literature Mining of Protein Phosphorylation Information.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

miRTex: A Text Mining System for miRNA-Gene Relation Extraction.
PLoS Comput. Biol., 2015

Construction of phosphorylation interaction networks by text mining of full-length articles using the eFIP system.
Database J. Biol. Databases Curation, 2015

2014
RLIMS-P: an online text-mining tool for literature-based extraction of protein phosphorylation information.
Database J. Biol. Databases Curation, 2014

Knowledge Representation of Protein PTMs and Complexes in the Protein Ontology: Application to Multi-Faceted Disease Analysis.
Proceedings of the 5th International Conference on Biomedical Ontology, 2014


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