Sheng Wang

Affiliations:
  • University of Washington, Seattle, WA, USA
  • Stanford University, CA, USA (former)
  • University of Illinois at Urbana-Champaign, IL, USA (Ph.D.)


According to our database1, Sheng Wang authored at least 31 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Supervised biological network alignment with graph neural networks.
Bioinform., 2023

2022
scPretrain: multi-task self-supervised learning for cell-type classification.
Bioinform., 2022

ProTranslator: Zero-Shot Protein Function Prediction Using Textual Description.
Proceedings of the Research in Computational Molecular Biology, 2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph-in-Graph Network for Automatic Gene Ontology Description Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors.
Proceedings of the International Joint Conference on Neural Networks, 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Graph Mutual Learning for Cross-domain Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Textomics: A Dataset for Genomics Data Summary Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates.
CoRR, 2021

Disease gene prediction with privileged information and heteroscedastic dropout.
Bioinform., 2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HYPON: embedding biomedical ontology with entity sets.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020
Gaussian embedding for large-scale gene set analysis.
Nat. Mach. Intell., 2020

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
GRep: Gene Set Representation via Gaussian Embedding.
Proceedings of the Research in Computational Molecular Biology, 2019

2018
VisAGE: Integrating external knowledge into electronic medical record visualization.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Framing Electronic Medical Records as Polylingual Documents in Query Expansion.
Proceedings of the AMIA 2017, 2017

2016
Early identification of adverse drug reactions from search log data.
J. Biomed. Informatics, 2016

A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014
SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Measuring Strength of Ties in Social Network.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Supervised Topic Model with Consideration of User and Item.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Please spread: recommending tweets for retweeting with implicit feedback.
Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2012


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