Sheng Wang

According to our database, Sheng Wang authored at least 49 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Poisoning medical knowledge using large language models.

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

A bioactivity foundation model using pairwise meta-learning.

Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.

Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun

CoRR, 2024

OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis.

Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang

CoRR, 2024

Panacea: A foundation model for clinical trial search, summarization, design, and recruitment.

Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun

CoRR, 2024

BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once.

Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang

CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

CoRR, 2024

T-Rex: Text-assisted Retrosynthesis Prediction.

Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang

CoRR, 2024

Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model.

Tangqi Fang, Yifeng Liu, Addie Woicik, Minsi Lu, Anupama Jha, Xiao Wang, Gang Li, Borislav H. Hristov, Zixuan Liu, Hanwen Xu, William S. Noble, Sheng Wang

Bioinform., 2024

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery.

Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction.

Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Extrapolating heterogeneous time-series gene expression data using Sagittarius.

Addie Woicik, Mingxin Zhang, Janelle Chan, Jianzhu Ma, Sheng Wang

Nat. Mac. Intell., July, 2023

POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study.

Lu Yang, Sheng Wang, Russ B. Altman

J. Am. Medical Informatics Assoc., January, 2023

Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling.

Addie Woicik, Mingxin Zhang, Hanwen Xu, Sara Mostafavi, Sheng Wang

Bioinform., 2023

Supervised biological network alignment with graph neural networks.

Kerr Ding, Sheng Wang, Yunan Luo

Bioinform., 2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.

Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce.

Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE International Conference on Big Data, 2023

GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction.

Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang

Bioinform., 2022

ProTranslator: Zero-Shot Protein Function Prediction Using Textual Description.

Hanwen Xu, Sheng Wang

Proceedings of the Research in Computational Molecular Biology, 2022

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds.

Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han

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.

Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang

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.

Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph-in-Graph Network for Automatic Gene Ontology Description Generation.

Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang

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.

Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks.

Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Graph Mutual Learning for Cross-domain Recommendation.

Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

Textomics: A Dataset for Genomics Data Summary Generation.

Mu-Chun Wang, Zixuan Liu, Sheng Wang

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.

Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Manoj Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang

CoRR, 2021

Disease gene prediction with privileged information and heteroscedastic dropout.

Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma

Bioinform., 2021

Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation.

Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun

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.

Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HYPON: embedding biomedical ontology with entity sets.

Zhuoyan Li, Sheng Wang

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Gaussian embedding for large-scale gene set analysis.

Sheng Wang, Emily R. Flynn, Russ B. Altman

Nat. Mach. Intell., 2020

DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.

Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

GRep: Gene Set Representation via Gaussian Embedding.

Sheng Wang, Emily R. Flynn, Russ B. Altman

Proceedings of the Research in Computational Molecular Biology, 2019

2018

VisAGE: Integrating external knowledge into electronic medical record visualization.

Edward W. Huang, Sheng Wang, ChengXiang Zhai

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.

Edward W. Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

Framing Electronic Medical Records as Polylingual Documents in Query Expansion.

Edward W. Huang, Sheng Wang, Doris J. Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the AMIA 2017, 2017

2016

Early identification of adverse drug reactions from search log data.

Ryen W. White, Sheng Wang, Apurv Pant, Rave Harpaz, Pushpraj Shukla, Walter Sun, William DuMouchel, Eric Horvitz

J. Biomed. Informatics, 2016

A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records.

Sheng Wang, Edward W. Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine.

Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2014

SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums.

Sheng Wang, Yanen Li, Duncan C. Ferguson, Chengxiang Zhai

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis.

Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Measuring Strength of Ties in Social Network.

Dakui Sheng, Tao Sun, Sheng Wang, Ziqi Wang, Ming Zhang

Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Supervised Topic Model with Consideration of User and Item.

Sheng Wang, Fangtao Li, Ming Zhang

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

Please spread: recommending tweets for retweeting with implicit feedback.

Sheng Wang, Xiaobo Zhou, Ziqi Wang, Ming Zhang

Proceedings of the 2012 workshop on Data-driven User Behavioral Modelling and Mining from Social Media, 2012