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ORCIDSheng Wang 0012
Person information
- affiliation: University of Washington, Seattle, WA, USA
- affiliation (former): Stanford University, CA, USA
- affiliation (Ph.D.): University of Illinois at Urbana-Champaign, IL, USA
Other persons with the same name
- Sheng Wang — disambiguation page
- Sheng Wang 0001
![[0000-0003-4210-1670]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4210-1670")
— Toyota Technological Institute at Chicago, IL, USA (and 1 more) - Sheng Wang 0002 — Coventry University, UK
- Sheng Wang 0003 — University of Technology at Sydney, NSW, Australia
- Sheng Wang 0004 — Hunan Institute of Technology, Hengyang, China
- Sheng Wang 0005 — Zhejiang University, Institute of VLSI Design, Hangzhou, China
- Sheng Wang 0006 — University of Electronic Science and Technology of China, Key Lab of Broadband Optical Fiber Transmission and Communication Networks, Chengdu, China
- Sheng Wang 0007 — Wuhan University, School of Computer Science, Wuhan, China (and 2 more)
- Sheng Wang 0008 — Shandong University, School of Mathematics and Statistics, Weihai, China
- Sheng Wang 0009 — Oklahoma State University, School of Electrical and Computer Engineering, Stillwater, OK, USA
- Sheng Wang 0010 — Tsinghua University, Department of Precision Instruments, Beijing, China
- Sheng Wang 0011 — Alibaba Cloud, Singapore (and 2 more)
- Sheng Wang 0013 — Huazhong University of Science and Technology, Wuhan, Hubei, China
- Sheng Wang 0014 — Shanghai Jiao Tong University, School of Biomedical Engineering, Institute for Medical Imaging Technology, Shanghai, China (and 1 more)
- Sheng Wang 0015 — Zhengzhou University of Aeronautics, China (and 2 more)
- Sheng Wang 0016 — Wenzhou Medical University, Eye Hospital, Wenzhou, China
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2020 – today
- 2024
[i11]Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han:
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery. CoRR abs/2406.10833 (2024)- [i10]Jiacheng Lin, Hanwen Xu, Zifeng Wang, Sheng Wang, Jimeng Sun:
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment. CoRR abs/2407.11007 (2024) - 2023
- [j6]Kerr Ding, Sheng Wang, Yunan Luo:
Supervised biological network alignment with graph neural networks. Bioinform. 39(Supplement-1): 465-474 (2023) - [j5]Lu Yang, Sheng Wang, Russ B. Altman:
POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study. J. Am. Medical Informatics Assoc. 30(2): 245-255 (2023) - [c26]Hanwen Xu, Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang:
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction. AAAI 2023: 10576-10584 - 2022
- [j4]Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang:
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38(6): 1607-1614 (2022) - [c25]Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang:
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation. AAAI 2022: 11449-11458 - [c24]Mu-Chun Wang, Zixuan Liu, Sheng Wang:
Textomics: A Dataset for Genomics Data Summary Generation. ACL (1) 2022: 4878-4891 - [c23]Yifan Wang, Yongkang Li, Shuai Li, Weiping Song, Jiangke Fan, Shan Gao, Ling Ma, Bing Cheng, Xunliang Cai, Sheng Wang, Ming Zhang:
Deep Graph Mutual Learning for Cross-domain Recommendation. DASFAA (2) 2022: 298-305 - [c22]Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang:
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks. EMNLP 2022: 5110-5122 - [c21]Yifan Wang, Jianhao Shen, Yiping Song, Sheng Wang, Ming Zhang:
HE-SNE: Heterogeneous Event Sequence-based Streaming Network Embedding for Dynamic Behaviors. IJCNN 2022: 1-8 - [c20]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang:
Graph-in-Graph Network for Automatic Gene Ontology Description Generation. KDD 2022: 1060-1068 - [c19]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. MICCAI (1) 2022: 461-470 - [c18]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. NAACL-HLT 2022: 279-290 - [c17]Junwei Yang, Zequn Liu, Ming Zhang, Sheng Wang:
Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation. NAACL-HLT (Findings) 2022: 1441-1454 - [c16]Hanwen Xu, Sheng Wang:
ProTranslator: Zero-Shot Protein Function Prediction Using Textual Description. RECOMB 2022: 279-294 - [i9]Yu Zhang, Yu Meng, Xuan Wang, Sheng Wang, Jiawei Han:
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds. CoRR abs/2205.01845 (2022) - [i8]Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Adelaide Woicik, Sheng Wang:
Graph-in-Graph Network for Automatic Gene Ontology Description Generation. CoRR abs/2206.05311 (2022) - [i7]Mehmet Saygin Seyfioglu, Zixuan Liu, Pranav Kamath, Sadjyot Gangolli, Sheng Wang, Thomas J. Grabowski, Linda G. Shapiro:
Brain-Aware Replacements for Supervised Contrastive Learning in Detection of Alzheimer's Disease. CoRR abs/2207.04574 (2022) - [i6]Lu Yang, Sheng Wang, Russ B. Altman:
POPDx: An Automated Framework for Patient Phenotyping across 392, 246 Individuals in the UK Biobank Study. CoRR abs/2208.11223 (2022) - [i5]Zequn Liu, Kefei Duan, Junwei Yang, Hanwen Xu, Ming Zhang, Sheng Wang:
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks. CoRR abs/2210.07488 (2022) - 2021
- [j3]Juan Shu, Yu Li, Sheng Wang, Bowei Xi, Jianzhu Ma:
Disease gene prediction with privileged information and heteroscedastic dropout. Bioinform. 37(Supplement): 410-417 (2021) - [c15]Zhuoyan Li, Sheng Wang:
HYPON: embedding biomedical ontology with entity sets. BCB 2021: 56:1-56:7 - [c14]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. EMNLP (1) 2021: 3453-3463 - [c13]Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun:
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. NeurIPS 2021: 16266-16279 - [i4]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CoRR abs/2106.10879 (2021) - [i3]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. CoRR abs/2109.04018 (2021) - [i2]Fenglin Liu, Chenyu You, Xian Wu, Shen Ge, Sheng Wang, Xu Sun:
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation. CoRR abs/2111.04318 (2021) - [i1]Jiayou Zhang, Zhirui Wang, Shizhuo Zhang, Megh Manoj Bhalerao, Yucong Liu, Dawei Zhu, Sheng Wang:
GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates. CoRR abs/2112.03002 (2021) - 2020
- [j2]Sheng Wang, Emily R. Flynn, Russ B. Altman:
Gaussian embedding for large-scale gene set analysis. Nat. Mach. Intell. 2(7): 387-395 (2020) - [c12]Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang:
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. CIKM 2020: 1605-1614
2010 – 2019
- 2019
- [c11]Sheng Wang, Emily R. Flynn, Russ B. Altman:
GRep: Gene Set Representation via Gaussian Embedding. RECOMB 2019: 318-319 - 2018
- [c10]Edward W. Huang, Sheng Wang, ChengXiang Zhai:
VisAGE: Integrating external knowledge into electronic medical record visualization. PSB 2018: 578-589 - 2017
- [c9]Edward W. Huang, Sheng Wang, Doris J. Lee, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai:
Framing Electronic Medical Records as Polylingual Documents in Query Expansion. AMIA 2017 - [c8]Edward W. Huang, Sheng Wang, Bingxue Li, Ran Zhang, Baoyan Liu, Runshun Zhang, Jie Liu, Xuezhong Zhou, Hongsheng Lin, ChengXiang Zhai:
HEMnet: Integration of Electronic Medical Records with Molecular Interaction Networks and Domain Knowledge for Survival Analysis. BCB 2017: 378-387 - 2016
- [j1]Ryen W. White, Sheng Wang, Apurv Pant, Rave Harpaz, Pushpraj Shukla, Walter Sun, William DuMouchel, Eric Horvitz:
Early identification of adverse drug reactions from search log data. J. Biomed. Informatics 59: 42-48 (2016) - [c7]Edward W. Huang, Sheng Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai:
PaReCat: Patient Record Subcategorization for Precision Traditional Chinese Medicine. BCB 2016: 443-452 - [c6]Sheng Wang, Edward W. Huang, Runshun Zhang, Xiaoping Zhang, Baoyan Liu, Xuezhong Zhou, ChengXiang Zhai:
A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records. BIBM 2016: 411-418 - 2014
- [c5]Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang:
SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis. AAAI 2014: 1636-1642 - [c4]Sheng Wang, Yanen Li, Duncan C. Ferguson, Chengxiang Zhai:
SideEffectPTM: an unsupervised topic model to mine adverse drug reactions from health forums. BCB 2014: 321-330 - 2013
- [c3]Sheng Wang, Fangtao Li, Ming Zhang:
Supervised Topic Model with Consideration of User and Item. AAAI (Late-Breaking Developments) 2013 - [c2]Dakui Sheng, Tao Sun, Sheng Wang, Ziqi Wang, Ming Zhang:
Measuring Strength of Ties in Social Network. APWeb 2013: 292-300 - 2012
- [c1]Sheng Wang, Xiaobo Zhou, Ziqi Wang, Ming Zhang:
Please spread: recommending tweets for retweeting with implicit feedback. DUBMMSM 2012: 19-22
Coauthor Index
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last updated on 2024-09-27 00:33 CEST by the dblp team
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