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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://dblp.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
- Sheng Wang 0017 — Hong Kong University of Science and Technology, Division of Emerging Interdisciplinary Areas, EMIA, Hong Kong
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2020 – today
- 2024
[j11]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:
Enhancing Hi-C contact matrices for loop detection with Capricorn: a multiview diffusion model. Bioinform. 40(Supplement_1): i471-i480 (2024)- [j10]Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang:
A bioactivity foundation model using pairwise meta-learning. Nat. Mac. Intell. 6(8): 962-974 (2024) - [j9]Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang:
Poisoning medical knowledge using large language models. Nat. Mac. Intell. 6(10): 1156-1168 (2024) - [c31]Ran Zhang, Xuezhi Wang, Sheng Wang, Kunpeng Liu, Yuanchun Zhou, Pengfei Wang:
H2D: Hierarchical Heterogeneous Graph Learning Framework for Drug-Drug Interaction Prediction. CIKM 2024: 4283-4287 - [c30]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. EMNLP 2024: 8783-8817 - [i18]Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang:
T-Rex: Text-assisted Retrosynthesis Prediction. CoRR abs/2401.14637 (2024) - [i17]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:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i16]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:
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR abs/2405.12971 (2024) - [i15]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) - [i14]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) - [i13]Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang:
OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. CoRR abs/2408.11227 (2024) - [i12]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:
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR abs/2410.11235 (2024) - 2023
- [j8]Kerr Ding, Sheng Wang, Yunan Luo:
Supervised biological network alignment with graph neural networks. Bioinform. 39(Supplement-1): 465-474 (2023) - [j7]Addie Woicik, Mingxin Zhang, Hanwen Xu, Sara Mostafavi, Sheng Wang:
Gemini: memory-efficient integration of hundreds of gene networks with high-order pooling. Bioinform. 39(Supplement-1): 504-512 (2023) - [j6]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) - [j5]Addie Woicik, Mingxin Zhang, Janelle Chan, Jianzhu Ma, Sheng Wang:
Extrapolating heterogeneous time-series gene expression data using Sagittarius. Nat. Mac. Intell. 5(7): 699-713 (2023) - [c29]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 - [c28]Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi:
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. IEEE Big Data 2023: 838-846 - [c27]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Edward W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CIKM 2023: 1523-1533 - [c26]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. KDD 2023: 5270-5281 - [i11]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:
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. CoRR abs/2306.02592 (2023) - [i10]Zixuan Liu, Gaurush Hiranandani, Kun Qian, Eddie W. Huang, Yi Xu, Belinda Zeng, Karthik Subbian, Sheng Wang:
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding. CoRR abs/2310.04865 (2023) - 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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