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ORCIDFuhai Li 0001
Person information
- affiliation: Washington University in Saint Louis, School of Medicine, Saint Louis, MO, USA
- affiliation (PhD 2008): Peking University, School of Mathematical Science, Beijing, China
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2020 – today
- 2025
[c20]Heming Zhang
, Di Huang, Yixin Chen, Fuhai Li:
GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning. WWW (Companion Volume) 2025: 1510-1513- [i12]Haoran Song, Jiarui Feng, Guangfu Li, Michael A. Province, Philip R. O. Payne, Yixin Chen, Fuhai Li:
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning. CoRR abs/2501.16361 (2025) - [i11]Heming Zhang, Wenyu Li, Di Huang, Yinjie Tang, Yixin Chen, Philip R. O. Payne, Fuhai Li:
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition. CoRR abs/2503.15737 (2025) - [i10]Heming Zhang, Tim Xu, Dekang Cao, Shunning Liang, Lars Schimmelpfennig, Levi Kaster, Di Huang, Carlos Cruchaga, Guangfu Li, Michael A. Province, Yixin Chen, Philip R. O. Payne, Fuhai Li:
OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling. CoRR abs/2504.02148 (2025) - 2024
- [j19]Jiarui Feng, S. Peter Goedegebuure, Amanda Zeng, Ye Bi, Ting Wang, Philip R. O. Payne, Li Ding, David DeNardo, William Hawkins, Ryan C. Fields, Fuhai Li:
sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data. PLoS Comput. Biol. 20(1) (2024) - [c19]Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen:
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR 2024 - [i9]Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li:
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR abs/2402.07268 (2024) - [i8]Heming Zhang, Di Huang, Yixin Chen, Fuhai Li:
GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning. CoRR abs/2412.15790 (2024) - 2023
- [c18]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS 2023 - [i7]Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen:
Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman. CoRR abs/2306.03266 (2023) - [i6]Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li:
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR abs/2309.00738 (2023) - 2022
- [c17]Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen:
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML 2022: 5360-5377 - [c16]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS 2022 - [i5]Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen:
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR abs/2203.10304 (2022) - [i4]Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang:
How Powerful are K-hop Message Passing Graph Neural Networks. CoRR abs/2205.13328 (2022) - [i3]Zehao Dong, Yixin Chen, Philip R. O. Payne, Fuhai Li:
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling. CoRR abs/2209.09245 (2022) - 2021
- [j18]Jiarui Feng, Heming Zhang, Fuhai Li:
Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model. BMC Bioinform. 22(1): 47 (2021) - [j17]Heming Zhang, Yixin Chen, Fuhai Li:
Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways. Frontiers Bioinform. 1 (2021) - [j16]Fuhai Li, Andrew P. Michelson, Randi E. Foraker, Ming Zhan, Philip R. O. Payne:
Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2. BMC Medical Informatics Decis. Mak. 21(1): 15 (2021) - [i2]Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li:
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. CoRR abs/2105.07082 (2021) - 2020
- [c15]Heming Zhang, Jiarui Feng, Amanda Zeng, Philip R. O. Payne, Fuhai Li:
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model. AMIA 2020
2010 – 2019
- 2018
- [c14]Jielin Xu, Kelly Regan-Fendt, Siyuan Deng, William E. Carson III, Philip R. O. Payne, Fuhai Li:
Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies. PSB 2018: 92-103 - [i1]Tianyu Zhang, Liwei Zhang, Philip R. O. Payne, Fuhai Li:
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models. CoRR abs/1811.07054 (2018) - 2017
- [j15]Haoyang Wu, Elise Miller, Denethi Wijegunawardana, Kelly Regan, Philip R. O. Payne, Fuhai Li:
MD-Miner: a network-based approach for personalized drug repositioning. BMC Syst. Biol. 11(S-5): 86:1-86:8 (2017) - 2016
- [c13]Fuhai Li, Lin Wang, Ren Kong, Jianting Sheng, Huojun Cao, James J. Mancuso, Xiaofeng Xia, Clifford Stephan, Stephen T. C. Wong:
DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction. BHI 2016: 368-371 - 2015
- [j14]Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric C. Chang, Jinwen Ma, Stephen T. C. Wong:
Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering. Neurocomputing 149: 39-47 (2015) - [j13]Mamta Puppala, Tiancheng He, Shenyi Chen, Richard Ogunti, Xiaohui Yu, Fuhai Li, Robert Jackson, Stephen T. C. Wong:
METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine. IEEE Trans. Biomed. Eng. 62(12): 2776-2786 (2015) - [j12]Jianting Sheng, Fuhai Li, Stephen T. C. Wong:
Optimal Drug Prediction From Personal Genomics Profiles. IEEE J. Biomed. Health Informatics 19(4): 1264-1270 (2015) - 2014
- [j11]Lei Huang, Fuhai Li, Jianting Sheng, Xiaofeng Xia, Jinwen Ma, Ming Zhan, Stephen T. C. Wong:
DrugComboRanker: drug combination discovery based on target network analysis. Bioinform. 30(12): 228-236 (2014) - [c12]Zheng Yin, Fuhai Li, Stephen T. C. Wong:
An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening. XSEDE 2014: 7:1-7:2 - 2013
- [j10]Fuhai Li, Hua Tan, Jaykrishna Singh, Jian Yang, Xiaofeng Xia, Jiguang Bao, Jinwen Ma, Ming Zhan, Stephen T. C. Wong:
A 3D multiscale model of cancer stem cell in tumor development. BMC Syst. Biol. 7(S-2): S12 (2013) - [j9]Fuhai Li, Zheng Yin, Guangxu Jin, Hong Zhao, Stephen T. C. Wong:
Chapter 17: Bioimage Informatics for Systems Pharmacology. PLoS Comput. Biol. 9(4) (2013) - [c11]Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric Chang, Jinwen Ma, Stephen T. C. Wong:
A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells. ISNN (2) 2013: 315-322 - 2012
- [c10]Hua Tan, Fuhai Li, Jaykrishna Singh, Xiaofeng Xia, Derek Cridebring, Jian Yang, Ming Zhan, Stephen T. C. Wong, Jiguang Bao, Jinwen Ma:
A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors. ISB 2012: 297-303 - 2011
- [c9]Yanqiao Zhu, Fuhai Li, Derek Cridebring, Jinwen Ma, Stephen T. C. Wong, Tegy J. Vadakkan, Mei Zhang, John Landua, Wei Wei, Mary E. Dickinson, Jeffrey M. Rosen, Michael T. Lewis:
Coupling Oriented Hidden Markov Random Field Model with Local Clustering for Segmenting Blood Vessels and Measuring Spatial Structures in Images of Tumor Microenvironment. BIBM 2011: 352-357 - [c8]Ahmad A. Hammoudi, Fuhai Li, Liang Gao, Zhiyong Wang, Michael J. Thrall, Yehia Massoud, Stephen T. C. Wong:
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks. MLMI 2011: 317-325 - 2010
- [j8]Fuhai Li, Xiaobo Zhou, Wanting Huang, Chung-Che Chang, Stephen T. C. Wong:
Conditional random pattern model for copy number aberration detection. BMC Bioinform. 11: 200 (2010) - [j7]Fuhai Li, Xiaobo Zhou, Jinwen Ma, Stephen T. C. Wong:
Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis. IEEE Trans. Medical Imaging 29(1): 96-105 (2010) - [c7]Fuhai Li, Xiaobo Zhou, Stephen T. C. Wong:
Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images. MLMI 2010: 124-131
2000 – 2009
- 2009
- [j6]Ling-Yun Wu, Xiaobo Zhou, Fuhai Li, Xiaorong Yang, Chung-Che Chang, Stephen T. C. Wong:
Conditional random pattern algorithm for LOH inference and segmentation. Bioinform. 25(1): 61-67 (2009) - [j5]Jun Wang, Xiaobo Zhou, Fuhai Li, Pamela Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong:
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling. J. Biomed. Informatics 42(1): 32-40 (2009) - [j4]Xiaobo Zhou, Fuhai Li, Jun Jun Yan, Stephen T. C. Wong:
A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model. IEEE Trans. Inf. Technol. Biomed. 13(2): 152-157 (2009) - [c6]Huiming Peng, Xiaobo Zhou, Fuhai Li, Xiaofeng Xia, Stephen T. C. Wong:
Integrating Multi-Scale Blob/Curvilinear Detector Techniques and Multi-Level Sets for Automated Segmentation of Stem Cell Images. ISBI 2009: 1362-1365 - [c5]Fuhai Li, Xiaobo Zhou, Hong Zhao, Stephen T. C. Wong:
Cell Segmentation Using Front Vector Flow Guided Active Contours. MICCAI (1) 2009: 609-616 - 2008
- [j3]Meng Wang, Xiaobo Zhou, Fuhai Li, Jeremy F. Huckins, Randall W. King, Stephen T. C. Wong:
Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy. Bioinform. 24(1): 94-101 (2008) - [j2]Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, Youxian Sun, Norbert Perrimon, Stephen T. C. Wong:
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens. BMC Bioinform. 9 (2008) - [j1]Fuhai Li, Xiaobo Zhou, Jinmin Zhu, Weiming Xia, Jinwen Ma, Stephen T. C. Wong:
Workflow and Methods of High-Content Time-Lapse Analysis for Quantifying Intracellular Calcium Signals. Neuroinformatics 6(2): 97-108 (2008) - 2007
- [c4]Meng Wang, Xiaobo Zhou, Fuhai Li, Jeremy F. Huckins, Randy W. King, Stephen T. C. Wong:
Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy. ISBI 2007: 65-68 - [c3]Xiaobo Zhou, Jian Chen, Jinmin Zhu, Fuhai Li, Xudong Huang, Stephen T. C. Wong:
Study of CuO Nanoparticle-induced Cell Death by High Content Cellular Fluorescence Imaging and Analysis. ISCAS 2007: 2878-2881 - 2005
- [c2]Fuhai Li, Jinwen Ma, Dezhi Huang:
MFCC and SVM Based Recognition of Chinese Vowels. CIS (2) 2005: 812-819 - [c1]Jinwen Ma, Fuhai Li, Jianfeng Liu:
Non-parametric Statistical Tests for Informative Gene Selection. ISNN (3) 2005: 697-702
Coauthor Index
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last updated on 2025-08-05 23:04 CEST by the dblp team
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