Fuhai Li - RankMe

52 papers A* 4C 1Misc 2Journal 32Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GALAX: Graph-Augmented Language Model for Explainable Reinforcement-Guided Subgraph Reasoning in Precision Medicine. CoRR Heming Zhang, Di Huang, Wenyu Li, Michael A. Province, Yixin Chen, Philip R. O. Payne, Fuhai Li
2025	—	`conf`	GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning. WWW (Companion Volume) Heming Zhang, Di Huang, Yixin Chen, Fuhai Li
2025	J	`jnl`	KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition. CoRR Heming Zhang, Wenyu Li, Di Huang, Yinjie Tang, Yixin Chen, Philip R. O. Payne, Fuhai Li
2025	J	`jnl`	Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning. CoRR Haoran Song, Jiarui Feng, Guangfu Li, Michael A. Province, Philip R. O. Payne, Yixin Chen, Fuhai Li
2025	J	`jnl`	OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling. CoRR 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
2024	J	`jnl`	GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning. CoRR Heming Zhang, Di Huang, Yixin Chen, Fuhai Li
2024	J	`jnl`	Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer. CoRR Zehao Dong, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Muhan Zhang, Tianyu Zhao, Yixin Chen, Fuhai Li
2024	A*	`conf`	Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability. ICLR Zehao Dong, Muhan Zhang, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Fuhai Li, Yixin Chen
2024	J	`jnl`	sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data. PLoS Comput. Biol. 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
2023	A*	`conf`	Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman. NeurIPS Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
2023	J	`jnl`	Towards Arbitrarily Expressive GNNs in O(n CoRR Jiarui Feng, Lecheng Kong, Hao Liu, Dacheng Tao, Fuhai Li, Muhan Zhang, Yixin Chen
2023	J	`jnl`	Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction. CoRR Zehao Dong, Muhan Zhang, Qihang Zhao, Philip R. O. Payne, Michael A. Province, Carlos Cruchaga, Tianyu Zhao, Yixin Chen, Fuhai Li
2022	A*	`conf`	How Powerful are K-hop Message Passing Graph Neural Networks. NeurIPS Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	J	`jnl`	How Powerful are K-hop Message Passing Graph Neural Networks. CoRR Jiarui Feng, Yixin Chen, Fuhai Li, Anindya Sarkar, Muhan Zhang
2022	J	`jnl`	Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling. CoRR Zehao Dong, Yixin Chen, Philip R. O. Payne, Fuhai Li
2022	A*	`conf`	PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. ICML Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
2022	J	`jnl`	PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs. CoRR Zehao Dong, Muhan Zhang, Fuhai Li, Yixin Chen
2021	J	`jnl`	Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2. BMC Medical Informatics Decis. Mak. Fuhai Li, Andrew P. Michelson, Randi E. Foraker, Ming Zhan, Philip R. O. Payne
2021	J	`jnl`	Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. CoRR Zehao Dong, Heming Zhang, Yixin Chen, Fuhai Li
2021	J	`jnl`	Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model. BMC Bioinform. Jiarui Feng, Heming Zhang, Fuhai Li
2021	J	`jnl`	Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways. Frontiers Bioinform. Heming Zhang, Yixin Chen, Fuhai Li
2020	Misc	`conf`	Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model. AMIA Heming Zhang, Jiarui Feng, Amanda Zeng, Philip R. O. Payne, Fuhai Li
2018	Misc	`conf`	Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies. PSB Jielin Xu, Kelly Regan-Fendt, Siyuan Deng, William E. Carson III, Philip R. O. Payne, Fuhai Li
2018	J	`jnl`	Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models. CoRR Tianyu Zhang, Liwei Zhang, Philip R. O. Payne, Fuhai Li
2017	J	`jnl`	MD-Miner: a network-based approach for personalized drug repositioning. BMC Syst. Biol. Haoyang Wu, Elise Miller, Denethi Wijegunawardana, Kelly Regan, Philip R. O. Payne, Fuhai Li
2016	—	`conf`	DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction. BHI Fuhai Li, Lin Wang, Ren Kong, Jianting Sheng, Huojun Cao, James J. Mancuso, Xiaofeng Xia, Clifford Stephan, Stephen T. C. Wong
2015	J	`jnl`	Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering. Neurocomputing Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric C. Chang, Jinwen Ma, Stephen T. C. Wong
2015	J	`jnl`	METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine. IEEE Trans. Biomed. Eng. Mamta Puppala, Tiancheng He, Shenyi Chen, Richard Ogunti, Xiaohui Yu, Fuhai Li, Robert Jackson, Stephen T. C. Wong
2015	J	`jnl`	Optimal Drug Prediction From Personal Genomics Profiles. IEEE J. Biomed. Health Informatics Jianting Sheng, Fuhai Li, Stephen T. C. Wong
2014	—	`conf`	An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening. XSEDE Zheng Yin, Fuhai Li, Stephen T. C. Wong
2014	J	`jnl`	DrugComboRanker: drug combination discovery based on target network analysis. Bioinform. Lei Huang, Fuhai Li, Jianting Sheng, Xiaofeng Xia, Jinwen Ma, Ming Zhan, Stephen T. C. Wong
2013	J	`jnl`	A 3D multiscale model of cancer stem cell in tumor development. BMC Syst. Biol. Fuhai Li, Hua Tan, Jaykrishna Singh, Jian Yang, Xiaofeng Xia, Jiguang Bao, Jinwen Ma, Ming Zhan, Stephen T. C. Wong
2013	—	`conf`	A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells. ISNN (2) Xu Chen, Yanqiao Zhu, Fuhai Li, Zeyi Zheng, Eric Chang, Jinwen Ma, Stephen T. C. Wong
2013	J	`jnl`	Chapter 17: Bioimage Informatics for Systems Pharmacology. PLoS Comput. Biol. Fuhai Li, Zheng Yin, Guangxu Jin, Hong Zhao, Stephen T. C. Wong
2012	—	`conf`	A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors. ISB Hua Tan, Fuhai Li, Jaykrishna Singh, Xiaofeng Xia, Derek Cridebring, Jian Yang, Ming Zhan, Stephen T. C. Wong, Jiguang Bao, Jinwen Ma
2011	—	`conf`	Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks. MLMI Ahmad A. Hammoudi, Fuhai Li, Liang Gao, Zhiyong Wang, Michael J. Thrall, Yehia Massoud, Stephen T. C. Wong
2011	—	`conf`	Coupling Oriented Hidden Markov Random Field Model with Local Clustering for Segmenting Blood Vessels and Measuring Spatial Structures in Images of Tumor Microenvironment. BIBM 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
2010	J	`jnl`	Conditional random pattern model for copy number aberration detection. BMC Bioinform. Fuhai Li, Xiaobo Zhou, Wanting Huang, Chung-Che Chang, Stephen T. C. Wong
2010	J	`jnl`	Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis. IEEE Trans. Medical Imaging Fuhai Li, Xiaobo Zhou, Jinwen Ma, Stephen T. C. Wong
2010	—	`conf`	Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images. MLMI Fuhai Li, Xiaobo Zhou, Stephen T. C. Wong
2009	J	`jnl`	A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model. IEEE Trans. Inf. Technol. Biomed. Xiaobo Zhou, Fuhai Li, Jun Jun Yan, Stephen T. C. Wong
2009	J	`jnl`	An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling. J. Biomed. Informatics Jun Wang, Xiaobo Zhou, Fuhai Li, Pamela Bradley, Shih-Fu Chang, Norbert Perrimon, Stephen T. C. Wong
2009	—	`conf`	Cell Segmentation Using Front Vector Flow Guided Active Contours. MICCAI (1) Fuhai Li, Xiaobo Zhou, Hong Zhao, Stephen T. C. Wong
2009	J	`jnl`	Conditional random pattern algorithm for LOH inference and segmentation. Bioinform. Ling-Yun Wu, Xiaobo Zhou, Fuhai Li, Xiaorong Yang, Chung-Che Chang, Stephen T. C. Wong
2009	—	`conf`	Integrating Multi-Scale Blob/Curvilinear Detector Techniques and Multi-Level Sets for Automated Segmentation of Stem Cell Images. ISBI Huiming Peng, Xiaobo Zhou, Fuhai Li, Xiaofeng Xia, Stephen T. C. Wong
2008	J	`jnl`	Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy. Bioinform. Meng Wang, Xiaobo Zhou, Fuhai Li, Jeremy F. Huckins, Randall W. King, Stephen T. C. Wong
2008	J	`jnl`	Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens. BMC Bioinform. Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, Youxian Sun, Norbert Perrimon, Stephen T. C. Wong
2008	J	`jnl`	Workflow and Methods of High-Content Time-Lapse Analysis for Quantifying Intracellular Calcium Signals. Neuroinformatics Fuhai Li, Xiaobo Zhou, Jinmin Zhu, Weiming Xia, Jinwen Ma, Stephen T. C. Wong
2007	—	`conf`	Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy. ISBI Meng Wang, Xiaobo Zhou, Fuhai Li, Jeremy F. Huckins, Randy W. King, Stephen T. C. Wong
2007	C	`conf`	Study of CuO Nanoparticle-induced Cell Death by High Content Cellular Fluorescence Imaging and Analysis. ISCAS Xiaobo Zhou, Jian Chen, Jinmin Zhu, Fuhai Li, Xudong Huang, Stephen T. C. Wong
2005	—	`conf`	MFCC and SVM Based Recognition of Chinese Vowels. CIS (2) Fuhai Li, Jinwen Ma, Dezhi Huang
2005	—	`conf`	Non-parametric Statistical Tests for Informative Gene Selection. ISNN (3) Jinwen Ma, Fuhai Li, Jianfeng Liu