Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning - Haoran Song; Jiarui Feng; Guangfu Li; Michael A. Province; Philip Payne; Yixin Chen; Fuhai Li (CoRR, 2025)

KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition - Heming Zhang; Wenyu Li; Di Huang; Yinjie Tang; Yixin Chen; Philip Payne; Fuhai Li (CoRR, 2025)

sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data - 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 (PLoS Comput. Biol., 2024)

Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability - Zehao Dong; Muhan Zhang; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Fuhai Li; Yixin Chen (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer - Zehao Dong; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Muhan Zhang; Tianyu Zhao; Yixin Chen; Fuhai Li (CoRR, 2024)

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning - Heming Zhang; Di Huang; Yixin Chen; Fuhai Li (CoRR, 2024)

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman - Jiarui Feng; Lecheng Kong; Hao Liu; Dacheng Tao; Fuhai Li; Muhan Zhang; Yixin Chen (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Towards Arbitrarily Expressive GNNs in O(n\(^2\)) Space by Rethinking Folklore Weisfeiler-Lehman - Jiarui Feng; Lecheng Kong; Hao Liu; Dacheng Tao; Fuhai Li; Muhan Zhang; Yixin Chen (CoRR, 2023)

Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction - Zehao Dong; Muhan Zhang; Qihang Zhao; Philip R. O. Payne; Michael A. Province; Carlos Cruchaga; Tianyu Zhao; Yixin Chen; Fuhai Li (CoRR, 2023)

A Directly Connected OTA Measurement for Performance Evaluation of 5G Adaptive Beamforming Terminals - Penghui Shen; Yihong Qi; Wei Yu; Fuhai Li; Xianbin Wang; Xuemin Shen (IEEE Internet Things J., 2022)

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs - Zehao Dong; Muhan Zhang; Fuhai Li; Yixin Chen (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

How Powerful are K-hop Message Passing Graph Neural Networks - Jiarui Feng; Yixin Chen; Fuhai Li; Anindya Sarkar; Muhan Zhang (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs - Zehao Dong; Muhan Zhang; Fuhai Li; Yixin Chen (CoRR, 2022)

How Powerful are K-hop Message Passing Graph Neural Networks - Jiarui Feng; Yixin Chen; Fuhai Li; Anindya Sarkar; Muhan Zhang (CoRR, 2022)

Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling - Zehao Dong; Yixin Chen; Philip R. O. Payne; Fuhai Li (CoRR, 2022)

Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model - Jiarui Feng; Heming Zhang; Fuhai Li (BMC Bioinform., 2021)

Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways - Heming Zhang; Yixin Chen; Fuhai Li (Frontiers Bioinform., 2021)

Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2 - Fuhai Li; Andrew P. Michelson; Randi E. Foraker; Ming Zhan; Philip R. O. Payne (BMC Medical Informatics Decis. Mak., 2021)

Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data - Jiarui Feng; Jennifer Lee; Zachary A. Vesoulis; Fuhai Li (npj Digit. Medicine, 2021)

Temperature Effects in OTA MIMO Measurement - Jun Li; Yihong Qi; Wei Yu; Fuhai Li; Jun Fan; Zhiping Yang; Songping Wu; Penghui Shen (IEEE Trans. Instrum. Meas., 2021)

Couple Double-Stage FPNs with Single Pipe-Line for Solar Speckle Images Deblurring - Fuhai Li; Murong Jiang; Lei Yang (Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV, 2021)

Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare - Zehao Dong; Heming Zhang; Yixin Chen; Fuhai Li (CoRR, 2021)

Short-Baseline High-Precision DGPS for Smart Snow Blower - Yunlong Luo; Zibin Weng; Yihong Qi; Lei Deng; Wei Yu; Fuhai Li; James L. Drewniak; Weihua Zhuang; Miao Miao; Jing Huang (IEEE Internet Things J., 2020)

Total Isotropic Sensitivity Measurement in Switched Beam Antenna Systems - Jun Li; Yihong Qi; Wei Yu; Fuhai Li; Jun Fan; Zhiping Yang; Songping Wu; James L. Drewniak (IEEE Trans. Instrum. Meas., 2020)

Calibration Loop Antenna for Multiple Probe Antenna Measurement System - Yuming Zheng; Zibin Weng; Yihong Qi; Jun Fan; Fuhai Li; Zhiping Yang; James L. Drewniak (IEEE Trans. Instrum. Meas., 2020)

Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model - Heming Zhang; Jiarui Feng; Amanda Zeng; Philip R. O. Payne; Fuhai Li (AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020, 2020)

OTA Measurement for IoT Wireless Device Performance Evaluation: Challenges and Solutions - Penghui Shen; Yihong Qi; Wei Yu; Jun Fan; Fuhai Li (IEEE Internet Things J., 2019)

Imaging Experiment of Monostatic and Bistatic UWB SAR at UHF-band - Hongtu Xie; Shiyou Xu; Zengping Chen; Fuhai Li; Shaoying Shi; Guoqian Wang (Proceedings of the 3rd International Conference on Multimedia and Image Processing, ICMIP 2018, Guiyang, China, March 16-18, 2018, 2018)

Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies - Jielin Xu; Kelly Regan-Fendt; Siyuan Deng; William E. Carson III; Philip R. O. Payne; Fuhai Li (Biocomputing 2018: Proceedings of the Pacific Symposium, The Big Island of Hawaii, Hawaii, USA, January 3-7, 2018, 2018)

Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models - Tianyu Zhang; Liwei Zhang; Philip R. O. Payne; Fuhai Li (CoRR, 2018)

MD-Miner: a network-based approach for personalized drug repositioning - Haoyang Wu; Elise Miller; Denethi Wijegunawardana; Kelly Regan; Philip R. O. Payne; Fuhai Li (BMC Syst. Biol., 2017)

One-stationary bistatic UHF UWB SAR experiment and imaging - Hongtu Xie; Shaoying Shi; Daoxiang An; Fuhai Li; Guangxue Wang; Xiaotao Huang; Lin Zhang; Chao Xie; Zhimin Zhou; Guoqian Wang (2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xiamen, China, October 22-25, 2017, 2017)

Evaluation and simulation of detection effectiveness of airborne early warning radar - Hongtu Xie; Shaoying Shi; Fuhai Li; Jialin Su; Daoxiang An; Guangxue Wang; Xiaotao Huang; Lin Zhang; Hui Xiao; Zhimin Zhou; Guoqian Wang (2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Xiamen, China, October 22-25, 2017, 2017)

DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction - Fuhai Li; Lin Wang; Ren Kong; Jianting Sheng; Huojun Cao; James J. Mancuso; Xiaofeng Xia; Clifford Stephan; Stephen T. C. Wong (2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, NV, USA, February 24-27, 2016, 2016)

Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering - Xu Chen; Yanqiao Zhu; Fuhai Li; Zeyi Zheng; Eric C. Chang; Jinwen Ma; Stephen T. C. Wong (Neurocomputing, 2015)

METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine - Mamta Puppala; Tiancheng He; Shenyi Chen; Richard Ogunti; Xiaohui Yu; Fuhai Li; Robert Jackson; Stephen T. C. Wong (IEEE Trans. Biomed. Eng., 2015)

Harmonic Estimation Using Symmetrical Interpolation FFT Based on Triangular Self-Convolution Window - He Wen; Junhao Zhang; Zhuo Meng; Siyu Guo; Fuhai Li; Yuxiang Yang (IEEE Trans. Ind. Informatics, 2015)

Optimal Drug Prediction From Personal Genomics Profiles - Jianting Sheng; Fuhai Li; Stephen T. C. Wong (IEEE J. Biomed. Health Informatics, 2015)

DrugComboRanker: drug combination discovery based on target network analysis - Lei Huang; Fuhai Li; Jianting Sheng; Xiaofeng Xia; Jinwen Ma; Ming Zhan; Stephen T. C. Wong (Bioinform., 2014)

Approximate Algorithm for Fast Calculating Voltage Unbalance Factor of Three-Phase Power System - He Wen; Da Cheng; Zhaosheng Teng; Siyu Guo; Fuhai Li (IEEE Trans. Ind. Informatics, 2014)

An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening - Zheng Yin; Fuhai Li; Stephen T. C. Wong (Annual Conference of the Extreme Science and Engineering Discovery Environment, XSEDE '14, Atlanta, GA, USA - July 13 - 18, 2014, 2014)

A 3D multiscale model of cancer stem cell in tumor development - Fuhai Li; Hua Tan; Jaykrishna Singh; Jian Yang; Xiaofeng Xia; Jiguang Bao; Jinwen Ma; Ming Zhan; Stephen T. C. Wong (BMC Syst. Biol., 2013)

Chapter 17: Bioimage Informatics for Systems Pharmacology - Fuhai Li; Zheng Yin; Guangxu Jin; Hong Zhao; Stephen T. C. Wong (PLoS Comput. Biol., 2013)

A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells - Xu Chen; Yanqiao Zhu; Fuhai Li; Zeyi Zheng; Eric Chang; Jinwen Ma; Stephen T. C. Wong (Advances in Neural Networks - ISNN 2013 - 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part II, 2013)

A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors - Hua Tan; Fuhai Li; Jaykrishna Singh; Xiaofeng Xia; Derek Cridebring; Jian Yang; Ming Zhan; Stephen T. C. Wong; Jiguang Bao; Jinwen Ma (6th IEEE International Conference on Systems Biology, ISB 2012, Xian, China, August 18-20, 2012, 2012)

Coupling Oriented Hidden Markov Random Field Model with Local Clustering for Segmenting Blood Vessels and Measuring Spatial Structures in Images of Tumor Microenvironment - 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 (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, 2011, 2011)

Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks - Ahmad A. Hammoudi; Fuhai Li; Liang Gao; Zhiyong Wang; Michael J. Thrall; Yehia Massoud; Stephen T. C. Wong (Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings, 2011)

Conditional random pattern model for copy number aberration detection - Fuhai Li; Xiaobo Zhou; Wanting Huang; Chung-Che Chang; Stephen T. C. Wong (BMC Bioinform., 2010)

Reconstruction of GPR Signals by Spectral Analysis of the SVD Components of the Data Matrix - Fangyuan Nan; Siyong Zhou; Yaonan Wang; Fuhai Li; Weifeng Yang (IEEE Geosci. Remote. Sens. Lett., 2010)

Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis - Fuhai Li; Xiaobo Zhou; Jinwen Ma; Stephen T. C. Wong (IEEE Trans. Medical Imaging, 2010)

Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images - Fuhai Li; Xiaobo Zhou; Stephen T. C. Wong (Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings, 2010)

Conditional random pattern algorithm for LOH inference and segmentation - Ling-Yun Wu; Xiaobo Zhou; Fuhai Li; Xiaorong Yang; Chung-Che Chang; Stephen T. C. Wong (Bioinform., 2009)

A Better Method than Tail-fitting Algorithm for Jitter Separation Based on Gaussian Mixture Model - Fangyuan Nan; Yaonan Wang; Fuhai Li; Weifeng Yang; Xiaoping Ma (J. Electron. Test., 2009)

An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling - Jun Wang; Xiaobo Zhou; Fuhai Li; Pamela Bradley; Shih-Fu Chang; Norbert Perrimon; Stephen T. C. Wong (J. Biomed. Informatics, 2009)

A Novel Cell Segmentation Method and Cell Phase Identification Using Markov Model - Xiaobo Zhou; Fuhai Li; Jun Jun Yan; Stephen T. C. Wong (IEEE Trans. Inf. Technol. Biomed., 2009)

Integrating Multi-Scale Blob/Curvilinear Detector Techniques and Multi-Level Sets for Automated Segmentation of Stem Cell Images - Huiming Peng; Xiaobo Zhou; Fuhai Li; Xiaofeng Xia; Stephen T. C. Wong (Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28 - July 1, 2009, 2009)

Cell Segmentation Using Front Vector Flow Guided Active Contours - Fuhai Li; Xiaobo Zhou; Hong Zhao; Stephen T. C. Wong (Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009, 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II, 2009)

Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy - Meng Wang; Xiaobo Zhou; Fuhai Li; Jeremy F. Huckins; Randall W. King; Stephen T. C. Wong (Bioinform., 2008)

Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens - Zheng Yin; Xiaobo Zhou; Chris Bakal; Fuhai Li; Youxian Sun; Norbert Perrimon; Stephen T. C. Wong (BMC Bioinform., 2008)

Workflow and Methods of High-Content Time-Lapse Analysis for Quantifying Intracellular Calcium Signals - Fuhai Li; Xiaobo Zhou; Jinmin Zhu; Weiming Xia; Jinwen Ma; Stephen T. C. Wong (Neuroinformatics, 2008)

Study on Robust Progressive Image Transmission over Noisy Channels Based on ISPIHT - Xu Yan; Fuhai Li; Chun He (International Conference on Computer Science and Software Engineering, CSSE 2008, Volume 6: Graphic Communication / Other Applications, December 12-14, 2008, Wuhan, China, 2008)

Wavelet Difference Reduction Coding with Edge Detection and Tracking - Xu Yan; Fuhai Li; Dong Cheng; Guilin Wen (2008 International Symposium on Computer Science and Computational Technology, ISCSCT 2008, 20-22 December 2008, Shanghai, China, 2 Volumes, 2008)

Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy - Meng Wang; Xiaobo Zhou; Fuhai Li; Jeremy F. Huckins; Randy W. King; Stephen T. C. Wong (Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Washington, DC, USA, April 12-16, 2007, 2007)

Study of CuO Nanoparticle-induced Cell Death by High Content Cellular Fluorescence Imaging and Analysis - Xiaobo Zhou; Jian Chen; Jinmin Zhu; Fuhai Li; Xudong Huang; Stephen T. C. Wong (International Symposium on Circuits and Systems (ISCAS 2007), 27-20 May 2007, New Orleans, Louisiana, USA, 2007)

MFCC and SVM Based Recognition of Chinese Vowels - Fuhai Li; Jinwen Ma; Dezhi Huang (Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II, 2005)

Non-parametric Statistical Tests for Informative Gene Selection - Jinwen Ma; Fuhai Li; Jianfeng Liu (Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part III, 2005)