Ontology Construction for Information Selection. - Latifur Khan; Feng Luo 001 (ICTAI, 2002)

Hierarchical Clustering of Gene Expression Data. - Feng Luo 001; Kun Tang; Latifur Khan (BIBE, 2003)

A dynamically growing self-organizing tree (DGSOT) for hierarchical clustering gene expression profiles. - Feng Luo 001; Latifur Khan; Farokh B. Bastani; I-Ling Yen; Jizhong Zhou (Bioinform., 2004)

Hierarchical Clustering for Complex Data. - Latifur Khan; Feng Luo 001 (Int. J. Artif. Intell. Tools, 2005)

Detecting Functional Modules from Protein Interaction Networks. - Feng Luo 001; Richard H. Scheuermann (IMSCCS (1), 2006)

Physiological and Transcriptomic Analyses to Characterize the Function of Fur and Iron Response in Shewanella Oneidensis. - Yunfeng Yang; Daniel Harris; Feng Luo 001; Liyou Wu; Andrea Parsons; Anthony Palumbo; Jizhong Zhou (BIOCOMP, 2007)

Modular organization of protein interaction networks. - Feng Luo 001; Yunfeng Yang; Chin-Fu Chen; Roger L. Chang; Jizhong Zhou; Richard H. Scheuermann (Bioinform., 2007)

A quantitative genotype algorithm reflecting H5N1 Avian influenza niches. - Xiu-Feng Wan; Guorong Chen; Feng Luo 001; Michael Emch; Ruben O. Donis (Bioinform., 2007)

Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory. - Feng Luo 001; Yunfeng Yang; Jianxin Zhong; Haichun Gao; Latifur Khan; Dorothea K. Thompson; Jizhong Zhou (BMC Bioinform., 2007)

Exploring Core/Periphery Structures in Protein Interaction Networks Provides Structure-Property Relation Insights. - Thomas Grindinger; Feng Luo 001; Xiu-Feng Wan; Richard H. Scheuermann (BIBM, 2008)

Exploring local community structures in large networks. - Feng Luo 001; James Zijun Wang; Eric Promislow (Web Intell. Agent Syst., 2008)

Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains. - Bo Li 036; Feng Luo 001 (BIBM, 2009)

Core and periphery structures in protein interaction networks. - Feng Luo 001; Bo Li 036; Xiu-Feng Wan; Richard H. Scheuermann (BMC Bioinform., 2009)

A non-parameter Ising model for network-based identification of differentially expressed genes in recurrent breast cancer patients. - Xumeng Li; F. Alex Feltus; Xiaoqian Sun; James Zijun Wang; Feng Luo 001 (BIBM, 2010)

Effectively Integrating Information Content and Structural Relationship to Improve the GO-based Similarity Measure Between Proteins. - Bo Li 036; Feng Luo 001; James Z. Wang 002; F. Alex Feltus; Jizhong Zhou (BIOCOMP, 2010)

Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks. - Roger L. Chang; Feng Luo 001; Stuart Johnson; Richard H. Scheuermann (Int. J. Bioinform. Res. Appl., 2010)

Predicing Yeast Synthetic Lethal Genetic Interactions Using Short Polypeptide Clusters. - Bo Li 036; Yuehua Zhang; Pradip K. Srimani; Feng Luo 001 (BIBM, 2011)

Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions. - Bo Li 036; Weiguo Cao; Jizhong Zhou; Feng Luo 001 (BMC Syst. Biol., 2011)

A New Hierarchical Structure of Star Graphs and Applications. - Wei Shi; Feng Luo 001; Pradip K. Srimani (ICDCIT, 2012)

O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models. - Aditya Sriram; Feng Luo 001 (ICMLA (2), 2012)

Molecular ecological network analyses. - Ye Deng 001; Yi-Huei Jiang; Yunfeng Yang; Zhili He; Feng Luo 001; Jizhong Zhou (BMC Bioinform., 2012)

Sesame: A new bioinformatics semantic workflow design system. - Lu Zhang; Yunsheng Wang; Pengfei Xuan; Alexander Duvall; Jonathan Lowe; Yanyan Wang; Arvind Subramanian; Pradip K. Srimani; Feng Luo 001; Yongping Duan (BIBM, 2013)

Combining Hadoop and GPU to preprocess large Affymetrix microarray data. - Sufeng Niu; Guangyu Yang; Nilim Sarma; Pengfei Xuan; Melissa C. Smith; Pradip K. Srimani; Feng Luo 001 (IEEE BigData, 2014)

Big data analytics on traditional HPC infrastructure using two-level storage. - Pengfei Xuan; Jeffrey Denton; Pradip K. Srimani; Rong Ge 002; Feng Luo 001 (DISCS@SC, 2015)

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. - Adel Dayarian; Roberto Romero; Zhiming Wang; Michael Biehl; Erhan Bilal; Sahand Hormoz; Pablo Meyer 001; Raquel Norel; Kahn Rhrissorrakrai; Gyan Bhanot; Feng Luo 001; Adi L. Tarca (Bioinform., 2015)

Big Data Analytics on Traditional HPC Infrastructure Using Two-Level Storage. - Pengfei Xuan; Jeffrey Denton; Feng Luo 001; Pradip K. Srimani (CoRR, 2015)

Guest Editorial for Special Section on BIBM 2013. - Feng Luo 001; Xintao Wu (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

A de novo genome assembler based on MapReduce and bi-directed de Bruijn graph. - Yuehua Zhang; Pengfei Xuan; Yunsheng Wang; Pradip K. Srimani; Feng Luo 001 (BIBM, 2016)

Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network. - Xiang Zhang; Jonathan Tong; Nishant Vishwamitra; Elizabeth Whittaker; Joseph P. Mazer; Robin M. Kowalski; Hongxin Hu; Feng Luo 001; Jamie Macbeth; Edward Dillon 002 (ICMLA, 2016)

CatCharge: Deploying wireless charging lane in metropolitan scale through categorization and clustering of vehicle mobility. - Li Yan 004; Juanjuan Zhao; Haiying Shen; Cheng-Zhong Xu 001; Feng Luo 001 (ICNP, 2016)

New Biology Inspired Anonymous Distributed Algorithms to Compute Dominating and Total Dominating Sets in Network Graphs. - Feng Luo 001; Pradip K. Srimani (IPDPS Workshops, 2016)

DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems. - Pengfei Xuan; Feng Luo 001; Rong Ge 002; Pradip K. Srimani (CoRR, 2016)

Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems. - Pengfei Xuan; Feng Luo 001; Rong Ge 002; Pradip K. Srimani (CCGrid, 2017)

MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks. - Nishant Vishwamitra; Xiang Zhang; Jonathan Tong; Hongxin Hu; Feng Luo 001; Robin M. Kowalski; Joseph P. Mazer (IWSPA@CODASPY, 2017)

CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic. - Li Yan 004; Haiying Shen; Juanjuan Zhao; Chengzhong Xu 001; Feng Luo 001; Chenxi Qiu (INFOCOM, 2017)

CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior. - Xiang Zhang; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001 (CoRR, 2017)

Accelerating big data analytics on HPC clusters using two-level storage. - Pengfei Xuan; Walter B. Ligon III; Pradip K. Srimani; Rong Ge 002; Feng Luo 001 (Parallel Comput., 2017)

BioRank: A Similarity Assessment Method for Single Cell Clustering. - Yunpei Xu; Hong-Dong Li; Yi Pan 001; Feng Luo 001; Jianxin Wang 001 (BIBM, 2018)

CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior. - Xiang Zhang; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001 (ICMLA, 2018)

Prediction of lncRNA-disease associations based on inductive matrix completion. - Chengqian Lu; Mengyun Yang; Feng Luo 001; Fang-Xiang Wu; Min Li 007; Yi Pan 001; Yaohang Li; Jianxin Wang 001 (Bioinform., 2018)

An attention-based neural network basecaller for Oxford Nanopore sequencing data. - Neng Huang; Fan Nie; Peng Ni; Feng Luo 001; Jianxin Wang 001 (BIBM, 2019)

DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning. - Peng Ni; Neng Huang; Zhi Zhang; De-Peng Wang; Fan Liang; Yu Miao; Chuan-Le Xiao; Feng Luo 001; Jianxin Wang 001 (Bioinform., 2019)

Clustering by Directly Disentangling Latent Space. - Fei Ding; Feng Luo 001 (CoRR, 2019)

DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. - Fei Ding; Hongda Li 002; Feng Luo 001; Hongxin Hu; Long Cheng 005; Hai Xiao; Rong Ge 002 (AsiaCCS, 2020)

Towards Automatic Detection and Explanation of Hate Speech and Offensive Language. - Wyatt Dorris; Ruijia (Roger) Hu; Nishant Vishwamitra; Feng Luo 001; Matthew Costello (IWSPA@CODASPY, 2020)

On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation. - Ruijia (Roger) Hu; Wyatt Dorris; Nishant Vishwamitra; Feng Luo 001; Matthew Costello (CODASPY, 2020)

On Analyzing COVID-19-related Hate Speech Using BERT Attention. - Nishant Vishwamitra; Ruijia (Roger) Hu; Feng Luo 001; Long Cheng 005; Matthew Costello; Yin Yang 002 (ICMLA, 2020)

MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries. - Tao Li 033; Shaokai Wang; Feng Luo 001; Fang-Xiang Wu; Jianxin Wang 001 (Bioinform., 2020)

Second-order Neural Network Training Using Complex-step Directional Derivative. - Siyuan Shen; Tianjia Shao; Kun Zhou 001; Chenfanfu Jiang; Feng Luo 001; Yin Yang 002 (CoRR, 2020)

Multi-level Knowledge Distillation. - Fei Ding; Feng Luo 001; Hongxin Hu; Yin Yang 002 (CoRR, 2020)

MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads. - Tao Li 033; Xiankai Zhang; Feng Luo 001; Fang-Xiang Wu; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Improving de novo Assembly Based on Read Classification. - Xingyu Liao; Min Li 007; Junwei Luo; You Zou; Fang-Xiang Wu; Yi Pan 001; Feng Luo 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection. - Mingqi Li; Song Liao; Ebuka Okpala; Max Tong; Matthew Costello; Long Cheng 005; Hongxin Hu; Feng Luo 001 (ICMLA, 2021)

Towards Understanding and Detecting Cyberbullying in Real-world Images. - Nishant Vishwamitra; Hongxin Hu; Feng Luo 001; Long Cheng 005 (NDSS, 2021)

A Chi-MIC Based Adaptive Multi-Branch Decision Tree. - Jiahao Ye; Jingjing Yang; Jiang Yu; Siqiao Tan; Feng Luo 001; Zheming Yuan; Yuan Chen (IEEE Access, 2021)

NeuralPolish: a novel Nanopore polishing method based on alignment matrix construction and orthogonal Bi-GRU Networks. - Neng Huang; Fan Nie; Peng Ni; Feng Luo 001; Xin Gao 001; Jianxin Wang 001 (Bioinform., 2021)

Understanding and Measuring Robustness of Multimodal Learning. - Nishant Vishwamitra; Hongxin Hu; Ziming Zhao 001; Long Cheng 005; Feng Luo 001 (CoRR, 2021)

EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads. - Xingyu Liao; Min Li 007; Junwei Luo; You Zou; Fang-Xiang Wu; Yi Pan 001; Feng Luo 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering. - Yunpei Xu; Hong-Dong Li; Yi Pan 001; Feng Luo 001; Fang-Xiang Wu; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

HoD-Net: High-Order Differentiable Deep Neural Networks and Applications. - Siyuan Shen; Tianjia Shao; Kun Zhou 001; Chenfanfu Jiang; Feng Luo 001; Yin Yang 002 (AAAI, 2022)

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. - Mingqi Li; Fei Ding; Dan Zhang; Long Cheng 005; Hongxin Hu; Feng Luo 001 (EMNLP, 2022)

Clustering by Directly Disentangling Latent Space. - Fei Ding; Yin Yang 002; Feng Luo 001 (ICIP, 2022)

AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning. - Ebuka Okpala; Long Cheng 005; Nicodemus Msafiri John Mbwambo; Feng Luo 001 (ICMLA, 2022)

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer. - Neng Huang; Fan Nie; Peng Ni; Xin Gao 001; Feng Luo 001; Jianxin Wang 001 (Briefings Bioinform., 2022)

Fec: a fast error correction method based on two-rounds overlapping and caching. - Jun Zhang; Fan Nie; Neng Huang; Peng Ni; Feng Luo 001; Jianxin Wang 001 (Bioinform., 2022)

CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic. - Li Yan 004; Haiying Shen; Juanjuan Zhao; Cheng-Zhong Xu 001; Feng Luo 001; Chenxi Qiu; Zhe Zhang 048; Shohaib Mahmud (IEEE Internet Things J., 2022)

SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism. - Neng Huang; Fan Nie; Peng Ni; Feng Luo 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. - Feng Luo 001; Ling Liu; G. Geoff Wang; Vijay Kumar 001; Mark S. Ashton; Jacob D. Abernethy; Fatemeh Afghah; Matthew H. E. M. Browning; David Coyle; Philip M. Dames; Tom O'Halloran; James Hays; et al. (CogMI, 2023)

Analysis of COVID-19 Offensive Tweets and Their Targets. - Song Liao; Ebuka Okpala; Long Cheng 005; Mingqi Li; Nishant Vishwamitra; Hongxin Hu; Feng Luo 001; Matthew Costello (KDD, 2023)

CLC: Cluster Assignment via Contrastive Representation Learning. - Fei Ding; Dan Zhang; Yin Yang 002; Venkat Krovi; Feng Luo 001 (CoRR, 2023)

Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective. - Yucong Dai; Gen Li 012; Feng Luo 001; Xiaolong Ma; Yongkai Wu (CoRR, 2023)

NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data. - Neng Huang; Minghua Xu 005; Fan Nie; Peng Ni; Chuan-Le Xiao; Feng Luo 001; Jianxin Wang 001 (Bioinform., 2023)

COVID-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit. - Matthew Costello; Nishant Vishwamitra; Song Liao; Long Cheng 005; Feng Luo 001; Hongxin Hu (Cyberpsychology Behav. Soc. Netw., 2023)

Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice. - Mingqi Li; Gabrielle Scronce; Christian Finetto; Kristen Coupland; Matthew Zhong; Melanie E. Lambert; Adam Baker; Feng Luo 001; Na Jin Seo (Sensors, 2023)

Dynamic View Translation for Robust Multi-Agent Autonomy. - Grayson Byrd; Dan Zhang; Feng Luo 001; Venkat Krovi; David J. Gorsich; Jonathon M. Smereka; Mark J. Brudnak (ICAA, 2024)

Effectively Prompting Small-Sized Language Models for Cross-Lingual Tasks via Winning Tickets. - Mingqi Li; Feng Luo 001 (ICMLA, 2024)

Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters. - Tanmay Vilas Samak; Chinmay Vilas Samak; Joey Binz; Jonathon M. Smereka; Mark J. Brudnak; David J. Gorsich; Feng Luo 001; Venkat Krovi (CoRR, 2024)

Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation. - Fei Ding; Yin Yang 002; Hongxin Hu; Venkat Krovi; Feng Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generalizable Unsupervised Microscopy Video Denoising via Weighted SpatioTemporal Sampling. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Xin Li; Tong Ye; Nianyi Li (CVPR Workshops, 2025)

Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement. - Yunhan Ren; Feng Luo 001; Siyu Huang (ICMR, 2025)

Implicit Neural Representation for Video and Image Super-Resolution. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Nianyi Li (CoRR, 2025)

Implicit Neural Representation for Video Restoration. - Mary Damilola Aiyetigbo; Wanqi Yuan; Feng Luo 001; Nianyi Li (CoRR, 2025)