Feng Luo

According to our database, Feng Luo authored at least 78 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation.

Fei Ding, Yin Yang, Hongxin Hu, Venkat Krovi, Feng Luo

IEEE Trans. Neural Networks Learn. Syst., February, 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, Venkat Krovi

CoRR, 2024

Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets.

Mingqi Li, Feng Luo

CoRR, 2024

Dynamic View Translation for Robust Multi-Agent Autonomy.

Grayson Byrd, Dan Zhang, Feng Luo, Venkat Krovi, David J. Gorsich, Jonathon M. Smereka, Mark J. Brudnak

Proceedings of the International Conference on Assured Autonomy, 2024

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, Na Jin Seo

Sensors, July, 2023

COVID-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit.

Matthew Costello, Nishant Vishwamitra, Song Liao, Long Cheng, Feng Luo, Hongxin Hu

Cyberpsychology Behav. Soc. Netw., July, 2023

NanoSNP: a progressive and haplotype-aware SNP caller on low-coverage nanopore sequencing data.

Neng Huang, Minghua Xu, Fan Nie, Peng Ni, Chuan-Le Xiao, Feng Luo, Jianxin Wang

Bioinform., January, 2023

Coupling Fairness and Pruning in a Single Run: a Bi-level Optimization Perspective.

Yucong Dai, Gen Li, Feng Luo, Xiaolong Ma, Yongkai Wu

CoRR, 2023

CLC: Cluster Assignment via Contrastive Representation Learning.

Fei Ding, Dan Zhang, Yin Yang, Venkat Krovi, Feng Luo

CoRR, 2023

Analysis of COVID-19 Offensive Tweets and Their Targets.

Song Liao, Ebuka Okpala, Long Cheng, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo, Matthew Costello

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.

Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Hiesl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, JingJing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022

SACall: A Neural Network Basecaller for Oxford Nanopore Sequencing Data Based on Self-Attention Mechanism.

Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic.

Li Yan, Haiying Shen, Juanjuan Zhao, Cheng-Zhong Xu, Feng Luo, Chenxi Qiu, Zhe Zhang, Shohaib Mahmud

IEEE Internet Things J., 2022

Fec: a fast error correction method based on two-rounds overlapping and caching.

Jun Zhang, Fan Nie, Neng Huang, Peng Ni, Feng Luo, Jianxin Wang

Bioinform., 2022

BlockPolish: accurate polishing of long-read assembly via block divide-and-conquer.

Neng Huang, Fan Nie, Peng Ni, Xin Gao, Feng Luo, Jianxin Wang

Briefings Bioinform., 2022

AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning.

Ebuka Okpala, Long Cheng, Nicodemus Msafiri John Mbwambo, Feng Luo

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Clustering by Directly Disentangling Latent Space.

Fei Ding, Yin Yang, Feng Luo

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model.

Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HoD-Net: High-Order Differentiable Deep Neural Networks and Applications.

Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Gene Rank Based Approach for Single Cell Similarity Assessment and Clustering.

Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Fang-Xiang Wu, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

EPGA-SC : A Framework for de novo Assembly of Single-Cell Sequencing Reads.

Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Understanding and Measuring Robustness of Multimodal Learning.

Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo

CoRR, 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, Xin Gao, Jianxin Wang

Bioinform., 2021

A Chi-MIC Based Adaptive Multi-Branch Decision Tree.

Jiahao Ye, Jingjing Yang, Jiang Yu, Siqiao Tan, Feng Luo, Zheming Yuan, Yuan Chen

IEEE Access, 2021

Towards Understanding and Detecting Cyberbullying in Real-world Images.

Nishant Vishwamitra, Hongxin Hu, Feng Luo, Long Cheng

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

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, Hongxin Hu, Feng Luo

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Improving de novo Assembly Based on Read Classification.

Xingyu Liao, Min Li, Junwei Luo, You Zou, Fang-Xiang Wu, Yi Pan, Feng Luo, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

MultiMotifMaker: A Multi-Thread Tool for Identifying DNA Methylation Motifs from Pacbio Reads.

Tao Li, Xiankai Zhang, Feng Luo, Fang-Xiang Wu, Jianxin Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Multi-level Knowledge Distillation.

Fei Ding, Feng Luo, Hongxin Hu, Yin Yang

CoRR, 2020

Second-order Neural Network Training Using Complex-step Directional Derivative.

Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

CoRR, 2020

MultiGuideScan: a multi-processing tool for designing CRISPR guide RNA libraries.

Tao Li, Shaokai Wang, Feng Luo, Fang-Xiang Wu, Jianxin Wang

Bioinform., 2020

On Analyzing COVID-19-related Hate Speech Using BERT Attention.

Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 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, Matthew Costello

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

Towards Automatic Detection and Explanation of Hate Speech and Offensive Language.

Wyatt Dorris, Ruijia (Roger) Hu, Nishant Vishwamitra, Feng Luo, Matthew Costello

Proceedings of the IWSPA@CODASPY '20: Proceedings ofthe Sixth International Workshop on Security and Privacy Analytics, 2020

DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels.

Fei Ding, Hongda Li, Feng Luo, Hongxin Hu, Long Cheng, Hai Xiao, Rong Ge

Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019

Clustering by Directly Disentangling Latent Space.

Fei Ding, Feng Luo

CoRR, 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, Jianxin Wang

Bioinform., 2019

An attention-based neural network basecaller for Oxford Nanopore sequencing data.

Neng Huang, Fan Nie, Peng Ni, Feng Luo, Jianxin Wang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Prediction of lncRNA-disease associations based on inductive matrix completion.

Chengqian Lu, Mengyun Yang, Feng Luo, Fang-Xiang Wu, Min Li, Yi Pan, Yaohang Li, Jianxin Wang

Bioinform., 2018

CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior.

Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

BioRank: A Similarity Assessment Method for Single Cell Clustering.

Yunpei Xu, Hong-Dong Li, Yi Pan, Feng Luo, Jianxin Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Accelerating big data analytics on HPC clusters using two-level storage.

Pengfei Xuan, Walter B. Ligon III, Pradip K. Srimani, Rong Ge, Feng Luo

Parallel Comput., 2017

CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior.

Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo

CoRR, 2017

CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic.

Li Yan, Haiying Shen, Juanjuan Zhao, Chengzhong Xu, Feng Luo, Chenxi Qiu

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks.

Nishant Vishwamitra, Xiang Zhang, Jonathan Tong, Hongxin Hu, Feng Luo, Robin M. Kowalski, Joseph P. Mazer

Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics, 2017

Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems.

Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani

Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016

DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems.

Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani

CoRR, 2016

New Biology Inspired Anonymous Distributed Algorithms to Compute Dominating and Total Dominating Sets in Network Graphs.

Feng Luo, Pradip K. Srimani

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

CatCharge: Deploying wireless charging lane in metropolitan scale through categorization and clustering of vehicle mobility.

Li Yan, Juanjuan Zhao, Haiying Shen, Cheng-Zhong Xu, Feng Luo

Proceedings of the 24th IEEE International Conference on Network Protocols, 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, Jamie Macbeth, Edward Dillon

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015

Guest Editorial for Special Section on BIBM 2013.

Feng Luo, Xintao Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Big Data Analytics on Traditional HPC Infrastructure Using Two-Level Storage.

Pengfei Xuan, Jeffrey Denton, Feng Luo, Pradip K. Srimani

CoRR, 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, Raquel Norel, Kahn Rhrissorrakrai, Gyan Bhanot, Feng Luo, Adi L. Tarca

Bioinform., 2015

Big data analytics on traditional HPC infrastructure using two-level storage.

Pengfei Xuan, Jeffrey Denton, Pradip K. Srimani, Rong Ge, Feng Luo

Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems, 2015

2014

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

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

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, Yongping Duan

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Molecular ecological network analyses.

Ye Deng, Yi-Huei Jiang, Yunfeng Yang, Zhili He, Feng Luo, Jizhong Zhou

BMC Bioinform., 2012

O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models.

Aditya Sriram, Feng Luo

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A New Hierarchical Structure of Star Graphs and Applications.

Wei Shi, Feng Luo, Pradip K. Srimani

Proceedings of the Distributed Computing and Internet Technology, 2012

2011

Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions.

Bo Li, Weiguo Cao, Jizhong Zhou, Feng Luo

BMC Syst. Biol., 2011

Predicing Yeast Synthetic Lethal Genetic Interactions Using Short Polypeptide Clusters.

Bo Li, Yuehua Zhang, Pradip K. Srimani, Feng Luo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010

Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks.

Roger L. Chang, Feng Luo, Stuart Johnson, Richard H. Scheuermann

Int. J. Bioinform. Res. Appl., 2010

Effectively Integrating Information Content and Structural Relationship to Improve the GO-based Similarity Measure Between Proteins.

Bo Li, Feng Luo, James Z. Wang, F. Alex Feltus, Jizhong Zhou

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

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

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009

Core and periphery structures in protein interaction networks.

Feng Luo, Bo Li, Xiu-Feng Wan, Richard H. Scheuermann

BMC Bioinform., 2009

Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains.

Bo Li, Feng Luo

Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008

Exploring local community structures in large networks.

Feng Luo, James Zijun Wang, Eric Promislow

Web Intell. Agent Syst., 2008

Exploring Core/Periphery Structures in Protein Interaction Networks Provides Structure-Property Relation Insights.

Thomas Grindinger, Feng Luo, Xiu-Feng Wan, Richard H. Scheuermann

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007

Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory.

Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao, Latifur Khan, Dorothea K. Thompson, Jizhong Zhou

BMC Bioinform., 2007

A quantitative genotype algorithm reflecting H5N1 Avian influenza niches.

Xiu-Feng Wan, Guorong Chen, Feng Luo, Michael Emch, Ruben O. Donis

Bioinform., 2007

Modular organization of protein interaction networks.

Feng Luo, Yunfeng Yang, Chin-Fu Chen, Roger L. Chang, Jizhong Zhou, Richard H. Scheuermann

Bioinform., 2007

Physiological and Transcriptomic Analyses to Characterize the Function of Fur and Iron Response in Shewanella Oneidensis.

Yunfeng Yang, Daniel Harris, Feng Luo, Liyou Wu, Andrea Parsons, Anthony Palumbo, Jizhong Zhou

Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006

Detecting Functional Modules from Protein Interaction Networks.

Feng Luo, Richard H. Scheuermann

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

2005

Hierarchical Clustering for Complex Data.

Latifur Khan, Feng Luo

Int. J. Artif. Intell. Tools, 2005

2004

A dynamically growing self-organizing tree (DGSOT) for hierarchical clustering gene expression profiles.

Feng Luo, Latifur Khan, Farokh B. Bastani, I-Ling Yen, Jizhong Zhou

Bioinform., 2004

2003

Hierarchical Clustering of Gene Expression Data.

Feng Luo, Kun Tang, Latifur Khan

Proceedings of the 3rd IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2003), 2003

2002

Ontology Construction for Information Selection.

Latifur Khan, Feng Luo

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002