Feng Luo

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 31

Top Topics

Top Venues

Publications

Mingqi Li, Feng Luo
Effectively Prompting Small-sized Language Models for Cross-lingual Tasks via Winning Tickets. CoRR (2024)
Fei Ding, Yin Yang, Hongxin Hu, Venkat Krovi, Feng Luo
Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Matthew Costello, Nishant Vishwamitra, Song Liao, Long Cheng, Feng Luo, Hongxin Hu
COVID-19 and Sinophobia: Detecting Warning Signs of Radicalization on Twitter and Reddit. Cyberpsychology Behav. Soc. Netw. 26 (7) (2023)
Song Liao, Ebuka Okpala, Long Cheng, Mingqi Li, Nishant Vishwamitra, Hongxin Hu, Feng Luo, Matthew Costello
Analysis of COVID-19 Offensive Tweets and Their Targets. KDD (2023)
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 Heisl, 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
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. CogMI (2023)
Fei Ding, Dan Zhang, Yin Yang, Venkat Krovi, Feng Luo
CLC: Cluster Assignment via Contrastive Representation Learning. CoRR (2023)
Li Yan, Haiying Shen, Juanjuan Zhao, Cheng-Zhong Xu, Feng Luo, Chenxi Qiu, Zhe Zhang, Shohaib Mahmud
CatCharger: Deploying In-Motion Wireless Chargers in a Metropolitan Road Network via Categorization and Clustering of Vehicle Traffic. IEEE Internet Things J. 9 (12) (2022)
Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. EMNLP (2022)
Ebuka Okpala, Long Cheng, Nicodemus Mbwambo, Feng Luo
AAEBERT: Debiasing BERT-based Hate Speech Detection Models via Adversarial Learning. ICMLA (2022)
Fei Ding, Yin Yang, Feng Luo
Clustering by Directly Disentangling Latent Space. ICIP (2022)
Jun Zhang, Fan Nie, Neng Huang, Peng Ni, Feng Luo, Jianxin Wang
Fec: a fast error correction method based on two-rounds overlapping and caching. Bioinform. 38 (19) (2022)
Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model. CoRR (2022)
Mingqi Li, Song Liao, Ebuka Okpala, Max Tong, Matthew Costello, Long Cheng, Hongxin Hu, Feng Luo
COVID-HateBERT: a Pre-trained Language Model for COVID-19 related Hate Speech Detection. ICMLA (2021)
Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo
Understanding and Measuring Robustness of Multimodal Learning. CoRR (2021)
Nishant Vishwamitra, Hongxin Hu, Feng Luo, Long Cheng
Towards Understanding and Detecting Cyberbullying in Real-world Images. NDSS (2021)
Fei Ding, Hongda Li, Feng Luo, Hongxin Hu, Long Cheng, Hai Xiao, Rong Ge
DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. AsiaCCS (2020)
Fei Ding, Feng Luo, Hongxin Hu, Yin Yang
Multi-level Knowledge Distillation. CoRR (2020)
Nishant Vishwamitra, Ruijia (Roger) Hu, Feng Luo, Long Cheng, Matthew Costello, Yin Yang
On Analyzing COVID-19-related Hate Speech Using BERT Attention. ICMLA (2020)
Wyatt Dorris, Ruijia (Roger) Hu, Nishant Vishwamitra, Feng Luo, Matthew Costello
Towards Automatic Detection and Explanation of Hate Speech and Offensive Language. IWSPA@CODASPY (2020)
Ruijia (Roger) Hu, Wyatt Dorris, Nishant Vishwamitra, Feng Luo, Matthew Costello
On the Impact of Word Representation in Hate Speech and Offensive Language Detection and Explanation. CODASPY (2020)
Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo
CrescendoNet: A New Deep Convolutional Neural Network with Ensemble Behavior. ICMLA (2018)
Li Yan, Haiying Shen, Juanjuan Zhao, Chengzhong Xu, Feng Luo, Chenxi Qiu
CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic. INFOCOM (2017)
Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo
CrescendoNet: A Simple Deep Convolutional Neural Network with Ensemble Behavior. CoRR (2017)
Pengfei Xuan, Walter B. Ligon III, Pradip K. Srimani, Rong Ge, Feng Luo
Accelerating big data analytics on HPC clusters using two-level storage. Parallel Comput. 61 (2017)
Nishant Vishwamitra, Xiang Zhang, Jonathan Tong, Hongxin Hu, Feng Luo, Robin M. Kowalski, Joseph P. Mazer
MCDefender: Toward Effective Cyberbullying Defense in Mobile Online Social Networks. IWSPA@CODASPY (2017)
Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani
Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems. CCGrid (2017)
Feng Luo, Pradip K. Srimani
New Biology Inspired Anonymous Distributed Algorithms to Compute Dominating and Total Dominating Sets in Network Graphs. IPDPS Workshops (2016)
Li Yan, Juanjuan Zhao, Haiying Shen, Cheng-Zhong Xu, Feng Luo
CatCharge: Deploying wireless charging lane in metropolitan scale through categorization and clustering of vehicle mobility. ICNP (2016)
Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani
DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems. CoRR (2016)
Yuehua Zhang, Pengfei Xuan, Yunsheng Wang, Pradip K. Srimani, Feng Luo
A de novo genome assembler based on MapReduce and bi-directed de Bruijn graph. BIBM (2016)
Xiang Zhang, Jonathan Tong, Nishant Vishwamitra, Elizabeth Whittaker, Joseph P. Mazer, Robin M. Kowalski, Hongxin Hu, Feng Luo, Jamie Macbeth, Edward Dillon
Cyberbullying Detection with a Pronunciation Based Convolutional Neural Network. ICMLA (2016)
Pengfei Xuan, Jeffrey Denton, Pradip K. Srimani, Rong Ge, Feng Luo
Big data analytics on traditional HPC infrastructure using two-level storage. DISCS@SC (2015)
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
Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge. Bioinform. 31 (4) (2015)
Pengfei Xuan, Jeffrey Denton, Feng Luo, Pradip K. Srimani
Big Data Analytics on Traditional HPC Infrastructure Using Two-Level Storage. CoRR (2015)
Feng Luo, Xintao Wu
Guest Editorial for Special Section on BIBM 2013. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Sufeng Niu, Guangyu Yang, Nilim Sarma, Pengfei Xuan, Melissa C. Smith, Pradip K. Srimani, Feng Luo
Combining Hadoop and GPU to preprocess large Affymetrix microarray data. IEEE BigData (2014)
Lu Zhang, Yunsheng Wang, Pengfei Xuan, Alexander Duvall, Jonathan Lowe, Yanyan Wang, Arvind Subramanian, Pradip K. Srimani, Feng Luo, Yongping Duan
Sesame: A new bioinformatics semantic workflow design system. BIBM (2013)
Aditya Sriram, Feng Luo
O-linked Glycosylation Site Prediction Using Ensemble of Graphical Models. ICMLA (2) (2012)
Ye Deng, Yi-Huei Jiang, Yunfeng Yang, Zhili He, Feng Luo, Jizhong Zhou
Molecular ecological network analyses. BMC Bioinform. 13 (2012)
Wei Shi, Feng Luo, Pradip K. Srimani
A New Hierarchical Structure of Star Graphs and Applications. ICDCIT (2012)
Bo Li, Yuehua Zhang, Pradip K. Srimani, Feng Luo
Predicing Yeast Synthetic Lethal Genetic Interactions Using Short Polypeptide Clusters. BIBM (2011)
Bo Li, Weiguo Cao, Jizhong Zhou, Feng Luo
Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions. BMC Syst. Biol. 5 (2011)
Roger L. Chang, Feng Luo, Stuart Johnson, Richard H. Scheuermann
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks. Int. J. Bioinform. Res. Appl. 6 (2) (2010)
Bo Li, James Z. Wang, F. Alex Feltus, Jizhong Zhou, Feng Luo
Effectively integrating information content and structural relationship to improve the GO-based similarity measure between proteins CoRR (2010)
Bo Li, Feng Luo, James Z. Wang, F. Alex Feltus, Jizhong Zhou
Effectively Integrating Information Content and Structural Relationship to Improve the GO-based Similarity Measure Between Proteins. BIOCOMP (2010)
Xumeng Li, F. Alex Feltus, Xiaoqian Sun, James Zijun Wang, Feng Luo
A non-parameter Ising model for network-based identification of differentially expressed genes in recurrent breast cancer patients. BIBM (2010)
Bo Li, Feng Luo
Predicting Yeast Synthetic Lethal Genetic Interactions Using Protein Domains. BIBM (2009)
Feng Luo, Bo Li, Xiu-Feng Wan, Richard H. Scheuermann
Core and periphery structures in protein interaction networks. BMC Bioinform. 10 (S-4) (2009)
Feng Luo, James Zijun Wang, Eric Promislow
Exploring local community structures in large networks. Web Intell. Agent Syst. 6 (4) (2008)
Thomas Grindinger, Feng Luo, Xiu-Feng Wan, Richard H. Scheuermann
Exploring Core/Periphery Structures in Protein Interaction Networks Provides Structure-Property Relation Insights. BIBM (2008)
Yunfeng Yang, Daniel Harris, Feng Luo, Liyou Wu, Andrea Parsons, Anthony Palumbo, Jizhong Zhou
Physiological and Transcriptomic Analyses to Characterize the Function of Fur and Iron Response in Shewanella Oneidensis. BIOCOMP (2007)
Feng Luo, Yunfeng Yang, Chin-Fu Chen, Roger L. Chang, Jizhong Zhou, Richard H. Scheuermann
Modular organization of protein interaction networks. Bioinform. 23 (2) (2007)
Feng Luo, Yunfeng Yang, Chin-Fu Chen, Roger L. Chang, Jizhong Zhou, Richard H. Scheuermann
Modular organization of protein interaction networks. Bioinform. 23 (7) (2007)
Feng Luo, Yunfeng Yang, Jianxin Zhong, Haichun Gao, Latifur Khan, Dorothea K. Thompson, Jizhong Zhou
Constructing gene co-expression networks and predicting functions of unknown genes by random matrix theory. BMC Bioinform. 8 (2007)
Xiu-Feng Wan, Guorong Chen, Feng Luo, Michael Emch, Ruben O. Donis
A quantitative genotype algorithm reflecting H5N1 Avian influenza niches. Bioinform. 23 (18) (2007)
Feng Luo, James Zijun Wang, Eric Promislow
Exploring Local Community Structures in Large Networks. Web Intelligence (2006)
Feng Luo, Richard H. Scheuermann
Detecting Functional Modules from Protein Interaction Networks. IMSCCS (1) (2006)
Latifur Khan, Feng Luo
Hierarchical Clustering for Complex Data. Int. J. Artif. Intell. Tools 14 (5) (2005)
Feng Luo, Latifur Khan, Farokh B. Bastani, I-Ling Yen, Jizhong Zhou
A dynamically growing self-organizing tree (DGSOT) for hierarchical clustering gene expression profiles. Bioinform. 20 (16) (2004)
Feng Luo, Kun Tang, Latifur Khan
Hierarchical Clustering of Gene Expression Data. BIBE (2003)
Latifur Khan, Feng Luo
Ontology Construction for Information Selection. ICTAI (2002)