Guangzhi Qu

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 38

Top Topics

Similarity Computation

Collaborative Filtering Recommender Systems

Tensor Factorization

Convolutional Neural Networks

Top Venues

HPCC/SmartCity/DSS

Publications

Bo Liu, Zhihan Wang, Jidong Zhang, Jiahui Wu, Guangzhi Qu
DeepSIM: a novel deep learning method for graph similarity computation. Soft Comput. 28 (1) (2024)
Wenbin Huang, Rui Tang, Guangzhi Qu, Feng Zhang
An XGBoost-Based Method for Improved Orbit Prediction With an Orbit-Separate Modeling Strategy. IEEE Trans. Aerosp. Electron. Syst. 60 (4) (2024)
Xuke Yan, Bo Liu, Guangzhi Qu
Efficient Monocular Human Pose Estimation Based on Deep Learning Methods: A Survey. IEEE Access 12 (2024)
Feng Zhang, Hao Wang, Ruixin Guo, Erkang Xue, Guangzhi Qu
Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm. ISPA/BDCloud/SocialCom/SustainCom (2023)
Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu
SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation. ICDM (Workshops) (2023)
Bo Liu, Xingrui Li, Huina Wang, Shuangtao Zhao, Jianqiang Li, Guangzhi Qu, Fei Wang
Retyping of triple-negative breast cancer based on clustering method. Expert Syst. J. Knowl. Eng. 40 (2) (2023)
Feng Zhang, Erkang Xue, Ruixin Guo, Guangzhi Qu, Gansen Zhao, Albert Y. Zomaya
DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization. IEEE Trans. Parallel Distributed Syst. 33 (6) (2022)
Xiao Yue, Guangzhi Qu, Bo Liu, Feng Zhang
Edge utilization in graph convolutional networks for graph classification. ICMLA (2022)
Xuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu
A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment. ICMLA (2022)
Bo Liu, Zhuo Su, Guangzhi Qu
AIP: A Named Entity Recognition Method Combining Glyphs and Sounds. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (6) (2022)
Bo Liu, Jidong Zhang, Yuxiao Xu, Jianqiang Li, Yan Pei, Guangzhi Qu
A multimodal sentiment recognition method based on attention mechanism. AICCC (2022)
Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
Exploit the data level parallelism and schedule dependent tasks on the multi-core processors. Inf. Sci. 585 (2022)
Kuan Xu, Bo Liu, Jianqiang Li, Yong Li, Chen HL, Guangzhi Qu
Automatic text summary generation method based on hybrid model DNM. SMC (2021)
Bo Liu, Haipeng Jing, Guangzhi Qu, Hans W. Guesgen
Cascaded Segmented Matting Network for Human Matting. IEEE Access 9 (2021)
Bo Liu, Xi He, Mingdong Song, Jiangqiang Li, Guangzhi Qu, Jianlei Lang, Rentao Gu
A Method for Mining Granger Causality Relationship on Atmospheric Visibility. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Bo Liu, Shuo Yan, Jianqiang Li, Yong Li, Jianlei Lang, Guangzhi Qu
A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing. IEEE Trans. Comput. Soc. Syst. 8 (3) (2021)
Ruixin Guo, Erkang Xue, Feng Zhang, Gansen Zhao, Guangzhi Qu
Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely. Computing 102 (6) (2020)
Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu
Optimizing FHEW With Heterogeneous High-Performance Computing. IEEE Trans. Ind. Informatics 16 (8) (2020)
Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
Parallelization Planning for Legacy Programs: A Multi-Objective Genetic Algorithm Approach. HPCC/SmartCity/DSS (2019)
Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
Task Decomposition and Parallelization Planning for Automotive Power-Train Applications. ISPA/BDCloud/SocialCom/SustainCom (2019)
Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
A Temporal Dependency Aware Approach for Scheduling Real-Time Tasks on Multi-Core Platforms. HPCC/SmartCity/DSS (2019)
Bo Liu, Haipeng Jing, Jianqiang Li, Yong Li, Guangzhi Qu, Rentao Gu
Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network. SMC (2019)
Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu
Accelerating Homomorphic Full Adder Based on FHEW Using Multicore CPU and GPUs. HPCC/SmartCity/DSS (2019)
Erkang Xue, Ruixin Guo, Feng Zhang, Lizhe Wang, Xiaohan Zhang, Guangzhi Qu
Distributed Differentially Private Matrix Factorization Based on ADMM. HPCC/SmartCity/DSS (2019)
Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu
A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction. IEEE Access 7 (2019)
Anyi Liu, Guangzhi Qu
H-Verifier: Verifying Confidential System State with Delegated Sandboxes. SciSec (2018)
Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu
An Attention-Based Air Quality Forecasting Method. ICMLA (2018)
Zijun Han, Guangzhi Qu, Bo Liu, Anyi Liu, Weihua Cai, Dona Burkard
Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs. AI4I (2018)
Paula Lauren, Guangzhi Qu, Jucheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse
Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks. Cogn. Comput. 10 (4) (2018)
Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
Discriminant document embeddings with an extreme learning machine for classifying clinical narratives. Neurocomputing 277 (2018)
Xiao Yue, Guangzhi Qu, Bo Liu, Anyi Liu
Detection Sound Source Direction in 3D Space Using Convolutional Neural Networks. AI4I (2018)
Paula Lauren, Guangzhi Qu, Paul Watta
Convolutional neural network for clinical narrative categorization. IEEE BigData (2017)
Charles Lucero, Guangzhi Qu
Effects Analysis of Archetecture Changes to Convolutional Neural Networks. SKG (2017)
Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse
A low-dimensional vector representation for words using an extreme learning machine. IJCNN (2017)
Zijun Han, Guangzhi Qu, Dona Burkard, Kelvin Dobbins
A Memory Access Pattern-Based Program Profiling System for Dynamic Parallelism Prediction. Trustcom/BigDataSE/ISPA (2016)
Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Chunming Rong, Guangzhi Qu
Fast algorithms to evaluate collaborative filtering recommender systems. Knowl. Based Syst. 96 (2016)
Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
Clinical narrative classification using discriminant word embeddings with ELM. IJCNN (2016)
Joshua Knapp, Guangzhi Qu, Feng Zhang
Automatic Species Recognition Based on Improved Birdsong Analysis. ICMLA (2016)
Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Guangzhi Qu
Simple is Beautiful: An Online Collaborative Filtering Recommendation Solution with Higher Accuracy. APWeb (2015)
Maen Hammond, Guangzhi Qu, Osamah A. Rawashdeh
Deploying and Scheduling Vision Based Advanced Driver Assistance Systems (ADAS) on Heterogeneous Multicore Embedded Platform. FCST (2015)
Rami Abousleiman, Guangzhi Qu, Osamah A. Rawashdeh
North Atlantic Right Whale Contact Call Detection CoRR (2013)
Qingsong Cai, Jianwei Niu, Guangzhi Qu
Identifying high dissemination capability nodes in opportunistic social networks. WCNC (2013)
Guangzhi Qu
Solving minimum cut based multi-label classification problem with semi-definite programming method. IRI (2013)
Srikar Mohan, Guangzhi Qu, Fatma Mili
Security Analysis of Opportunistic Networks Using Complex Network Properties. WASA (2012)
Guangzhi Qu, Hui Wu
Bucket Learning: Improving model quality through enhancing local patterns. Knowl. Based Syst. 27 (2012)
Osamah A. Rawashdeh, Waseem Sa'deh, Muawea Rawashdeh, Guangzhi Qu, Marisa Ferrari, Barbara Harrison, Robert Hammond, Michael E. Maddens
Development of a low-cost fall intervention system for hospitalized dementia patients. EIT (2012)
Chao Tong, Jianwei Niu, Guangzhi Qu, Xiang Long, Xiaopeng Gao
Complex networks properties analysis for mobile ad hoc networks. IET Commun. 6 (4) (2012)
Carl Hulett, Andy Hall, Guangzhi Qu
Dynamic selection of k nearest neighbors in instance-based learning. IRI (2012)
Andy Hall, Guangzhi Qu, Ishwar K. Sethi, Craig T. Hartrick
Tensor-Based Temporal Behavior Analysis in Pain Medicine. ICMLA (1) (2012)
Guangzhi Qu, Hui Wu, Craig T. Hartrick, Jianwei Niu
Local analgesia adverse effects prediction using multi-label classification. Neurocomputing 92 (2012)
Guangzhi Qu, Hui Wu
A weighted-graph-based approach for diversifying search results. Int. J. Knowl. Web Intell. 2 (1) (2011)
Jake Wendt, Guangzhi Qu, Jianwei Niu
Modelling the Behaviour of Crowds in Panicked Conditions. AMT (2011)
Guangzhi Qu, Hui Zhang, Craig T. Hartrick
Multi-label classification with Bayes' theorem. BMEI (2011)
Hui Wu, Guangzhi Qu, Xingquan Zhu
Self-adjust Local Connectivity Analysis for Spectral Clustering. PAKDD (1) (2011)
Yazhi Liu, Jianwei Niu, Guangzhi Qu, Qingsong Cai, Jian Ma
Message delivery delay analysis in VANETs with a bidirectional traffic model. IWCMC (2011)
Guangzhi Qu, Hui Wu, Ishwar K. Sethi, Craig T. Hartrick
Neuropathic Pain Scale Based Clustering for Subgroup Analysis in Pain Medicine. ICMLA (2010)
Guangzhi Qu, Michael M. Nefcy
Empirical Analysis of Local Round Trip Time for Wireless Traffic Differentiation. QSHINE (2010)
Pengxuan Mao, Yang Xiao, Guangzhi Qu, Seok Woo, Kiseon Kim
Hybrid traffics congestion control based on 2-D Hurwitz-Schur stability. ICARCV (2010)
Yong-Zhong He, Zhen Han, Huirong Fu, Guangzhi Qu
The Formal Model of DBMS Enforcing Multiple Security Polices. J. Softw. 5 (5) (2010)
Guangzhi Qu, Osamah A. Rawashdeh, Dunren Che
Self-Protection against Attacks in an Autonomic Computing Environment. Int. J. Comput. Their Appl. 17 (4) (2010)
Guangzhi Qu, Michael M. Nefcy
RAPiD: An indirect rogue access points detection system. IPCCC (2010)
Guangzhi Qu, Hui Wu, Tao Xia
A Linear Integer Programming Approach to Objective Aware Feature Selection. DMIN (2009)
Guangzhi Qu
An Information Theoretic Model for Protocol Graph Based Anomaly Analysis. CATA (2009)
Guangzhi Qu, Hui Wu
Bucket Learning: Improving Model Quality through Enhancing Local Patterns. ICDM Workshops (2009)
Guangzhi Qu, Osamah A. Rawashdeh, Salim Hariri
Self-Protection against Attacks in an Autonomic Computing Environment. CAINE (2009)
Youssif B. Al-Nashif, Aarthi Arun Kumar, Salim Hariri, Yi Luo, Ferenc Szidarovszky, Guangzhi Qu
Multi-Level Intrusion Detection System (ML-IDS). ICAC (2008)
Huoping Chen, Youssif B. Al-Nashif, Guangzhi Qu, Salim Hariri
Self-Configuration of Network Security. EDOC (2007)
Samer Fayssal, Salim Hariri, Youssif B. Al-Nashif, Guangzhi Qu
Anomaly-Based Behavior Analysis of Wireless Network Security. MobiQuitous (2007)
Guangzhi Qu, Salim Hariri, Mazin S. Yousif
A New Dependency and Correlation Analysis for Features. IEEE Trans. Knowl. Data Eng. 17 (9) (2005)
Guangzhi Qu, Salim Hariri, Mazin S. Yousif
Multivariate statistical analysis for network attacks detection. AICCSA (2005)
Salim Hariri, Guangzhi Qu, R. Modukuri, Huoping Chen, Mazin S. Yousif
Quality-of-protection (QoP)-an online monitoring and self-protection mechanism. IEEE J. Sel. Areas Commun. 23 (10) (2005)
Tao Xia, Guangzhi Qu, Salim Hariri, Mazin S. Yousif
An efficient network intrusion detection method based on information theory and genetic algorithm. IPCCC (2005)
Guangzhi Qu, Salim Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, Samer Fayssal, Guangsen Zhang, Manish Parashar
Online Monitoring and Analysis for Self-Protection against Network Attacks. ICAC (2004)
Guangzhi Qu, Salim Hariri, Santosh Jangiti, Suhail Hussain, Seungchan Oh, Samer Fayssal, Mazin S. Yousif
Abnormality Metrics to Detect and Protect against Network Attacks. ICPS (2004)
Salim Hariri, Tushneem Dharmagadda, Modukuri Ramkishore, Guangzhi Qu, Cauligi S. Raghavendra
Vulnerability Analysis of Faults/Attacks in Network Centric Systems. PDCS (2003)
Salim Hariri, Guangzhi Qu, Tushneem Dharmagadda, Modukuri Ramkishore, Cauligi S. Raghavendra
Impact Analysis of Faults and Attacks in Large-Scale Networks. IEEE Secur. Priv. 1 (5) (2003)
Guangzhi Qu, Jayprakash Rudraraju, R. Modukuri, Salim Hariri, Cauligi S. Raghavendra
A Framework for Network Vulnerability Analysis. Communications, Internet, and Information Technology (2002)