Guangzhi Qu - RankMe

91 papers A 1B 7C 16Misc 4Journal 32Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Achieving Robust and Faithful Explanations via Conditional Pairwise Contrast. ICDM (Workshops) Lige Gan, Jinzhao He, Xiao Yue, Guangzhi Qu
2025	Misc	`conf`	An Explainable AI Framework for Wire Crimping Specification Prediction and Toolset Family Identification. IRI Lige Gan, Xiao Yue, Bryan Sandoval, Michael Boyd, Guangzhi Qu
2025	—	`conf`	CSMSA: Cross-Space Multiscale Adaptive Link Prediction for ceRNA-Mediated Multimolecular Disease Regulatory Networks. BCB Junqi Long, Jianqiang Li, Guangzhi Qu, Kun Liu, Bo Liu
2025	J	`jnl`	Edged Weisfeiler-Lehman Algorithm. CoRR Xiao Yue, Bo Liu, Feng Zhang, Guangzhi Qu
2025	C	`conf`	Fusing Camera and Electromyography Data for Enhanced Range of Motion Assessment. ICMLA Xuke Yan, Bo Liu, Jinzhao He, Guangzhi Qu
2025	J	`jnl`	GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks. CoRR Xiao Yue, Guangzhi Qu, Lige Gan
2025	J	`jnl`	Improving density peak clustering on multi-dimensional time series: rediscover and subdivide. Knowl. Inf. Syst. Huina Wang, Bo Liu, Huaipu Zhao, Guangzhi Qu
2025	A	`conf`	Locality Aware Process Remapping for Distributed-Memory Graph Workloads. IPDPS Md Nahid Newaz, Sayan Ghosh, Nathan R. Tallent, Guangzhi Qu
2025	J	`jnl`	QuaDCNN: Quantized compression of deep CNN based on tensor-train decomposition with automatic rank determination. Neurocomputing Xiandong Sun, Enze Zhu, Guangzhi Qu, Feng Zhang
2025	J	`jnl`	Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification. Complex Intell. Syst. Bin Yang, Lei Ding, Jianqiang Li, Yong Li, Guangzhi Qu, Jingyi Wang, Qiang Wang, Bo Liu
2024	J	`jnl`	An XGBoost-Based Method for Improved Orbit Prediction With an Orbit-Separate Modeling Strategy. IEEE Trans. Aerosp. Electron. Syst. Wenbin Huang, Rui Tang, Guangzhi Qu, Feng Zhang
2024	J	`jnl`	DeepSIM: a novel deep learning method for graph similarity computation. Soft Comput. Bo Liu, Zhihan Wang, Jidong Zhang, Jiahui Wu, Guangzhi Qu
2024	J	`jnl`	Earth Observation Data Provenance: A Blockchain-Based Solution. IEEE Trans. Ind. Informatics Feng Zhang, Zihao Wang, Ruixin Guo, Guangzhi Qu
2024	—	`conf`	Edged Weisfeiler-Lehman Algorithm. ICANN (5) Xiao Yue, Bo Liu, Feng Zhang, Guangzhi Qu
2024	J	`jnl`	Efficient Monocular Human Pose Estimation Based on Deep Learning Methods: A Survey. IEEE Access Xuke Yan, Bo Liu, Guangzhi Qu
2024	C	`conf`	LSAFE: a Lightweight Static Analysis Framework for binary Executables. IPCCC Xiao Yue, Guangzhi Qu
2023	—	`conf`	Efficient Differentially Private Tensor Factorization in the Parallel and Distributed Computing Paradigm. ISPA/BDCloud/SocialCom/SustainCom Feng Zhang, Hao Wang, Ruixin Guo, Erkang Xue, Guangzhi Qu
2023	J	`jnl`	Retyping of triple-negative breast cancer based on clustering method. Expert Syst. J. Knowl. Eng. Bo Liu, Xingrui Li, Huina Wang, Shuangtao Zhao, Jianqiang Li, Guangzhi Qu, Fei Wang
2023	—	`conf`	SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation. ICDM (Workshops) Lige Gan, Bo Liu, Andrew Meng, Feng Zhang, Guangzhi Qu
2022	C	`conf`	A Lightweight and Fast Approach for Upper Limb Range of Motion Assessment. ICMLA Xuke Yan, Linxi Zhang, Bo Liu, Guangzhi Qu
2022	—	`conf`	A multimodal sentiment recognition method based on attention mechanism. AICCC Bo Liu, Jidong Zhang, Yuxiao Xu, Jianqiang Li, Yan Pei, Guangzhi Qu
2022	J	`jnl`	AIP: A Named Entity Recognition Method Combining Glyphs and Sounds. ACM Trans. Asian Low Resour. Lang. Inf. Process. Bo Liu, Zhuo Su, Guangzhi Qu
2022	J	`jnl`	DS-ADMM++: A Novel Distributed Quantized ADMM to Speed up Differentially Private Matrix Factorization. IEEE Trans. Parallel Distributed Syst. Feng Zhang, Erkang Xue, Ruixin Guo, Guangzhi Qu, Gansen Zhao, Albert Y. Zomaya
2022	C	`conf`	Edge utilization in graph convolutional networks for graph classification. ICMLA Xiao Yue, Guangzhi Qu, Bo Liu, Feng Zhang
2022	J	`jnl`	Exploit the data level parallelism and schedule dependent tasks on the multi-core processors. Inf. Sci. Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
2021	C	`ed.`	20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, Pasadena, CA, USA, December 13-16, 2021 ICMLA M. Arif Wani, Ishwar K. Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin
2021	J	`jnl`	A Method for Mining Granger Causality Relationship on Atmospheric Visibility. ACM Trans. Knowl. Discov. Data Bo Liu, Xi He, Mingdong Song, Jianqiang Li, Guangzhi Qu, Jianlei Lang, Rentao Gu
2021	J	`jnl`	A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing. IEEE Trans. Comput. Soc. Syst. Bo Liu, Shuo Yan, Jianqiang Li, Yong Li, Jianlei Lang, Guangzhi Qu
2021	B	`conf`	Automatic text summary generation method based on hybrid model DNM. SMC Kuan Xu, Bo Liu, Jianqiang Li, Yong Li, Chen HL, Guangzhi Qu
2021	J	`jnl`	Cascaded Segmented Matting Network for Human Matting. IEEE Access Bo Liu, Haipeng Jing, Guangzhi Qu, Hans W. Guesgen
2020	J	`jnl`	Optimizing FHEW With Heterogeneous High-Performance Computing. IEEE Trans. Ind. Informatics Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu
2020	J	`jnl`	Optimizing the confidence bound of count-min sketches to estimate the streaming big data query results more precisely. Computing Ruixin Guo, Erkang Xue, Feng Zhang, Gansen Zhao, Guangzhi Qu
2019	J	`jnl`	A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction. IEEE Access Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu
2019	—	`conf`	A Temporal Dependency Aware Approach for Scheduling Real-Time Tasks on Multi-Core Platforms. HPCC/SmartCity/DSS Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
2019	—	`conf`	Accelerating Homomorphic Full Adder Based on FHEW Using Multicore CPU and GPUs. HPCC/SmartCity/DSS Xinya Lei, Ruixin Guo, Feng Zhang, Lizhe Wang, Rui Xu, Guangzhi Qu
2019	—	`conf`	Distributed Differentially Private Matrix Factorization Based on ADMM. HPCC/SmartCity/DSS Erkang Xue, Ruixin Guo, Feng Zhang, Lizhe Wang, Xiaohan Zhang, Guangzhi Qu
2019	B	`conf`	Image Segmentation of Salt Deposits Using Deep Convolutional Neural Network. SMC Bo Liu, Haipeng Jing, Jianqiang Li, Yong Li, Guangzhi Qu, Rentao Gu
2019	—	`conf`	Parallelization Planning for Legacy Programs: A Multi-Objective Genetic Algorithm Approach. HPCC/SmartCity/DSS Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
2019	—	`conf`	Task Decomposition and Parallelization Planning for Automotive Power-Train Applications. ISPA/BDCloud/SocialCom/SustainCom Zijun Han, Guangzhi Qu, Bo Liu, Feng Zhang
2018	C	`conf`	An Attention-Based Air Quality Forecasting Method. ICMLA Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu
2018	—	`conf`	Detection Sound Source Direction in 3D Space Using Convolutional Neural Networks. AI4I Xiao Yue, Guangzhi Qu, Bo Liu, Anyi Liu
2018	J	`jnl`	Discriminant document embeddings with an extreme learning machine for classifying clinical narratives. Neurocomputing Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
2018	J	`jnl`	Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks. Cogn. Comput. Paula Lauren, Guangzhi Qu, JuCheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse
2018	—	`conf`	Genetic Algorithm Based Parallelization Planning for Legacy Real-Time Embedded Programs. AI4I Zijun Han, Guangzhi Qu, Bo Liu, Anyi Liu, Weihua Cai, Dona Burkard
2018	—	`conf`	H-Verifier: Verifying Confidential System State with Delegated Sandboxes. SciSec Anyi Liu, Guangzhi Qu
2017	B	`conf`	A low-dimensional vector representation for words using an extreme learning machine. IJCNN Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse
2017	—	`conf`	Convolutional neural network for clinical narrative categorization. IEEE BigData Paula Lauren, Guangzhi Qu, Paul Watta
2017	—	`conf`	Effects Analysis of Archetecture Changes to Convolutional Neural Networks. SKG Charles Lucero, Guangzhi Qu
2016	—	`conf`	A Memory Access Pattern-Based Program Profiling System for Dynamic Parallelism Prediction. Trustcom/BigDataSE/ISPA Zijun Han, Guangzhi Qu, Dona Burkard, Kelvin Dobbins
2016	C	`conf`	Automatic Species Recognition Based on Improved Birdsong Analysis. ICMLA Joshua Knapp, Guangzhi Qu, Feng Zhang
2016	B	`conf`	Clinical narrative classification using discriminant word embeddings with ELM. IJCNN Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse
2016	J	`jnl`	Fast algorithms to evaluate collaborative filtering recommender systems. Knowl. Based Syst. Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Chunming Rong, Guangzhi Qu
2015	—	`conf`	Deploying and Scheduling Vision Based Advanced Driver Assistance Systems (ADAS) on Heterogeneous Multicore Embedded Platform. FCST Maen Hammond, Guangzhi Qu, Osamah A. Rawashdeh
2015	C	`conf`	Simple is Beautiful: An Online Collaborative Filtering Recommendation Solution with Higher Accuracy. APWeb Feng Zhang, Ti Gong, Victor E. Lee, Gansen Zhao, Guangzhi Qu
2013	B	`conf`	Identifying high dissemination capability nodes in opportunistic social networks. WCNC Qingsong Cai, Jianwei Niu, Guangzhi Qu
2013	J	`jnl`	North Atlantic Right Whale Contact Call Detection CoRR Rami Abousleiman, Guangzhi Qu, Osamah A. Rawashdeh
2013	Misc	`conf`	Solving minimum cut based multi-label classification problem with semi-definite programming method. IRI Guangzhi Qu
2012	J	`jnl`	Bucket Learning: Improving model quality through enhancing local patterns. Knowl. Based Syst. Guangzhi Qu, Hui Wu
2012	J	`jnl`	Complex networks properties analysis for mobile ad hoc networks. IET Commun. Chao Tong, Jianwei Niu, Guangzhi Qu, Xiang Long, Xiaopeng Gao
2012	—	`conf`	Development of a low-cost fall intervention system for hospitalized dementia patients. EIT Osamah A. Rawashdeh, Waseem Sa'deh, Muawea Rawashdeh, Guangzhi Qu, Marisa Ferrari, Barbara Harrison, Robert Hammond, Michael E. Maddens
2012	Misc	`conf`	Dynamic selection of k nearest neighbors in instance-based learning. IRI Carl Hulett, Andy Hall, Guangzhi Qu
2012	J	`jnl`	Local analgesia adverse effects prediction using multi-label classification. Neurocomputing Guangzhi Qu, Hui Wu, Craig T. Hartrick, Jianwei Niu
2012	—	`conf`	Security Analysis of Opportunistic Networks Using Complex Network Properties. WASA Srikar Mohan, Guangzhi Qu, Fatma Mili
2012	—	`conf`	Tensor-Based Temporal Behavior Analysis in Pain Medicine. ICMLA (1) Andy Hall, Guangzhi Qu, Ishwar K. Sethi, Craig T. Hartrick
2011	J	`jnl`	A weighted-graph-based approach for diversifying search results. Int. J. Knowl. Web Intell. Guangzhi Qu, Hui Wu
2011	B	`conf`	Message delivery delay analysis in VANETs with a bidirectional traffic model. IWCMC Yazhi Liu, Jianwei Niu, Guangzhi Qu, Qingsong Cai, Jian Ma
2011	—	`conf`	Modelling the Behaviour of Crowds in Panicked Conditions. AMT Jake Wendt, Guangzhi Qu, Jianwei Niu
2011	—	`conf`	Multi-label classification with Bayes' theorem. BMEI Guangzhi Qu, Hui Zhang, Craig T. Hartrick
2011	—	`conf`	Self-adjust Local Connectivity Analysis for Spectral Clustering. PAKDD (1) Hui Wu, Guangzhi Qu, Xingquan Zhu
2010	C	`conf`	Empirical Analysis of Local Round Trip Time for Wireless Traffic Differentiation. QSHINE Guangzhi Qu, Michael M. Nefcy
2010	C	`conf`	Hybrid traffics congestion control based on 2-D Hurwitz-Schur stability. ICARCV Pengxuan Mao, Yang Xiao, Guangzhi Qu, Seok Woo, Kiseon Kim
2010	C	`conf`	Neuropathic Pain Scale Based Clustering for Subgroup Analysis in Pain Medicine. ICMLA Guangzhi Qu, Hui Wu, Ishwar K. Sethi, Craig T. Hartrick
2010	C	`conf`	RAPiD: An indirect rogue access points detection system. IPCCC Guangzhi Qu, Michael M. Nefcy
2010	J	`jnl`	Self-Protection against Attacks in an Autonomic Computing Environment. Int. J. Comput. Their Appl. Guangzhi Qu, Osamah A. Rawashdeh, Dunren Che
2010	J	`jnl`	The Formal Model of DBMS Enforcing Multiple Security Polices. J. Softw. Yong-Zhong He, Zhen Han, Huirong Fu, Guangzhi Qu
2009	—	`conf`	A Linear Integer Programming Approach to Objective Aware Feature Selection. DMIN Guangzhi Qu, Hui Wu, Tao Xia
2009	Misc	`conf`	An Information Theoretic Model for Protocol Graph Based Anomaly Analysis. CATA Guangzhi Qu
2009	—	`conf`	Bucket Learning: Improving Model Quality through Enhancing Local Patterns. ICDM Workshops Guangzhi Qu, Hui Wu
2009	C	`conf`	Self-Protection against Attacks in an Autonomic Computing Environment. CAINE Guangzhi Qu, Osamah A. Rawashdeh, Salim Hariri
2008	—	`conf`	Multi-Level Intrusion Detection System (ML-IDS). ICAC Youssif B. Al-Nashif, Aarthi Arun Kumar, Salim Hariri, Yi Luo, Ferenc Szidarovszky, Guangzhi Qu
2007	C	`conf`	Anomaly-Based Behavior Analysis of Wireless Network Security. MobiQuitous Samer Fayssal, Salim Hariri, Youssif B. Al-Nashif, Guangzhi Qu
2007	B	`conf`	Self-Configuration of Network Security. EDOC Huoping Chen, Youssif B. Al-Nashif, Guangzhi Qu, Salim Hariri
2005	J	`jnl`	A New Dependency and Correlation Analysis for Features. IEEE Trans. Knowl. Data Eng. Guangzhi Qu, Salim Hariri, Mazin S. Yousif
2005	C	`conf`	An efficient network intrusion detection method based on information theory and genetic algorithm. IPCCC Tao Xia, Guangzhi Qu, Salim Hariri, Mazin S. Yousif
2005	C	`conf`	Multivariate statistical analysis for network attacks detection. AICCSA Guangzhi Qu, Salim Hariri, Mazin S. Yousif
2005	J	`jnl`	Quality-of-protection (QoP)-an online monitoring and self-protection mechanism. IEEE J. Sel. Areas Commun. Salim Hariri, Guangzhi Qu, R. Modukuri, Huoping Chen, Mazin S. Yousif
2004	—	`conf`	Abnormality Metrics to Detect and Protect against Network Attacks. ICPS Guangzhi Qu, Salim Hariri, Santosh Jangiti, Suhail Hussain, Seungchan Oh, Samer Fayssal, Mazin S. Yousif
2004	—	`conf`	Online Monitoring and Analysis for Self-Protection against Network Attacks. ICAC Guangzhi Qu, Salim Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, Samer Fayssal, Guangsen Zhang, Manish Parashar
2003	J	`jnl`	Impact Analysis of Faults and Attacks in Large-Scale Networks. IEEE Secur. Priv. Salim Hariri, Guangzhi Qu, Tushneem Dharmagadda, Modukuri Ramkishore, Cauligi S. Raghavendra
2003	—	`conf`	Vulnerability Analysis of Faults/Attacks in Network Centric Systems. PDCS Salim Hariri, Tushneem Dharmagadda, Modukuri Ramkishore, Guangzhi Qu, Cauligi S. Raghavendra
2002	—	`conf`	A Framework for Network Vulnerability Analysis. Communications, Internet, and Information Technology Guangzhi Qu, Jayprakash Rudraraju, R. Modukuri, Salim Hariri, Cauligi S. Raghavendra