Justin Zhan

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 75

Top Venues

Publications

Usman Anjum, Samuel Lin, Justin Zhan
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series. CoRR (2023)
Yen-Chen Li, Justin Zhan
Effect of Dimensionality Reduction on Uncertainty Quantification in Trustworthy Machine Learning. ICMLC (2023)
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
WaveNets: Wavelet Channel Attention Networks. CoRR (2022)
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
WaveNets: Wavelet Channel Attention Networks. Big Data (2022)
Benjamin J. Lowe, Hadi Salman, Justin Zhan
GHM Wavelet Transform for Deep Image Super Resolution. CoRR (2022)
Matthew Swan, Justin Zhan
Clustering Hypergraphs via the MapEquation. IEEE Access 9 (2021)
Kate Pearce, Tiffany Zhan, Aneesh Komanduri, Justin Zhan
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering. CoRR (2021)
Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen
Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. Patterns 2 (8) (2021)
Carson Molder, Benjamin J. Lowe, Justin Zhan
Learning Medical Materials From Radiography Images. Frontiers Artif. Intell. 4 (2021)
Aneesh Komanduri, Justin Zhan
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. ICMLA (2021)
Aneesh Komanduri, Justin Zhan
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. CoRR (2021)
Michael R. Schwob, Justin Zhan, Aeren Dempsey
Modeling Cell Communication with Time-Dependent Signaling Hypergraphs. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Alycia N. Carey, Justin Zhan
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. IEEE BigData (2020)
Zhiwei Fang, Justin Zhan
A Physics-Informed Neural Network Framework for PDEs on 3D Surfaces: Time Independent Problems. IEEE Access 8 (2020)
Hadi Salman, Justin Zhan
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. IEEE BigData (2020)
Hadi Salman, Justin Zhan
Similarity Metric for Millions of Unlabeled Face Images. CCWC (2020)
Michael R. Schwob, Aeren Dempsey, Felix Zhan, Justin Zhan, Asif Mehmood
Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks. IEEE Access 8 (2020)
Binay Dahal, Justin Zhan
Effective Mutation and Recombination for Evolving Convolutional Networks. APPIS (2020)
Zhiwei Fang, Justin Zhan
Deep Physical Informed Neural Networks for Metamaterial Design. IEEE Access 8 (2020)
Dorothy Hua, Julia Gao, Roger Mayo, Albert Smedley, Piyush Puranik, Justin Zhan
Segregating Hazardous Waste Using Deep Neural Networks in Real-Time Video. CCWC (2020)
Tiffany Zhan, Felix Zhan, Vince Choi, Justin Zhan, Sarah Deniz, Adrian Ng, Patricio Gonzalez, Ivy Whaley, Dennis Garcia, Sam Vinh, Jeremy Eddy
Using Convolutional Neural Networks to Analyze X-Ray Radiographs for Multi-Label Classifications of Thoracic Diseases. CCWC (2020)
Justin Zhan, Peter J.-S. Shiue, Shen C. Huang, Benjamin J. Lowe
Towards a Novel Generalized Chinese Remainder Algorithm for Extended Rabin Cryptosystem. IEEE Access 8 (2020)
Binay Dahal, Justin Zhan
USRRM: Pairwise Ranking and Scoring Images Using Its Aesthetic Quality. IEEE Access 7 (2019)
Carter Chiu, Justin Zhan
An Evolutionary Approach to Compact DAG Neural Network Optimization. IEEE Access 7 (2019)
Ethan Hunt, Binay Dahal, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh, Ritvik Janamsetty, Chanana Kinares, Chanel Koh, Alexis Sanchez, Felix Zhan, Murat Özdemir, Shabnam Waseem, Osman Yolcu
Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection. ICBK (2019)
Sanket Chobe, Justin Zhan
Advancing community detection using Keyword Attribute Search. J. Big Data 6 (2019)
Alexia Dreher, Alexis Sanchez, Andrea Sedano, Kevin Chung, Michael Dambach, Shabnam Waseem, Blake Hament, Paul Y. Oh, Justin Zhan, Laxmi P. Gewali
Towards Tattoo Previewing and Other Augmented/Mixed Reality Applications with Microsoft Kinect. CCWC (2019)
Felix Zhan, Anthony Martinez, Nilab Rai, Richard Mcconnell, Matthew Swan, Moinak Bhaduri, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation. IEEE Access 7 (2019)
Vanessa Sanchez, Russell Ro, Lauryn Kent, Jamie Navas, Oluwatosin Diyan, Chris Roussel, Shahab Tayeb, Matin Pirouz, Carter Chiu, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
ScanAlert: Electronic Medication Monitor and Reminder to Improve Medical Adherence. CCWC (2019)
Ferdos Fessahaye, Luis Perez, Tiffany Zhan, Raymond Zhang, Calais Fossier, Robyn Markarian, Carter Chiu, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
T-RECSYS: A Novel Music Recommendation System Using Deep Learning. ICCE (2019)
Andrea Hart, Brianna Smith, Sean Smith, Elijah Sales, Jacqueline Hernandez-Camargo, Yarlin Mayor Garcia, Felix Zhan, Lori Griswold, Brian Dunkelberger, Michael R. Schwob, Sharang Chaudhry, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
Resolving intravoxel white matter structures in the human brain using regularized regression and clustering. J. Big Data 6 (2019)
Daniel Pintado, Vanessa Sanchez, Erin Adarve, Mark Mata, Zekeriya Gogebakan, Bunyamin Cabuk, Carter Chiu, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
Deep Learning Based Shopping Assistant For The Visually Impaired. ICCE (2019)
Eryn Aguilar, Benjamin J. Lowe, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh, Jevis Dancel, Deysaree Mamaud, Dorothy Pirosch, Farin Tavacoli, Felix Zhan, Robbie Pearce, Margaret Novack, Hokunani Keehu
Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction. ICBK (2019)
Sarah Deniz, Dakyung Lee, Grace Kurian, Lourdes Altamirano, Darren Yee, Michael Ferra, Blake Hament, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
Computer Vision for Attendance and Emotion Analysis in School Settings. CCWC (2019)
Shahab Tayeb, Abigail Week, Joshua Yee, Mayra Carrera, Kuira Edwards, Vicki Murray-Garcia, Meghann Marchello, Justin Zhan, Matin Pirouz
Toward metadata removal to preserve privacy of social media users. CCWC (2018)
Matin Pirouz, Justin Zhan
Optimized Label Propagation Community Detection on Big Data Networks. ICBDE (2018)
Carter Chiu, Justin Zhan
Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators. IEEE Access 6 (2018)
Felix Zhan, Brandon Waters, Maria Mijangos, LeAnn Chung, Raghav Bhagat, Tanvi Bhagat, Matin Pirouz, Carter Chiu, Shahab Tayeb, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali
An efficient alternative to personalized page rank for friend recommendations. CCNC (2018)
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, Ji Zhang
Exploiting highly qualified pattern with frequency and weight occupancy. Knowl. Inf. Syst. 56 (1) (2018)
Felix Zhan, Gabriella Laines, Sarah Deniz, Sahan Paliskara, Irvin Ochoa, Idania Guerra, Shahab Tayeb, Carter Chiu, Matin Pirouz, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
Prediction of online social networks users' behaviors with a game theoretic approach. CCNC (2018)
Payam Ezatpoor, Justin Zhan, Jimmy Ming-Tai Wu, Carter Chiu
Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework. IEEE Access 6 (2018)
Matin Pirouz, Sai Phani Parsa, Justin Zhan
Optimized Rank Estimator in Big Data Social Networks. ICBDE (2018)
Moinak Bhaduri, Justin Zhan
Using Empirical Recurrence Rates Ratio for Time Series Data Similarity. IEEE Access 6 (2018)
Jerry Chun-Wei Lin, Tzung-Pei Hong, Philippe Fournier-Viger, Qiankun Liu, Jia-Wei Wong, Justin Zhan
Efficient hiding of confidential high-utility itemsets with minimal side effects. J. Exp. Theor. Artif. Intell. 29 (6) (2017)
Moinak Bhaduri, Justin Zhan, Carter Chiu, Felix Zhan
A Novel Online and Non-Parametric Approach for Drift Detection in Big Data. IEEE Access 5 (2017)
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Jimmy Ming-Tai Wu, Justin Zhan
Extracting recent weighted-based patterns from uncertain temporal databases. Eng. Appl. Artif. Intell. 61 (2017)
Pravin Chopade, Justin Zhan
A Framework for Community Detection in Large Networks Using Game-Theoretic Modeling. IEEE Trans. Big Data 3 (3) (2017)
Matin Pirouz, Justin Zhan
Toward Efficient Hub-Less Real Time Personalized PageRank. IEEE Access 5 (2017)
Jimmy Ming-Tai Wu, Justin Zhan, Jerry Chun-Wei Lin
An ACO-based approach to mine high-utility itemsets. Knowl. Based Syst. 116 (2017)
Shahab Tayeb, Matin Pirouz, Gabriel Esguerra, Kimiya Ghobadi, Jimson Huang, Robin Hill, Derwin Lawson, Stone Li, Tiffany Zhan, Justin Zhan, Shahram Latifi
Securing the positioning signals of autonomous vehicles. IEEE BigData (2017)
Shahab Tayeb, Matin Pirouz, Brittany Cozzens, Richard Huang, Maxwell Jay, Kyle Khembunjong, Sahan Paliskara, Felix Zhan, Mark Zhang, Justin Zhan, Shahram Latifi
Toward data quality analytics in signature verification using a convolutional neural network. IEEE BigData (2017)
Jimmy Ming-Tai Wu, Justin Zhan, Jerry Chun-Wei Lin
Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets. IEEE Access 5 (2017)
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan
Mining of frequent patterns with multiple minimum supports. Eng. Appl. Artif. Intell. 60 (2017)
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Justin Zhan
Data mining in distributed environment: a survey. WIREs Data Mining Knowl. Discov. 7 (6) (2017)
Carter Chiu, Justin Zhan, Felix Zhan
Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data. IEEE Access 5 (2017)
Justin Zhan, Sweta Gurung, Sai Phani Krishna Parsa
Identification of top-K nodes in large networks using Katz centrality. J. Big Data 4 (2017)
Justin Zhan, Timothy Rafalski, Gennady Stashkevich, Edward Verenich
Vaccination allocation in large dynamic networks. J. Big Data 4 (2017)
Raymond Ahn, Justin Zhan
Using Proxies for Node Immunization Identification on Large Graphs. IEEE Access 5 (2017)
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Justin Zhan
Cover Image, Volume 7, Issue 6. WIREs Data Mining Knowl. Discov. 7 (6) (2017)
Shahab Tayeb, Matin Pirouz, Johann Sun, Kaylee Hall, Andrew Chang, Jessica Li, Connor Song, Apoorva Chauhan, Michael Ferra, Theresa Sager, Justin Zhan, Shahram Latifi
Toward predicting medical conditions using k-nearest neighbors. IEEE BigData (2017)
Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Tai Wu, Justin Zhan
Efficient Mining of Multiple Fuzzy Frequent Itemsets. Int. J. Fuzzy Syst. 19 (4) (2017)
Moinak Bhaduri, Justin Zhan, Carter Chiu
A Novel Weak Estimator For Dynamic Systems. IEEE Access 5 (2017)
Justin Zhan, Binay Dahal
Using deep learning for short text understanding. J. Big Data 4 (2017)
Haysam Selim, Shahab Tayeb, Yoohwan Kim, Justin Zhan, Matin Pirouz
Vulnerability Analysis of Iframe Attacks on Websites. MISNC (2016)
Matin Pirouz, Justin Zhan
Optimized relativity search: node reduction in personalized page rank estimation for large graphs. J. Big Data 3 (2016)
Justin Zhan, Vivek Guidibande, Sai Phani Krishna Parsa
Identification of top-K influential communities in big networks. J. Big Data 3 (2016)
Jimmy Ming-Thai Wu, Justin Zhan, Jerry Chun-Wei Lin
Mining of High-Utility Itemsets by ACO Algorithm. MISNC (2016)
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan
Efficient mining of high-utility itemsets using multiple minimum utility thresholds. Knowl. Based Syst. 113 (2016)
Haysam Selim, Justin Zhan
Towards shortest path identification on large networks. J. Big Data 3 (2016)
Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Justin Zhan, Miroslav Voznák
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining. Eng. Appl. Artif. Intell. 55 (2016)
Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák
An Efficient Anonymous System for Transaction Data. MISNC (2016)
Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák, Justin Zhan
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 53 (2016)
Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang, Justin Zhan
Mining high-utility itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 55 (2016)
Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák
An efficient algorithm to mine high average-utility itemsets. Adv. Eng. Informatics 30 (2) (2016)
Matin Pirouz, Justin Zhan, Shahab Tayeb
An optimized approach for community detection and ranking. J. Big Data 3 (2016)
Lindsay Simpkins, Xiaohong Yuan, Jwalit Modi, Justin Zhan, Li Yang
A course module on web tracking and privacy. InfoSecCD (2015)
Pravin Chopade, Justin Zhan
Structural and functional analytics for community detection in large-scale complex networks. J. Big Data 2 (2015)
Pravin Chopade, Justin Zhan
Erratum to: Structural and functional analytics for community detection in large-scale complex networks. J. Big Data 2 (2015)
Xing Fang, Justin Zhan
Sentiment analysis using product review data. J. Big Data 2 (2015)
Justin Zhan, Xing Fang
A computational framework for detecting malicious actors in communities. Int. J. Inf. Priv. Secur. Integr. 2 (1) (2014)
Yi-Ting Chiang, Tsan-sheng Hsu, Churn-Jung Liau, Yun-Ching Liu, Chih-Hao Shen, Da-Wei Wang, Justin Zhan
An Information-Theoretic Approach for Secure Protocol Composition. SecureComm (1) (2014)
Ahmad Albu-Shamah, Justin Zhan
Towards Obesity Causes, Prevalence and Prevention. SocialCom (2013)
Arcot Rajasekar, Sharlini Sankaran, Howard Lander, Thomas M. Carsey, Jonathan David Crabtree, Hye-Chung Kum, Mercè Crosas, Gary King, Justin Zhan
Sociometric Methods for Relevancy Analysis of Long Tail Science Data. SocialCom (2013)
Curtis M. Passmore, Justin Zhan
Determining Appropriate Staffing Adjustments in a Call Center Staff Group. SocialCom (2013)
Xing Fang, Justin Zhan, Nicholas Koceja
Towards Network Reduction on Big Data. SocialCom (2013)
Alex Doyal, Justin Zhan
Triple DoS: DDoS defence and traceback. Int. J. Inf. Priv. Secur. Integr. 1 (4) (2013)
Xing Fang, Justin Zhan
A Computational Framework for Detecting Malicious Actors in Communities. SocialInformatics (2012)
Xing Fang, Nicholas Koceja, Justin Zhan, Gerry V. Dozier, Dipankar Dasgupta
An artificial immune system for phishing detection. IEEE Congress on Evolutionary Computation (2012)
Munene W. Kanampiu, Justin Zhan
A Dynamic Covert Passive Actors Detection Scheme for a Healthy Networked Community. CyberSecurity (2012)
Munene W. Kanampiu, Justin Zhan, Jinsuk Baek
A Secure Group Collaboration Protocol for Nonverbal Human Social Signals Featuring Deception Detection. SocialCom/PASSAT (2012)
Xing Fang, Justin Zhan
Task-Oriented Social Ego Network Generation via Dynamic Collaborator Selection. SocialCom/PASSAT (2012)
Alex Doyal, Justin Zhan, Huiming Anna Yu
Towards Defeating DDoS Attacks. CyberSecurity (2012)
Dongsong Zhang, Wenji Mao, Justin Zhan, Daniel Zeng
Editorial: special issue on "social computing and e-business". Inf. Syst. E Bus. Manag. 10 (2) (2012)
Huiming Anna Yu, Jonathan Rann, Justin Zhan
SUCH: A Cloud Computing Management Tool. NTMS (2012)
Justin Zhan, B. John Oommen, Johanna Crisostomo
Anomaly Detection in Dynamic Systems Using Weak Estimators. ACM Trans. Internet Techn. 11 (1) (2011)
Justin Zhan, Lijo Thomas, Venkata Pasumarthi
Using gaming strategies for attacker and defender in recommender systems. CIDM (2011)
Justin Zhan, Xing Fang
Trust Maximization in Social Networks. SBP (2011)
Justin Zhan, Xing Fang
A Novel Trust Computing System for Social Networks. SocialCom/PASSAT (2011)
Justin Zhan, Xing Fang, Naveen Bandaru
Location privacy protection on social networks. CICS (2011)
Nancy R. Mead, Seiya Miyazaki, Justin Zhan
Integrating privacy requirements considerations into a security requirements engineering method and tool. Int. J. Inf. Priv. Secur. Integr. 1 (1) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Justin Zhan