A practical approach to solve Secure Multi-party Computation problems. - Wenliang Du; Justin Zhijun Zhan (NSPW, 2002)

Using randomized response techniques for privacy-preserving data mining. - Wenliang Du; Justin Zhijun Zhan (KDD, 2003)

Bayesian Network Induction With Incomplete Private Data. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (ICEB, 2004)

Privacy-Preserving Collaborative Association Rule Mining. - Justin Zhijun Zhan; Stan Matwin; Nathalie Japkowicz; LiWu Chang (ICEB, 2004)

Building k-nearest neighbor classifiers on vertically partitioned private data. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (GrC, 2005)

Private Mining of Association Rules. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (ISI, 2005)

Privacy Preserving K-nearest Neighbor Classification. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Int. J. Netw. Secur., 2005)

A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. - Justin Zhijun Zhan; Stan Matwin (ICDM Workshops, 2006)

Privacy-Oriented Collaborative Learning Systems. - Justin Zhijun Zhan; Stan Matwin (SMC, 2006)

Using Cryptography for Privacy Protection in Data Mining Systems. - Justin Z. Zhan (WImBI, 2006)

Privacy-Preserving Collaborative Data Mining. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Foundations and Novel Approaches in Data Mining, 2006)

Efficient Privacy-Preserving Association Rule Mining: P4P Style. - Yitao Duan; John F. Canny; Justin Z. Zhan (CIDM, 2007)

Quantifying Privacy for Privacy Preserving Data Mining. - Justin Z. Zhan (CIDM, 2007)

Using Homomorphic Encryption For Privacy-Preserving Collaborative Decision Tree Classification. - Justin Z. Zhan (CIDM, 2007)

A Verification Scheme for Data Aggregation in Data Mining. - Kilho Shin; Justin Zhan (GrC, 2007)

Measuring Topological Anonymity in Social Networks. - Lisa Singh; Justin Zhan (GrC, 2007)

Improved Customers' Privacy Preference Policy. - Ran Wei; Justin Zhan (GrC, 2007)

A Scientific Decoding of YinYang 1-2-4-8-64 for Equilibrium-Based Granular Computing. - Wen-Ran Zhang; Justin Zhan (GrC, 2007)

Using Homomorphic Encryption and Digital Envelope Techniques for Privacy Preserving Collaborative Sequential Pattern Mining. - Justin Z. Zhan (ISI, 2007)

Collaboratively mining sequential patterns over private data. - Justin Zhan (SMC, 2007)

Privacy preserving K-Medoids clustering. - Justin Zhan (SMC, 2007)

Secure Similarity Search. - Hyun-A Park; Bum Han Kim; Dong Hoon Lee 001; Yon Dohn Chung; Justin Zhan (IACR Cryptol. ePrint Arch., 2007)

Privacy-preserving multi-party decision tree induction. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (Int. J. Bus. Intell. Data Min., 2007)

Privacy-preserving support vector machine classification. - Justin Zhijun Zhan; Stan Matwin (Int. J. Intell. Inf. Database Syst., 2007)

Privacy-Preserving Data Mining in Electronic Surveys. - Justin Zhijun Zhan; Stan Matwin (Int. J. Netw. Secur., 2007)

Privacy-preserving collaborative association rule mining. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (J. Netw. Comput. Appl., 2007)

Computer-Aided Privacy Requirements Elicitation Technique. - Seiya Miyazaki; Nancy R. Mead; Justin Zhan (APSCC, 2008)

Towards Improving QoS-Guided Scheduling in Grids. - Ching-Hsien Hsu; Justin Zhan; Wai-Chi Fang; Jianhua Ma 002 (ChinaGrid, 2008)

Attribute-based Access Control using Combined Authentication Technologies. - Hyun-A Park; Dong Hoon Lee 001; Justin Zhan (GrC, 2008)

Scalar-product based Secure Two-party Computation. - Chih-Hao Shen; Justin Zhan; Tsan-sheng Hsu; Churn-Jung Liau; Da-Wei Wang 004 (GrC, 2008)

Towards Real-time Performance of Data Value Hiding for Frequent Data Updates. - Jie Wang 008; Justin Zhan; Jun Zhang 001 (GrC, 2008)

Granular Computing in Privacy-preserving Data Mining. - Justin Zhijun Zhan; Tsau Young Lin (GrC, 2008)

Towards Efficient Privacy-preserving Collaborative Recommender Systems. - Justin Zhan; I-Cheng Wang; Chia-Lung Hsieh; Tsan-sheng Hsu; Churn-Jung Liau; Da-Wei Wang 004 (GrC, 2008)

Privacy-Preserving Collaborative E-Voting. - Gary Blosser; Justin Zhan (ISI Workshops, 2008)

Efficient keyword index search over encrypted documents of groups. - Hyun-A Park; Dong Hoon Lee 001; Justin Zhan; Gary Blosser (ISI, 2008)

Privacy-Aware Access Control through Negotiation in Daily Life Service. - Hyun-A Park; Justin Zhan; Dong Hoon Lee 001 (ISI Workshops, 2008)

Using Social Networks to Organize Researcher Community. - Xian-Ming Xu; Justin Zhan; Hai-tao Zhu (ISI Workshops, 2008)

Privacy-Preserving Collaborative Social Networks. - Justin Zhan; Gary Blosser; Christopher C. Yang; Lisa Singh (ISI Workshops, 2008)

Privacy-preserving collaborative data mining. - Justin Zhan (IEEE Comput. Intell. Mag., 2008)

How to Prevent Private Data from being Disclosed to a Malicious Attacker. - Justin Zhijun Zhan; LiWu Chang; Stan Matwin (Data Mining: Foundations and Practice, 2008)

Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. - Justin Zhijun Zhan; Stan Matwin; LiWu Chang (Data Mining: Foundations and Practice, 2008)

Practical Values for Privacy. - Benjamin Wasser; Justin Zhan (CSE (3), 2009)

Anomaly Detection in Dynamic Social Systems Using Weak Estimators. - Justin Zhan; B. John Oommen; Johanna Crisostomo (CSE (4), 2009)

Importance of Data Standardization in Privacy-Preserving K-Means Clustering. - Chunhua Su; Justin Zhan; Kouichi Sakurai (DASFAA Workshops, 2009)

Authentication Using Multi-level Social Networks. - Justin Zhan; Xing Fang (IC3K, 2009)

Toward Empirical Aspects of Secure Scalar Product. - I-Cheng Wang; Chih-Hao Shen; Justin Zhan; Tsan-sheng Hsu; Churn-Jung Liau; Da-Wei Wang 004 (IEEE Trans. Syst. Man Cybern. Part C, 2009)

Multi-party k-Means Clustering with Privacy Consideration. - Teng-Kai Yu; D. T. Lee; Shih-Ming Chang; Justin Zhan (ISPA, 2010)

Phishing Using a Modified Bayesian Technique. - Krist Beck; Justin Zhan (SocialCom/PASSAT, 2010)

A Computational Trust Framework for Social Computing (A Position Paper for Panel Discussion on Social Computing Foundations). - Justin Zhan; Xing Fang (SocialCom/PASSAT, 2010)

P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users. - Yitao Duan; NetEase Youdao; John F. Canny; Justin Z. Zhan (USENIX Security Symposium, 2010)

Towards real-time performance of data privacy protection. - Jie Wang 008; Jun Zhang 001; Justin Zhan (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010)

Granular computing in privacy-preserving data mining. - Justin Zhan (Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010)

Combined Authentication-Based Multilevel Access Control in Mobile Application for DailyLifeService. - Hyun-A Park; Jong-Wook Hong; Jae Hyun Park 007; Justin Zhan; Dong Hoon Lee 001 (IEEE Trans. Mob. Comput., 2010)

Secure Collaborative Social Networks. - Justin Zhan (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Privacy-Preserving Collaborative Recommender Systems. - Justin Zhan; Chia-Lung Hsieh; I-Cheng Wang; Tsan-sheng Hsu; Churn-Jung Liau; Da-Wei Wang 004 (IEEE Trans. Syst. Man Cybern. Part C, 2010)

Location privacy protection on social networks. - Justin Zhan; Xing Fang; Naveen Bandaru (CICS, 2011)

Trust optimization in task-oriented social networks. - Justin Zhan; Xing Fang; Peter Killion (CICS, 2011)

Phishing detection using stochastic learning-based weak estimators. - Justin Zhan; Lijo Thomas (CICS, 2011)

Using gaming strategies for attacker and defender in recommender systems. - Justin Zhan; Lijo Thomas; Venkata Pasumarthi (CIDM, 2011)

Integrating online social networks for enhancing reputation systems of e-commerce. - Xing Fang; Justin Zhan; Nicholas Koceja; Kenneth Williams 002; Justin Brewton (ISI, 2011)

Anomaly detection using weak estimators. - Justin Zhan; B. John Oommen; Johanna Crisostomo (ISI, 2011)

Location Privacy Protection on Social Networks. - Justin Zhan; Xing Fang (SBP, 2011)

Trust Maximization in Social Networks. - Justin Zhan; Xing Fang (SBP, 2011)

Using Private Matching for Securely Querying Genomic Sequences. - Justin Zhan; Luis Cabrera; Gasim Osman; Ronak Shah (SocialCom/PASSAT, 2011)

Anomaly Detection in Social-Economic Computing. - Justin Zhan; Xing Fang (SocialCom/PASSAT, 2011)

A Novel Trust Computing System for Social Networks. - Justin Zhan; Xing Fang (SocialCom/PASSAT, 2011)

Top-K Algorithm for Recommendation in Social Networking Kingdoms. - Justin Zhan; Nadia M. Jones; Michael D. Purnell (SocialCom/PASSAT, 2011)

Integrating privacy requirements considerations into a security requirements engineering method and tool. - Nancy R. Mead; Seiya Miyazaki; Justin Zhan (Int. J. Inf. Priv. Secur. Integr., 2011)

Social computing: the state of the art. - Justin Zhan; Xing Fang (Int. J. Soc. Comput. Cyber Phys. Syst., 2011)

Anomaly Detection in Dynamic Systems Using Weak Estimators. - Justin Zhan; B. John Oommen; Johanna Crisostomo (ACM Trans. Internet Techn., 2011)

An artificial immune system for phishing detection. - Xing Fang; Nicholas Koceja; Justin Zhan; Gerry V. Dozier; Dipankar Dasgupta (IEEE Congress on Evolutionary Computation, 2012)

Towards Defeating DDoS Attacks. - Alex Doyal; Justin Zhan; Huiming Anna Yu (CyberSecurity, 2012)

A Dynamic Covert Passive Actors Detection Scheme for a Healthy Networked Community. - Munene W. Kanampiu; Justin Zhan (CyberSecurity, 2012)

SUCH: A Cloud Computing Management Tool. - Huiming Anna Yu; Jonathan Rann; Justin Zhan (NTMS, 2012)

Task-Oriented Social Ego Network Generation via Dynamic Collaborator Selection. - Xing Fang; Justin Zhan (SocialCom/PASSAT, 2012)

A Secure Group Collaboration Protocol for Nonverbal Human Social Signals Featuring Deception Detection. - Munene W. Kanampiu; Justin Zhan; Jinsuk Baek (SocialCom/PASSAT, 2012)

Editorial: special issue on "social computing and e-business". - Dongsong Zhang; Wenji Mao; Justin Zhan; Daniel Zeng 001 (Inf. Syst. E Bus. Manag., 2012)

Towards Obesity Causes, Prevalence and Prevention. - Ahmad Albu-Shamah; Justin Zhan (SocialCom, 2013)

Towards Network Reduction on Big Data. - Xing Fang; Justin Zhan; Nicholas Koceja (SocialCom, 2013)

Determining Appropriate Staffing Adjustments in a Call Center Staff Group. - Curtis M. Passmore; Justin Zhan (SocialCom, 2013)

Sociometric Methods for Relevancy Analysis of Long Tail Science Data. - Arcot Rajasekar; Sharlini Sankaran; Howard Lander; Thomas M. Carsey; Jonathan David Crabtree; Hye-Chung Kum; Mercè Crosas; Gary King; Justin Zhan (SocialCom, 2013)

IT convergence and security. - Stefanos Gritzalis; Justin Z. Zhan; Kitae Jeong (Electron. Commer. Res., 2013)

Triple DoS: DDoS defence and traceback. - Alex Doyal; Justin Zhan (Int. J. Inf. Priv. Secur. Integr., 2013)

An Information-Theoretic Approach for Secure Protocol Composition. - Yi-Ting Chiang; Tsan-sheng Hsu; Churn-Jung Liau; Yun-Ching Liu; Chih-Hao Shen; Da-Wei Wang 004; Justin Zhan (SecureComm (1), 2014)

A computational framework for detecting malicious actors in communities. - Justin Zhan; Xing Fang (Int. J. Inf. Priv. Secur. Integr., 2014)

A course module on web tracking and privacy. - Lindsay Simpkins; Xiaohong Yuan; Jwalit Modi; Justin Zhan; Li Yang 001 (InfoSecCD, 2015)

Structural and functional analytics for community detection in large-scale complex networks. - Pravin Chopade; Justin Zhan (J. Big Data, 2015)

Erratum to: Structural and functional analytics for community detection in large-scale complex networks. - Pravin Chopade; Justin Zhan (J. Big Data, 2015)

Sentiment analysis using product review data. - Xing Fang; Justin Zhan (J. Big Data, 2015)

An Efficient Anonymous System for Transaction Data. - Jerry Chun-Wei Lin; Qiankun Liu 002; Philippe Fournier-Viger; Tzung-Pei Hong; Justin Zhan; Miroslav Voznák (MISNC, 2016)

Vulnerability Analysis of Iframe Attacks on Websites. - Haysam Selim; Shahab Tayeb; Yoohwan Kim; Justin Zhan; Matin Pirouz (MISNC, 2016)

Mining of High-Utility Itemsets by ACO Algorithm. - Jimmy Ming-Thai Wu; Justin Zhan; Jerry Chun-Wei Lin (MISNC, 2016)

An efficient algorithm to mine high average-utility itemsets. - Jerry Chun-Wei Lin; Ting Li 011; Philippe Fournier-Viger; Tzung-Pei Hong; Justin Zhan; Miroslav Voznák (Adv. Eng. Informatics, 2016)

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization. - Jerry Chun-Wei Lin; Qiankun Liu 002; Philippe Fournier-Viger; Tzung-Pei Hong; Miroslav Voznák; Justin Zhan (Eng. Appl. Artif. Intell., 2016)

Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining. - Jerry Chun-Wei Lin; Tsu-Yang Wu; Philippe Fournier-Viger; Guo Lin; Justin Zhan; Miroslav Voznák (Eng. Appl. Artif. Intell., 2016)

Mining high-utility itemsets based on particle swarm optimization. - Jerry Chun-Wei Lin; Lu Yang; Philippe Fournier-Viger; Jimmy Ming-Tai Wu; Tzung-Pei Hong; Shyue-Liang Leon Wang; Justin Zhan (Eng. Appl. Artif. Intell., 2016)

Optimized relativity search: node reduction in personalized page rank estimation for large graphs. - Matin Pirouz; Justin Zhan (J. Big Data, 2016)

An optimized approach for community detection and ranking. - Matin Pirouz; Justin Zhan; Shahab Tayeb (J. Big Data, 2016)

Towards shortest path identification on large networks. - Haysam Selim; Justin Zhan (J. Big Data, 2016)

Identification of top-K influential communities in big networks. - Justin Zhan; Vivek Guidibande; Sai Phani Krishna Parsa (J. Big Data, 2016)

Efficient mining of high-utility itemsets using multiple minimum utility thresholds. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Justin Zhan (Knowl. Based Syst., 2016)

Toward data quality analytics in signature verification using a convolutional neural network. - Shahab Tayeb; Matin Pirouz; Brittany Cozzens; Richard Huang; Maxwell Jay; Kyle Khembunjong; Sahan Paliskara; Felix Zhan 001; Mark Zhang; Justin Zhan; Shahram Latifi (IEEE BigData, 2017)

Securing the positioning signals of autonomous vehicles. - Shahab Tayeb; Matin Pirouz; Gabriel Esguerra; Kimiya Ghobadi; Jimson Huang; Robin Hill; Derwin Lawson; Stone Li; Tiffany Zhan; Justin Zhan; Shahram Latifi (IEEE BigData, 2017)

Toward predicting medical conditions using k-nearest neighbors. - Shahab Tayeb; Matin Pirouz; Johann Sun; Kaylee Hall; Andrew Chang; Jessica Li; Connor Song; Apoorva Chauhan; Michael Ferra; Theresa Sager; Justin Zhan; Shahram Latifi (IEEE BigData, 2017)

Using Proxies for Node Immunization Identification on Large Graphs. - Raymond Ahn; Justin Zhan (IEEE Access, 2017)

A Novel Weak Estimator For Dynamic Systems. - Moinak Bhaduri; Justin Zhan; Carter Chiu (IEEE Access, 2017)

A Novel Online and Non-Parametric Approach for Drift Detection in Big Data. - Moinak Bhaduri; Justin Zhan; Carter Chiu; Felix Zhan 001 (IEEE Access, 2017)

Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data. - Carter Chiu; Justin Zhan; Felix Zhan 001 (IEEE Access, 2017)

Toward Efficient Hub-Less Real Time Personalized PageRank. - Matin Pirouz; Justin Zhan (IEEE Access, 2017)

Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets. - Jimmy Ming-Tai Wu; Justin Zhan; Jerry Chun-Wei Lin (IEEE Access, 2017)

Extracting recent weighted-based patterns from uncertain temporal databases. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Jimmy Ming-Tai Wu; Justin Zhan (Eng. Appl. Artif. Intell., 2017)

Mining of frequent patterns with multiple minimum supports. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Justin Zhan (Eng. Appl. Artif. Intell., 2017)

Efficient Mining of Multiple Fuzzy Frequent Itemsets. - Jerry Chun-Wei Lin; Ting Li 011; Philippe Fournier-Viger; Tzung-Pei Hong; Jimmy Ming-Tai Wu; Justin Zhan (Int. J. Fuzzy Syst., 2017)

Using deep learning for short text understanding. - Justin Zhan; Binay Dahal (J. Big Data, 2017)

Identification of top-K nodes in large networks using Katz centrality. - Justin Zhan; Sweta Gurung; Sai Phani Krishna Parsa (J. Big Data, 2017)

Vaccination allocation in large dynamic networks. - Justin Zhan; Timothy Rafalski; Gennady Stashkevich; Edward Verenich (J. Big Data, 2017)

Efficient hiding of confidential high-utility itemsets with minimal side effects. - Jerry Chun-Wei Lin; Tzung-Pei Hong; Philippe Fournier-Viger; Qiankun Liu 002; Jia-Wei Wong; Justin Zhan (J. Exp. Theor. Artif. Intell., 2017)

An ACO-based approach to mine high-utility itemsets. - Jimmy Ming-Tai Wu; Justin Zhan; Jerry Chun-Wei Lin (Knowl. Based Syst., 2017)

A Framework for Community Detection in Large Networks Using Game-Theoretic Modeling. - Pravin Chopade; Justin Zhan (IEEE Trans. Big Data, 2017)

Cover Image, Volume 7, Issue 6. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Justin Zhan (WIREs Data Mining Knowl. Discov., 2017)

Data mining in distributed environment: a survey. - Wensheng Gan; Jerry Chun-Wei Lin; Han-Chieh Chao; Justin Zhan (WIREs Data Mining Knowl. Discov., 2017)

Prediction of online social networks users' behaviors with a game theoretic approach. - Felix Zhan 001; Gabriella Laines; Sarah Deniz; Sahan Paliskara; Irvin Ochoa; Idania Guerra; Shahab Tayeb; Carter Chiu; Matin Pirouz; Elliott Ploutz; Justin Zhan; Laxmi P. Gewali; et al. (CCNC, 2018)

An efficient alternative to personalized page rank for friend recommendations. - Felix Zhan 001; Brandon Waters; Maria Mijangos; LeAnn Chung; Raghav Bhagat; Tanvi Bhagat; Matin Pirouz; Carter Chiu; Shahab Tayeb; Elliott Ploutz; Justin Zhan; Laxmi P. Gewali (CCNC, 2018)

Toward metadata removal to preserve privacy of social media users. - Shahab Tayeb; Abigail Week; Joshua Yee; Mayra Carrera; Kuira Edwards; Vicki Murray-Garcia; Meghann Marchello; Justin Zhan; Matin Pirouz (CCWC, 2018)

Optimized Rank Estimator in Big Data Social Networks. - Matin Pirouz; Sai Phani Parsa; Justin Zhan (ICBDE, 2018)

Optimized Label Propagation Community Detection on Big Data Networks. - Matin Pirouz; Justin Zhan (ICBDE, 2018)

Using Empirical Recurrence Rates Ratio for Time Series Data Similarity. - Moinak Bhaduri; Justin Zhan (IEEE Access, 2018)

Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators. - Carter Chiu; Justin Zhan (IEEE Access, 2018)

Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework. - Payam Ezatpoor; Justin Zhan; Jimmy Ming-Tai Wu; Carter Chiu (IEEE Access, 2018)

Exploiting highly qualified pattern with frequency and weight occupancy. - Wensheng Gan; Jerry Chun-Wei Lin; Philippe Fournier-Viger; Han-Chieh Chao; Justin Zhan; Ji Zhang 001 (Knowl. Inf. Syst., 2018)

Computer Vision for Attendance and Emotion Analysis in School Settings. - Sarah Deniz; Dakyung Lee; Grace Kurian; Lourdes Altamirano; Darren Yee; Michael Ferra; Blake Hament; Justin Zhan; Laxmi P. Gewali; Paul Y. Oh (CCWC, 2019)

Towards Tattoo Previewing and Other Augmented/Mixed Reality Applications with Microsoft Kinect. - Alexia Dreher; Alexis Sanchez; Andrea Sedano; Kevin Chung; Michael Dambach; Shabnam Waseem; Blake Hament; Paul Y. Oh; Justin Zhan; Laxmi P. Gewali (CCWC, 2019)

ScanAlert: Electronic Medication Monitor and Reminder to Improve Medical Adherence. - 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; et al. (CCWC, 2019)

Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction. - Eryn Aguilar; Benjamin J. Lowe; Justin Zhan; Laxmi P. Gewali; Paul Yu Oh; Jevis Dancel; Deysaree Mamaud; Dorothy Pirosch; Farin Tavacoli; Felix Zhan 001; Robbie Pearce; Margaret Novack; et al. (ICBK, 2019)

Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection. - Ethan Hunt; Binay Dahal; Justin Zhan; Laxmi P. Gewali; Paul Y. Oh; Ritvik Janamsetty; Chanana Kinares; Chanel Koh; Alexis Sanchez; Felix Zhan 001; Murat Özdemir; Shabnam Waseem; et al. (ICBK, 2019)

T-RECSYS: A Novel Music Recommendation System Using Deep Learning. - Ferdos Fessahaye; Luis Perez; Tiffany Zhan; Raymond Zhang; Calais Fossier; Robyn Markarian; Carter Chiu; Justin Zhan; Laxmi P. Gewali; Paul Yu Oh (ICCE, 2019)

Deep Learning Based Shopping Assistant For The Visually Impaired. - Daniel Pintado; Vanessa Sanchez; Erin Adarve; Mark Mata; Zekeriya Gogebakan; Bunyamin Cabuk; Carter Chiu; Justin Zhan; Laxmi P. Gewali; Paul Yu Oh (ICCE, 2019)

An Evolutionary Approach to Compact DAG Neural Network Optimization. - Carter Chiu; Justin Zhan (IEEE Access, 2019)

USRRM: Pairwise Ranking and Scoring Images Using Its Aesthetic Quality. - Binay Dahal; Justin Zhan (IEEE Access, 2019)

Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation. - Felix Zhan 001; Anthony Martinez; Nilab Rai; Richard Mcconnell; Matthew Swan; Moinak Bhaduri; Justin Zhan; Laxmi P. Gewali; Paul Y. Oh (IEEE Access, 2019)

Advancing community detection using Keyword Attribute Search. - Sanket Chobe; Justin Zhan (J. Big Data, 2019)

Resolving intravoxel white matter structures in the human brain using regularized regression and clustering. - Andrea Hart; Brianna Smith; Sean Smith; Elijah Sales; Jacqueline Hernandez-Camargo; Yarlin Mayor Garcia; Felix Zhan 001; Lori Griswold; Brian Dunkelberger; Michael R. Schwob; Sharang Chaudhry; Justin Zhan; et al. (J. Big Data, 2019)

Effective Mutation and Recombination for Evolving Convolutional Networks. - Binay Dahal; Justin Zhan (APPIS, 2020)

A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. - Alycia N. Carey; Justin Zhan (IEEE BigData, 2020)

Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. - Hadi Salman; Justin Zhan (IEEE BigData, 2020)

Segregating Hazardous Waste Using Deep Neural Networks in Real-Time Video. - Dorothy Hua; Julia Gao; Roger Mayo; Albert Smedley; Piyush Puranik; Justin Zhan (CCWC, 2020)

Similarity Metric for Millions of Unlabeled Face Images. - Hadi Salman; Justin Zhan (CCWC, 2020)

Using Convolutional Neural Networks to Analyze X-Ray Radiographs for Multi-Label Classifications of Thoracic Diseases. - Tiffany Zhan; Felix Zhan 001; Vince Choi; Justin Zhan; Sarah Deniz; Adrian Ng; Patricio Gonzalez; Ivy Whaley; Dennis Garcia; Sam Vinh; Jeremy Eddy (CCWC, 2020)

Deep Physical Informed Neural Networks for Metamaterial Design. - Zhiwei Fang; Justin Zhan (IEEE Access, 2020)

A Physics-Informed Neural Network Framework for PDEs on 3D Surfaces: Time Independent Problems. - Zhiwei Fang; Justin Zhan (IEEE Access, 2020)

Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks. - Michael R. Schwob; Aeren Dempsey; Felix Zhan 001; Justin Zhan; Asif Mehmood (IEEE Access, 2020)

Towards a Novel Generalized Chinese Remainder Algorithm for Extended Rabin Cryptosystem. - Justin Zhan; Peter J.-S. Shiue; Shen C. Huang; Benjamin J. Lowe (IEEE Access, 2020)

Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. - Aneesh Komanduri; Justin Zhan (ICMLA, 2021)

Clustering Hypergraphs via the MapEquation. - Matthew Swan; Justin Zhan (IEEE Access, 2021)

A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems. - Zhiwei Fang; Justin Z. Zhan; Xiu Yang (CoRR, 2021)

A Comparative Study of Transformer-Based Language Models on Extractive Question Answering. - Kate Pearce; Tiffany Zhan; Aneesh Komanduri; Justin Zhan (CoRR, 2021)

Learning Medical Materials From Radiography Images. - Carson Molder; Benjamin J. Lowe; Justin Zhan (Frontiers Artif. Intell., 2021)

Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network. - Xiangning Chen; Daniel G. Chen; Zhongming Zhao; Justin Zhan; Changrong Ji; Jingchun Chen (Patterns, 2021)

Modeling Cell Communication with Time-Dependent Signaling Hypergraphs. - Michael R. Schwob; Justin Zhan; Aeren Dempsey (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Cyberbully Detection Using BERT with Augmented Texts. - Xiaoyu Guo; Usman Anjum; Justin Zhan (IEEE Big Data, 2022)

WaveNets: Wavelet Channel Attention Networks. - Hadi Salman; Caleb Parks; Shi Yin Hong; Justin Zhan (IEEE Big Data, 2022)

GHM Wavelet Transform for Deep Image Super Resolution. - Benjamin J. Lowe; Hadi Salman; Justin Zhan (CoRR, 2022)

Effect of Dimensionality Reduction on Uncertainty Quantification in Trustworthy Machine Learning. - Yen-Chen Li; Justin Zhan (ICMLC, 2023)

BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series. - Usman Anjum; Samuel Lin; Justin Zhan (CoRR, 2023)

Identifying and training deep learning neural networks on biomedical-related datasets. - Alan E. Woessner; Usman Anjum; Hadi Salman; Jacob Lear; Jeffrey T. Turner; Ross Campbell; Laura Beaudry; Justin Zhan; Lawrence E. Cornett; Susan Gauch; Kyle P. Quinn (Briefings Bioinform., 2024)

Towards Modeling Data Quality and Machine Learning Model Performance. - Usman Anjum; Chris Trentman; Elrod Caden; Justin Zhan (CoRR, 2024)

Sentiment Analysis of Movie Reviews Using BERT. - Gibson Nkhata; Usman Anjum; Justin Zhan (CoRR, 2025)

Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis. - Gibson Nkhata; Susan Gauch; Usman Anjum; Justin Zhan (CoRR, 2025)

Adaptive Temperature Based on Logits Correlation in Knowledge Distillation. - Kazuhiro Matsuyama; Usman Anjum; Satoko Matsuyama; Tetsuo Shoda; Justin Zhan (CoRR, 2025)

Domain-Generalization to Improve Learning in Meta-Learning Algorithms. - Usman Anjum; Chris Stockman; Cat Luong; Justin Zhan (CoRR, 2025)