Justin Zhan

157 papers A* 1B 6C 10Misc 10Journal 75Unranked 54
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distribution-enhanced knowledge distillation.
Neurocomputing
Calvin Kinateder, Usman Anjum, Justin Zhan
2026 J jnl
Efficient Domain Adaptation for Text Line Recognition via Decoupled Language Models.
CoRR
Arundhathi Dev, Justin Zhan
2026 J jnl
Self-Tuning Sparse Attention: Multi-Fidelity Hyperparameter Optimization for Transformer Acceleration.
CoRR
Arundhathi Dev, Justin Zhan
2025 J jnl
Adaptive Temperature Based on Logits Correlation in Knowledge Distillation.
CoRR
Kazuhiro Matsuyama, Usman Anjum, Satoko Matsuyama, Tetsuo Shoda, Justin Zhan
2025 J jnl
Domain-Generalization to Improve Learning in Meta-Learning Algorithms.
CoRR
Usman Anjum, Chris Stockman, Cat Luong, Justin Zhan
2025 J jnl
Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis.
CoRR
Gibson Nkhata, Susan Gauch, Usman Anjum, Justin Zhan
2025 A* conf
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models.
EMNLP
Dylan Hutson, Daniel Vennemeyer, Aneesh Deshmukh, Justin Zhan, Tianyu Jiang
2025 J jnl
GuessingGame: Measuring the Informativeness of Open-Ended Questions in Large Language Models.
CoRR
Dylan Hutson, Daniel Vennemeyer, Aneesh Deshmukh, Justin Zhan, Tianyu Jiang
2025 B conf
Multimodal Entity Alignment Via Siamese Network and Structural Attention.
SMC
Andrew Wagner, Usman Anjum, Justin Zhan
2025 J jnl
Sentiment Analysis of Movie Reviews Using BERT.
CoRR
Gibson Nkhata, Usman Anjum, Justin Zhan
2024 J jnl
Identifying and training deep learning neural networks on biomedical-related datasets.
Briefings Bioinform.
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
2024 J jnl
Towards Modeling Data Quality and Machine Learning Model Performance.
CoRR
Usman Anjum, Chris Trentman, Elrod Caden, Justin Zhan
2023 J jnl
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series.
CoRR
Usman Anjum, Samuel Lin, Justin Zhan
2023 Misc conf
Effect of Dimensionality Reduction on Uncertainty Quantification in Trustworthy Machine Learning.
ICMLC
Yen-Chen Li, Justin Zhan
2022 B conf
Cyberbully Detection Using BERT with Augmented Texts.
IEEE Big Data
Xiaoyu Guo, Usman Anjum, Justin Zhan
2022 J jnl
GHM Wavelet Transform for Deep Image Super Resolution.
CoRR
Benjamin J. Lowe, Hadi Salman, Justin Zhan
2022 B conf
WaveNets: Wavelet Channel Attention Networks.
IEEE Big Data
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
2022 J jnl
WaveNets: Wavelet Channel Attention Networks.
CoRR
Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan
2021 J jnl
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering.
CoRR
Kate Pearce, Tiffany Zhan, Aneesh Komanduri, Justin Zhan
2021 J jnl
Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.
Patterns
Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen
2021 J jnl
Clustering Hypergraphs via the MapEquation.
IEEE Access
Matthew Swan, Justin Zhan
2021 J jnl
Learning Medical Materials From Radiography Images.
Frontiers Artif. Intell.
Carson Molder, Benjamin J. Lowe, Justin Zhan
2021 J jnl
Modeling Cell Communication with Time-Dependent Signaling Hypergraphs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Michael R. Schwob, Justin Zhan, Aeren Dempsey
2021 C conf
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks.
ICMLA
Aneesh Komanduri, Justin Zhan
2021 J jnl
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks.
CoRR
Aneesh Komanduri, Justin Zhan
2020 — conf
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images.
IEEE BigData
Alycia N. Carey, Justin Zhan
2020 J jnl
A Physics-Informed Neural Network Framework for PDEs on 3D Surfaces: Time Independent Problems.
IEEE Access
Zhiwei Fang, Justin Zhan
2020 J jnl
Deep Physical Informed Neural Networks for Metamaterial Design.
IEEE Access
Zhiwei Fang, Justin Zhan
2020 — conf
Effective Mutation and Recombination for Evolving Convolutional Networks.
APPIS
Binay Dahal, Justin Zhan
2020 J jnl
Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks.
IEEE Access
Michael R. Schwob, Aeren Dempsey, Felix Zhan, Justin Zhan, Asif Mehmood
2020 — conf
Segregating Hazardous Waste Using Deep Neural Networks in Real-Time Video.
CCWC
Dorothy Hua, Julia Gao, Roger Mayo, Albert Smedley, Piyush Puranik, Justin Zhan
2020 — conf
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering.
IEEE BigData
Hadi Salman, Justin Zhan
2020 — conf
Similarity Metric for Millions of Unlabeled Face Images.
CCWC
Hadi Salman, Justin Zhan
2020 J jnl
Towards a Novel Generalized Chinese Remainder Algorithm for Extended Rabin Cryptosystem.
IEEE Access
Justin Zhan, Peter J.-S. Shiue, Shen C. Huang, Benjamin J. Lowe
2020 — conf
Using Convolutional Neural Networks to Analyze X-Ray Radiographs for Multi-Label Classifications of Thoracic Diseases.
CCWC
Tiffany Zhan, Felix Zhan, Vince Choi, Justin Zhan, Sarah Deniz, Adrian Ng, Patricio Gonzalez, Ivy Whaley, Dennis Garcia, Sam Vinh, Jeremy Eddy
2019 J jnl
Advancing community detection using Keyword Attribute Search.
J. Big Data
Sanket Chobe, Justin Zhan
2019 J jnl
An Evolutionary Approach to Compact DAG Neural Network Optimization.
IEEE Access
Carter Chiu, Justin Zhan
2019 J jnl
Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation.
IEEE Access
Felix Zhan, Anthony Martinez, Nilab Rai, Richard McConnell, Matthew Swan, Moinak Bhaduri, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
2019 — conf
Computer Vision for Attendance and Emotion Analysis in School Settings.
CCWC
Sarah Deniz, Dakyung Lee, Grace Kurian, Lourdes Altamirano, Darren Yee, Michael Ferra, Blake Hament, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh
2019 C conf
Deep Learning Based Shopping Assistant For The Visually Impaired.
ICCE
Daniel Pintado, Vanessa Sanchez, Erin Adarve, Mark Mata, Zekeriya Gogebakan, Bunyamin Cabuk, Carter Chiu, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
2019 — conf
Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction.
ICBK
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
2019 — conf
Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection.
ICBK
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
2019 J jnl
Resolving intravoxel white matter structures in the human brain using regularized regression and clustering.
J. Big Data
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
2019 — conf
ScanAlert: Electronic Medication Monitor and Reminder to Improve Medical Adherence.
CCWC
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
2019 C conf
T-RECSYS: A Novel Music Recommendation System Using Deep Learning.
ICCE
Ferdos Fessahaye, Luis Perez, Tiffany Zhan, Raymond Zhang, Calais Fossier, Robyn Markarian, Carter Chiu, Justin Zhan, Laxmi P. Gewali, Paul Yu Oh
2019 — conf
Towards Tattoo Previewing and Other Augmented/Mixed Reality Applications with Microsoft Kinect.
CCWC
Alexia Dreher, Alexis Sanchez, Andrea Sedano, Kevin Chung, Michael Dambach, Shabnam Waseem, Blake Hament, Paul Y. Oh, Justin Zhan, Laxmi P. Gewali
2019 J jnl
USRRM: Pairwise Ranking and Scoring Images Using Its Aesthetic Quality.
IEEE Access
Binay Dahal, Justin Zhan
2018 — conf
An efficient alternative to personalized page rank for friend recommendations.
CCNC
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
2018 J jnl
Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators.
IEEE Access
Carter Chiu, Justin Zhan
2018 J jnl
Exploiting highly qualified pattern with frequency and weight occupancy.
Knowl. Inf. Syst.
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan, Ji Zhang
2018 J jnl
Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework.
IEEE Access
Payam Ezatpoor, Justin Zhan, Jimmy Ming-Tai Wu, Carter Chiu
2018 — conf
Optimized Label Propagation Community Detection on Big Data Networks.
ICBDE
Matin Pirouz, Justin Zhan
2018 — conf
Optimized Rank Estimator in Big Data Social Networks.
ICBDE
Matin Pirouz, Sai Phani Parsa, Justin Zhan
2018 — conf
Prediction of online social networks users' behaviors with a game theoretic approach.
CCNC
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
2018 — conf
Toward metadata removal to preserve privacy of social media users.
CCWC
Shahab Tayeb, Abigail Week, Joshua Yee, Mayra Carrera, Kuira Edwards, Vicki Murray-Garcia, Meghann Marchello, Justin Zhan, Matin Pirouz
2018 J jnl
Using Empirical Recurrence Rates Ratio for Time Series Data Similarity.
IEEE Access
Moinak Bhaduri, Justin Zhan
2017 J jnl
A Framework for Community Detection in Large Networks Using Game-Theoretic Modeling.
IEEE Trans. Big Data
Pravin Chopade, Justin Zhan
2017 J jnl
A Novel Online and Non-Parametric Approach for Drift Detection in Big Data.
IEEE Access
Moinak Bhaduri, Justin Zhan, Carter Chiu, Felix Zhan
2017 J jnl
A Novel Weak Estimator For Dynamic Systems.
IEEE Access
Moinak Bhaduri, Justin Zhan, Carter Chiu
2017 J jnl
An ACO-based approach to mine high-utility itemsets.
Knowl. Based Syst.
Jimmy Ming-Tai Wu, Justin Zhan, Jerry Chun-Wei Lin
2017 J jnl
Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets.
IEEE Access
Jimmy Ming-Tai Wu, Justin Zhan, Jerry Chun-Wei Lin
2017 J jnl
Cover Image, Volume 7, Issue 6.
WIREs Data Mining Knowl. Discov.
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Justin Zhan
2017 J jnl
Data mining in distributed environment: a survey.
WIREs Data Mining Knowl. Discov.
Wensheng Gan, Jerry Chun-Wei Lin, Han-Chieh Chao, Justin Zhan
2017 J jnl
Efficient Mining of Multiple Fuzzy Frequent Itemsets.
Int. J. Fuzzy Syst.
Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Jimmy Ming-Tai Wu, Justin Zhan
2017 J jnl
Efficient hiding of confidential high-utility itemsets with minimal side effects.
J. Exp. Theor. Artif. Intell.
Jerry Chun-Wei Lin, Tzung-Pei Hong, Philippe Fournier-Viger, Qiankun Liu, Jia-Wei Wong, Justin Zhan
2017 J jnl
Extracting recent weighted-based patterns from uncertain temporal databases.
Eng. Appl. Artif. Intell.
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Jimmy Ming-Tai Wu, Justin Zhan
2017 J jnl
Identification of top-K nodes in large networks using Katz centrality.
J. Big Data
Justin Zhan, Sweta Gurung, Sai Phani Krishna Parsa
2017 J jnl
Mining of frequent patterns with multiple minimum supports.
Eng. Appl. Artif. Intell.
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Justin Zhan
2017 — conf
Securing the positioning signals of autonomous vehicles.
IEEE BigData
Shahab Tayeb, Matin Pirouz, Gabriel Esguerra, Kimiya Ghobadi, Jimson Huang, Robin Hill, Derwin Lawson, Stone Li, Tiffany Zhan, Justin Zhan, Shahram Latifi
2017 J jnl
Toward Efficient Hub-Less Real Time Personalized PageRank.
IEEE Access
Matin Pirouz, Justin Zhan
2017 — conf
Toward data quality analytics in signature verification using a convolutional neural network.
IEEE BigData
Shahab Tayeb, Matin Pirouz, Brittany Cozzens, Richard Huang, Maxwell Jay, Kyle Khembunjong, Sahan Paliskara, Felix Zhan, Mark Zhang, Justin Zhan, Shahram Latifi
2017 — conf
Toward predicting medical conditions using k-nearest neighbors.
IEEE BigData
Shahab Tayeb, Matin Pirouz, Johann Sun, Kaylee Hall, Andrew Chang, Jessica Li, Connor Song, Apoorva Chauhan, Michael Ferra, Theresa Sager, Justin Zhan, Shahram Latifi
2017 J jnl
Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data.
IEEE Access
Carter Chiu, Justin Zhan, Felix Zhan
2017 J jnl
Using Proxies for Node Immunization Identification on Large Graphs.
IEEE Access
Raymond Ahn, Justin Zhan
2017 J jnl
Using deep learning for short text understanding.
J. Big Data
Justin Zhan, Binay Dahal
2017 J jnl
Vaccination allocation in large dynamic networks.
J. Big Data
Justin Zhan, Timothy Rafalski, Gennady Stashkevich, Edward Verenich
2016 J jnl
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization.
Eng. Appl. Artif. Intell.
Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Miroslav Voznák, Justin Zhan
2016 — conf
An Efficient Anonymous System for Transaction Data.
MISNC
Jerry Chun-Wei Lin, Qiankun Liu, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák
2016 J jnl
An efficient algorithm to mine high average-utility itemsets.
Adv. Eng. Informatics
Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan, Miroslav Voznák
2016 J jnl
An optimized approach for community detection and ranking.
J. Big Data
Matin Pirouz, Justin Zhan, Shahab Tayeb
2016 J jnl
Efficient mining of high-utility itemsets using multiple minimum utility thresholds.
Knowl. Based Syst.
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Justin Zhan
2016 J jnl
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining.
Eng. Appl. Artif. Intell.
Jerry Chun-Wei Lin, Tsu-Yang Wu, Philippe Fournier-Viger, Guo Lin, Justin Zhan, Miroslav Voznák
2016 J jnl
Identification of top-K influential communities in big networks.
J. Big Data
Justin Zhan, Vivek Guidibande, Sai Phani Krishna Parsa
2016 J jnl
Mining high-utility itemsets based on particle swarm optimization.
Eng. Appl. Artif. Intell.
Jerry Chun-Wei Lin, Lu Yang, Philippe Fournier-Viger, Jimmy Ming-Tai Wu, Tzung-Pei Hong, Shyue-Liang Leon Wang, Justin Zhan
2016 — conf
Mining of High-Utility Itemsets by ACO Algorithm.
MISNC
Jimmy Ming-Thai Wu, Justin Zhan, Jerry Chun-Wei Lin
2016 J jnl
Optimized relativity search: node reduction in personalized page rank estimation for large graphs.
J. Big Data
Matin Pirouz, Justin Zhan
2016 J jnl
Towards shortest path identification on large networks.
J. Big Data
Haysam Selim, Justin Zhan
2016 — conf
Vulnerability Analysis of Iframe Attacks on Websites.
MISNC
Haysam Selim, Shahab Tayeb, Yoohwan Kim, Justin Zhan, Matin Pirouz
2015 — conf
A course module on web tracking and privacy.
InfoSecCD
Lindsay Simpkins, Xiaohong Yuan, Jwalit Modi, Justin Zhan, Li Yang
2015 J jnl
Erratum to: Structural and functional analytics for community detection in large-scale complex networks.
J. Big Data
Pravin Chopade, Justin Zhan
2015 J jnl
Sentiment analysis using product review data.
J. Big Data
Xing Fang, Justin Zhan
2015 J jnl
Structural and functional analytics for community detection in large-scale complex networks.
J. Big Data
Pravin Chopade, Justin Zhan
2014 J jnl
A computational framework for detecting malicious actors in communities.
Int. J. Inf. Priv. Secur. Integr.
Justin Zhan, Xing Fang
2014 — conf
An Information-Theoretic Approach for Secure Protocol Composition.
SecureComm (1)
Yi-Ting Chiang, Tsan-sheng Hsu, Churn-Jung Liau, Yun-Ching Liu, Chih-Hao Shen, Da-Wei Wang, Justin Zhan
2013 — conf
Determining Appropriate Staffing Adjustments in a Call Center Staff Group.
SocialCom
Curtis M. Passmore, Justin Zhan
2013 — conf
Sociometric Methods for Relevancy Analysis of Long Tail Science Data.
SocialCom
Arcot Rajasekar, Sharlini Sankaran, Howard Lander, Thomas M. Carsey, Jonathan David Crabtree, Hye-Chung Kum, Mercè Crosas, Gary King, Justin Zhan
2013 — conf
Towards Network Reduction on Big Data.
SocialCom
Xing Fang, Justin Zhan, Nicholas Koceja
2013 — conf
Towards Obesity Causes, Prevalence and Prevention.
SocialCom
Ahmad Albu-Shamah, Justin Zhan
2013 J jnl
Triple DoS: DDoS defence and traceback.
Int. J. Inf. Priv. Secur. Integr.
Alex Doyal, Justin Zhan
2012 — conf
A Computational Framework for Detecting Malicious Actors in Communities.
SocialInformatics
Xing Fang, Justin Zhan
2012 — conf
A Dynamic Covert Passive Actors Detection Scheme for a Healthy Networked Community.
CyberSecurity
Munene W. Kanampiu, Justin Zhan
2012 — conf
A Secure Group Collaboration Protocol for Nonverbal Human Social Signals Featuring Deception Detection.
SocialCom/PASSAT
Munene W. Kanampiu, Justin Zhan, Jinsuk Baek
2012 B conf
An artificial immune system for phishing detection.
IEEE Congress on Evolutionary Computation
Xing Fang, Nicholas Koceja, Justin Zhan, Gerry V. Dozier, Dipankar Dasgupta
2012 J jnl
Editorial: special issue on "social computing and e-business".
Inf. Syst. E Bus. Manag.
Dongsong Zhang, Wenji Mao, Justin Zhan, Daniel Zeng
2012 — conf
SUCH: A Cloud Computing Management Tool.
NTMS
Huiming Anna Yu, Jonathan Rann, Justin Zhan
2012 — conf
Task-Oriented Social Ego Network Generation via Dynamic Collaborator Selection.
SocialCom/PASSAT
Xing Fang, Justin Zhan
2012 — conf
Towards Defeating DDoS Attacks.
CyberSecurity
Alex Doyal, Justin Zhan, Huiming Anna Yu
2011 — conf
A Novel Trust Computing System for Social Networks.
SocialCom/PASSAT
Justin Zhan, Xing Fang
2011 J jnl
Anomaly Detection in Dynamic Systems Using Weak Estimators.
ACM Trans. Internet Techn.
Justin Zhan, B. John Oommen, Johanna Crisostomo
2011 — conf
Anomaly Detection in Social-Economic Computing.
SocialCom/PASSAT
Justin Zhan, Xing Fang
2011 C conf
Anomaly detection using weak estimators.
ISI
Justin Zhan, B. John Oommen, Johanna Crisostomo
2011 C conf
Integrating online social networks for enhancing reputation systems of e-commerce.
ISI
Xing Fang, Justin Zhan, Nicholas Koceja, Kenneth Williams, Justin Brewton
2011 J jnl
Integrating privacy requirements considerations into a security requirements engineering method and tool.
Int. J. Inf. Priv. Secur. Integr.
Nancy R. Mead, Seiya Miyazaki, Justin Zhan
2011 — conf
Location Privacy Protection on Social Networks.
SBP
Justin Zhan, Xing Fang
2011 — conf
Location privacy protection on social networks.
CICS
Justin Zhan, Xing Fang, Naveen Bandaru
2011 — conf
Phishing detection using stochastic learning-based weak estimators.
CICS
Justin Zhan, Lijo Thomas
2011 J jnl
Social computing: the state of the art.
Int. J. Soc. Comput. Cyber Phys. Syst.
Justin Zhan, Xing Fang
2011 — conf
Top-K Algorithm for Recommendation in Social Networking Kingdoms.
SocialCom/PASSAT
Justin Zhan, Nadia M. Jones, Michael D. Purnell
2011 — conf
Trust Maximization in Social Networks.
SBP
Justin Zhan, Xing Fang
2011 — conf
Trust optimization in task-oriented social networks.
CICS
Justin Zhan, Xing Fang, Peter Killion
2011 — conf
Using Private Matching for Securely Querying Genomic Sequences.
SocialCom/PASSAT
Justin Zhan, Luis Cabrera, Gasim Osman, Ronak Shah
2011 C conf
Using gaming strategies for attacker and defender in recommender systems.
CIDM
Justin Zhan, Lijo Thomas, Venkata Pasumarthi
2010 — conf
A Computational Trust Framework for Social Computing (A Position Paper for Panel Discussion on Social Computing Foundations).
SocialCom/PASSAT
Justin Zhan, Xing Fang
2010 J jnl
Combined Authentication-Based Multilevel Access Control in Mobile Application for DailyLifeService.
IEEE Trans. Mob. Comput.
Hyun-A Park, Jong-Wook Hong, Jae Hyun Park, Justin Zhan, Dong Hoon Lee
2010 J jnl
Granular computing in privacy-preserving data mining.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Justin Zhan
2010 C conf
Multi-party k-Means Clustering with Privacy Consideration.
ISPA
Teng-Kai Yu, D. T. Lee, Shih-Ming Chang, Justin Zhan
2010 — conf
Phishing Using a Modified Bayesian Technique.
SocialCom/PASSAT
Krist Beck, Justin Zhan
2010 J jnl
Privacy-Preserving Collaborative Recommender Systems.
IEEE Trans. Syst. Man Cybern. Part C
Justin Zhan, Chia-Lung Hsieh, I-Cheng Wang, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang
2010 J jnl
Secure Collaborative Social Networks.
IEEE Trans. Syst. Man Cybern. Part C
Justin Zhan
2010 J jnl
Towards real-time performance of data privacy protection.
Int. J. Granul. Comput. Rough Sets Intell. Syst.
Jie Wang, Jun Zhang, Justin Zhan
2009 — conf
Anomaly Detection in Dynamic Social Systems Using Weak Estimators.
CSE (4)
Justin Zhan, B. John Oommen, Johanna Crisostomo
2009 C conf
Authentication Using Multi-level Social Networks.
IC3K
Justin Zhan, Xing Fang
2009 — conf
Importance of Data Standardization in Privacy-Preserving K-Means Clustering.
DASFAA Workshops
Chunhua Su, Justin Zhan, Kouichi Sakurai
2009 — conf
Practical Values for Privacy.
CSE (3)
Benjamin Wasser, Justin Zhan
2009 — conf
Privacy-Preserving Collaborative Data Mining.
KDIR
Justin Zhan
2009 J jnl
Toward Empirical Aspects of Secure Scalar Product.
IEEE Trans. Syst. Man Cybern. Part C
I-Cheng Wang, Chih-Hao Shen, Justin Zhan, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang
2008 Misc conf
Attribute-based Access Control using Combined Authentication Technologies.
GrC
Hyun-A Park, Dong Hoon Lee, Justin Zhan
2008 C conf
Computer-Aided Privacy Requirements Elicitation Technique.
APSCC
Seiya Miyazaki, Nancy R. Mead, Justin Zhan
2008 C conf
Efficient keyword index search over encrypted documents of groups.
ISI
Hyun-A Park, Dong Hoon Lee, Justin Zhan, Gary Blosser
2008 — ed.
Intelligence and Security Informatics, IEEE ISI 2008 International Workshops: PAISI, PACCF, and SOCO 2008, Taipei, Taiwan, June 17, 2008. Proceedings
ISI Workshops
Christopher C. Yang, Hsinchun Chen, Michael Chau, Kuiyu Chang, Sheau-Dong Lang, Patrick S. Chen, Raymond Hsieh, Daniel Zeng, Fei-Yue Wang, Kathleen M. Carley, Wenji Mao, Justin Zhan
2008 — conf
Privacy-Aware Access Control through Negotiation in Daily Life Service.
ISI Workshops
Hyun-A Park, Justin Zhan, Dong Hoon Lee
2008 — conf
Privacy-Preserving Collaborative E-Voting.
ISI Workshops
Gary Blosser, Justin Zhan
2008 — conf
Privacy-Preserving Collaborative Social Networks.
ISI Workshops
Justin Zhan, Gary Blosser, Christopher C. Yang, Lisa Singh
2008 J jnl
Privacy-preserving collaborative data mining.
IEEE Comput. Intell. Mag.
Justin Zhan
2008 Misc conf
Scalar-product based Secure Two-party Computation.
GrC
Chih-Hao Shen, Justin Zhan, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang
2008 Misc conf
Towards Efficient Privacy-preserving Collaborative Recommender Systems.
GrC
Justin Zhan, I-Cheng Wang, Chia-Lung Hsieh, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang
2008 — conf
Towards Improving QoS-Guided Scheduling in Grids.
ChinaGrid
Ching-Hsien Hsu, Justin Zhan, Wai-Chi Fang, Jianhua Ma
2008 Misc conf
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates.
GrC
Jie Wang, Justin Zhan, Jun Zhang
2008 — conf
Using Social Networks to Organize Researcher Community.
ISI Workshops
Xian-Ming Xu, Justin Zhan, Hai-Tao Zhu
2007 Misc conf
A Scientific Decoding of YinYang 1-2-4-8-64 for Equilibrium-Based Granular Computing.
GrC
Wen-Ran Zhang, Justin Zhan
2007 Misc conf
A Verification Scheme for Data Aggregation in Data Mining.
GrC
Kilho Shin, Justin Zhan
2007 B conf
Collaboratively mining sequential patterns over private data.
SMC
Justin Zhan
2007 Misc conf
Improved Customers' Privacy Preference Policy.
GrC
Ran Wei, Justin Zhan
2007 Misc conf
Measuring Topological Anonymity in Social Networks.
GrC
Lisa Singh, Justin Zhan
2007 B conf
Privacy preserving K-Medoids clustering.
SMC
Justin Zhan
2007 Misc conf
Secure Similarity Search.
GrC
Hyun-A Park, Bum Han Kim, Dong Hoon Lee, Yon Dohn Chung, Justin Zhan
2007 J jnl
Secure Similarity Search.
IACR Cryptol. ePrint Arch.
Hyun-A Park, Bum Han Kim, Dong Hoon Lee, Yon Dohn Chung, Justin Zhan