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Justin Zhijun Zhan
Justin Z. Zhan – Justin Zhan
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2020 – today
- 2023
- [c97]Yen-Chen Li, Justin Zhan:
Effect of Dimensionality Reduction on Uncertainty Quantification in Trustworthy Machine Learning. ICMLC 2023: 326-332 - [i7]Usman Anjum, Samuel Lin, Justin Zhan:
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series. CoRR abs/2301.13031 (2023) - 2022
- [c96]Hadi Salman
, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. IEEE Big Data 2022: 1107-1113 - [i6]Benjamin J. Lowe, Hadi Salman
GHM Wavelet Transform for Deep Image Super Resolution. CoRR abs/2204.07862 (2022) - [i5]Hadi Salman, Caleb Parks, Shi Yin Hong, Justin Zhan:
WaveNets: Wavelet Channel Attention Networks. CoRR abs/2211.02695 (2022) - 2021
- [j65]Matthew Swan
Clustering Hypergraphs via the MapEquation. IEEE Access 9: 72377-72386 (2021) - [j64]Carson Molder, Benjamin J. Lowe, Justin Zhan:
Learning Medical Materials From Radiography Images. Frontiers Artif. Intell. 4: 638299 (2021) - [j63]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): 100303 (2021) - [j62]Michael R. Schwob
Modeling Cell Communication with Time-Dependent Signaling Hypergraphs. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1151-1163 (2021) - [c95]Aneesh Komanduri, Justin Zhan:
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. ICMLA 2021: 903-908 - [i4]Zhiwei Fang, Justin Z. Zhan, Xiu Yang:
A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems. CoRR abs/2103.13878 (2021) - [i3]Kate Pearce, Tiffany Zhan, Aneesh Komanduri, Justin Zhan:
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering. CoRR abs/2110.03142 (2021) - [i2]Aneesh Komanduri, Justin Zhan:
Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks. CoRR abs/2112.07743 (2021) - 2020
- [j61]Zhiwei Fang
Deep Physical Informed Neural Networks for Metamaterial Design. IEEE Access 8: 24506-24513 (2020) - [j60]Zhiwei Fang
A Physics-Informed Neural Network Framework for PDEs on 3D Surfaces: Time Independent Problems. IEEE Access 8: 26328-26335 (2020) - [j59]Justin Zhan
Towards a Novel Generalized Chinese Remainder Algorithm for Extended Rabin Cryptosystem. IEEE Access 8: 26433-26444 (2020) - [j58]Michael R. Schwob
Robust Multimodal Heartbeat Detection Using Hybrid Neural Networks. IEEE Access 8: 82201-82214 (2020) - [c94]Binay Dahal, Justin Zhan:
Effective Mutation and Recombination for Evolving Convolutional Networks. APPIS 2020: 3:1-3:6 - [c93]Hadi Salman
Semi-Supervised Learning and Feature Fusion for Multi-view Data Clustering. IEEE BigData 2020: 645-650 - [c92]Alycia N. Carey, Justin Zhan:
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images. IEEE BigData 2020: 3711-3720 - [c91]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: 1016-1022 - [c90]Hadi Salman
Similarity Metric for Millions of Unlabeled Face Images. CCWC 2020: 1033-1040 - [c89]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: 1041-1048
2010 – 2019
- 2019
- [j57]Felix Zhan, Anthony Martinez, Nilab Rai, Richard Mcconnell, Matthew Swan, Moinak Bhaduri
Beyond Cumulative Sum Charting in Non-Stationarity Detection and Estimation. IEEE Access 7: 140860-140874 (2019) - [j56]Binay Dahal, Justin Zhan
USRRM: Pairwise Ranking and Scoring Images Using Its Aesthetic Quality. IEEE Access 7: 141171-141178 (2019) - [j55]Carter Chiu
An Evolutionary Approach to Compact DAG Neural Network Optimization. IEEE Access 7: 178331-178341 (2019) - [j54]Andrea Hart, Brianna Smith, Sean Smith, Elijah Sales, Jacqueline Hernandez-Camargo, Yarlin Mayor Garcia, Felix Zhan, Lori Griswold, Brian Dunkelberger, Michael R. Schwob
Resolving intravoxel white matter structures in the human brain using regularized regression and clustering. J. Big Data 6: 61 (2019) - [j53]Sanket Chobe, Justin Zhan
Advancing community detection using Keyword Attribute Search. J. Big Data 6: 83 (2019) - [c88]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: 134-139 - [c87]Vanessa Sanchez, Russell Ro, Lauryn Kent, Jamie Navas, Oluwatosin Diyan, Chris Roussel, Shahab Tayeb, Matin Pirouz, Carter Chiu
ScanAlert: Electronic Medication Monitor and Reminder to Improve Medical Adherence. CCWC 2019: 537-543 - [c86]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: 690-694 - [c85]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: 1-8 - [c84]Ethan Hunt, Binay Dahal, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh, Ritvik Janamsetty
Machine Learning Models for Paraphrase Identification and its Applications on Plagiarism Detection. ICBK 2019: 97-104 - [c83]Ferdos Fessahaye
T-RECSYS: A Novel Music Recommendation System Using Deep Learning. ICCE 2019: 1-6 - [c82]Daniel Pintado, Vanessa Sanchez, Erin Adarve, Mark Mata, Zekeriya Gogebakan, Bunyamin Cabuk, Carter Chiu
Deep Learning Based Shopping Assistant For The Visually Impaired. ICCE 2019: 1-6 - 2018
- [j52]Payam Ezatpoor, Justin Zhan
Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework. IEEE Access 6: 7872-7887 (2018) - [j51]Moinak Bhaduri
Using Empirical Recurrence Rates Ratio for Time Series Data Similarity. IEEE Access 6: 30855-30864 (2018) - [j50]Carter Chiu
Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators. IEEE Access 6: 35937-35945 (2018) - [j49]Wensheng Gan
Exploiting highly qualified pattern with frequency and weight occupancy. Knowl. Inf. Syst. 56(1): 165-196 (2018) - [c81]Felix Zhan, Gabriella Laines, Sarah Deniz, Sahan Paliskara, Irvin Ochoa, Idania Guerra, Shahab Tayeb, Carter Chiu
Prediction of online social networks users' behaviors with a game theoretic approach. CCNC 2018: 1-2 - [c80]Felix Zhan, Brandon Waters, Maria Mijangos, LeAnn Chung, Raghav Bhagat, Tanvi Bhagat, Matin Pirouz, Carter Chiu
An efficient alternative to personalized page rank for friend recommendations. CCNC 2018: 1-2 - [c79]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: 287-293 - [c78]Matin Pirouz, Justin Zhan:
Optimized Label Propagation Community Detection on Big Data Networks. ICBDE 2018: 57-62 - [c77]Matin Pirouz, Sai Phani Parsa, Justin Zhan:
Optimized Rank Estimator in Big Data Social Networks. ICBDE 2018: 80-84 - 2017
- [j48]Jimmy Ming-Tai Wu
Ant Colony System Sanitization Approach to Hiding Sensitive Itemsets. IEEE Access 5: 10024-10039 (2017) - [j47]Raymond Ahn, Justin Zhan
Using Proxies for Node Immunization Identification on Large Graphs. IEEE Access 5: 13046-13053 (2017) - [j46]Carter Chiu
Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data. IEEE Access 5: 13689-13698 (2017) - [j45]Moinak Bhaduri
A Novel Online and Non-Parametric Approach for Drift Detection in Big Data. IEEE Access 5: 15883-15892 (2017) - [j44]Matin Pirouz
Toward Efficient Hub-Less Real Time Personalized PageRank. IEEE Access 5: 26364-26375 (2017) - [j43]Moinak Bhaduri
A Novel Weak Estimator For Dynamic Systems. IEEE Access 5: 27354-27365 (2017) - [j42]Wensheng Gan
Mining of frequent patterns with multiple minimum supports. Eng. Appl. Artif. Intell. 60: 83-96 (2017) - [j41]Wensheng Gan
Extracting recent weighted-based patterns from uncertain temporal databases. Eng. Appl. Artif. Intell. 61: 161-172 (2017) - [j40]Jerry Chun-Wei Lin
Efficient Mining of Multiple Fuzzy Frequent Itemsets. Int. J. Fuzzy Syst. 19(4): 1032-1040 (2017) - [j39]Justin Zhan, Timothy Rafalski, Gennady Stashkevich, Edward Verenich
Vaccination allocation in large dynamic networks. J. Big Data 4: 2 (2017) - [j38]Justin Zhan, Sweta Gurung, Sai Phani Krishna Parsa:
Identification of top-K nodes in large networks using Katz centrality. J. Big Data 4: 16 (2017) - [j37]Justin Zhan
Using deep learning for short text understanding. J. Big Data 4: 34 (2017) - [j36]Jerry Chun-Wei Lin
Efficient hiding of confidential high-utility itemsets with minimal side effects. J. Exp. Theor. Artif. Intell. 29(6): 1225-1245 (2017) - [j35]Jimmy Ming-Tai Wu, Justin Zhan, Jerry Chun-Wei Lin
An ACO-based approach to mine high-utility itemsets. Knowl. Based Syst. 116: 102-113 (2017) - [j34]Pravin Chopade
A Framework for Community Detection in Large Networks Using Game-Theoretic Modeling. IEEE Trans. Big Data 3(3): 276-288 (2017) - [j33]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) - [j32]Wensheng Gan
Data mining in distributed environment: a survey. WIREs Data Mining Knowl. Discov. 7(6) (2017) - [c76]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: 2644-2651 - [c75]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: 3897-3903 - [c74]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: 4522-4528 - 2016
- [j31]Jerry Chun-Wei Lin
An efficient algorithm to mine high average-utility itemsets. Adv. Eng. Informatics 30(2): 233-243 (2016) - [j30]Jerry Chun-Wei Lin
A sanitization approach for hiding sensitive itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 53: 1-18 (2016) - [j29]Jerry Chun-Wei Lin
Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining. Eng. Appl. Artif. Intell. 55: 269-284 (2016) - [j28]Jerry Chun-Wei Lin
Mining high-utility itemsets based on particle swarm optimization. Eng. Appl. Artif. Intell. 55: 320-330 (2016) - [j27]Haysam Selim, Justin Zhan:
Towards shortest path identification on large networks. J. Big Data 3: 10 (2016) - [j26]Matin Pirouz
Optimized relativity search: node reduction in personalized page rank estimation for large graphs. J. Big Data 3: 12 (2016) - [j25]Justin Zhan, Vivek Guidibande, Sai Phani Krishna Parsa
Identification of top-K influential communities in big networks. J. Big Data 3: 16 (2016) - [j24]Matin Pirouz
An optimized approach for community detection and ranking. J. Big Data 3: 22 (2016) - [j23]Jerry Chun-Wei Lin
Efficient mining of high-utility itemsets using multiple minimum utility thresholds. Knowl. Based Syst. 113: 100-115 (2016) - [c73]Jerry Chun-Wei Lin
An Efficient Anonymous System for Transaction Data. MISNC 2016: 28 - [c72]Jimmy Ming-Thai Wu, Justin Zhan, Jerry Chun-Wei Lin
Mining of High-Utility Itemsets by ACO Algorithm. MISNC 2016: 44 - [c71]Haysam Selim, Shahab Tayeb, Yoohwan Kim, Justin Zhan, Matin Pirouz:
Vulnerability Analysis of Iframe Attacks on Websites. MISNC 2016: 45 - 2015
- [j22]Xing Fang, Justin Zhan:
Sentiment analysis using product review data. J. Big Data 2: 5 (2015) - [j21]Pravin Chopade
Structural and functional analytics for community detection in large-scale complex networks. J. Big Data 2: 11 (2015) - [j20]Pravin Chopade
Erratum to: Structural and functional analytics for community detection in large-scale complex networks. J. Big Data 2: 19 (2015) - [c70]Lindsay Simpkins, Xiaohong Yuan, Jwalit Modi, Justin Zhan, Li Yang:
A course module on web tracking and privacy. InfoSecCD 2015: 10:1-10:7 - 2014
- [j19]Justin Zhan, Xing Fang:
A computational framework for detecting malicious actors in communities. Int. J. Inf. Priv. Secur. Integr. 2(1): 1-20 (2014) - [c69]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: 405-423 - 2013
- [j18]Stefanos Gritzalis
IT convergence and security. Electron. Commer. Res. 13(3): 237-241 (2013) - [j17]Alex Doyal, Justin Zhan:
Triple DoS: DDoS defence and traceback. Int. J. Inf. Priv. Secur. Integr. 1(4): 299-311 (2013) - [c68]Arcot Rajasekar, Sharlini Sankaran
Sociometric Methods for Relevancy Analysis of Long Tail Science Data. SocialCom 2013: 1-6 - [c67]Xing Fang, Justin Zhan, Nicholas Koceja:
Towards Network Reduction on Big Data. SocialCom 2013: 685-690 - [c66]Ahmad Albu-Shamah, Justin Zhan:
Towards Obesity Causes, Prevalence and Prevention. SocialCom 2013: 852-857 - [c65]Curtis M. Passmore, Justin Zhan:
Determining Appropriate Staffing Adjustments in a Call Center Staff Group. SocialCom 2013: 1046-1053 - 2012
- [j16]Dongsong Zhang, Wenji Mao, Justin Zhan, Daniel Zeng:
Editorial: special issue on "social computing and e-business". Inf. Syst. E Bus. Manag. 10(2): 161-163 (2012) - [c64]Xing Fang, Nicholas Koceja, Justin Zhan, Gerry V. Dozier, Dipankar Dasgupta:
An artificial immune system for phishing detection. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c63]Munene W. Kanampiu, Justin Zhan:
A Dynamic Covert Passive Actors Detection Scheme for a Healthy Networked Community. CyberSecurity 2012: 178-186 - [c62]Alex Doyal, Justin Zhan, Huiming Anna Yu:
Towards Defeating DDoS Attacks. CyberSecurity 2012: 209-212 - [c61]Huiming Anna Yu, Jonathan Rann, Justin Zhan:
SUCH: A Cloud Computing Management Tool. NTMS 2012: 1-4 - [c60]Xing Fang, Justin Zhan:
Task-Oriented Social Ego Network Generation via Dynamic Collaborator Selection. SocialCom/PASSAT 2012: 41-50 - [c59]Munene W. Kanampiu, Justin Zhan, Jinsuk Baek:
A Secure Group Collaboration Protocol for Nonverbal Human Social Signals Featuring Deception Detection. SocialCom/PASSAT 2012: 813-818 - [c58]Xing Fang, Justin Zhan:
A Computational Framework for Detecting Malicious Actors in Communities. SocialInformatics 2012: 339-343 - 2011
- [j15]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): 106-126 (2011) - [j14]Justin Zhan, Xing Fang:
Social computing: the state of the art. Int. J. Soc. Comput. Cyber Phys. Syst. 1(1): 1-12 (2011) - [j13]Justin Zhan, B. John Oommen
Anomaly Detection in Dynamic Systems Using Weak Estimators. ACM Trans. Internet Techn. 11(1): 3:1-3:16 (2011) - [c57]Justin Zhan, Lijo Thomas:
Phishing detection using stochastic learning-based weak estimators. CICS 2011: 55-59 - [c56]Justin Zhan, Xing Fang, Peter Killion:
Trust optimization in task-oriented social networks. CICS 2011: 137-143 - [c55]Justin Zhan, Xing Fang, Naveen Bandaru:
Location privacy protection on social networks. CICS 2011: 160-163 - [c54]Justin Zhan, Lijo Thomas, Venkata Pasumarthi:
Using gaming strategies for attacker and defender in recommender systems. CIDM 2011: 80-87 - [c53]Justin Zhan, B. John Oommen
Anomaly detection using weak estimators. ISI 2011: 143-149 - [c52]Xing Fang, Justin Zhan, Nicholas Koceja, Kenneth Williams, Justin Brewton:
Integrating online social networks for enhancing reputation systems of e-commerce. ISI 2011: 384-389 - [c51]Justin Zhan, Xing Fang:
Location Privacy Protection on Social Networks. SBP 2011: 78-85 - [c50]Justin Zhan, Xing Fang:
Trust Maximization in Social Networks. SBP 2011: 205-211 - [c49]Justin Zhan, Nadia M. Jones, Michael D. Purnell:
Top-K Algorithm for Recommendation in Social Networking Kingdoms. SocialCom/PASSAT 2011: 688-694 - [c48]Justin Zhan, Xing Fang:
Anomaly Detection in Social-Economic Computing. SocialCom/PASSAT 2011: 695-703 - [c47]Justin Zhan, Luis Cabrera, Gasim Osman, Ronak Shah:
Using Private Matching for Securely Querying Genomic Sequences. SocialCom/PASSAT 2011: 1163-1168 - [c46]Justin Zhan, Xing Fang:
A Novel Trust Computing System for Social Networks. SocialCom/PASSAT 2011: 1284-1289 - 2010
- [j12]Justin Zhan:
Granular computing in privacy-preserving data mining. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(3): 272-288 (2010) - [j11]Jie Wang, Jun Zhang, Justin Zhan:
Towards real-time performance of data privacy protection. Int. J. Granul. Comput. Rough Sets Intell. Syst. 1(4): 329-342 (2010) - [j10]Hyun-A Park, Jong-Wook Hong, Jae Hyun Park
Combined Authentication-Based Multilevel Access Control in Mobile Application for DailyLifeService. IEEE Trans. Mob. Comput. 9(6): 824-837 (2010) - [j9]Justin Zhan, Chia-Lung Hsieh, I-Cheng Wang, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang:
Privacy-Preserving Collaborative Recommender Systems. IEEE Trans. Syst. Man Cybern. Part C 40(4): 472-476 (2010) - [j8]Justin Zhan:
Secure Collaborative Social Networks. IEEE Trans. Syst. Man Cybern. Part C 40(6): 682-689 (2010) - [c45]Teng-Kai Yu, D. T. Lee, Shih-Ming Chang, Justin Zhan:
Multi-party k-Means Clustering with Privacy Consideration. ISPA 2010: 200-207 - [c44]Justin Zhan, Xing Fang:
A Computational Trust Framework for Social Computing (A Position Paper for Panel Discussion on Social Computing Foundations). SocialCom/PASSAT 2010: 264-269 - [c43]Krist Beck, Justin Zhan:
Phishing Using a Modified Bayesian Technique. SocialCom/PASSAT 2010: 649-655 - [c42]Yitao Duan, NetEase Youdao, John F. Canny, Justin Z. Zhan:
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users. USENIX Security Symposium 2010: 207-222
2000 – 2009
- 2009
- [j7]I-Cheng Wang, Chih-Hao Shen, Justin Zhan, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang:
Toward Empirical Aspects of Secure Scalar Product. IEEE Trans. Syst. Man Cybern. Part C 39(4): 440-447 (2009) - [c41]Justin Zhan, B. John Oommen
Anomaly Detection in Dynamic Social Systems Using Weak Estimators. CSE (4) 2009: 18-25 - [c40]Benjamin Wasser, Justin Zhan:
Practical Values for Privacy. CSE (3) 2009: 343-346 - [c39]Chunhua Su, Justin Zhan, Kouichi Sakurai:
Importance of Data Standardization in Privacy-Preserving K-Means Clustering. DASFAA Workshops 2009: 276-286 - [c38]Justin Zhan:
Privacy-Preserving Collaborative Data Mining. KDIR 2009: 15 - [c37]Justin Zhan, Xing Fang:
Authentication Using Multi-level Social Networks. IC3K 2009: 35-49 - 2008
- [j6]Justin Zhan:
Privacy-preserving collaborative data mining. IEEE Comput. Intell. Mag. 3(2): 31-41 (2008) - [c36]Seiya Miyazaki, Nancy R. Mead
Computer-Aided Privacy Requirements Elicitation Technique. APSCC 2008: 367-372 - [c35]Ching-Hsien Hsu, Justin Zhan, Wai-Chi Fang, Jianhua Ma:
Towards Improving QoS-Guided Scheduling in Grids. ChinaGrid 2008: 89-95 - [c34]Justin Zhijun Zhan, Tsau Young Lin:
Granular Computing in Privacy-preserving Data Mining. GrC 2008: 86-92 - [c33]Hyun-A Park, Dong Hoon Lee, Justin Zhan:
Attribute-based Access Control using Combined Authentication Technologies. GrC 2008: 518-523 - [c32]Chih-Hao Shen, Justin Zhan, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang:
Scalar-product based Secure Two-party Computation. GrC 2008: 556-561 - [c31]Jie Wang, Justin Zhan, Jun Zhang:
Towards Real-time Performance of Data Value Hiding for Frequent Data Updates. GrC 2008: 606-611 - [c30]Justin Zhan, I-Cheng Wang, Chia-Lung Hsieh, Tsan-sheng Hsu, Churn-Jung Liau, Da-Wei Wang:
Towards Efficient Privacy-preserving Collaborative Recommender Systems. GrC 2008: 778-783 - [c29]Justin Zhan, Gary Blosser, Christopher C. Yang, Lisa Singh:
Privacy-Preserving Collaborative Social Networks. ISI Workshops 2008: 114-125 - [c28]Hyun-A Park, Dong Hoon Lee, Justin Zhan, Gary Blosser:
Efficient keyword index search over encrypted documents of groups. ISI 2008: 225-229 - [c27]Xian-Ming Xu, Justin Zhan, Hai-tao Zhu:
Using Social Networks to Organize Researcher Community. ISI Workshops 2008: 421-427 - [c26]Gary Blosser, Justin Zhan:
Privacy-Preserving Collaborative E-Voting. ISI Workshops 2008: 508-513 - [c25]Hyun-A Park, Justin Zhan, Dong Hoon Lee:
Privacy-Aware Access Control through Negotiation in Daily Life Service. ISI Workshops 2008: 514-519 - [p3]Justin Zhijun Zhan, LiWu Chang, Stan Matwin
How to Prevent Private Data from being Disclosed to a Malicious Attacker. Data Mining: Foundations and Practice 2008: 517-528 - [p2]Justin Zhijun Zhan, Stan Matwin
Privacy-Preserving Naive Bayesian Classification over Horizontally Partitioned Data. Data Mining: Foundations and Practice 2008: 529-538 - [e1]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:
Intelligence and Security Informatics, IEEE ISI 2008 International Workshops: PAISI, PACCF, and SOCO 2008, Taipei, Taiwan, June 17, 2008. Proceedings. Lecture Notes in Computer Science 5075, Springer 2008, ISBN 978-3-540-69136-5 [contents] - 2007
- [j5]Justin Zhijun Zhan, Stan Matwin
Privacy-preserving multi-party decision tree induction. Int. J. Bus. Intell. Data Min. 2(2): 197-212 (2007) - [j4]Justin Zhijun Zhan, Stan Matwin:
Privacy-preserving support vector machine classification. Int. J. Intell. Inf. Database Syst. 1(3/4): 356-385 (2007) - [j3]Justin Zhijun Zhan, Stan Matwin:
Privacy-Preserving Data Mining in Electronic Surveys. Int. J. Netw. Secur. 4(3): 318-327 (2007) - [j2]Justin Zhijun Zhan, Stan Matwin
Privacy-preserving collaborative association rule mining. J. Netw. Comput. Appl. 30(3): 1216-1227 (2007) - [c24]Justin Z. Zhan:
Quantifying Privacy for Privacy Preserving Data Mining. CIDM 2007: 630-636 - [c23]Justin Z. Zhan:
Using Homomorphic Encryption For Privacy-Preserving Collaborative Decision Tree Classification. CIDM 2007: 637-645 - [c22]Yitao Duan, John F. Canny, Justin Z. Zhan:
Efficient Privacy-Preserving Association Rule Mining: P4P Style. CIDM 2007: 654-660 - [c21]Wen-Ran Zhang, Justin Zhan:
A Scientific Decoding of YinYang 1-2-4-8-64 for Equilibrium-Based Granular Computing. GrC 2007: 28-31 - [c20]Kilho Shin, Justin Zhan:
A Verification Scheme for Data Aggregation in Data Mining. GrC 2007: 374-379 - [c19]Hyun-A Park, Bum Han Kim, Dong Hoon Lee, Yon Dohn Chung, Justin Zhan:
Secure Similarity Search. GrC 2007: 598- - [c18]Lisa Singh, Justin Zhan:
Measuring Topological Anonymity in Social Networks. GrC 2007: 770-774 - [c17]Ran Wei, Justin Zhan:
Improved Customers' Privacy Preference Policy. GrC 2007: 787-792 - [c16]Justin Z. Zhan:
Privacy Preserving Collaborative Data Mining. ISI 2007: 208 - [c15]Justin Z. Zhan:
Using Homomorphic Encryption and Digital Envelope Techniques for Privacy Preserving Collaborative Sequential Pattern Mining. ISI 2007: 331-334 - [c14]Justin Zhan:
Collaboratively mining sequential patterns over private data. SMC 2007: 3323-3326 - [c13]Justin Zhan:
Privacy preserving K-Medoids clustering. SMC 2007: 3600-3603 - [i1]Hyun-A Park, Bum Han Kim, Dong Hoon Lee, Yon Dohn Chung, Justin Zhan:
Secure Similarity Search. IACR Cryptol. ePrint Arch. 2007: 312 (2007) - 2006
- [c12]Justin Zhijun Zhan, Stan Matwin:
A Crypto-Based Approach to Privacy-Preserving Collaborative Data Mining. ICDM Workshops 2006: 546-550 - [c11]Justin Zhijun Zhan, Stan Matwin
Privacy-Oriented Collaborative Learning Systems. SMC 2006: 4102-4105 - [c10]Justin Z. Zhan:
Using Cryptography for Privacy Protection in Data Mining Systems. WImBI 2006: 494-513 - [p1]Justin Zhijun Zhan, LiWu Chang, Stan Matwin:
Privacy-Preserving Collaborative Data Mining. Foundations and Novel Approaches in Data Mining 2006: 213-227 - 2005
- [j1]Justin Zhijun Zhan, LiWu Chang, Stan Matwin:
Privacy Preserving K-nearest Neighbor Classification. Int. J. Netw. Secur. 1(1): 46-51 (2005) - [c9]Justin Zhijun Zhan, Stan Matwin, LiWu Chang:
Privacy-Preserving Collaborative Association Rule Mining. DBSec 2005: 153-165 - [c8]Justin Zhijun Zhan, LiWu Chang, Stan Matwin
Building k-nearest neighbor classifiers on vertically partitioned private data. GrC 2005: 708-711 - [c7]Justin Zhijun Zhan, Stan Matwin, LiWu Chang:
Private Mining of Association Rules. ISI 2005: 72-80 - 2004
- [c6]Justin Zhijun Zhan, LiWu Chang, Stan Matwin:
Privacy-Preserving Multi-Party Decision Tree Induction. DBSec 2004: 341-355 - [c5]Justin Zhijun Zhan, LiWu Chang, Stan Matwin:
Bayesian Network Induction With Incomplete Private Data. ICEB 2004: 1119-1124 - [c4]Justin Zhijun Zhan, Stan Matwin, Nathalie Japkowicz, LiWu Chang:
Privacy-Preserving Collaborative Association Rule Mining. ICEB 2004: 1172-1178 - [c3]Justin Zhijun Zhan, Stan Matwin:
Privacy-Preserving Data Mining in Electronic Surveys. ICEB 2004: 1179-1185 - 2003
- [c2]Wenliang Du, Justin Zhijun Zhan:
Using randomized response techniques for privacy-preserving data mining. KDD 2003: 505-510 - 2002
- [c1]Wenliang Du, Justin Zhijun Zhan:
A practical approach to solve Secure Multi-party Computation problems. NSPW 2002: 127-135
Coauthor Index
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