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ORCIDJustin 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, Justin Zhan:
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, Justin Zhan:
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, Justin Zhan, Aeren Dempsey:
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, Justin Zhan:
Deep Physical Informed Neural Networks for Metamaterial Design. IEEE Access 8: 24506-24513 (2020) - [j60]Zhiwei Fang, Justin Zhan:
A Physics-Informed Neural Network Framework for PDEs on 3D Surfaces: Time Independent Problems. IEEE Access 8: 26328-26335 (2020) - [j59]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: 26433-26444 (2020) - [j58]Michael R. Schwob, Aeren Dempsey, Felix Zhan, Justin Zhan, Asif Mehmood:
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, Justin Zhan:
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, Justin Zhan:
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, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh:
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, Justin Zhan:
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, 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: 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, Elliott Ploutz, Justin Zhan, Laxmi P. Gewali, Paul Y. Oh:
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, 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: 97-104 - [c83]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: 1-6 - [c82]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: 1-6 - 2018
- [j52]Payam Ezatpoor, Justin Zhan, Jimmy Ming-Tai Wu, Carter Chiu:
Finding Top-k Dominance on Incomplete Big Data Using MapReduce Framework. IEEE Access 6: 7872-7887 (2018) - [j51]Moinak Bhaduri, Justin Zhan:
Using Empirical Recurrence Rates Ratio for Time Series Data Similarity. IEEE Access 6: 30855-30864 (2018) - [j50]Carter Chiu, Justin Zhan:
Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators. IEEE Access 6: 35937-35945 (2018) - [j49]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): 165-196 (2018) - [c81]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: 1-2 - [c80]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: 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, Justin Zhan, Jerry Chun-Wei Lin:
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, Justin Zhan, Felix Zhan:
Uncovering Suspicious Activity From Partially Paired and Incomplete Multimodal Data. IEEE Access 5: 13689-13698 (2017) - [j45]Moinak Bhaduri, Justin Zhan, Carter Chiu, Felix Zhan:
A Novel Online and Non-Parametric Approach for Drift Detection in Big Data. IEEE Access 5: 15883-15892 (2017) - [j44]Matin Pirouz, Justin Zhan:
Toward Efficient Hub-Less Real Time Personalized PageRank. IEEE Access 5: 26364-26375 (2017) - [j43]Moinak Bhaduri, Justin Zhan, Carter Chiu:
A Novel Weak Estimator For Dynamic Systems. IEEE Access 5: 27354-27365 (2017) - [j42]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: 83-96 (2017) - [j41]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: 161-172 (2017) - [j40]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): 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, Binay Dahal:
Using deep learning for short text understanding. J. Big Data 4: 34 (2017) - [j36]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): 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, Justin Zhan:
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, Jerry Chun-Wei Lin, Han-Chieh Chao, Justin Zhan:
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, 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): 233-243 (2016) - [j30]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: 1-18 (2016) - [j29]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: 269-284 (2016) - [j28]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: 320-330 (2016) - [j27]Haysam Selim, Justin Zhan:
Towards shortest path identification on large networks. J. Big Data 3: 10 (2016) - [j26]Matin Pirouz, Justin Zhan:
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, Justin Zhan, Shahab Tayeb:
An optimized approach for community detection and ranking. J. Big Data 3: 22 (2016) - [j23]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: 100-115 (2016) - [c73]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: 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, Justin Zhan:
Structural and functional analytics for community detection in large-scale complex networks. J. Big Data 2: 11 (2015) - [j20]Pravin Chopade, Justin Zhan:
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, Justin Z. Zhan, Kitae Jeong:
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, 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: 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, Johanna Crisostomo:
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, Johanna Crisostomo:
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]