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2020 – today
- 2021
[j38]Shuhan Yuan
, Xintao Wu:
Deep learning for insider threat detection: Review, challenges and opportunities. Comput. Secur. 104: 102221 (2021)- [j37]Wei Du, Xintao Wu:
Enhancing personalized modeling via weighted and adversarial learning. Int. J. Data Sci. Anal. 12(1): 1-14 (2021) - [j36]Donghui Hu, Chunya Hu, Yuqi Fan, Xintao Wu:
oGBAC - A Group Based Access Control Framework for Information Sharing in Online Social Networks. IEEE Trans. Dependable Secur. Comput. 18(1): 100-116 (2021) - [j35]Yebo Feng, Jun Li, Lei Jiao, Xintao Wu:
Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic. IEEE Trans. Dependable Secur. Comput. 18(5): 2149-2163 (2021) - [c106]Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu:
A Generative Adversarial Framework for Bounding Confounded Causal Effects. AAAI 2021: 12104-12112 - [c105]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. AIED (1) 2021: 408-419 - [c104]Haixuan Guo, Shuhan Yuan, Xintao Wu:
LogBERT: Log Anomaly Detection via BERT. IJCNN 2021: 1-8 - [c103]Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD 2021: 1924-1932 - [c102]Chenyi Hu, Victor S. Sheng, Ningning Wu, Xintao Wu:
Managing Uncertainty in Crowdsourcing with Interval-Valued Labels. NAFIPS 2021: 166-178 - [c101]Kevin Labille, Wen Huang, Xintao Wu:
Transferable Contextual Bandits with Prior Observations. PAKDD (2) 2021: 398-410 - [c100]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - [c99]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906 - [i34]Haixuan Guo, Shuhan Yuan, Xintao Wu:
LogBERT: Log Anomaly Detection via BERT. CoRR abs/2103.04475 (2021) - [i33]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. CoRR abs/2105.11069 (2021) - [i32]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math KCs via Task-Adaptive Pre-Trained BERT. CoRR abs/2105.11343 (2021) - [i31]Wei Du, Xintao Wu:
Robust Fairness-aware Learning Under Sample Selection Bias. CoRR abs/2105.11570 (2021) - [i30]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil Heffernan, Xintao Wu, Dongwon Lee:
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education. CoRR abs/2106.07340 (2021) - [i29]Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. CoRR abs/2109.10458 (2021) - [i28]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. CoRR abs/2110.04372 (2021) - [i27]Minh-Hao Van, Wei Du, Xintao Wu, Aidong Lu:
Poisoning Attacks on Fair Machine Learning. CoRR abs/2110.08932 (2021) - 2020
- [c98]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [c97]Wei Du, Xintao Wu:
AdvPL: Adversarial Personalized Learning. DSAA 2020: 90-98 - [c96]Shudi Shao, Zhengyi Qiu, Xiao Yu, Wei Yang, Guoliang Jin, Tao Xie, Xintao Wu:
Database-Access Performance Antipatterns in Database-Backed Web Applications. ICSME 2020: 58-69 - [c95]Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu:
Fair Multiple Decision Making Through Soft Interventions. NeurIPS 2020 - [c94]Wen Huang, Yongkai Wu, Xintao Wu:
Multi-cause Discrimination Analysis Using Potential Outcomes. SBP-BRiMS 2020: 224-234 - [c93]Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness through Equality of Effort. WWW (Companion Volume) 2020: 743-751 - [e1]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
IEEE International Conference on Big Data, Big Data 2020, Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents] - [i26]Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR abs/2003.03699 (2020) - [i25]Shuhan Yuan, Xintao Wu:
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities. CoRR abs/2005.12433 (2020) - [i24]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020) - [i23]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil Heffernan:
Achieving User-Side Fairness in Contextual Bandits. CoRR abs/2010.12102 (2020)
2010 – 2019
- 2019
- [j34]Lu Zhang, Qiuping Pan, Yue Wang, Xintao Wu, Xinghua Shi:
Bayesian Network Construction and Genotype-Phenotype Inference Using GWAS Statistics. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 475-489 (2019) - [j33]Lu Zhang, Yongkai Wu, Xintao Wu:
Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms. IEEE Trans. Knowl. Data Eng. 31(11): 2035-2050 (2019) - [c92]Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. AAAI 2019: 1278-1285 - [c91]Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. AAAI 2019: 1286-1293 - [c90]Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. IEEE BigData 2019: 1343-1350 - [c89]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData 2019: 1401-1406 - [c88]Yebo Feng, Jun Li, Lei Jiao, Xintao Wu:
BotFlowMon: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows. CNS 2019: 169-177 - [c87]Yongkai Wu, Lu Zhang, Xintao Wu:
Counterfactual Fairness: Unidentification, Bound and Algorithm. IJCAI 2019: 1438-1444 - [c86]Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu:
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI 2019: 1452-1458 - [c85]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. IJCAI 2019: 4753-4759 - [c84]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019: 3399-3409 - [c83]Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan:
Dynamic Anomaly Detection Using Vector Autoregressive Model. PAKDD (1) 2019: 600-611 - [c82]Xucan Chen, Mohammad Al Hasan, Xintao Wu, Pavel Skums, Mohammad Javad Feizollahi, Marie Ouellet, Eric L. Sevigny, David Maimon, Yubao Wu:
Characteristics of Bitcoin Transactions on Cryptomarkets. SpaCCS 2019: 261-276 - [c81]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) 2019: 594-599 - [c80]Yongkai Wu, Lu Zhang, Xintao Wu:
On Convexity and Bounds of Fairness-aware Classification. WWW 2019: 3356-3362 - [i22]NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai:
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness. CoRR abs/1906.01444 (2019) - [i21]Shuhan Yuan, Panpan Zheng, Xintao Wu, Qinghua Li:
Insider Threat Detection via Hierarchical Neural Temporal Point Processes. CoRR abs/1910.03171 (2019) - [i20]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. CoRR abs/1910.12586 (2019) - [i19]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR abs/1911.04587 (2019) - [i18]Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process. CoRR abs/1911.04620 (2019) - [i17]Wen Huang, Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness through Equality of Effort. CoRR abs/1911.08292 (2019) - 2018
- [j32]Shuhan Yuan, Xintao Wu, Yang Xiang:
Task-specific word identification from short texts using a convolutional neural network. Intell. Data Anal. 22(3): 533-550 (2018) - [j31]Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu:
On spectral analysis of directed signed graphs. Int. J. Data Sci. Anal. 6(2): 147-162 (2018) - [j30]Shuhan Yuan, Xintao Wu, Yang Xiang:
Incorporating pre-training in long short-term memory networks for tweet classification. Soc. Netw. Anal. Min. 8(1): 52:1-52:16 (2018) - [c79]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData 2018: 570-575 - [c78]Lu Zhang, Yongkai Wu, Xintao Wu:
Achieving Non-Discrimination in Prediction. IJCAI 2018: 3097-3103 - [c77]Yongkai Wu, Lu Zhang, Xintao Wu:
On Discrimination Discovery and Removal in Ranked Data using Causal Graph. KDD 2018: 2536-2544 - [c76]Depeng Xu, Shuhan Yuan, Xintao Wu, HaiNhat Phan:
DPNE: Differentially Private Network Embedding. PAKDD (2) 2018: 235-246 - [i16]Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
One-Class Adversarial Nets for Fraud Detection. CoRR abs/1803.01798 (2018) - [i15]Yongkai Wu, Lu Zhang, Xintao Wu:
On Discrimination Discovery and Removal in Ranked Data using Causal Graph. CoRR abs/1803.01901 (2018) - [i14]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR abs/1805.11202 (2018) - [i13]Panpan Zheng, Shuhan Yuan, Xintao Wu:
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. CoRR abs/1809.04683 (2018) - [i12]Yongkai Wu, Lu Zhang, Xintao Wu:
Fairness-aware Classification: Criterion, Convexity, and Bounds. CoRR abs/1809.04737 (2018) - 2017
- [j29]Lu Zhang, Xintao Wu:
Anti-discrimination learning: a causal modeling-based framework. Int. J. Data Sci. Anal. 4(1): 1-16 (2017) - [j28]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving differential privacy in convolutional deep belief networks. Mach. Learn. 106(9-10): 1681-1704 (2017) - [j27]Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li:
On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure. IEEE Trans. Knowl. Data Eng. 29(7): 1480-1493 (2017) - [c75]Lu Zhang, Qiuping Pan, Xintao Wu:
Modeling SNP and quantitative trait association from GWAS catalog using CLG Bayesian network. BIBM 2017: 266-269 - [c74]Qiuping Pan, Lu Zhang, Xintao Wu:
STIP: An SNP-trait inference platform. BIBM 2017: 915-920 - [c73]Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
Spectrum-based Deep Neural Networks for Fraud Detection. CIKM 2017: 2419-2422 - [c72]Yuemeng Li, Xintao Wu, Aidong Lu:
On Spectral Analysis of Directed Signed Graphs. DSAA 2017: 539-548 - [c71]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. ICDM 2017: 385-394 - [c70]Lu Zhang, Yongkai Wu, Xintao Wu:
A Causal Framework for Discovering and Removing Direct and Indirect Discrimination. IJCAI 2017: 3929-3935 - [c69]Lu Zhang, Yongkai Wu, Xintao Wu:
Achieving Non-Discrimination in Data Release. KDD 2017: 1335-1344 - [c68]Depeng Xu, Shuhan Yuan, Xintao Wu:
Differential Privacy Preserving Causal Graph Discovery. PAC 2017: 60-71 - [c67]Srinidhi Katla, Depeng Xu, Yongkai Wu, Qiuping Pan, Xintao Wu:
DPWeka: Achieving Differential Privacy in WEKA. PAC 2017: 184-185 - [c66]Shuhan Yuan, Xintao Wu, Yang Xiang:
SNE: Signed Network Embedding. PAKDD (2) 2017: 183-195 - [c65]Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang:
Wikipedia Vandal Early Detection: From User Behavior to User Embedding. ECML/PKDD (1) 2017: 832-846 - [i11]Lu Zhang, Yongkai Wu, Xintao Wu:
Achieving non-discrimination in prediction. CoRR abs/1703.00060 (2017) - [i10]Shuhan Yuan, Xintao Wu, Yang Xiang:
SNE: Signed Network Embedding. CoRR abs/1703.04837 (2017) - [i9]Shuhan Yuan, Xintao Wu, Yang Xiang:
Task-specific Word Identification from Short Texts Using a Convolutional Neural Network. CoRR abs/1706.00884 (2017) - [i8]Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang:
Wikipedia Vandal Early Detection: from User Behavior to User Embedding. CoRR abs/1706.00887 (2017) - [i7]Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu:
Spectrum-based deep neural networks for fraud detection. CoRR abs/1706.00891 (2017) - [i6]NhatHai Phan, Xintao Wu, Dejing Dou:
Preserving Differential Privacy in Convolutional Deep Belief Networks. CoRR abs/1706.08839 (2017) - [i5]NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou:
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning. CoRR abs/1709.05750 (2017) - 2016
- [j26]Donghui Hu, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu, Xindong Wu:
On digital image trustworthiness. Appl. Soft Comput. 48: 240-253 (2016) - [c64]NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou:
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction. AAAI 2016: 1309-1316 - [c63]Yuemeng Li, Xintao Wu, Song Yang:
Social network dominance based on analysis of asymmetry. ASONAM 2016: 146-151 - [c62]Lu Zhang, Qiuping Pan, Xintao Wu, Xinghua Shi:
Building Bayesian networks from GWAS statistics based on Independence of Causal Influence. BIBM 2016: 529-532 - [c61]Yue Wang, Jia Wen, Xintao Wu, Xinghua Shi:
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics. BigCom 2016: 355-366 - [c60]Yongkai Wu, Xintao Wu:
Using Loglinear Model for Discrimination Discovery and Prevention. DSAA 2016: 110-119 - [c59]Donghui Hu, Fan Chen, Xintao Wu, Zhong-Qiu Zhao:
A Framework of Privacy Decision Recommendation for Image Sharing in Online Social Networks. DSC 2016: 243-251 - [c58]Yue Wang, Xintao Wu, Donghui Hu:
Using Randomized Response for Differential Privacy Preserving Data Collection. EDBT/ICDT Workshops 2016 - [c57]Shuhan Yuan, Xintao Wu, Yang Xiang:
A Two Phase Deep Learning Model for Identifying Discrimination from Tweets. EDBT 2016: 696-697 - [c56]Shuhan Yuan, Xintao Wu, Yang Xiang:
Incorporating Pre-Training in Long Short-Term Memory Networks for Tweets Classification. ICDM 2016: 1329-1334 - [c55]Lu Zhang, Yongkai Wu, Xintao Wu:
Situation Testing-Based Discrimination Discovery: A Causal Inference Approach. IJCAI 2016: 2718-2724 - [c54]Lu Zhang, Yongkai Wu, Xintao Wu:
On Discrimination Discovery Using Causal Networks. SBP-BRiMS 2016: 83-93 - [i4]Lu Zhang, Yongkai Wu, Xintao Wu:
Achieving non-discrimination in data release. CoRR abs/1611.07438 (2016) - [i3]Lu Zhang, Yongkai Wu, Xintao Wu:
A causal framework for discovering and removing direct and indirect discrimination. CoRR abs/1611.07509 (2016) - [i2]Yuemeng Li, Xintao Wu, Aidong Lu:
On Spectral Analysis of Directed Signed Graphs. CoRR abs/1612.08102 (2016) - 2015
- [j25]Kai Pan, Xintao Wu, Tao Xie:
Program-input generation for testing database applications using existing database states. Autom. Softw. Eng. 22(4): 439-473 (2015) - [j24]Donghui Hu, Bin Su, Shuli Zheng, Zhong-Qiu Zhao, Xintao Wu, Xindong Wu:
Security and privacy protocols for perceptual image hashing. Int. J. Sens. Networks 17(3): 146-162 (2015) - [j23]Feng Luo, Xintao Wu:
Guest Editorial for Special Section on BIBM 2013. IEEE ACM Trans. Comput. Biol. Bioinform. 12(2): 252-253 (2015) - [j22]Ju-Hua Hu, De-Chuan Zhan, Xintao Wu, Yuan Jiang, Zhi-Hua Zhou:
Pairwised Specific Distance Learning from Physical Linkages. ACM Trans. Knowl. Discov. Data 9(3): 20:1-20:27 (2015) - [c53]Xianlin Hu, Leting Wu, Aidong Lu, Xintao Wu:
Block-Organized Topology Visualization for Visual Exploration of Signed Networks. ICDM Workshops 2015: 652-659 - [c52]Yuemeng Li, Xintao Wu, Aidong Lu:
Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition. ICDM 2015: 847-852 - [c51]Yue Wang, Cheng Si, Xintao Wu:
Regression Model Fitting under Differential Privacy and Model Inversion Attack. IJCAI 2015: 1003-1009 - [c50]Zhilin Luo, Yue Wang, Xintao Wu, Wandong Cai, Ting Chen:
On Burst Detection and Prediction in Retweeting Sequence. PAKDD (1) 2015: 96-107 - 2014
- [j21]Kai Pan, Xintao Wu, Tao Xie:
Guided test generation for database applications via synthesized database interactions. ACM Trans. Softw. Eng. Methodol. 23(2): 12:1-12:27 (2014) - [c49]Leting Wu, Xintao Wu, Aidong Lu, Yuemeng Li:
On Spectral Analysis of Signed and Dispute Graphs. ICDM 2014: 1049-1054 - 2013
- [j20]Xianlin Hu, Aidong Lu, Xintao Wu:
Spectrum-Based Network Visualization for Topology Analysis. IEEE Computer Graphics and Applications 33(1): 58-68 (2013) - [j19]Leting Wu, Xintao Wu, Aidong Lu, Zhi-Hua Zhou:
A spectral approach to detecting subtle anomalies in graphs. J. Intell. Inf. Syst. 41(2): 313-337 (2013) - [j18]Yue Wang, Xintao Wu, Jun Zhu, Yang Xiang:
On learning cluster coefficient of private networks. Soc. Netw. Anal. Min. 3(4): 925-938 (2013) - [j17]Yue Wang, Xintao Wu:
Preserving Differential Privacy in Degree-Correlation based Graph Generation. Trans. Data Priv. 6(2): 127-145 (2013) - [c48]Yue Wang, Xintao Wu, Xinghua Shi:
Using aggregate human genome data for individual identification. BIBM 2013: 410-415 - [c47]Kai Pan, Xintao Wu, Tao Xie:
Automatic test generation for mutation testing on database applications. AST 2013: 111-117 - [c46]Yue Wang, Xintao Wu, Leting Wu:
Differential Privacy Preserving Spectral Graph Analysis. PAKDD (2) 2013: 329-340 - [c45]Xiaowei Ying, Xintao Wu, Yue Wang:
On Linear Refinement of Differential Privacy-Preserving Query Answering. PAKDD (2) 2013: 353-364 - 2012
- [j16]Leting Wu, Xiaowei Ying, Xintao Wu, Aidong Lu, Zhi-Hua Zhou:
Examining spectral space of complex networks with positive and negative links. Int. J. Soc. Netw. Min. 1(1): 91-111 (2012) - [c44]Zhilin Luo, Xintao Wu, Wandong Cai, Dong Peng:
Examining Multi-factor Interactions in Microblogging Based on Log-linear Modeling. ASONAM 2012: 189-193 - [c43]Yue Wang, Xintao Wu, Jun Zhu, Yang Xiang:
On Learning Cluster Coefficient of Private Networks. ASONAM 2012: 395-402 - [c42]Zhilin Luo, Yue Wang, Xintao Wu:
Predicting Retweeting Behavior Based on Autoregressive Moving Average Model. WISE 2012: 777-782 - [i1]Yongge Wang, Xintao Wu:
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation. CoRR abs/1207.5466 (2012) - 2011
- [j15]Ling Guo, Xiaowei Ying, Xintao Wu:
Limiting Attribute Disclosure in Randomization Based Microdata Release. J. Comput. Sci. Eng. 5(3): 169-182 (2011) - [j14]Xiaowei Ying, Xintao Wu:
On link privacy in randomizing social networks. Knowl. Inf. Syst. 28(3): 645-663 (2011) - [j13]Xiaowei Ying, Leting Wu, Xintao Wu:
A Spectrum-Based Framework for Quantifying Randomness of Social Networks. IEEE Trans. Knowl. Data Eng. 23(12): 1842-1856 (2011) - [c41]Xiaowei Ying, Xintao Wu, Daniel Barbará:
Spectrum based fraud detection in social networks. ICDE 2011: 912-923 - [c40]Leting Wu, Xiaowei Ying, Xintao Wu, Zhi-Hua Zhou:
Line Orthogonality in Adjacency Eigenspace with Application to Community Partition. IJCAI 2011: 2349-2354 - [c39]Kai Pan, Xintao Wu<