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Xintao Wu
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2020 – today
- 2022
- [j40]Alycia N. Carey
, Xintao Wu:
The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences. Frontiers Big Data 5: 892837 (2022) - [j39]Jie Wang, Xintao Wu
, Gang Hou, Pengfei Li, Ao Gao, Zhichao Chen, Haoyu Gao:
Modeling and reliability verification of industrial control network protocol based on time state transition matrix. Int. J. Commun. Syst. 35(9) (2022) - [c118]Wen Huang, Lu Zhang, Xintao Wu:
Achieving Counterfactual Fairness for Causal Bandit. AAAI 2022: 6952-6959 - [c117]Minh-Hao Van
, Wei Du
, Xintao Wu
, Aidong Lu
:
Poisoning Attacks on Fair Machine Learning. DASFAA (1) 2022: 370-386 - [c116]M. S. Vinay
, Shuhan Yuan
, Xintao Wu
:
Contrastive Learning for Insider Threat Detection. DASFAA (1) 2022: 395-403 - [c115]Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu:
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM 2022: 963-968 - [c114]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD 2022: 2565-2575 - [c113]Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs:
1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). KDD 2022: 4914-4915 - [c112]Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu:
Coded Hate Speech Detection via Contextual Information. PAKDD (1) 2022: 93-105 - [i40]Alycia N. Carey, Xintao Wu:
The Fairness Field Guide: Perspectives from Social and Formal Sciences. CoRR abs/2201.05216 (2022) - [i39]Phung Lai, NhatHai Phan, Abdallah Khreishah, Issa Khalil, Xintao Wu:
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning. CoRR abs/2201.07063 (2022) - [i38]Shuhan Yuan, Xintao Wu:
Trustworthy Anomaly Detection: A Survey. CoRR abs/2202.07787 (2022) - [i37]Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen:
Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR abs/2205.11264 (2022) - [i36]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR abs/2210.04145 (2022) - [i35]Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu:
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. CoRR abs/2211.05766 (2022) - 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) - [c111]Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu:
A Generative Adversarial Framework for Bounding Confounded Causal Effects. AAAI 2021: 12104-12112 - [c110]Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee:
Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT. AIED (1) 2021: 408-419 - [c109]Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu:
Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. IEEE BigData 2021: 581-589 - [c108]Wen Huang, Kevin Labille, Xintao Wu, Dongwon Lee, Neil T. Heffernan:
Fairness-aware Bandit-based Recommendation. IEEE BigData 2021: 1273-1278 - [c107]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData 2021: 5474-5483 - [c106]Wei Du, Xintao Wu:
Fair and Robust Classification Under Sample Selection Bias. CIKM 2021: 2999-3003 - [c105]Jie Wang
, Zhichao Chen
, Gang Hou, Haoyu Gao, Pengfei Li, Ao Gao, Xintao Wu:
A Modeling and Verification Method of Modbus TCP/IP Protocol. ICA3PP (3) 2021: 527-539 - [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 T. 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 T. 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:
2020 IEEE International Conference on Big Data (IEEE BigData 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 T. 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
, NhatHai 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]