Sihong Xie

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 77

Top Venues

Publications

Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam
Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy. CoRR (2024)
Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong Xie
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model. CoRR (2024)
Ainara Garcia, Sihong Xie, Arielle Carr
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. CoRR (2024)
Zesheng Hong, Yubiao Yue, Yubin Chen, Huanjie Lin, Yuanmei Luo, Mini Han Wang, Weidong Wang, Jialong Xu, Xiaoqi Yang, Zhenzhang Li, Sihong Xie
Out-of-distribution Detection in Medical Image Analysis: A survey. CoRR (2024)
Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu
Uncertainty Quantification on Graph Learning: A Survey. CoRR (2024)
Yazheng Liu, Xi Zhang, Sihong Xie
A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR (2024)
Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2023)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR (2023)
Ainara Garcia, Sihong Xie, Arielle Carr
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. ICMLA (2023)
Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Rongsheng Wang, Qi Li, Sihong Xie
DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions. CoRR (2023)
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN (2023)
Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
Optimal Budget Allocation for Crowdsourcing Labels for Graphs. UAI (2023)
Yazheng Liu, Xi Zhang, Sihong Xie
A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR (2023)
Yazheng Liu, Xi Zhang, Sihong Xie
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. Big Data (2022)
Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
Efficient Multiple Objective Optimization for Fair Misinformation Detection. Big Data (2022)
Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie
Robust Ranking Explanations. CoRR (2022)
Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection. CoRR (2022)
Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD (2022)
Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. CoRR (2022)
Sean Wang, Arielle Carr, Sihong Xie
A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning. BDCAT (2022)
Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie
Subgroup Fairness in Graph-based Spam Detection. CoRR (2022)
Yazheng Liu, Xi Zhang, Sihong Xie
Explaining GNN over Evolving Graphs using Information Flow. CoRR (2021)
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
Multi-objective Explanations of GNN Predictions. CoRR (2021)
Tao Wang, Yuzhi Chen, Jin Yu, Sihong Xie
Formation Mechanisms and Clustering Differences in Risky Riding Behaviors of Electric Bike Riders. IEEE Access 9 (2021)
Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD (2021)
Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie
Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. KDD (2021)
Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
Self-learn to Explain Siamese Networks Robustly. ICDM (2021)
Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie
Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. CIKM (2021)
Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
Truth Discovery in Sequence Labels from Crowds. CoRR (2021)
Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
Truth Discovery in Sequence Labels from Crowds. ICDM (2021)
Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
Self-learn to Explain Siamese Networks Robustly. CoRR (2021)
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
Multi-objective Explanations of GNN Predictions. ICDM (2021)
Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie
Rigorous Explanation of Inference on Probabilistic Graphical Models. CoRR (2020)
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. CIKM (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. CoRR (2020)
Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
Robust Spammer Detection by Nash Reinforcement Learning. KDD (2020)
Shengli Zhu, Jakob Coles, Sihong Xie
Active Search using Meta-Bandits. CIKM (2020)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO (2019)
Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
Scalable Explanation of Inferences on Large Graphs. ICDM (2019)
Youshan Zhang, Sihong Xie, Brian D. Davison
Transductive Learning Via Improved Geodesic Sampling. BMVC (2019)
Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
IAD: Interaction-Aware Diffusion Framework in Social Networks. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. DSAA (2019)
Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
Scalable Explanation of Inferences on Large Graphs. CoRR (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. CoRR (2018)
Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu
PER: A Probabilistic Attentional Model for Personalized Text Recommendations. IEEE BigData (2018)
Sihong Xie, Philip S. Yu
Next Generation Trustworthy Fraud Detection. CIC (2018)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI (2018)
Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
Securing Behavior-based Opinion Spam Detection. IEEE BigData (2018)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR (2018)
Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
Securing Behavior-based Opinion Spam Detection. CoRR (2018)
Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData (2018)
Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR (2017)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
Product Function Need Recognition via Semi-supervised Attention Network. CoRR (2017)
Feng Li, Sihong Xie
基于无监督学习的移动心电信号异常诊断研究 (Study on Abnormal Diagnosis of Moving ECG Signals Based on Unsupervised Learning). 计算机科学 44 (Z11) (2017)
Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) (2017)
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
SEVEN: Deep Semi-supervised Verification Networks. IJCAI (2017)
Sihong Xie, Philip S. Yu
Active zero-shot learning: a novel approach to extreme multi-labeled classification. Int. J. Data Sci. Anal. 3 (3) (2017)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR (2017)
Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Changxuan Wan, Dexi Liu
Probabilistic cleaning over trajectory events of mobile RFID objects. ACM SIGSPATIAL Special 9 (1) (2017)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
Product function need recognition via semi-supervised attention network. IEEE BigData (2017)
Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA (2017)
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
SEVEN: Deep Semi-supervised Verification Networks. CoRR (2017)
Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu
HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW (2016)
Sihong Xie, Shaoxiong Wang, Philip S. Yu
Active Zero-Shot Learning. CIKM (2016)
Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
Multi-source Hierarchical Prediction Consolidation. CIKM (2016)
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement. ACM Trans. Intell. Syst. Technol. 7 (4) (2016)
Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SDM (2016)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR (2016)
Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData (2016)
Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
Multi-source Hierarchical Prediction Consolidation. CoRR (2016)
Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu
Item Recommendation for Emerging Online Businesses. IJCAI (2016)
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
Clustering Embedded Approaches for Efficient Information Network Inference. Data Sci. Eng. 1 (1) (2016)
Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData (2016)
Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData (2016)
Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM (2016)
Guoqiong Liao, Xiaoting Yang, Sihong Xie, Philip S. Yu, Changxuan Wan
Two-Phase Mining for Frequent Closed Episodes. WAIM (1) (2016)
Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu
Learning Entity Types from Query Logs via Graph-Based Modeling. CIKM (2015)
Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu
Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. 325 (2015)
Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources. IEEE BigData (2015)
Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu
A context-aware approach to detection of short irrelevant texts. DSAA (2015)
Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu
Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. SDM (2015)
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
CENI: a Hybrid Framework for Efficiently Inferring Information Networks. CoRR (2015)
Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu
An effective and economic bi-level approach to ranking and rating spam detection. DSAA (2015)
Xiaokai Wei, Sihong Xie, Philip S. Yu
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. SDM (2015)
Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu
OnlineCM: Real-time Consensus Classification with Missing Values. SDM (2015)
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
CENI: A Hybrid Framework for Efficiently Inferring Information Networks. ICWSM (2015)
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
Future Influence Ranking of Scientific Literature. SDM (2014)
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
Future Influence Ranking of Scientific Literature. CoRR (2014)
Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu
Class-distribution regularized consensus maximization for alleviating overfitting in model combination. KDD (2014)
Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Zhen Shen, Changxuan Wan, Dexi Liu
Trajectory Event Cleaning for Mobile RFID Objects. MDM (1) (2014)
Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
Inferring the impacts of social media on crowdfunding. WSDM (2014)
Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
Multilabel Consensus Classification. ICDM (2013)
Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
An effective latent networks fusion based model for event recommendation in offline ephemeral social networks. CIKM (2013)
Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
Multilabel Consensus Classification. CoRR (2013)
Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. CoRR (2013)
Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. 3 (4) (2012)
Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
Review spam detection via temporal pattern discovery. KDD (2012)
Sihong Xie, Wei Fan, Philip S. Yu
An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. SDM (2012)
Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
Review spam detection via time series pattern discovery. WWW (Companion Volume) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sihong Xie