Sihong Xie's Publications

Publications

Preprints


Survey 2024	Uncertainty Quantification on Graph Learning: A Survey Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip Yu arxiv.org[paper]
Survey 2024	Out-of-distribution Detection in Medical Image Analysis: A survey Zesheng Hong, Yubiao Yue, Yubin Chen, Huanjie Lin, Yuanmei Luo, Mini Han Wang, Weidong Wang, Jialong Xu, Xiaoqi Yang, Zhenzhang Li, Sihong Xie arxiv.org[paper]

Conferences


NeurIPS 2024	Training for Stable Explanation for Free. Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi, Zhang, and Sihong Xie* [bib] [paper]
NeurIPS 2024	Linear Uncertainty Quantification of Graphical Model Inference. Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, and Xi Zhang [bib] [paper]
NeurIPS 2024	Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. Yuefei Lyu, Sihong Xie, Chaozhuo Li, Xi Zhang* [bib] [paper]
ICDM 2024	Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Chang-Dong Wang, Sihong Xie, Shuangyin Liu, Min Chen, and Mohsen Guizani [bib] [paper]
AAAI 2024	Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam AI4TS Workshop: AI for Time Series Analysis [bib] [paper]
KDD 2023	Reaction-Diffusion Graph Ordinary Differential Equation Networks: Traffic-Law-Informed Speed Prediction under Mismatched Data Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum and Parv Venkitasubramaniam The 12th International Workshop on Urban Computing [bib] [paper]
KDD 2023	Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection Sihong Xie Jiaxin Liu, Yuefei Lyu, Xi Zhang 2nd ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications [bib] [paper]
ICLR 2023	A Differential Geometric View and Explainability of GNN on Evolving Graphs Yazheng Liu, Xi Zhang, and Sihong Xie [bib] [paper]
UAI 2023	Optimal Budget Allocation for Crowdsourcing Labels for Graphs Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li. [bib] [paper coming soon]
TKDE 2023	Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, and Philip S. Yu. [bib] [paper coming soon]
IJCNN 2023	Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection Yuefei Lv, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, and Xi Zhang [bib] [paper]
BigData 2022	Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, and Sihong Xie [bib] [paper]
BigData 2022	Trade less Accuracy for Fairness and Trade-off Explanation for GNN. Yazheng, Xi Zhang, and Sihong Xie Second International Workshop on Data science for equality, inclusion and well-being challenges. [bib] [paper]
ICDM 2021	Multi-objective Explanations of GNN Predictions Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, and Sihong Xie [bib] [paper] [codes] [video] [news] (regular paper, acceptance rate 10%=98/990) Best-ranked papers selected for publication in KAIS journal
ICDM 2021	Self-learn to Explain Siamese Networks Robustly Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, and Sihong Xie [bib] [paper] [video] (short paper, acceptance rate 20%=198/990)
ICDM 2021	Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, and Qi Li [bib] [paper] (regular paper, acceptance rate 10%=98/990) Best-ranked papers selected for publication in KAIS journal
CIKM 2021	Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection Kai Burkholder, Kenny Kwock, Sheldon Xu, Jiaxin Liu, Chao Chen, and Sihong Xie [bib] [paper] [video] [news1] [news2] (full paper, acceptance rate 21.7%=271/1251)
KDD 2021	Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks Hang Yin, John Lee, Xiangnan Kong, Thomas Hartvigsen, and Sihong Xie [bib] [paper] (full paper, acceptance rate 15.5%=238/1541)
CIKM 2020	Active Search using Meta-Bandits Shengli Zhu, Jakob Coles, and Sihong Xie [paper] [bib] [video] (poster paper, acceptance rate 37%=60/161)
CIKM 2020	Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, and Sihong Xie [paper] [bib] (full research paper, acceptance rate 20%=193/920)
KDD 2020	Robust Spammer Detection by Nash Reinforcement Learning Yingtong Dou, Guixiang Ma, Philip S. Yu, and Sihong Xie [paper] [slides] [bib] [codes] [promotion video] [workshop video] (acceptance rate 16.9%=216/1279)
ICDM 2019	Scalable Explanation of Inferences on Large Graphs Chao Chen, Yifei Liu, Xi Zhang, and Sihong Xie [paper] [slides] [bib] (acceptance rate 18.5%)
BMVC 2019	Transductive Learning via Improved Geodesic Sampling Youshan Zhang, Sihong Xie, and Brian D. Davison [paper] [bib]
BigData 2018	Securing Behavior-based Opinion Spam Detection Shuaijun Ge, Guixiang Ma, Sihong Xie, and Philip S. Yu [paper] [bib] [slides] [source codes]
BigData 2018	PER: A Probabilistic Attentional Model for Personalized Text Recommendations Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, and Philip S. Yu [paper] [bib]
BigData 2018	Semi-supervised Deep Representation Learning for Multi-View Problems Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, and Philip S. Yu [paper] [bib]
CIC 2018	Next Generation Trustworthy Fraud Detection Sihong Xie and Philip S. Yu [paper] [slides] [bib]
AAAI 2018	Dual Attention Network for Product Compatibility Analysis Hu Xu, Lei Shu, Sihong Xie, Philip S. Yu [paper] [bib] [slides]
BigData 2017	Product Function Need Recognition via Semi-supervised Attention Network Hu Xu, Lei Shu, Sihong Xie, Philip S. Yu [paper] [bib]
ECML 2017	Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-links Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu [paper] [bib]
IJCAI 2017	SEVEN: Deep Semi-supervised Verification Networks Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie and Philip S. Yu [paper] [bib]
BigData 2016	Interpretable and Effective Opinion Spam Detection via Temporal Patterns Mining across Websites Yuan Yuan, Sihong Xie, Chun-Ta Lu, Philip S. Yu, and Jie Tang [paper] [bib]
BigData 2016	HEER: Heterogeneous Graph Embedding for Emerging Relation Detection from News Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, and Philip S. Yu [paper] [bib]
BigData 2016	CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews Hu Xu, Sihong Xie, Lei Shu, and Philip S. Yu [paper] [bib]
CIKM 2016	Multi-source Hierarchical Prediction Consolidation Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan and Philip S. Yu [paper] [poster]
CIKM 2016	Active Zero-shot Learning Sihong Xie, Shaoxiong Wang, and Philip S. Yu [paper] [poster]
IJCAI 2016	Item Recommendation for Emerging Online Businesses Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He and Philip S. Yu [paper]
SDM 2016	Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, and Philip S. Yu [paper] [slides] [data and codes]
SDM 2016	Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, and Ann B. Ragin. [paper] [bib]
WWW 2016	HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, and Philip S. Yu [paper]
BigData 2015	Robust Crowd Bias Correction via Dual Knowledge Transfer from Multiple Overlapping Sources Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu [paper] [bib]
DSAA 2015	A Context-Aware Approach to Detection of Short Irrelevant Texts Sihong Xie, Jing Wang, Mohammad S.Amin, Baoshi Yan, Anmol Bhasin, Clement Yu, Philip S. Yu [paper] [bib] [US patent]
DSAA 2015	An Effective and Economic Bi-level Approach to Ranking and Rating Spam Detection Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu [paper] [bib]
CIKM 2015	Learning Entity Types from Query Logs via Graph-Based Modeling Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu [paper] [bib]
SDM 2015	Efficient Partial Order Preserving Unsupervised Feature Selection on Networks Xiaokai Wei, Sihong Xie, Philip S. Yu [paper]
SDM 2015	OnlineCM: Real-time Consensus Classification with Missing Values Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu [paper] [bib]
SDM 2015	Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu [paper]
KDD 2014	Class-Distribution Regularized Consensus Maximization for Alleviating Overfitting in Model Combination Sihong Xie, Jing Gao, Deepak Turaga, Wei Fan, Philip S. Yu [paper] [slides] [bib]
WSDM 2014	Inferring the Impacts of Social Media on Crowdfunding Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu [paper] [bib]
SDM 2013	Future Influence Ranking of Scientific Literature Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu [paper] [bib]
ICDM 2013	Multilabel Consensus Classification Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu [paper] [slides] [bib]
KDD 2012	Review Spam Detection via Temporal Pattern Discovery Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu [paper] [bib]
SDM 2012	An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing Sihong Xie, Wei Fan, Philip S. Yu [paper] [bib]
ICDM 2011	Review Graph Based Online Store Review Spammer Detection Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu [paper] [bib]
ECML/PKDD 2010	Efficient and Numerically Stable Sparse Learning Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren [paper] [bib]
WWW 2009	Latent Space Domain Transfer between High Dimensional Overlapping Distributions Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren [paper] [bib]
ICDM 2008	Graph-based Iterative Hybrid Feature Selection Erheng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang [paper] [bib]

Journals

TKDE 2018	IAD: Interaction-Aware Diffusion Framework in Social Networks Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang and Philip S. Yu
JDSA 2016	Active Zero-Shot Learning: A novel approach to extreme multi-labeled classification [paper] [bib] Sihong Xie and Philip S. Yu
TIST 2016	Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement [paper] [bib] Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, and Yueying He
TIST 2012	Identify Online Store Review Spammers via Social Review Graph [paper] [bib] Guan Wang, Sihong Xie, Bing Liu, and Philip S. Yu