Sihong Xie

Preprints
Conferences
ICLR 2023
UAI 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs
Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li.
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.
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
BigData 2022
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.
ICDM 2021
Multi-objective Explanations of GNN Predictions
Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, and Sihong Xie
[bib] [paper] [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
BigData 2018
Securing Behavior-based Opinion Spam Detection
Shuaijun Ge, Guixiang Ma, Sihong Xie, and Philip S. Yu
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
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
CIC 2018
AAAI 2018
BigData 2017
ECML 2017
IJCAI 2017
SEVEN: Deep Semi-supervised Verification Networks
Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie and Philip S. Yu
BigData 2016
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
BigData 2016
CIKM 2016
Multi-source Hierarchical Prediction Consolidation
Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan and Philip S. Yu
CIKM 2016
Active Zero-shot Learning
Sihong Xie, Shaoxiong Wang, and Philip S. Yu
IJCAI 2016
Item Recommendation for Emerging Online Businesses
Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He and Philip S. Yu
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
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.
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
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
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
DSAA 2015
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
SDM 2015
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks
Xiaokai Wei, Sihong Xie, Philip S. Yu
SDM 2015
OnlineCM: Real-time Consensus Classification with Missing Values
Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu
SDM 2015
Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks
Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu
KDD 2014
WSDM 2014
Inferring the Impacts of Social Media on Crowdfunding
Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
SDM 2013
Future Influence Ranking of Scientific Literature
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
ICDM 2013
KDD 2012
Review Spam Detection via Temporal Pattern Discovery
Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
SDM 2012
ICDM 2011
Review Graph Based Online Store Review Spammer Detection
Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
ECML/PKDD 2010
Efficient and Numerically Stable Sparse Learning
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren
WWW 2009
Latent Space Domain Transfer between High Dimensional Overlapping Distributions
Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
ICDM 2008
Graph-based Iterative Hybrid Feature Selection
Erheng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang
Journals
TKDE 2018
Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang and Philip S. Yu
JDSA 2016
Sihong Xie and Philip S. Yu
TIST 2016
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, and Yueying He
TIST 2012
Guan Wang, Sihong Xie, Bing Liu, and Philip S. Yu