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2020 – today
- 2024
[i33]Ainara Garcia, Sihong Xie, Arielle Carr:
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. CoRR abs/2402.15941 (2024)- [i32]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR abs/2403.06425 (2024) - [i31]Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong Xie:
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model. CoRR abs/2403.15025 (2024) - [i30]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 abs/2404.01217 (2024) - [i29]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 abs/2404.14642 (2024) - [i28]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 abs/2404.18279 (2024) - 2023
- [j10]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): 12736-12749 (2023) - [c62]Yazheng Liu, Xi Zhang, Sihong Xie:
A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR 2023 - [c61]Ainara Garcia, Sihong Xie, Arielle Carr:
Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. ICMLA 2023: 1759-1764 - [c60]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: 1-9 - [c59]Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li:
Optimal Budget Allocation for Crowdsourcing Labels for Graphs. UAI 2023: 1154-1163 - [i27]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 abs/2306.02137 (2023) - [i26]Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2307.04024 (2023) - [i25]Rongsheng Wang, Qi Li, Sihong Xie:
DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions. CoRR abs/2310.14479 (2023) - 2022
- [c58]Sean Wang, Arielle Carr, Sihong Xie:
A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning. BDCAT 2022: 242-247 - [c57]Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient Multiple Objective Optimization for Fair Misinformation Detection. IEEE Big Data 2022: 16-25 - [c56]Yazheng Liu, Xi Zhang, Sihong Xie:
Trade less Accuracy for Fairness and Trade-off Explanation for GNN. IEEE Big Data 2022: 4681-4690 - [c55]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: 4854-4855 - [i24]Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang:
Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. CoRR abs/2201.05819 (2022) - [i23]Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie:
Subgroup Fairness in Graph-based Spam Detection. CoRR abs/2204.11164 (2022) - [i22]Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie:
Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection. CoRR abs/2209.07245 (2022) - [i21]Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie:
Robust Ranking Explanations. CoRR abs/2212.14106 (2022) - 2021
- [j9]Tao Wang, Yuzhi Chen, Jin Yu, Sihong Xie:
Formation Mechanisms and Clustering Differences in Risky Riding Behaviors of Electric Bike Riders. IEEE Access 9: 119712-119721 (2021) - [c54]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: 130-139 - [c53]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. ICDM 2021: 409-418 - [c52]Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li:
Truth Discovery in Sequence Labels from Crowds. ICDM 2021: 539-548 - [c51]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. ICDM 2021: 1018-1023 - [c50]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: 2017-2025 - [c49]Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao:
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD 2021: 4143-4144 - [i20]Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li:
Truth Discovery in Sequence Labels from Crowds. CoRR abs/2109.04470 (2021) - [i19]Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. CoRR abs/2109.07371 (2021) - [i18]Yazheng Liu, Xi Zhang, Sihong Xie:
Explaining GNN over Evolving Graphs using Information Flow. CoRR abs/2111.10037 (2021) - [i17]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Multi-objective Explanations of GNN Predictions. CoRR abs/2111.14651 (2021) - 2020
- [c48]Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie:
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. CIKM 2020: 945-954 - [c47]Shengli Zhu, Jakob Coles, Sihong Xie:
Active Search using Meta-Bandits. CIKM 2020: 3493-3496 - [c46]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. KDD 2020: 924-933 - [i16]Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie:
Rigorous Explanation of Inference on Probabilistic Graphical Models. CoRR abs/2004.10066 (2020) - [i15]Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie:
Robust Spammer Detection by Nash Reinforcement Learning. CoRR abs/2006.06069 (2020)
2010 – 2019
- 2019
- [j8]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): 1341-1354 (2019) - [c45]Youshan Zhang, Sihong Xie, Brian D. Davison:
Transductive Learning Via Improved Geodesic Sampling. BMVC 2019: 122 - [c44]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: 11-20 - [c43]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu:
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO 2019: 1-5 - [c42]Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie:
Scalable Explanation of Inferences on Large Graphs. ICDM 2019: 982-987 - [i14]Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie:
Scalable Explanation of Inferences on Large Graphs. CoRR abs/1908.06482 (2019) - 2018
- [c41]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI 2018: 6013-6020 - [c40]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: 56-64 - [c39]Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu:
Securing Behavior-based Opinion Spam Detection. IEEE BigData 2018: 112-117 - [c38]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: 911-920 - [c37]Sihong Xie, Philip S. Yu:
Next Generation Trustworthy Fraud Detection. CIC 2018: 279-282 - [i13]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. CoRR abs/1805.07037 (2018) - [i12]Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu:
Securing Behavior-based Opinion Spam Detection. CoRR abs/1811.03739 (2018) - [i11]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR abs/1811.04480 (2018) - 2017
- [j7]Sihong Xie, Philip S. Yu:
Active zero-shot learning: a novel approach to extreme multi-labeled classification. Int. J. Data Sci. Anal. 3(3): 151-160 (2017) - [j6]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): 68-71 (2017) - [j5]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): 3-10 (2017) - [c36]Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang:
Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA 2017: 209-224 - [c35]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Product function need recognition via semi-supervised attention network. IEEE BigData 2017: 1369-1374 - [c34]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. IJCAI 2017: 2571-2577 - [c33]Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu:
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) 2017: 272-287 - [i10]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. CoRR abs/1706.03692 (2017) - [i9]Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu:
IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR abs/1709.01773 (2017) - [i8]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR abs/1712.02016 (2017) - [i7]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
Product Function Need Recognition via Semi-supervised Attention Network. CoRR abs/1712.02186 (2017) - 2016
- [j4]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
Clustering Embedded Approaches for Efficient Information Network Inference. Data Sci. Eng. 1(1): 29-40 (2016) - [j3]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): 64:1-64:28 (2016) - [c32]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: 96-105 - [c31]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData 2016: 793-802 - [c30]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: 803-812 - [c29]Sihong Xie, Shaoxiong Wang, Philip S. Yu:
Active Zero-Shot Learning. CIKM 2016: 1889-1892 - [c28]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CIKM 2016: 2251-2256 - [c27]Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu:
Item Recommendation for Emerging Online Businesses. IJCAI 2016: 3797-3803 - [c26]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: 36-44 - [c25]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: 648-656 - [c24]Guoqiong Liao, Xiaoting Yang, Sihong Xie, Philip S. Yu, Changxuan Wan:
Two-Phase Mining for Frequent Closed Episodes. WAIM (1) 2016: 55-66 - [c23]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: 41-50 - [i6]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CoRR abs/1608.03344 (2016) - [i5]Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu:
CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR abs/1612.01039 (2016) - 2015
- [j2]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: 215-226 (2015) - [c22]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: 815-820 - [c21]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: 603-612 - [c20]Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu:
An effective and economic bi-level approach to ranking and rating spam detection. DSAA 2015: 1-10 - [c19]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: 1-10 - [c18]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
CENI: A Hybrid Framework for Efficiently Inferring Information Networks. ICWSM 2015: 618-621 - [c17]Xiaokai Wei, Sihong Xie, Philip S. Yu:
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. SDM 2015: 82-90 - [c16]Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu:
Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. SDM 2015: 442-450 - [c15]Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu:
OnlineCM: Real-time Consensus Classification with Missing Values. SDM 2015: 685-693 - [i4]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
CENI: a Hybrid Framework for Efficiently Inferring Information Networks. CoRR abs/1503.04927 (2015) - 2014
- [c14]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: 303-312 - [c13]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: 137-145 - [c12]Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu:
Future Influence Ranking of Scientific Literature. SDM 2014: 749-757 - [c11]Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu:
Inferring the impacts of social media on crowdfunding. WSDM 2014: 573-582 - [i3]Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu:
Future Influence Ranking of Scientific Literature. CoRR abs/1407.1772 (2014) - 2013
- [c10]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: 1655-1660 - [c9]Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu:
Multilabel Consensus Classification. ICDM 2013: 1241-1246 - [i2]Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu:
Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. CoRR abs/1308.1118 (2013) - [i1]Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu:
Multilabel Consensus Classification. CoRR abs/1310.4252 (2013) - 2012
- [j1]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): 61:1-61:21 (2012) - [c8]Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu:
Relevance search in heterogeneous networks. EDBT 2012: 180-191 - [c7]Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu:
Review spam detection via temporal pattern discovery. KDD 2012: 823-831 - [c6]Sihong Xie, Wei Fan, Philip S. Yu:
An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. SDM 2012: 1107-1118 - [c5]Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu:
Review spam detection via time series pattern discovery. WWW (Companion Volume) 2012: 635-636 - 2011
- [c4]Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu:
Review Graph Based Online Store Review Spammer Detection. ICDM 2011: 1242-1247 - 2010
- [c3]Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren:
Efficient and Numerically Stable Sparse Learning. ECML/PKDD (3) 2010: 483-498
2000 – 2009
- 2009
- [c2]Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren:
Latent space domain transfer between high dimensional overlapping distributions. WWW 2009: 91-100 - 2008
- [c1]ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang:
Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138
Coauthor Index
[i29] [j10] [c60] [i27] [c55] [c49] [c46] [i15] [j8] [c44] [c43] [c41] [c40] [c39] [c38] [c37] [i13] [i12] [i11] [j7] [j5] [c36] [c35] [c34] [c33] [i10] [i9] [i8] [i7] [j4] [j3] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [i6] [i5] [j2] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [i4] [c14] [c13] [c12] [c11] [i3] [c10] [c9] [i2] [i1] [j1] [c8] [c7] [c6] [c5] [c4]
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