Sihong Xie - RankMe

125 papers A* 27A 19B 8C 3Journal 52Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GFM4GA: Graph Foundation Model for Group Anomaly Detection. CoRR Jiujiu Chen, Weijun Zeng, Shaofeng Hu, Sihong Xie, Hui Xiong
2026	J	`jnl`	RAG-3DSG: Enhancing 3D Scene Graphs with Re-Shot Guided Retrieval-Augmented Generation. CoRR Yue Chang, Rufeng Chen, Zhaofan Zhang, Yi Chen, Sihong Xie
2026	A*	`conf`	REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models. AAAI Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie
2025	A*	`conf`	Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. AAAI Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie
2025	A	`conf`	Budget Allocation Exploiting Label Correlation between Instances. UAI Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
2025	—	`conf`	CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. ACL (1) Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie
2025	J	`jnl`	CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. CoRR Xiaqiang Tang, Jian Li, Keyu Hu, Du Nan, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie
2025	A*	`conf`	Explanations of GNN on Evolving Graphs via Axiomatic Layer edges. ICLR Yazheng Liu, Sihong Xie
2025	J	`jnl`	Federated Conditional Conformal Prediction via Generative Models. CoRR Rui Xu, Xingyuan Chen, Wenxing Huang, Minxuan Huang, Yun Xie, Weiyan Chen, Sihong Xie
2025	B	`conf`	MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity. COLING Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie
2025	J	`jnl`	Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement Learning. CoRR Zhaofan Zhang, Minghao Yang, Sihong Xie, Hui Xiong
2025	J	`jnl`	SSFO: Self-Supervised Faithfulness Optimization for Retrieval-Augmented Generation. CoRR Xiaqiang Tang, Yi Wang, Keyu Hu, Rui Xu, Chuang Li, Weigao Sun, Jian Li, Sihong Xie
2025	A*	`conf`	Wasserstein-Regularized Conformal Prediction under General Distribution Shift. ICLR Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie
2025	J	`jnl`	Wasserstein-regularized Conformal Prediction under General Distribution Shift. CoRR Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie
2024	J	`jnl`	A Differential Geometric View and Explainability of GNN on Evolving Graphs. CoRR Yazheng Liu, Xi Zhang, Sihong Xie
2024	J	`jnl`	Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. CoRR Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie
2024	A*	`conf`	Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning. NeurIPS Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang
2024	J	`jnl`	Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. CoRR Ainara Garcia, Sihong Xie, Arielle Carr
2024	J	`jnl`	Incorporating Domain Differential Equations into Graph Convolutional Networks to Lower Generalization Discrepancy. CoRR Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam
2024	A*	`conf`	Linear Uncertainty Quantification of Graphical Model Inference. NeurIPS Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang
2024	J	`jnl`	MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity. CoRR Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie
2024	J	`jnl`	Out-of-distribution Detection in Medical Image Analysis: A survey. CoRR Zesheng Hong, Yubiao Yue, Yubin Chen, Huanjie Lin, Yuanmei Luo, Mini Han Wang, Weidong Wang, Jialong Xu, Xiaoqi Yang, Zhenzhang Li, Sihong Xie
2024	A*	`conf`	Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. ICDM Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Changdong Wang, Sihong Xie, Shuangyin Liu, Min Chen, Mohsen Guizani
2024	J	`jnl`	Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model. CoRR Rui Xu, Yue Sun, Chao Chen, Parv Venkitasubramaniam, Sihong Xie
2024	A*	`conf`	Training for Stable Explanation for Free. NeurIPS Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie
2024	J	`jnl`	Uncertainty Quantification on Graph Learning: A Survey. CoRR Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip S. Yu
2023	A*	`conf`	A Differential Geometric View and Explainability of GNN on Evolving Graphs. ICLR Yazheng Liu, Xi Zhang, Sihong Xie
2023	J	`jnl`	DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions. CoRR Rongsheng Wang, Qi Li, Sihong Xie
2023	C	`conf`	Implementing Recycling Methods for Linear Systems in Python with an Application to Multiple Objective Optimization. ICMLA Ainara Garcia, Sihong Xie, Arielle Carr
2023	J	`jnl`	Inconsistent Matters: A Knowledge-Guided Dual-Consistency Network for Multi-Modal Rumor Detection. IEEE Trans. Knowl. Data Eng. Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023	J	`jnl`	Inconsistent Matters: A Knowledge-guided Dual-consistency Network for Multi-modal Rumor Detection. CoRR Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu
2023	B	`conf`	Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. IJCNN Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang
2023	A	`conf`	Optimal Budget Allocation for Crowdsourcing Labels for Graphs. UAI Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li
2023	J	`jnl`	Robust Ranking Explanations. CoRR Chao Chen, Chenghua Guo, Guixiang Ma, Ming Zeng, Xi Zhang, Sihong Xie
2022	C	`conf`	A Predictor-Corrector Method for Multi-objective Optimization in Fair Machine Learning. BDCAT Sean Wang, Arielle Carr, Sihong Xie
2022	B	`conf`	Efficient Multiple Objective Optimization for Fair Misinformation Detection. IEEE Big Data Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
2022	J	`jnl`	Efficient first-order predictor-corrector multiple objective optimization for fair misinformation detection. CoRR Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie
2022	J	`jnl`	Interpretable and Effective Reinforcement Learning for Attacking against Graph-based Rumor Detection. CoRR Yuefei Lyu, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Xi Zhang
2022	A*	`conf`	Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng
2022	J	`jnl`	Robust Ranking Explanations. CoRR Chao Chen, Chenghua Guo, Guixiang Ma, Xi Zhang, Sihong Xie
2022	J	`jnl`	Subgroup Fairness in Graph-based Spam Detection. CoRR Jiaxin Liu, Yuefei Lyu, Xi Zhang, Sihong Xie
2022	B	`conf`	Trade less Accuracy for Fairness and Trade-off Explanation for GNN. IEEE Big Data Yazheng Liu, Xi Zhang, Sihong Xie
2021	A	`conf`	Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection. CIKM Kai Burkholder, Kenny Kwock, Yuesheng Xu, Jiaxin Liu, Chao Chen, Sihong Xie
2021	A*	`conf`	Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. KDD Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie
2021	J	`jnl`	Explaining GNN over Evolving Graphs using Information Flow. CoRR Yazheng Liu, Xi Zhang, Sihong Xie
2021	J	`jnl`	Formation Mechanisms and Clustering Differences in Risky Riding Behaviors of Electric Bike Riders. IEEE Access Tao Wang, Yuzhi Chen, Jin Yu, Sihong Xie
2021	A*	`conf`	Multi-objective Explanations of GNN Predictions. ICDM Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2021	J	`jnl`	Multi-objective Explanations of GNN Predictions. CoRR Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2021	A*	`conf`	Self-learn to Explain Siamese Networks Robustly. ICDM Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2021	J	`jnl`	Self-learn to Explain Siamese Networks Robustly. CoRR Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2021	A*	`conf`	The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao
2021	A*	`conf`	Truth Discovery in Sequence Labels from Crowds. ICDM Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
2021	J	`jnl`	Truth Discovery in Sequence Labels from Crowds. CoRR Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li
2020	A	`conf`	Active Search using Meta-Bandits. CIKM Shengli Zhu, Jakob Coles, Sihong Xie
2020	J	`jnl`	Rigorous Explanation of Inference on Probabilistic Graphical Models. CoRR Yifei Liu, Chao Chen, Xi Zhang, Sihong Xie
2020	A*	`conf`	Robust Spammer Detection by Nash Reinforcement Learning. KDD Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	J	`jnl`	Robust Spammer Detection by Nash Reinforcement Learning. CoRR Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie
2020	A	`conf`	Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference. CIKM Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie
2019	J	`jnl`	IAD: Interaction-Aware Diffusion Framework in Social Networks. IEEE Trans. Knowl. Data Eng. Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
2019	B	`conf`	MARS: Memory Attention-Aware Recommender System. DSAA Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2019	A*	`conf`	Scalable Explanation of Inferences on Large Graphs. ICDM Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
2019	J	`jnl`	Scalable Explanation of Inferences on Large Graphs. CoRR Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie
2019	A	`conf`	Transductive Learning Via Improved Geodesic Sampling. BMVC Youshan Zhang, Sihong Xie, Brian D. Davison
2019	—	`conf`	Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu
2018	A*	`conf`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2018	J	`jnl`	MARS: Memory Attention-Aware Recommender System. CoRR Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
2018	—	`conf`	Next Generation Trustworthy Fraud Detection. CIC Sihong Xie, Philip S. Yu
2018	—	`conf`	PER: A Probabilistic Attentional Model for Personalized Text Recommendations. IEEE BigData Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu
2018	—	`conf`	Securing Behavior-based Opinion Spam Detection. IEEE BigData Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	J	`jnl`	Securing Behavior-based Opinion Spam Detection. CoRR Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu
2018	—	`conf`	Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2018	J	`jnl`	Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu
2017	J	`jnl`	Active zero-shot learning: a novel approach to extreme multi-labeled classification. Int. J. Data Sci. Anal. Sihong Xie, Philip S. Yu
2017	J	`jnl`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	C	`conf`	Efficient Revenue Maximization for Viral Marketing in Social Networks. ADMA Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
2017	J	`jnl`	IAD: Interaction-Aware Diffusion Framework in Social Networks. CoRR Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu
2017	J	`jnl`	Probabilistic cleaning over trajectory events of mobile RFID objects. ACM SIGSPATIAL Special Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Changxuan Wan, Dexi Liu
2017	J	`jnl`	Product Function Need Recognition via Semi-supervised Attention Network. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Product function need recognition via semi-supervised attention network. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu
2017	A*	`conf`	SEVEN: Deep Semi-supervised Verification Networks. IJCAI Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2017	J	`jnl`	SEVEN: Deep Semi-supervised Verification Networks. CoRR Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu
2017	J	`jnl`	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 Feng Li, Sihong Xie
2016	A	`conf`	Active Zero-Shot Learning. CIKM Sihong Xie, Shaoxiong Wang, Philip S. Yu
2016	J	`jnl`	CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	—	`conf`	CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	J	`jnl`	Clustering Embedded Approaches for Efficient Information Network Inference. Data Sci. Eng. Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2016	J	`jnl`	Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement. ACM Trans. Intell. Syst. Technol. Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He
2016	A	`conf`	Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SDM Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2016	—	`conf`	HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
2016	A*	`conf`	HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer. WWW Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu
2016	A	`conf`	Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016	—	`conf`	Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
2016	A*	`conf`	Item Recommendation for Emerging Online Businesses. IJCAI Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu
2016	A	`conf`	Multi-source Hierarchical Prediction Consolidation. CIKM Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	J	`jnl`	Multi-source Hierarchical Prediction Consolidation. CoRR Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu
2016	—	`conf`	Two-Phase Mining for Frequent Closed Episodes. WAIM (1) Guoqiong Liao, Xiaoting Yang, Sihong Xie, Philip S. Yu, Changxuan Wan
2015	B	`conf`	A context-aware approach to detection of short irrelevant texts. DSAA Sihong Xie, Jing Wang, Mohammad Shafkat Amin, Baoshi Yan, Anmol Bhasin, Clement T. Yu, Philip S. Yu
2015	B	`conf`	An effective and economic bi-level approach to ranking and rating spam detection. DSAA Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu
2015	A	`conf`	CENI: A Hybrid Framework for Efficiently Inferring Information Networks. ICWSM Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015	J	`jnl`	CENI: a Hybrid Framework for Efficiently Inferring Information Networks. CoRR Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015	J	`jnl`	Constructing plausible innocuous pseudo queries to protect user query intention. Inf. Sci. Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li, Sihong Xie, Philip S. Yu
2015	A	`conf`	Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. SDM Xiaokai Wei, Sihong Xie, Philip S. Yu
2015	A	`conf`	Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks. SDM Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu
2015	A	`conf`	Learning Entity Types from Query Logs via Graph-Based Modeling. CIKM Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu
2015	A	`conf`	OnlineCM: Real-time Consensus Classification with Missing Values. SDM Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu
2015	—	`conf`	Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources. IEEE BigData Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu
2014	A*	`conf`	Class-distribution regularized consensus maximization for alleviating overfitting in model combination. KDD Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu
2014	A	`conf`	Future Influence Ranking of Scientific Literature. SDM Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014	J	`jnl`	Future Influence Ranking of Scientific Literature. CoRR Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014	A	`conf`	Inferring the impacts of social media on crowdfunding. WSDM Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
2014	—	`conf`	Trajectory Event Cleaning for Mobile RFID Objects. MDM (1) Guoqiong Liao, Philip S. Yu, Qianhui Zhong, Sihong Xie, Zhen Shen, Changxuan Wan, Dexi Liu
2013	A	`conf`	An effective latent networks fusion based model for event recommendation in offline ephemeral social networks. CIKM Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
2013	J	`jnl`	Latent Networks Fusion based Model for Event Recommendation in Offline Ephemeral Social Networks. CoRR Guoqiong Liao, Yuchen Zhao, Sihong Xie, Philip S. Yu
2013	A*	`conf`	Multilabel Consensus Classification. ICDM Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2013	J	`jnl`	Multilabel Consensus Classification. CoRR Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu
2012	A	`conf`	An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing. SDM Sihong Xie, Wei Fan, Philip S. Yu
2012	J	`jnl`	Identify Online Store Review Spammers via Social Review Graph. ACM Trans. Intell. Syst. Technol. Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2012	B	`conf`	Relevance search in heterogeneous networks. EDBT Chuan Shi, Xiangnan Kong, Philip S. Yu, Sihong Xie, Bin Wu
2012	A*	`conf`	Review spam detection via temporal pattern discovery. KDD Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
2012	—	`conf`	Review spam detection via time series pattern discovery. WWW (Companion Volume) Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu
2011	A*	`conf`	Review Graph Based Online Store Review Spammer Detection. ICDM Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu
2010	—	`conf`	Efficient and Numerically Stable Sparse Learning. ECML/PKDD (3) Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren
2009	A*	`conf`	Latent space domain transfer between high dimensional overlapping distributions. WWW Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren
2008	A*	`conf`	Graph-Based Iterative Hybrid Feature Selection. ICDM Erheng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang