Publications

Uncertainty Quantification on Graph Learning: A Survey

Chao Chen, Chenghua Guo, Rui Xu, Xiangwen Liao, Xi Zhang, Sihong Xie, Hui Xiong, Philip Yu

[paper]

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

[paper]

Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution

Yazheng Liu, Xi Zhang, Sihong Xie*, Hui Xiong

[bib] [paper] [codes]

Information Flow Reveals When to Trust Language Models

Rui Xu, Yi Chen, Jiujiu Chen, Sihong Xie*

[bib] [paper] [codes]

Noise-Robust Cross-Lingual Code Retrieval via Code Cloze Style Augmentation

Rufeng Chen, Yue Chang, Xiaqiang Tang, Hechang Chen, Sihong Xie*

[bib] [paper] [codes]

Efficient Multitask Learning with Expert Routing

Chenghua Guo, Sihong Xie, Xi Zhang, Hui Xiong

[bib] [paper] [codes]

Perturbation-Resilient Autonomous Navigation via Reinforcement Learning

Zhaofan Zhang, Minghao Yang, Sihong Xie, Hui Xiong

[bib] [paper] [codes]

REFO: Reinforced Evolutionary Faithfulness Optimization for LLMs

Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie*

[bib] [paper] [codes]

RAG-3DSG: Enhancing 3D Scene Graphs with Re-Shot Guided Retrieval-Augmented Generation

Yue Chang, Rufeng Chen, Zhaofan Zhang, Y. Chen, Yifan Tian, Sihong Xie

[bib] [paper]

Adaptive-Critical: Identifying Critical States for Risk-Sensitive Navigation via Distributional Reinforcement Learning

Zhaofan Zhang, Sihong Xie, Hui Xiong

[bib] [paper]

Robust Explanations for Graph Neural Networks via Graph Curvatures

Yazheng Liu, Xi Zhang, Sihong Xie*, Hui Xiong

[bib] [paper] [codes]

CogniBench: A Benchmark for Evaluating LLM Cognitive Abilities

Xiaqiang Tang, Jian Li*, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie*

[bib] [paper] [codes]

Conformal Prediction for Graph Neural Networks

Rui Xu, Chao Chen, Yue Sun, Parvathinathan Venkitasubramaniam, Sihong Xie*

[bib] [paper] [codes]

Explainable GNNs via Multi-level Attribution

Yazheng Liu, Sihong Xie*

[bib] [paper] [codes]

Bandit-enhanced Retrieval-Augmented Generation over Knowledge Graphs

Xiaqiang Tang, Jian Li*, Nan Du, Sihong Xie*

[bib] [paper] [codes]

MBA-RAG: A Multi-Branch Adaptive Retrieval-Augmented Generation Framework

Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie*

[bib] [paper] [codes]

Stable Explanation for Graph Neural Networks

Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie*

[bib] [paper] [codes]

Uncertainty Quantification for Graph Learning

Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie*, Xi Zhang*

[bib] [paper] [codes]

Robustness Analysis of Graph Neural Networks

Yuefei Lyu, Sihong Xie, Chaozhuo Li, Xi Zhang*

[bib] [paper] [codes]

Periodic Prompt on Dynamic Heterogeneous Graph

Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Chang-Dong Wang, Sihong Xie, Shuangyin Liu, Min Chen, Mohsen Guizani

[bib] [paper] [codes]

Domain Differential Equations into GCN

Yue Sun, Chao Chen, Yuesheng Xu, Sihong Xie, Rick S. Blum, Parv Venkitasubramaniam

[bib] [paper] [codes]

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, Parv Venkitasubramaniam

[bib] [paper]

The 12th International Workshop on Urban Computing

Are Your Reviewers Being Treated Equally? Discovering Subgroup Structures to Improve Fairness in Spam Detection

Sihong Xie, Jiaxin Liu, Yuefei Lyu, Xi Zhang

[bib] [paper]

2nd ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications

Differential Geometric View of Graph Neural Networks

Yazheng Liu, Xi Zhang, Sihong Xie

[bib] [paper] [codes]

Budget Allocation for Crowdsourcing

Adithya Kulkarni, Mohna Chakraborty, Sihong Xie, Qi Li

[bib] [paper] [codes]

Multi-modal Rumor Detection

Mengzhu Sun, Xi Zhang, Jianqiang Ma, Sihong Xie, Yazheng Liu, Philip S. Yu

[bib] [paper] [codes]

Interpretable RL for Attacking Rumor Detection

Yuefei Lv, Xiaoyu Yang, Jiaxin Liu, Sihong Xie, Philip S. Yu, Xi Zhang

[bib] [paper]

Constrained Multi-objective Optimization

Eric Enouen, Katja Mathesius, Sean Wang, Arielle Carr, Sihong Xie

[bib] [paper]

Fairness in Graph Mining

Yazheng Liu, Xi Zhang, Sihong Xie

[bib] [paper]

Multi-objective Explanations of GNN Predictions

Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie

[bib] [paper] [codes]

Self-learn to Explain Siamese Networks Robustly

Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie

[bib] [paper]

Truth Discovery in Sequence Labels from Crowds

Nasim Sabetpour, Adithya Kulkarni, Sihong Xie, Qi Li

[bib] [paper]

Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection

Kai Burkholder, Kenny Kwock, Sheldon Xu, Jiaxin Liu, Chao Chen, Sihong Xie

[bib] [paper]

Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks

Hang Yin, John Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie

[bib] [paper]

Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference

Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie

[bib] [paper]

Active Search using Meta-Bandits

Shengli Zhu, Jakob Coles, Sihong Xie

[bib] [paper]

Robust Spammer Detection by Nash Reinforcement Learning

Yingtong Dou, Guixiang Ma, Philip S. Yu, Sihong Xie

[bib] [paper] [codes]

Scalable Explanation of Inferences on Large Graphs

Chao Chen, Yifei Liu, Xi Zhang, Sihong Xie

[bib] [paper]

Transductive Learning via Improved Geodesic Sampling

Youshan Zhang, Sihong Xie, Brian D. Davison

[bib] [paper]

Securing Behavior-based Opinion Spam Detection

Shuaijun Ge, Guixiang Ma, Sihong Xie, Philip S. Yu

[bib] [paper]

PER: A Probabilistic Attentional Model for Personalized Text Recommendations

Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu

[bib] [paper]

Semi-supervised Deep Representation Learning for Multi-View Problems

Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu

[bib] [paper]

Next Generation Trustworthy Fraud Detection

Sihong Xie, Philip S. Yu

[bib] [paper]

Dual Attention Network for Product Compatibility Analysis

Hu Xu, Lei Shu, Sihong Xie, Philip S. Yu

[bib] [paper]

Product Function Need Recognition via Semi-supervised Attention Network

Hu Xu, Lei Shu, Sihong Xie, Philip S. Yu

[bib] [paper]

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-links

Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu

[bib] [paper]

SEVEN: Deep Semi-supervised Verification Networks

Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu

[bib] [paper]

Interpretable and Effective Opinion Spam Detection via Temporal Patterns Mining across Websites

Yuan Yuan, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Jie Tang

[bib] [paper]

HEER: Heterogeneous Graph Embedding for Emerging Relation Detection from News

Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu

[bib] [paper]

CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews

Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu

[bib] [paper]

Multi-source Hierarchical Prediction Consolidation

Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu

[bib] [paper]

Active Zero-shot Learning

Sihong Xie, Shaoxiong Wang, Philip S. Yu

[bib] [paper]

Item Recommendation for Emerging Online Businesses

Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu

[bib] [paper]

Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction

Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu

[bib] [paper]

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, Ann B. Ragin

[bib] [paper]

HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer

Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu, Songtao Guo, Philip S. Yu

[bib] [paper]

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

[bib] [paper]

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

[bib] [paper]

An Effective and Economic Bi-level Approach to Ranking and Rating Spam Detection

Sihong Xie, Qingbo Hu, Jingyuan Zhang, Philip S. Yu

[bib] [paper]

Learning Entity Types from Query Logs via Graph-Based Modeling

Jingyuan Zhang, Luo Jie, Altaf Rahman, Sihong Xie, Yi Chang, Philip S. Yu

[bib] [paper]

Efficient Partial Order Preserving Unsupervised Feature Selection on Networks

Xiaokai Wei, Sihong Xie, Philip S. Yu

[bib] [paper]

OnlineCM: Real-time Consensus Classification with Missing Values

Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu

[bib] [paper]

Frameworks to Encode User Preferences for Inferring Topic-sensitive Information Networks

Qingbo Hu, Sihong Xie, Shuyang Lin, Wei Fan, Philip S. Yu

[bib] [paper]

Class-Distribution Regularized Consensus Maximization for Alleviating Overfitting in Model Combination

Sihong Xie, Jing Gao, Deepak Turaga, Wei Fan, Philip S. Yu

[bib] [paper]

Inferring the Impacts of Social Media on Crowdfunding

Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu

[bib] [paper]

Future Influence Ranking of Scientific Literature

Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu

[bib] [paper]

Multilabel Consensus Classification

Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu

[bib] [paper]

Review Spam Detection via Temporal Pattern Discovery

Sihong Xie, Guan Wang, Shuyang Lin, Philip S. Yu

[bib] [paper]

An Iterative and Re-weighting Framework for Rejection and Uncertainty Resolution in Crowdsourcing

Sihong Xie, Wei Fan, Philip S. Yu

[bib] [paper]

Review Graph Based Online Store Review Spammer Detection

Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu

[bib] [paper]

Efficient and Numerically Stable Sparse Learning

Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao Ren

[bib] [paper]

Latent Space Domain Transfer between High Dimensional Overlapping Distributions

Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren

[bib] [paper]

Graph-based Iterative Hybrid Feature Selection

Erheng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang

[bib] [paper]

IAD: Interaction-Aware Diffusion Framework in Social Networks

Xi Zhang, Yuan Su, Siyu Qu, Sihong Xie, Binxing Fang, Philip S. Yu

[bib] [paper]

Active Zero-Shot Learning: A novel approach to extreme multi-labeled classification

Sihong Xie, Philip S. Yu

[bib] [paper]

Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement

Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He

[bib] [paper]

Identify Online Store Review Spammers via Social Review Graph

Guan Wang, Sihong Xie, Bing Liu, Philip S. Yu

[bib] [paper]