F. Xu

发表

Detecting Topology Attacks against Graph Neural Networks

Hanghang Tong, Yuan Yao, Senrong Xu, 2022, ArXiv.

Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer

Yuan Yao, F. Xu, Tong Wang, 2022, ArXiv.

Fair Representation Learning: An Alternative to Mutual Information

Hanghang Tong, Xiaoxing Ma, Yuan Yao, 2022, KDD.

VegRisk: A Decision Support System for Risk Management of Vegetable Supply Chain

Xiaoshuan Zhang, Zetian Fu, X. Guo, 2008, ICNSC.

Untangling Composite Commits by Attributed Graph Clustering

Yuan Yao, F. Xu, Siyu Chen, 2022, Internetware.

Auditing Network Embedding: An Edge Influence Based Approach

Hanghang Tong, Yaojing Wang, Jian Lu, 2021, IEEE Transactions on Knowledge and Data Engineering.

SelfTrust: leveraging self-assessment for trust inference in Internetware

Feng Xu, Hanghang Tong, Yongli Ren, 2013, Science China Information Sciences.

A Brief Review of Network Embedding

Feng Xu, Hanghang Tong, Jian Lu, 2019, Big Data Min. Anal..

Commit Message Generation for Source Code Changes

Feng Xu, Hanghang Tong, Yuan Yao, 2019, IJCAI.

Addressing Common Vulnerabilities of Reputation Systems for Electronic Commerce

Feng Xu, Yuan Yao, Sini Ruohomaa, 2012, J. Theor. Appl. Electron. Commer. Res..

Detecting high-quality posts in community question answering sites

Feng Xu, Hanghang Tong, Jian Lu, 2015, Inf. Sci..

Unsupervised Attributed Network Embedding via Cross Fusion

Hanghang Tong, Guosheng Pan, Jian Lu, 2021, WSDM.

An Invisible Black-Box Backdoor Attack Through Frequency Domain

Hanghang Tong, Yuan Yao, F. Xu, 2022, ECCV.

Fine mapping and multidimensional analysis of carbon emission reduction in China

Xin-qi Zheng, M. Zheng, Tingting Wang, 2023, Frontiers in Ecology and Evolution.

An Integral Tag Recommendation Model for Textual Content

Feng Xu, Shijie Tang, Hanghang Tong, 2019, AAAI.

Guiding supervised topic modeling for content based tag recommendation

Feng Xu, Hanghang Tong, Jian Lu, 2018, Neurocomputing.

Pairwise trust inference by subgraph extraction

Feng Xu, Hanghang Tong, Jian Lu, 2013, Social Network Analysis and Mining.

MATRI: a multi-aspect and transitive trust inference model

Feng Xu, Hanghang Tong, Jian Lu, 2013, WWW.

Combining Code Context and Fine-grained Code Difference for Commit Message Generation

Hanghang Tong, Yuan Yao, F. Xu, 2022, Internetware.

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering

Hanghang Tong, Long Chen, Feng Xu, 2020, NeurIPS.

A broker-assisting trust and reputation system based on artificial neural network

F. Xu, Bo Zong, Jun Jiao, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Hashtag Recommendation for Photo Sharing Services

Feng Xu, Hanghang Tong, Xiaohui Yan, 2019, AAAI.

Version-Aware Rating Prediction for Mobile App Recommendation

Feng Xu, Hanghang Tong, Jian Lu, 2017, ACM Trans. Inf. Syst..

Bug Triaging Based on Tossing Sequence Modeling

Feng Xu, Jian Lu, Xusheng Xiao, 2019, Journal of Computer Science and Technology.

Structure Meets Sequences: Predicting Network of Co-evolving Sequences

Hanghang Tong, Yada Zhu, Yuan Yao, 2022, WSDM.

Bringing Order to Network Embedding: A Relative Ranking based Approach

Guosheng Pan, Hanghang Tong, Jian Lu, 2020, CIKM.

DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps

Fengyuan Xu, Peng Gao, Jian Lu, 2019, CCS.

Investigating the Impacts of Built-Up Land Allocation on Carbon Emissions in 88 Cities of the Yangtze River Economic Belt Based on Panel Regressions

Huan Wang, F. Xu, Jiayue Liu, 2023, Land.

Discerning Edge Influence for Network Embedding

Hanghang Tong, Yuan Yao, Feng Xu, 2019, CIKM.

Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model

Feng Xu, Hanghang Tong, Jian Lu, 2014, IEEE Transactions on Knowledge and Data Engineering.

Data Quality Matters: A Case Study of Obsolete Comment Detection

Xiaoxing Ma, Yuan Yao, F. Xu, 2023, 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE).

Dual-regularized one-class collaborative filtering with implicit feedback

Hanghang Tong, B. Szymanski, Jian Lu, 2019, World Wide Web.

Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation

Feng Xu, Hanghang Tong, Jian Lu, 2016, CIKM.

Investigation on the Chinese Text Sentiment Analysis Based on Convolutional Neural Networks in Deep Learning

F. Xu, Xuefen Zhang, Zhanhong Xin and Alan Yang, 2019, Computers, Materials & Continua.

On the Vulnerability of Graph Learning-based Collaborative Filtering

Hanghang Tong, Yuan Yao, Senrong Xu, 2022, ACM Trans. Inf. Syst..

Scalable Algorithms for CQA Post Voting Prediction

Feng Xu, Hanghang Tong, Jian Lu, 2017, IEEE Transactions on Knowledge and Data Engineering.