Yuan Yao

According to our database, Yuan Yao authored at least 89 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding.

Haibo Ye, Lijun Zhang, Yuan Yao, Sheng-Jun Huang

IEEE Trans. Big Data, December, 2024

Dual Adversarial Perturbators Generate rich Views for Recommendation.

Lijun Zhang, Yuan Yao, Haibo Ye

CoRR, 2024

Datactive: Data Fault Localization for Object Detection Systems.

Yining Yin, Yang Feng, Shihao Weng, Yuan Yao, Jia Liu, Zhihong Zhao

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

On the Heterophily of Program Graphs: A Case Study of Graph-based Type Inference.

Senrong Xu, Jiamei Shen, Yunfan Li, Yuan Yao, Ping Yu, Feng Xu, Xiaoxing Ma

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

Towards Open Domain Text-Driven Synthesis of Multi-person Motions.

Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill

Proceedings of the Computer Vision - ECCV 2024, 2024

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks.

Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

On the Vulnerability of Graph Learning-based Collaborative Filtering.

Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong

ACM Trans. Inf. Syst., October, 2023

Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation.

Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong

ACM Trans. Inf. Syst., 2023

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model.

Zelin Zhao, Zhaogui Xu, Jialong Zhu, Peng Di, Yuan Yao, Xiaoxing Ma

CoRR, 2023

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma

CoRR, 2023

On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation.

Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong

CoRR, 2023

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation.

Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes.

Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Dynamic Data Fault Localization for Deep Neural Networks.

Yining Yin, Yang Feng, Shihao Weng, Zixi Liu, Yuan Yao, Yichi Zhang, Zhihong Zhao, Zhenyu Chen

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Neuro-symbolic Learning Yielding Logical Constraints.

Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hybrid API Migration: A Marriage of Small API Mapping Models and Large Language Models.

Bingzhe Zhou, Xinying Wang, Shengbin Xu, Yuan Yao, Minxue Pan, Feng Xu, Xiaoxing Ma

Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

Data Quality Matters: A Case Study of Obsolete Comment Detection.

Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Jingwei Xu, Xiaoxing Ma

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective.

Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Learning with Logical Constraints but without Shortcut Satisfaction.

Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Softened Symbol Grounding for Neuro-symbolic Systems.

Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning.

Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Auditing Network Embedding: An Edge Influence Based Approach.

Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

IEEE Trans. Knowl. Data Eng., 2022

Demystifying Self-supervised Trojan Attacks.

Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang

CoRR, 2022

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

Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang

CoRR, 2022

Detecting Topology Attacks against Graph Neural Networks.

Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong

CoRR, 2022

Structure Meets Sequences: Predicting Network of Co-evolving Sequences.

Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Deep Learning Dataloader with Shared Data Preparation.

Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity.

Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

Fair Representation Learning: An Alternative to Mutual Information.

Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ADEPT: A Testing Platform for Simulated Autonomous Driving.

Sen Wang, Zhuheng Sheng, Jingwei Xu, Taolue Chen, Junjun Zhu, Shuhui Zhang, Yuan Yao, Xiaoxing Ma

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

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

Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong

Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

Untangling Composite Commits by Attributed Graph Clustering.

Siyu Chen, Shengbin Xu, Yuan Yao, Feng Xu

Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps.

Shao Yang, Yuehan Wang, Yuan Yao, Haoyu Wang, Yanfang (Fanny) Ye, Xusheng Xiao

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

An Invisible Black-Box Backdoor Attack Through Frequency Domain.

Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Backdoor Attack through Frequency Domain.

Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang

CoRR, 2021

Unsupervised Attributed Network Embedding via Cross Fusion.

Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the WSDM '21, 2021

2020

Fast discrete factorization machine for personalized item recommendation.

Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei

Knowl. Based Syst., 2020

Enhancing supervised bug localization with metadata and stack-trace.

Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu

Knowl. Inf. Syst., 2020

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering.

Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bringing Order to Network Embedding: A Relative Ranking based Approach.

Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Dual-regularized one-class collaborative filtering with implicit feedback.

Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu

World Wide Web, 2019

Bug Triaging Based on Tossing Sequence Modeling.

Shengqu Xi, Yuan Yao, Xusheng Xiao, Feng Xu, Jian Lu

J. Comput. Sci. Technol., 2019

A Brief Review of Network Embedding.

Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Big Data Min. Anal., 2019

Speedup Automatic Program Repair Using Dynamic Software Updating: An Empirical Study.

Rongxun Guo, Tianxiao Gu, Yuan Yao, Feng Xu, Xiaoxing Ma

Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Commit Message Generation for Source Code Changes.

Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Practical GUI testing of Android applications via model abstraction and refinement.

Tianxiao Gu, Chengnian Sun, Xiaoxing Ma, Chun Cao, Chang Xu, Yuan Yao, Qirun Zhang, Jian Lu, Zhendong Su

Proceedings of the 41st International Conference on Software Engineering, 2019

Discerning Edge Influence for Network Embedding.

Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

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

Shengqu Xi, Shao Yang, Xusheng Xiao, Yuan Yao, Yayuan Xiong, Fengyuan Xu, Haoyu Wang, Peng Gao, Zhuotao Liu, Feng Xu, Jian Lu

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Hashtag Recommendation for Photo Sharing Services.

Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

An Integral Tag Recommendation Model for Textual Content.

Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Mobile Data Mining

Yuan Yao, Xing Su, Hanghang Tong

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-02100-9, 2018

Subgraph Extraction for Trust Inference in Social Networks.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Guiding supervised topic modeling for content based tag recommendation.

Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu

Neurocomputing, 2018

Team Expansion in Collaborative Environments.

Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An Effective Approach for Routing the Bug Reports to the Right Fixers.

Shengqu Xi, Yuan Yao, Xusheng Xiao, Feng Xu, Jian Lu

Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

Bug Localization via Supervised Topic Modeling.

Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Version-Aware Rating Prediction for Mobile App Recommendation.

Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu

ACM Trans. Inf. Syst., 2017

Scalable Algorithms for CQA Post Voting Prediction.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

IEEE Trans. Knowl. Data Eng., 2017

RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem.

Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu

IEEE Trans. Knowl. Data Eng., 2017

On the Measurement and Prediction of Web Content Utility: A Review.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

SIGKDD Explor., 2017

HoORaYs: High-order Optimization of Rating Distance for Recommender Systems.

Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Personalized travel mode detection with smartphone sensors.

Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Exploring Metadata in Bug Reports for Bug Localization.

Xiaofei Zhang, Yuan Yao, Yaojing Wang, Feng Xu, Jian Lu

Proceedings of the 24th Asia-Pacific Software Engineering Conference, 2017

2016

Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing.

Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie

PLoS Comput. Biol., 2016

QUINT: On Query-Specific Optimal Networks.

Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

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

Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Detecting high-quality posts in community question answering sites.

Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu

Inf. Sci., 2015

RIT: Enhancing Recommendation with Inferred Trust.

Guo Yan, Yuan Yao, Feng Xu, Jian Lu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Detecting Buggy Files based on Bug Reports: A Random Walk Based Approach.

Yaojing Wang, Feng Xu, Yuan Yao, Yong Wu

Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison.

Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

MATAR: Keywords Enhanced Multi-label Learning for Tag Recommendation.

Licheng Li, Yuan Yao, Feng Xu, Jian Lu

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014

Subgraph Extraction for Trust Inference in Social Networks.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Encyclopedia of Social Network Analysis and Mining, 2014

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

Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu

IEEE Trans. Knowl. Data Eng., 2014

A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks.

Jiufeng Zhou, Lixin Han, Yuan Yao, Xiaoqin Zeng, Feng Xu

Comput. J., 2014

Exploring Review Content for Recommendation via Latent Factor Model.

Xiaoyu Chen, Yuan Yao, Feng Xu, Jian Lu

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Predicting long-term impact of CQA posts: a comprehensive viewpoint.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Dual-Regularized One-Class Collaborative Filtering.

Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Joint voting prediction for questions and answers in CQA.

Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013

Pairwise trust inference by subgraph extraction.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Soc. Netw. Anal. Min., 2013

Want a Good Answer? Ask a Good Question First!

Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu

CoRR, 2013

SelfTrust: leveraging self-assessment for trust inference in Internetware.

Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü

Sci. China Inf. Sci., 2013

MATRI: a multi-aspect and transitive trust inference model.

Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu

Proceedings of the 22nd International World Wide Web Conference, 2013

Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints.

Guo Yan, Feng Xu, Yuan Yao, Jian Lu

Proceedings of the 5th Asia-Pacific Symposium on Internetware, 2013

2012

Addressing Common Vulnerabilities of Reputation Systems for Electronic Commerce.

Yuan Yao, Sini Ruohomaa, Feng Xu

J. Theor. Appl. Electron. Commer. Res., 2012

MaTrust: An Effective Multi-Aspect Trust Inference Model

Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu

CoRR, 2012

A group recommendation approach for service selection.

Tao Liu, Feng Xu, Yuan Yao, Jian Lu

Proceedings of the Fourth Asia-Pacific Symposium on Internetware, 2012

Subgraph Extraction for Trust Inference in Social Networks.

Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011

Comparing Linkage Graph and Activity Graph of Online Social Networks.

Yuan Yao, Jiufeng Zhou, Lixin Han, Feng Xu, Jian Lü

Proceedings of the Social Informatics - Third International Conference, SocInfo 2011, 2011

2009

A dynamic trust network based simulation framework for reputation-based service selection.

Jing Pan, Feng Xu, Yuan Yao, Jian Lü

Proceedings of the First Asia-Pacific Symposium on Internetware, 2009