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ORCIDYuan Yao 0001
姚远
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
- unicode name: 姚远
Other persons with the same name
- Yuan Yao — disambiguation page
- Yuan Yao 0002
![[0000-0002-0025-6175]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0025-6175")
— National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan - Yuan Yao 0003 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, China (and 1 more)
- Yuan Yao 0004 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China
- Yuan Yao 0005 — North Carolina State University, Sustainability Science and Engineering, Raleigh, NC, USA (and 1 more)
- Yuan Yao 0006 — Harvard University, Cambridge, MA, USA (and 1 more)
- Yuan Yao 0007 — University of Nottingham Ningbo China, School of Computer Science, Ningbo, China (and 2 more)
- Yuan Yao 0008 — Sanya Aviation and Tourism College, Sanya, China
- Yuan Yao 0009 — Uppsala University, Sweden (and 1 more)
- Yuan Yao 0010 — SUNY at Buffalo, USA (and 1 more)
- Yuan Yao 0011 — Hong Kong University of Science and Technology, Hong Kong (and 3 more)
- Yuan Yao 0012 — Beijing University of Posts and Telecommunications, School of Science, Beijing, China
- Yuan Yao 0013 — Tsinghua University, Institute for Artificial Intelligence, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Yuan Yao 0014 — Wuhan University, Wuhan, China
- Yuan Yao 0015 — Lanzhou University, China
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2020 – today
- 2024
[j21]Haibo Ye, Lijun Zhang, Yuan Yao, Sheng-Jun Huang:
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding. IEEE Trans. Big Data 10(6): 683-693 (2024)- [c56]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks. AAAI 2024: 274-282 - [c55]Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill:
Towards Open Domain Text-Driven Synthesis of Multi-person Motions. ECCV (65) 2024: 67-86 - [c54]Senrong Xu, Jiamei Shen, Yunfan Li, Yuan Yao, Ping Yu, Feng Xu, Xiaoxing Ma:
On the Heterophily of Program Graphs: A Case Study of Graph-based Type Inference. Internetware 2024 - [c53]Yining Yin, Yang Feng, Shihao Weng, Yuan Yao, Jia Liu, Zhihong Zhao:
Datactive: Data Fault Localization for Object Detection Systems. ISSTA 2024: 895-907 - [c52]Guangyuan Wu, Weining Cao, Yuan Yao, Hengfeng Wei, Taolue Chen, Xiaoxing Ma:
LLM Meets Bounded Model Checking: Neuro-symbolic Loop Invariant Inference. ASE 2024: 406-417 - [i15]Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. CoRR abs/2403.00323 (2024) - [i14]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. CoRR abs/2403.00329 (2024) - [i13]Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill:
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions. CoRR abs/2405.18483 (2024) - [i12]Lijun Zhang, Yuan Yao, Haibo Ye:
Dual Adversarial Perturbators Generate rich Views for Recommendation. CoRR abs/2409.06719 (2024) - [i11]Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu:
Neuro-symbolic Learning Yielding Logical Constraints. CoRR abs/2410.20957 (2024) - [i10]Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma:
Neuro-Symbolic Data Generation for Math Reasoning. CoRR abs/2412.04857 (2024) - 2023
- [j20]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation. ACM Trans. Inf. Syst. 41(3): 59:1-59:28 (2023) - [j19]Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong:
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41(4): 87:1-87:28 (2023) - [c51]Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. ICCV 2023: 4344-4355 - [c50]Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü:
Softened Symbol Grounding for Neuro-symbolic Systems. ICLR 2023 - [c49]Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü:
Learning with Logical Constraints but without Shortcut Satisfaction. ICLR 2023 - [c48]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Jingwei Xu, Xiaoxing Ma:
Data Quality Matters: A Case Study of Obsolete Comment Detection. ICSE 2023: 781-793 - [c47]Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu:
Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. ICSE 2023: 1187-1199 - [c46]Bingzhe Zhou, Xinying Wang, Shengbin Xu, Yuan Yao, Minxue Pan, Feng Xu, Xiaoxing Ma:
Hybrid API Migration: A Marriage of Small API Mapping Models and Large Language Models. Internetware 2023: 12-21 - [c45]Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu:
Neuro-symbolic Learning Yielding Logical Constraints. NeurIPS 2023 - [c44]Yining Yin, Yang Feng, Shihao Weng, Zixi Liu, Yuan Yao, Yichi Zhang, Zhihong Zhao, Zhenyu Chen:
Dynamic Data Fault Localization for Deep Neural Networks. ESEC/SIGSOFT FSE 2023: 1345-1357 - [c43]Shengwei An, Yuan Yao, Qiuling Xu, Shiqing Ma, Guanhong Tao, Siyuan Cheng, Kaiyuan Zhang, Yingqi Liu, Guangyu Shen, Ian Kelk, Xiangyu Zhang:
ImU: Physical Impersonating Attack for Face Recognition System with Natural Style Changes. SP 2023: 899-916 - [c42]Senrong Xu, Liangyue Li, Yuan Yao, Zulong Chen, Han Wu, Quan Lu, Hanghang Tong:
MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation. WSDM 2023: 517-525 - [i9]Haibo Ye, Xinjie Li, Yuan Yao, Hanghang Tong:
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation. CoRR abs/2309.13384 (2023) - [i8]Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma:
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey. CoRR abs/2311.12351 (2023) - [i7]Zelin Zhao, Zhaogui Xu, Jialong Zhu, Peng Di, Yuan Yao, Xiaoxing Ma:
The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model. CoRR abs/2312.17485 (2023) - 2022
- [j18]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Auditing Network Embedding: An Edge Influence Based Approach. IEEE Trans. Knowl. Data Eng. 34(11): 5211-5224 (2022) - [c41]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
An Invisible Black-Box Backdoor Attack Through Frequency Domain. ECCV (13) 2022: 396-413 - [c40]Shao Yang, Yuehan Wang, Yuan Yao, Haoyu Wang, Yanfang (Fanny) Ye, Xusheng Xiao:
DescribeCtx: Context-Aware Description Synthesis for Sensitive Behaviors in Mobile Apps. ICSE 2022: 685-697 - [c39]Siyu Chen, Shengbin Xu, Yuan Yao, Feng Xu:
Untangling Composite Commits by Attributed Graph Clustering. Internetware 2022: 117-126 - [c38]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong:
Combining Code Context and Fine-grained Code Difference for Commit Message Generation. Internetware 2022: 242-251 - [c37]Sen Wang, Zhuheng Sheng, Jingwei Xu, Taolue Chen, Junjun Zhu, Shuhui Zhang, Yuan Yao, Xiaoxing Ma:
ADEPT: A Testing Platform for Simulated Autonomous Driving. ASE 2022: 150:1-150:4 - [c36]Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong:
Fair Representation Learning: An Alternative to Mutual Information. KDD 2022: 1088-1097 - [c35]Guanhong Tao, Qiuling Xu, Yingqi Liu, Guangyu Shen, Shengwei An, Jingwei Xu, Xiangyu Zhang, Yuan Yao:
MIRROR: Model Inversion for Deep LearningNetwork with High Fidelity. NDSS 2022 - [c34]Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong:
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS 2022 - [c33]Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM 2022: 1090-1098 - [i6]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i5]Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An, Ting Wang:
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer. CoRR abs/2208.06592 (2022) - [i4]Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang:
Demystifying Self-supervised Trojan Attacks. CoRR abs/2210.07346 (2022) - 2021
- [c32]Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Unsupervised Attributed Network Embedding via Cross Fusion. WSDM 2021: 797-805 - [i3]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. CoRR abs/2111.10991 (2021) - 2020
- [j17]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu:
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62(6): 2461-2484 (2020) - [j16]Shilin Qu, Guibing Guo, Yuan Liu, Yuan Yao, Wei Wei:
Fast discrete factorization machine for personalized item recommendation. Knowl. Based Syst. 193: 105470 (2020) - [c31]Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu:
Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020: 1585-1594 - [c30]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020
2010 – 2019
- 2019
- [j15]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. Big Data Min. Anal. 2(1): 35-47 (2019) - [j14]Shengqu Xi, Yuan Yao, Xusheng Xiao, Feng Xu, Jian Lu:
Bug Triaging Based on Tossing Sequence Modeling. J. Comput. Sci. Technol. 34(5): 942-956 (2019) - [j13]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c29]Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. AAAI 2019: 5109-5116 - [c28]Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. AAAI 2019: 5805-5812 - [c27]Shengqu Xi, Shao Yang, Xusheng Xiao, Yuan Yao, Yayuan Xiong, Fengyuan Xu, Haoyu Wang, Peng Gao, Zhuotao Liu, Feng Xu, Jian Lu:
DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps. CCS 2019: 2421-2436 - [c26]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. CIKM 2019: 429-438 - [c25]Tianxiao Gu, Chengnian Sun, Xiaoxing Ma, Chun Cao, Chang Xu, Yuan Yao, Qirun Zhang, Jian Lu, Zhendong Su:
Practical GUI testing of Android applications via model abstraction and refinement. ICSE 2019: 269-280 - [c24]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. IJCAI 2019: 3975-3981 - [c23]Rongxun Guo, Tianxiao Gu, Yuan Yao, Feng Xu, Xiaoxing Ma:
Speedup Automatic Program Repair Using Dynamic Software Updating: An Empirical Study. Internetware 2019: 14:1-14:10 - 2018
- [b1]Yuan Yao, Xing Su, Hanghang Tong:
Mobile Data Mining. Springer Briefs in Computer Science, Springer 2018, ISBN 978-3-030-02100-9, pp. 1-53 - [j12]Yong Wu, Shengqu Xi, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Guiding supervised topic modeling for content based tag recommendation. Neurocomputing 314: 479-489 (2018) - [c22]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Min Li, Feng Xu, Jian Lu:
Bug Localization via Supervised Topic Modeling. ICDM 2018: 607-616 - [c21]Shengqu Xi, Yuan Yao, Xusheng Xiao, Feng Xu, Jian Lu:
An Effective Approach for Routing the Bug Reports to the Right Fixers. Internetware 2018: 11:1-11:10 - [c20]Lun Zhao, Yuan Yao, Guibing Guo, Hanghang Tong, Feng Xu, Jian Lu:
Team Expansion in Collaborative Environments. PAKDD (3) 2018: 713-725 - [r2]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [j11]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
On the Measurement and Prediction of Web Content Utility: A Review. SIGKDD Explor. 19(2): 1-12 (2017) - [j10]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem. IEEE Trans. Knowl. Data Eng. 29(6): 1296-1309 (2017) - [j9]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Scalable Algorithms for CQA Post Voting Prediction. IEEE Trans. Knowl. Data Eng. 29(8): 1723-1736 (2017) - [j8]Yuan Yao, Wayne Xin Zhao, Yaojing Wang, Hanghang Tong, Feng Xu, Jian Lu:
Version-Aware Rating Prediction for Mobile App Recommendation. ACM Trans. Inf. Syst. 35(4): 38:1-38:33 (2017) - [c19]Xiaofei Zhang, Yuan Yao, Yaojing Wang, Feng Xu, Jian Lu:
Exploring Metadata in Bug Reports for Bug Localization. APSEC 2017: 328-337 - [c18]Xing Su, Yuan Yao, Qing He, Jie Lu, Hanghang Tong:
Personalized travel mode detection with smartphone sensors. IEEE BigData 2017: 1341-1348 - [c17]Jingwei Xu, Yuan Yao, Hanghang Tong, Xianping Tao, Jian Lu:
HoORaYs: High-order Optimization of Rating Distance for Recommender Systems. KDD 2017: 525-534 - 2016
- [j7]Hansaim Lim, Aleksandar Poleksic, Yuan Yao, Hanghang Tong, Di He, Luke Zhuang, Patrick Meng, Lei Xie:
Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing. PLoS Comput. Biol. 12(10) (2016) - [c16]Yong Wu, Yuan Yao, Feng Xu, Hanghang Tong, Jian Lu:
Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation. CIKM 2016: 2287-2292 - [c15]Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, Hanghang Tong:
QUINT: On Query-Specific Optimal Networks. KDD 2016: 985-994 - 2015
- [j6]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Detecting high-quality posts in community question answering sites. Inf. Sci. 302: 70-82 (2015) - [c14]Licheng Li, Yuan Yao, Feng Xu, Jian Lu:
MATAR: Keywords Enhanced Multi-label Learning for Tag Recommendation. APWeb 2015: 268-279 - [c13]Jingwei Xu, Yuan Yao, Hanghang Tong, XianPing Tao, Jian Lu:
Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison. IJCAI 2015: 3981-3987 - [c12]Yaojing Wang, Feng Xu, Yuan Yao, Yong Wu:
Detecting Buggy Files based on Bug Reports: A Random Walk Based Approach. Internetware 2015: 62-69 - [c11]Guo Yan, Yuan Yao, Feng Xu, Jian Lu:
RIT: Enhancing Recommendation with Inferred Trust. PAKDD (2) 2015: 756-767 - 2014
- [j5]Jiufeng Zhou, Lixin Han, Yuan Yao, Xiaoqin Zeng, Feng Xu:
A Parallel Approach to Link Sign Prediction in Large-Scale Online Social Networks. Comput. J. 57(7): 1092-1104 (2014) - [j4]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model. IEEE Trans. Knowl. Data Eng. 26(7): 1706-1719 (2014) - [c10]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Joint voting prediction for questions and answers in CQA. ASONAM 2014: 340-343 - [c9]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-Regularized One-Class Collaborative Filtering. CIKM 2014: 759-768 - [c8]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Predicting long-term impact of CQA posts: a comprehensive viewpoint. KDD 2014: 1496-1505 - [c7]Xiaoyu Chen, Yuan Yao, Feng Xu, Jian Lu:
Exploring Review Content for Recommendation via Latent Factor Model. PRICAI 2014: 668-679 - [r1]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. Encyclopedia of Social Network Analysis and Mining 2014: 2084-2098 - 2013
- [j3]Yuan Yao, Feng Xu, Yongli Ren, Hanghang Tong, Jian Lü:
SelfTrust: leveraging self-assessment for trust inference in Internetware. Sci. China Inf. Sci. 56(10): 1-14 (2013) - [j2]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Pairwise trust inference by subgraph extraction. Soc. Netw. Anal. Min. 3(4): 953-968 (2013) - [c6]Guo Yan, Feng Xu, Yuan Yao, Jian Lu:
Enhancing trustworthiness evaluation in internetware with similarity and non-negative constraints. Internetware 2013: 25:1-25:4 - [c5]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MATRI: a multi-aspect and transitive trust inference model. WWW 2013: 1467-1476 - [i2]Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu:
Want a Good Answer? Ask a Good Question First! CoRR abs/1311.6876 (2013) - 2012
- [j1]Yuan Yao, Sini Ruohomaa, Feng Xu:
Addressing Common Vulnerabilities of Reputation Systems for Electronic Commerce. J. Theor. Appl. Electron. Commer. Res. 7(1): 1-20 (2012) - [c4]Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Subgraph Extraction for Trust Inference in Social Networks. ASONAM 2012: 163-170 - [c3]Tao Liu, Feng Xu, Yuan Yao, Jian Lu:
A group recommendation approach for service selection. Internetware 2012: 10:1-10:5 - [i1]Yuan Yao, Hanghang Tong, Xifeng Yan, Feng Xu, Jian Lu:
MaTrust: An Effective Multi-Aspect Trust Inference Model. CoRR abs/1211.2041 (2012) - 2011
- [c2]Yuan Yao, Jiufeng Zhou, Lixin Han, Feng Xu, Jian Lü:
Comparing Linkage Graph and Activity Graph of Online Social Networks. SocInfo 2011: 84-97
2000 – 2009
- 2009
- [c1]Jing Pan, Feng Xu, Yuan Yao, Jian Lü:
A dynamic trust network based simulation framework for reputation-based service selection. Internetware 2009: 14
Coauthor Index
[c56] [c54] [j19] [c48] [c46] [j18] [c41] [c39] [c38] [c36] [c33] [i6] [i5] [c32] [i3] [j17] [c31] [c30] [j15] [j14] [j13] [c29] [c28] [c27] [c26] [c24] [c23] [j12] [c22] [c21] [c20] [r2] [j11] [j9] [j8] [c19] [c16] [j6] [c14] [c12] [c11] [j5] [j4] [c10] [c9] [c8] [c7] [r1] [j3] [j2] [c6] [c5] [i2] [j1] [c4] [c3] [i1] [c2] [c1]
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