On top-k social web search. - Peifeng Yin; Wang-Chien Lee; Ken C. K. Lee (CIKM, 2010)

Location recommendation for location-based social networks. - Mao Ye 002; Peifeng Yin; Wang-Chien Lee (GIS, 2010)

Spatial-social network visualization for exploratory data analysis. - Wei Luo; Alan M. MacEachren; Peifeng Yin; Frank Hardisty (GIS-LBSN, 2011)

On the semantic annotation of places in location-based social networks. - Mao Ye 002; Dong Shou; Wang-Chien Lee; Peifeng Yin; Krzysztof Janowicz (KDD, 2011)

Exploiting geographical influence for collaborative point-of-interest recommendation. - Mao Ye 002; Peifeng Yin; Wang-Chien Lee; Dik Lun Lee (SIGIR, 2011)

A straw shows which way the wind blows: ranking potentially popular items from early votes. - Peifeng Yin; Ping Luo 001; Min Wang 001; Wang-Chien Lee (WSDM, 2012)

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. - Fuzhen Zhuang; Ping Luo 001; Peifeng Yin; Qing He 003; Zhongzhi Shi (IJCAI, 2013)

Silence is also evidence: interpreting dwell time for recommendation from psychological perspective. - Peifeng Yin; Ping Luo 001; Wang-Chien Lee; Min Wang 001 (KDD, 2013)

App recommendation: a contest between satisfaction and temptation. - Peifeng Yin; Ping Luo 001; Wang-Chien Lee; Min Wang 001 (WSDM, 2013)

Deal or deceit: detecting cheating in distribution channels. - Kai Shu; Ping Luo 001; Wan Li; Peifeng Yin; Linpeng Tang (CIKM, 2014)

Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter. - Peifeng Yin; Nilam Ram; Wang-Chien Lee; Conrad S. Tucker; Shashank Khandelwal; Marcel Salathé (PAKDD (1), 2014)

Mining GPS Data for Trajectory Recommendation. - Peifeng Yin; Mao Ye 002; Wang-Chien Lee; Zhenhui Li (PAKDD (2), 2014)

Recovering Chaotic Properties From Small Data. - Chenxi Shao; Fang Fang; Qingqing Liu; Tingting Wang; Binghong Wang; Peifeng Yin (IEEE Trans. Cybern., 2014)

A Progress Advisor for IT Service Engagements. - Peifeng Yin; Hamid R. Motahari Nezhad; Aly Megahed; Taiga Nakamura (SCC, 2015)

An Optimization Approach to Services Sales Forecasting in a Multi-staged Sales Pipeline. - Aly Megahed; Peifeng Yin; Hamid Reza Motahari-Nezhad (SCC, 2016)

COOL: A Model-Driven and Automated System for Guided and Verifiable Cloud Solution Design. - Hamid R. Motahari Nezhad; Karen Yorav; Peifeng Yin; Taiga Nakamura; Scott Trent; Gil Shurek; Takayuki Kushida; Uma Subramanian (ICSOC Workshops, 2016)

A Discrete Constraint-Based Method for Pipeline Build-Up Aware Services Sales Forecasting. - Peifeng Yin; Aly Megahed; Hamid Reza Motahari-Nezhad; Taiga Nakamura (ICSOC, 2016)

It takes two to tango: Exploring social tie development with both online and offline interactions. - Peifeng Yin; Qi He 002; Xingjie Liu; Wang-Chien Lee (Stat. Anal. Data Min., 2016)

Modeling Menu Bundle Designs of Crowdfunding Projects. - Yusan Lin; Peifeng Yin; Wang-Chien Lee (CIKM, 2017)

Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training. - Peifeng Yin; Zhe Liu 002; Anbang Xu; Taiga Nakamura (CIKM, 2017)

Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. - Peifeng Yin; Ping Luo 001; Taiga Nakamura (KDD, 2017)

Theme-Based Spider for Academic Paper. - Peifeng Yin; Qiyu Shao; Xingfu Wang; Weihua Wang; Fuyou Miao 001; Chenxi Shao (LSMS/ICSEE (2), 2017)

An Optimization-Based Approach for Cloud Solution Design. - Aly Megahed; Ahmed Nazeem; Peifeng Yin; Samir Tata; Hamid Reza Motahari-Nezhad; Taiga Nakamura (OTM Conferences (1), 2017)

A Model-Driven Framework for Automated Generation and Verification of Cloud Solutions from Requirements. - Hamid R. Motahari Nezhad; Taiga Nakamura; Adi Sosnovich; Peifeng Yin; Karen Yorav (ICSOC, 2018)

Modeling Dynamic Competition on Crowdfunding Markets. - Yusan Lin; Peifeng Yin; Wang-Chien Lee (WWW, 2018)

Diagnosis of Neural Network via Backward Deduction. - Peifeng Yin; Lei Huang 018; Sunhwan Lee; Mu Qiao; Shubhi Asthana; Taiga Nakamura (IEEE BigData, 2019)

Optimizing cloud solutioning design. - Aly Megahed; Ahmed Nazeem; Peifeng Yin; Samir Tata; Hamid Reza Motahari-Nezhad; Taiga Nakamura (Future Gener. Comput. Syst., 2019)

Economic Worth-Aware Word Embeddings. - Yusan Lin; Peifeng Yin; Wang-Chien Lee (DSAA, 2020)

An Empirical Study of Selection Bias in Pinterest Ads Retrieval. - Yuan Wang 076; Peifeng Yin; Zhiqiang Tao; Hari Venkatesan; Jin Lai; Yi Fang 008; PJ Xiao (KDD, 2023)

Incorporating experts' judgment into machine learning models. - Hogun Park; Aly Megahed; Peifeng Yin; Yuya Jeremy Ong; Pravar Dilip Mahajan; Pei Guo (Expert Syst. Appl., 2023)