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2020 – today
- 2023
[j4]Hogun Park
, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo:
Incorporating experts' judgment into machine learning models. Expert Syst. Appl. 228: 120118 (2023)- [c27]Yuan Wang, Peifeng Yin, Zhiqiang Tao, Hari Venkatesan, Jin Lai, Yi Fang, PJ Xiao:
An Empirical Study of Selection Bias in Pinterest Ads Retrieval. KDD 2023: 5174-5183 - [i1]Hogun Park, Aly Megahed, Peifeng Yin, Yuya Jeremy Ong, Pravar Dilip Mahajan, Pei Guo:
Incorporating Experts' Judgment into Machine Learning Models. CoRR abs/2304.11870 (2023) - 2020
- [c26]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Economic Worth-Aware Word Embeddings. DSAA 2020: 344-353
2010 – 2019
- 2019
- [j3]Aly Megahed, Ahmed Nazeem, Peifeng Yin, Samir Tata, Hamid Reza Motahari-Nezhad, Taiga Nakamura:
Optimizing cloud solutioning design. Future Gener. Comput. Syst. 91: 86-95 (2019) - [c25]Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, Taiga Nakamura:
Diagnosis of Neural Network via Backward Deduction. IEEE BigData 2019: 260-267 - 2018
- [c24]Hamid R. Motahari Nezhad, Taiga Nakamura, Adi Sosnovich, Peifeng Yin, Karen Yorav:
A Model-Driven Framework for Automated Generation and Verification of Cloud Solutions from Requirements. ICSOC 2018: 714-721 - [c23]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Modeling Dynamic Competition on Crowdfunding Markets. WWW 2018: 1815-1824 - 2017
- [c22]Yusan Lin, Peifeng Yin, Wang-Chien Lee:
Modeling Menu Bundle Designs of Crowdfunding Projects. CIKM 2017: 1079-1088 - [c21]Peifeng Yin, Zhe Liu, Anbang Xu, Taiga Nakamura:
Tone Analyzer for Online Customer Service: An Unsupervised Model with Interfered Training. CIKM 2017: 1887-1895 - [c20]Peifeng Yin, Ping Luo, Taiga Nakamura:
Small Batch or Large Batch?: Gaussian Walk with Rebound Can Teach. KDD 2017: 1275-1284 - [c19]Peifeng Yin, Qiyu Shao, Xingfu Wang, Weihua Wang, Fuyou Miao, Chenxi Shao:
Theme-Based Spider for Academic Paper. LSMS/ICSEE (2) 2017: 223-230 - [c18]Aly Megahed, Ahmed Nazeem, Peifeng Yin, Samir Tata, Hamid Reza Motahari-Nezhad, Taiga Nakamura:
An Optimization-Based Approach for Cloud Solution Design. OTM Conferences (1) 2017: 751-764 - 2016
- [j2]Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee:
It takes two to tango: Exploring social tie development with both online and offline interactions. Stat. Anal. Data Min. 9(3): 174-187 (2016) - [c17]Aly Megahed, Peifeng Yin, Hamid Reza Motahari-Nezhad:
An Optimization Approach to Services Sales Forecasting in a Multi-staged Sales Pipeline. SCC 2016: 713-719 - [c16]Hamid R. Motahari Nezhad, Karen Yorav, Peifeng Yin, Taiga Nakamura, Scott Trent, Gil Shurek, Takayuki Kushida, Uma Subramanian:
COOL: A Model-Driven and Automated System for Guided and Verifiable Cloud Solution Design. ICSOC Workshops 2016: 194-198 - [c15]Peifeng Yin, Aly Megahed, Hamid Reza Motahari-Nezhad, Taiga Nakamura:
A Discrete Constraint-Based Method for Pipeline Build-Up Aware Services Sales Forecasting. ICSOC 2016: 813-828 - 2015
- [c14]Peifeng Yin, Hamid R. Motahari Nezhad, Aly Megahed, Taiga Nakamura:
A Progress Advisor for IT Service Engagements. SCC 2015: 592-599 - 2014
- [j1]Chenxi Shao, Fang Fang, Qingqing Liu, Tingting Wang, Binghong Wang, Peifeng Yin:
Recovering Chaotic Properties From Small Data. IEEE Trans. Cybern. 44(12): 2545-2556 (2014) - [c13]Kai Shu, Ping Luo, Wan Li, Peifeng Yin, Linpeng Tang:
Deal or deceit: detecting cheating in distribution channels. CIKM 2014: 1419-1428 - [c12]Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li:
Mining GPS Data for Trajectory Recommendation. PAKDD (2) 2014: 50-61 - [c11]Peifeng Yin, Nilam Ram, Wang-Chien Lee, Conrad S. Tucker, Shashank Khandelwal, Marcel Salathé:
Two Sides of a Coin: Separating Personal Communication and Public Dissemination Accounts in Twitter. PAKDD (1) 2014: 163-175 - [c10]Peifeng Yin, Qi He, Xingjie Liu, Wang-Chien Lee:
It Takes Two to Tango: Exploring Social Tie Development with Both Online and Offline Interactions. SDM 2014: 334-342 - 2013
- [c9]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c8]Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang:
Silence is also evidence: interpreting dwell time for recommendation from psychological perspective. KDD 2013: 989-997 - [c7]Peifeng Yin, Ping Luo, Wang-Chien Lee, Min Wang:
App recommendation: a contest between satisfaction and temptation. WSDM 2013: 395-404 - 2012
- [c6]Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee:
A straw shows which way the wind blows: ranking potentially popular items from early votes. WSDM 2012: 623-632 - 2011
- [c5]Wei Luo, Alan M. MacEachren, Peifeng Yin, Frank Hardisty:
Spatial-social network visualization for exploratory data analysis. GIS-LBSN 2011: 65-68 - [c4]Mao Ye, Dong Shou, Wang-Chien Lee, Peifeng Yin, Krzysztof Janowicz:
On the semantic annotation of places in location-based social networks. KDD 2011: 520-528 - [c3]Mao Ye, Peifeng Yin, Wang-Chien Lee, Dik Lun Lee:
Exploiting geographical influence for collaborative point-of-interest recommendation. SIGIR 2011: 325-334 - 2010
- [c2]Peifeng Yin, Wang-Chien Lee, Ken C. K. Lee:
On top-k social web search. CIKM 2010: 1313-1316 - [c1]Mao Ye, Peifeng Yin, Wang-Chien Lee:
Location recommendation for location-based social networks. GIS 2010: 458-461
Coauthor Index
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