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Yafeng Yin

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2024
[c6]
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Jeffrey T. Scruggs, Richard Lee, Yafeng Yin:
Global Stabilization of Nash Equilibrium for Mixed Traffic. ACC 2024: 1480-1487
2021
[i3]
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  - journals/corr/abs-2107-11318
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Alexander Sundt, Qi Luo, John Vincent, Mehrdad Shahabi, Yafeng Yin:
Heuristics for Customer-focused Ride-pooling Assignment. CoRR abs/2107.11318 (2021)
2020
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  - journals/corr/abs-2004-04602
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Baichuan Mo, Kairui Feng, Yu Shen, Clarence Tam, Daqing Li, Yafeng Yin, Jinhua Zhao:
Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. CoRR abs/2004.04602 (2020)
[i1]
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  - journals/corr/abs-2007-07554
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Mojtaba Abdolmaleki, Yafeng Yin, Neda Masoud:
Minimum Weight Pairwise Distance Preservers. CoRR abs/2007.07554 (2020)

2010 – 2019

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2014
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Lawrence O'Gorman, Yafeng Yin, Tin Kam Ho:
Motion feature filtering for event detection in crowded scenes. Pattern Recognit. Lett. 44: 80-87 (2014)
2010
[c5]
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  - conf/IEEEcit/LiuLYTGZ10
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Yue Liu, Zhenjiang Liao, Yafeng Yin, Zaixia Teng, Junjun Gao, Bofeng Zhang:
Selective and Heterogeneous SVM Ensemble for Demand Forecasting. CIT 2010: 1519-1524

2000 – 2009

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2008
[c4]
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Yue Liu, Yafeng Yin, Zaixia Teng, Qi Wu, Guozheng Li:
Activities Prediction of Drug Molecules by Using the Optimal Ensemble Based on Uniform Design. ICIC (1) 2008: 106-113
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Yue Liu, Yafeng Yin, Junjun Gao, Chongli Tan:
Wrapper Feature Selection Optimized SVM Model for Demand Forecasting. ICYCS 2008: 953-958
[c2]
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Yue Liu, Zaixia Teng, Yafeng Yin, Guo-Zheng Li:
Using Rough Reducts Based SVM Ensemble for SAR of the Ethofenprox Analogous of Pesticide. IMSCCS 2008: 25-30
2007
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Yue Liu, Yafeng Yin, Junjun Gao, Chongli Tan:
Demand Forecasting by Using Support Vector Machine. ICNC (3) 2007: 272-276

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