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Cheng Jie

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affiliation: University of Maryland, Department of Mathematics

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Journal Articles

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2022
[j3]
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  - journals/fdata/JieWXS22
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Cheng Jie, Zigeng Wang, Da Xu, Wei Shen:
Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system. Frontiers Big Data 5 (2022)
2018
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  - journals/automatica/LinJM18
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Kun Lin, Cheng Jie, Steven I. Marcus:
Probabilistically distorted risk-sensitive infinite-horizon dynamic programming. Autom. 97: 1-6 (2018)
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Cheng Jie, Prashanth L. A., Michael C. Fu, Steven I. Marcus, Csaba Szepesvári:
Stochastic Optimization in a Cumulative Prospect Theory Framework. IEEE Trans. Autom. Control. 63(9): 2867-2882 (2018)

Conference and Workshop Papers

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2016
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Prashanth L. A., Cheng Jie, Michael C. Fu, Steven I. Marcus, Csaba Szepesvári:
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control. ICML 2016: 1406-1415

Informal and Other Publications

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2022
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  - journals/corr/abs-2209-10792
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Cheng Jie, Da Xu, Zigeng Wang, Wei Shen:
Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic. CoRR abs/2209.10792 (2022)
2021
[i3]
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  - journals/corr/abs-2106-12700
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Cheng Jie, Da Xu, Zigeng Wang, Lu Wang, Wei Shen:
Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce. CoRR abs/2106.12700 (2021)
2020
[i2]
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  - journals/corr/abs-2008-10060
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Haoyi Zhu, Cheng Jie, Shaofei Jiang:
Multi-Person Full Body Pose Estimation. CoRR abs/2008.10060 (2020)
2015
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  - journals/corr/ACFM15
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Prashanth L. A., Cheng Jie, Michael C. Fu, Steven I. Marcus:
Cumulative Prospect Theory Meets Reinforcement Learning: Estimation and Control. CoRR abs/1506.02632 (2015)

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