Cumulative Prospect Theory Meets Reinforcement Learning: Estimation and Control. - Prashanth L. A.; Cheng Jie; Michael C. Fu 001; Steven I. Marcus (CoRR, 2015)

Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control. - Prashanth L. A.; Cheng Jie; Michael C. Fu 001; Steven I. Marcus; Csaba Szepesvári (ICML, 2016)

Probabilistically distorted risk-sensitive infinite-horizon dynamic programming. - Kun Lin; Cheng Jie; Steven I. Marcus (Autom., 2018)

Stochastic Optimization in a Cumulative Prospect Theory Framework. - Cheng Jie; Prashanth L. A.; Michael C. Fu 001; Steven I. Marcus; Csaba Szepesvári (IEEE Trans. Autom. Control., 2018)

Decision Making Under Uncertainty: New Models and Applications. - Cheng Jie (2018)

Multi-Person Full Body Pose Estimation. - Haoyi Zhu; Cheng Jie; Shaofei Jiang (CoRR, 2020)

Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce. - Cheng Jie; Da Xu; Zigeng Wang; Lu Wang; Wei Shen (CoRR, 2021)

Deep Learning Based Page Creation for Improving E-Commerce Organic Search Traffic. - Cheng Jie; Da Xu; Zigeng Wang; Wei Shen (CoRR, 2022)

Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system. - Cheng Jie; Zigeng Wang; Da Xu; Wei Shen (Frontiers Big Data, 2022)