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Wenjie Shi
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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
- 2024
- [j7]Qisen Yang
, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang
, Shiji Song
:
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1014-1025 (2024) - 2023
- [i6]Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Huang, Shiji Song:
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning. CoRR abs/2309.01458 (2023) - 2022
- [j6]Wenjie Shi
, Gao Huang
, Shiji Song
, Zhuoyuan Wang, Tingyu Lin, Cheng Wu
:
Self-Supervised Discovering of Interpretable Features for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2712-2724 (2022) - [j5]Wenjie Shi
, Gao Huang
, Shiji Song
, Cheng Wu
:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 10222-10235 (2022) - [j4]Wenjie Shi
, Daniel M. Tartakovsky
:
Polynomial Chaos Expansions for Stiff Random ODEs. SIAM J. Sci. Comput. 44(3): 1021- (2022) - 2021
- [j3]Pengyu Liu, Wenjie Shi, Tonghui Guo, Guanjing Ren, Sheng Zhang:
A novel CIS pixel structure design and simulation for DNA fluorescence sequencing. IEICE Electron. Express 18(5): 20210045 (2021) - [i5]Wenjie Shi, Gao Huang, Shiji Song, Cheng Wu:
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning. CoRR abs/2112.03020 (2021) - 2020
- [i4]Wenjie Shi, Shiji Song, Zhuoyuan Wang, Gao Huang:
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning. CoRR abs/2003.07069 (2020)
2010 – 2019
- 2019
- [j2]Wenjie Shi
, Shiji Song
, Cheng Wu
, C. L. Philip Chen
:
Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. IEEE Trans. Neural Networks Learn. Syst. 30(12): 3534-3546 (2019) - [c4]Wenjie Shi, Shiji Song, Cheng Wu:
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. IJCAI 2019: 3425-3431 - [c3]Chen Xu, Yaowu Mo, Guanjing Ren, Weijian Ma, Xin Wang, Wenjie Shi, Jinjian Hou, Ke Shao, Haojie Wang, Pengge Xiao, Zexu Shao, Xiao Xie, Xiaoyong Wang, Chris Yiu:
A Stacked Global-Shutter CMOS Imager with SC-Type Hybrid-GS Pixel and Self-Knee Point Calibration Single Frame HDR and On-Chip Binarization Algorithm for Smart Vision Applications. ISSCC 2019: 94-96 - [c2]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. NeurIPS 2019: 10231-10241 - [i3]Wenjie Shi, Shiji Song, Cheng Wu:
Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning. CoRR abs/1909.03198 (2019) - [i2]Wenjie Shi, Shiji Song, Cheng Wu, C. L. Philip Chen:
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles. CoRR abs/1909.03204 (2019) - [i1]Wenjie Shi, Shiji Song, Hui Wu, Ya-Chu Hsu, Cheng Wu, Gao Huang:
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning. CoRR abs/1909.03245 (2019) - 2018
- [c1]Wenjie Shi, Shiji Song, Cheng Wu:
High-Level Tracking of Autonomous Underwater Vehicles Based on Pseudo Averaged Q-Learning. SMC 2018: 4138-4143 - 2015
- [j1]Qiyan Wang
, Jian Bai
, Amir Abliz, Ying Liu, Kenan Gong
, Jingjing Li, Wenjie Shi
, Yaqi Pan
, Fangfang Liu
, Shujuan Lai
, Haijun Yang
, Changdong Lu, Lixin Zhang
, Wei Chen
, Ruiping Xu
, Hong Cai
, Yang Ke
, Changqing Zeng
:
An Old Story Retold: Loss of G1 Control Defines A Distinct Genomic Subtype of Esophageal Squamous Cell Carcinoma. Genom. Proteom. Bioinform. 13(4): 258-270 (2015)
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